.
├── Books
│ ├── AI
│ │ ├── AI+in+Banking_+The+Reality+Behind+the+Hype+–+Financial+Times+–+Medium.pdf
│ │ ├── Deep learning in your browser_ A brisk guide – Towards Data Science.pdf
│ │ ├── Mastering+Blockchain+Second+Edition+9781788839044.pdf
│ │ ├── Present+your+data+science+results+in+a+Jupyter+notebook,+the+right+way.pdf
│ │ ├── Some+Essential+Hacks+and+Tricks+for+Machine+Learning+with+Python.pdf
│ │ └── 人工智能(AI)程序设计(面向对象语言).pdf
│ ├── C
│ │ ├── (AChapman & Hall book) Ray Toal, Rachel Rivera, Alexander Schneider, Eileen Choe-Programming Language Explorations-CRC Press_Chapman and Hall_CRC (2017).pdf
│ │ ├── An_Introduction_to_Econophysics_Correlations_and_C.pdf
│ │ ├── Brian J. Gough, Richard M. Stallman-An Introduction to GCC-Network Theory Ltd. (2004).pdf
│ │ ├── Brian Kernighan and Dennis Ritchie - The C Programming Language (1988, Prentice Hall PTR).pdf
│ │ ├── Brian Kernighan and Dennis Ritchie-The C Programming Language-Prentice Hall PTR (1988).pdf
│ │ ├── Brian W. Kernighan, Dennis M. Ritchie-The C Programming Language, Second Edition (1988).pdf
│ │ ├── Brian W. Kernighan, Rob Pike - The Practice of Programming (1999, Addison-Wesley Professional).pdf
│ │ ├── Computer Systems: A Programmer’s Perspective.pdf
│ │ ├── C Traps and Pitfalls [Koenig 1989-01-11].pdf
│ │ ├── ctraps.pdf
│ │ ├── C和指针中文版.pdf
│ │ ├── C程序设计(C语言之父).pdf
│ │ ├── C语言的科学和艺术中文版.pdf
│ │ ├── Data-Structures-and-Algorithms-USING-C.pdf
│ │ ├── Easy Programming C Programming Language The ULtimate Beginners Guide.pdf
│ │ ├── Hagen-The Definitive Guide to GCC-Apress (2006).pdf
│ │ ├── Harry. H. Chaudhary.-C Programming __ The Ultimate Way to Learn The Fundamentals of The C Language.-CreateSpace Independent Publishing Platform (2014).pdf
│ │ ├── Linux C编程一站式学习.pdf
│ │ ├── Naveen Toppo, Hrishikesh Dewan (auth.) - Pointers in C_ A Hands on Approach (2013, Apress).pdf
│ │ ├── Noel Kalicharan-Learn to Program with C_ Learn to Program using the Popular C Programming Language-Apress (2015).pdf
│ │ ├── Peter Sestoft-Programming Language Concepts-Springer (2017).pdf
│ │ ├── Richard Reese - Understanding and Using C Pointers (2013, O'Reilly Media).pdf
│ │ ├── Richard Reese-Understanding and Using C Pointers-O'Reilly Media (2013).pdf
│ │ ├── Ruminations-on-C-A-Decade-of-Programming-Insight-and-Experience-C-.pdf
│ │ ├── Stephen G. Kochan Programming in C.epub
│ │ ├── [zixue7.com]_数据结构与算法分析：C语言描述（原书第2版）.pdf.crdownload
│ │ └── 代码阅读方法与实践.pdf
│ ├── C++
│ │ ├── Accelerated-C-Practical-Programming-by-Example.pdf
│ │ ├── (A Collection of Programming Interview Questions 3) Dr Antonio Gulli-A Collection of Bit Programming Interview Questions solved in C++-CreateSpace Independent Publishing Platform (2014).epub
│ │ ├── Adalat Khan-Learn Professional Programming Skill in C++ Programming Language-XLIBRIS (2013).azw3
│ │ ├── Andrei Alexandrescu - Modern C++ design_ generic programming and design patterns applied (2001, Addison-Wesley Professional).pdf
│ │ ├── Aristides Bouras, Loukia Ainarozidou-C++ and Algorithmic Thinking for the Complete Beginner_ Learn to Think Like a Programmer [Part 1 of 5] (2016).epub
│ │ ├── Assessing-and-Improving-Prediction-and-Classification-Theory-and-Algorithms-in-C-.pdf
│ │ ├── Bjarne Stroustrup-The C++ Programming Language, 4th Edition-Addison-Wesley Professional (2013).pdf
│ │ ├── C-How-to-Program-With-an-Introduction-to-C-.pdf
│ │ ├── Christopher Kormanyos (auth.)-Real-Time C++_ Efficient Object-Oriented and Template Microcontroller Programming-Springer-Verlag Berlin Heidelberg (2015).pdf
│ │ ├── -Data-Mining-Algorithms-in-C-Data-Patterns-and-Algorithms-for-Modern-Applications.pdf
│ │ ├── (Developer's library) Paul DuBois-MySQL-Addison-Wesley (2009) .pdf
│ │ ├── Dontae Grose II-Programming in C++_ Volume I_ The Foundation of C++ (2017).epub
│ │ ├── Dorian P. Yeager-Object-Oriented Programming Languages and Event-Driven Programming-Mercury Learning & Information (2014).epub
│ │ ├── D. S. Malik-C++ Programming_ From Problem Analysis to Program Design-Course Technology (2014).pdf
│ │ ├── (For Dummies_ Computer_Tech) John Paul Mueller, Luca Massaron-Algorithms For Dummies-Wiley (2017).azw3
│ │ ├── Gaston C. Hillar-Learning Object-Oriented Programming-Packt Publishing (2015).pdf
│ │ ├── Hari Mohan Pandey-Object - Oriented Programming C++ Simplified-Laxmi Publications (2017).pdf
│ │ ├── Harper R-Practical Foundations for Programming Languages-Cambridge University Press (2016).pdf
│ │ ├── [Herb_Sutter,_Andrei_Alexandrescu]_C++_Coding_Stan(b-ok.org).epub
│ │ ├── Isaac D. Cody-Data Analytics and Linux Operating System-CreateSpace Independent Publishing Platform (2016).pdf
│ │ ├── Kurt Guntheroth - Optimized C++_ Proven Techniques for Heightened Performance (2016, O’Reilly Media).pdf
│ │ ├── (Lecture Notes in Computer Science 10101) Christian Bessiere, Luc De Raedt, Lars Kotthoff, Siegfried Nijssen, Barry O'Sullivan, Dino Pedreschi (eds.)-Data Mining and Constraint Programming_ Foundation.pdf
│ │ ├── Mark Lutz-Learning Python_ powerful object-oriented programming-O'Reilly Media (2013).epub
│ │ ├── Norman Matloff-The Art of Debugging With GDB and DDD (2013).pdf
│ │ ├── [Open Source Software Development Series] Jasmin Blanchette, Mark Summerfield - C++ GUI Programming with Qt 4 (2008, Prentice Hall in association with Trolltech Press).pdf
│ │ ├── Paul DuBois-MySQL Cookbook_ Solutions for Database Developers and Administrators-O'Reilly Media (2014).pdf
│ │ ├── progcpp.pdf
│ │ ├── Robert Harper-Practical Foundations for Programming Languages-Cambridge University Press (2012).pdf
│ │ ├── Robert Harper-Practical Foundations for Programming Languages-Cambridge University Press (2016).epub
│ │ ├── (Sams Teach Yourself) Siddhartha Rao-C++ in One Hour a Day-Sams Publishing (2017) (1).pdf
│ │ ├── (Sams Teach Yourself) Siddhartha Rao-C++ in One Hour a Day-Sams Publishing (2017).pdf
│ │ ├── Sengupta, Saumyendra_ Korobkin, Carl Phillip-C++ Object-oriented Data Structures-Korobkin, Carl P., Sengupta, Saumyendra., Springer-Verlag New York Inc (2014).pdf
│ │ ├── Steven F. Lott-Mastering Object-oriented Python-Packt Publishing (2014).pdf
│ │ ├── Stroustrup, Bjarne-Programming_ Principles and Practice Using C++ , Second Edition-Pearson Education_Addison-Wesley Professional (2015).epub
│ │ ├── Tatyana Sopronyuk, Nonna Shulga-150 C++ Programming Assignments. Variants of tasks & Examples of Code (2015).epub
│ │ ├── Tatyana Sopronyuk, Nonna Shulga-Object-oriented programming in C++ (2014).epub
│ │ ├── T.R. Padmanabhan-Programming with Python-Springer (2017).pdf
│ │ ├── 我的第一本C++.pdf
│ │ ├── 面向对象程序设计—C++语言描述.pdf
│ │ └── 高质量程序设计指南C++C语言(第3版)+.pdf
│ ├── CS
│ │ ├── Andrew Koenig - C traps and pitfalls (1989, Addison-Wesley Professional).pdf
│ │ ├── Andy Hunt - Pragmatic Thinking and Learning_ Refactor Your Wetware (Pragmatic Programmers) (2008, Pragmatic Bookshelf).pdf
│ │ ├── [Andy_Oram,_Greg_Wilson]_Beautiful_Code_Leading_P(b-ok.xyz).pdf
│ │ ├── Ashwin Pajankar (auth.)-Python Unit Test Automation _ Practical Techniques for Python Developers and Testers-Apress (2017).pdf
│ │ ├── Bertrand Meyer (auth.) - Agile!_ The Good, the Hype and the Ugly (2014, Springer International Publishing).pdf
│ │ ├── [Book_CD-ROM] Bertrand Meyer - Object-Oriented Software Construction (Book_CD-ROM) (2000, Prentice Hall).pdf
│ │ ├── (Chapman & Hall_CRC the R series (CRC Press)) Matloff, Norman S.-Parallel computing for data science _ with examples in R, C++ and CUDA-CRC Press (2016).pdf
│ │ ├── Computer Age Statistical Inference.pdf
│ │ ├── Czarnul, Pawel - Parallel programming for modern high performance computing systems (2018, Chapman & Hall_CRC).pdf
│ │ ├── Data-Structures-and-Algorithm-Analysis-in-C-.pdf
│ │ ├── Girish Suryanarayana, Ganesh Samarthyam, Tushar Sharma-Refactoring for Software Design Smells_ Managing Technical Debt-Morgan Kaufmann (2014).pdf
│ │ ├── Hal Abelson_ Gerald Jay Sussman - Structure and Interpretation of Computer Programs (2002, MIT Press).mobi
│ │ ├── Hal Abelson_ Gerald Jay Sussman - Structure and Interpretation of Computer Programs (2002, MIT Press).pdf
│ │ ├── John F. Dooley (auth.)- Software Development, Design and Coding_ With Patterns, Debugging, Unit Testing, and Refactoring-Apress (2017).pdf
│ │ ├── Kent D. Lee - Foundations of Programming Languages (2018, Springer).pdf
│ │ ├── [Lecture Notes in Computer Science 10778] Roman Wyrzykowski, Jack Dongarra, Ewa Deelman, Konrad Karczewski - Parallel Processing and Applied Mathematics (2018, Springer International Publishing).pdf
│ │ ├── Manuel Mazzara, Bertrand Meyer - Present and Ulterior Software Engineering (2017, Springer).pdf
│ │ ├── [Mark_Allen_Weiss]_Algorithms,_data_structures,_an(b-ok.xyz).pdf
│ │ ├── [Mark_Allen_Weiss]_Algorithms,_Data_Structures,_an(b-ok.xyz).pdf
│ │ ├── [Mark_Allen_Weiss]_Data_Structures_and_Algorithm_A(b-ok.org).djvu
│ │ ├── Mark A. Weiss-Data Structures and Algorithm Analysis in C++-Pearson (2014).pdf.crdownload
│ │ ├── Maya Posch - Mastering C++ Multithreading_ Write robust, concurrent, and parallel applications (2017, Packt Publishing).pdf
│ │ ├── Roman Trobec, Boštjan Slivnik, Patricio Bulić, Borut Robič - Introduction to Parallel Computing. From Algorithms to Programming on State-of-the-Art Platforms (2018, Springer).pdf
│ │ ├── sicp.pdf
│ │ ├── [SpringerBriefs in Computational Intelligence] João Baúto,Rui Neves,Nuno Horta (auth.) - Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs (2018, Springer International Publishing).pdf
│ │ ├── (Studies in computational intelligence 719) Lee, Roger-Computer and information science (2018).pdf.crdownload
│ │ ├── [The Morgan Kaufmann Series in Computer Architecture and Design] John L. Hennessy, David A. Patterson - Computer Architecture, Sixth Edition_ A Quantitative Approach (2017, Morgan Kaufmann).pdf
│ │ ├── (Theory in Practice) Andy Oram, Greg Wilson-Beautiful Code_ Leading Programmers Explain How They Think-O'Reilly Media (2007).pdf.crdownload
│ │ ├── 卓有成效的程序员(精选版).pdf
│ │ └── [数据结构与算法C..版].Data.Structures.and.Algorithms.in.C...(Adam.Drozdek).2nd.Ed.2001.pdf
│ ├── DataScience
│ │ ├── (Advances in Intelligent Systems and Computing 456) Maria Brigida Ferraro, Paolo Giordani, Barbara Vantaggi, Marek Gagolewski, María Ángeles Gil, Przemysław Grzegorzewski, Olgierd Hryniewicz (eds.)-So.pdf
│ │ ├── Alberto Cairo-The Truthful Art_ Data, Charts, and Maps for Communication-New Riders (2016).epub
│ │ ├── Allen B. Downey-Think Stats, 2nd Edition_ Exploratory Data Analysis-O'Reilly Media (2014).pdf
│ │ ├── Brian Steele, John Chandler, Swarna Reddy-Algorithms for Data Science-Springer (2017).pdf
│ │ ├── (Chapman and Hall_CRC the R Ser) Krider, Robert E._ Putler, Daniel S-Customer and Business Analytics _ Applied Data Mining for Business Decision Making Using R-CRC Press [Imprint, Taylor & Francis Gro.pdf
│ │ ├── Cole Nussbaumer Knaflic-Storytelling with Data_ A Data Visualization Guide for Business Professionals-Wiley (2015).pdf
│ │ ├── Command+Line+Tricks+For+Data+Scientists+–+Kade+Killary+–+Medium.pdf
│ │ ├── Douglas McIlwraith, Haralambos Marmanis, Dmitry Babenko-Algorithms of the Intelligent Web-Manning Publications (2016).pdf
│ │ ├── Jeroen Janssens Data Science at the Command Line Facing the Future with Time-Tested Tools.pdf
│ │ ├── Joel Grus-Data Science from Scratch_ First Principles with Python-O'Reilly Media (2015).pdf
│ │ ├── Modern Data Science with R.pdf
│ │ ├── Ralph Kimball, Margy Ross-The Data Warehouse Toolkit_ The Definitive Guide to Dimensional Modeling-Wiley (2013).pdf
│ │ ├── (Statistics in the social and behavioral sciences series) Ian Foster, Rayid Ghani, Ron S. Jarmin, Frauke Kreuter, Julia Lane-Big data and social science_ a practical guide to methods and tools-Chapman.pdf
│ │ ├── (Studies in Big Data 26) Srinivasan S. (ed.)-Guide to Big Data Applications-Springer (2018).pdf
│ │ ├── Ted Dunning, Ellen Friedman-Time Series Databases_ New Ways to Store and Access Data-O'Reilly Media (2014).pdf
│ │ ├── Torgo, Luís Data Mining with R Learning with Case Studies, Second Edition.pdf
│ │ ├── 常用SQL命令和VBA代码.doc
│ │ └── 数据分析修炼手册.docx
│ ├── Data Visualization
│ │ ├── Building Responsive Data Visualization for the Web.pdf
│ │ ├── Expert-Data-Visualization.pdf
│ │ ├── Interactive-Data-Visualization-Foundations-Techniques-and-Applications-Second-Edition.pdf
│ │ ├── Making-Sense-of-Data-Designing-Effective-Visualizations.pdf
│ │ └── Text-mining-and-visualization-case-studies-using-open-source-tools.pdf
│ ├── Econometrics
│ │ ├── Mastering-Metrics-The-Path-from-Cause-to-Effect.epub
│ │ ├── Mastering_’Metrics_The_Path_from_Cause_to_Effect.pdf
│ │ └── 高级计量经济学中文版_洪永淼.pdf
│ ├── Finance
│ │ ├── (A Chapman & Hall book) Masanobu Taniguchi, Hiroshi Shiraishi, Junichi Hirukawa, Hiroko Kato Solvang, Takashi Yamashita-Statistical Portfolio Estimation-CRC Press_Chapman and Hall_CRC (2018).pdf
│ │ ├── [Advanced Studies in Theoretical and Applied Econometrics 48] Jan Beran, Yuanhua Feng, Hartmut Hebbel (eds.) - Empirical Economic and Financial Research_ Theory, Methods and Practice (2015, Springer International Publishing).pdf
│ │ ├── Agarwal, Saurabh-Portfolio Selection Using Multi-Objective Optimisation-Springer International Publishing (2017).pdf
│ │ ├── Albina Unger (auth.)-The Use of Risk Budgets in Portfolio Optimization-Gabler Verlag (2015).pdf
│ │ ├── Balch, Tucker_ Romero, Phillip J-What Hedge Funds Do _ An Introduction to Quantitative Portfolio Management-Business Expert Press_McGraw-Hill Education (2014).pdf
│ │ ├── Ben Emons (auth.)-Mastering Stocks and Bonds_ Understanding How Asset Cross-Over Strategies will Improve Your Portfolio’s Performance-Palgrave Macmillan US (2015).pdf
│ │ ├── Bernhard Pfaff-Financial Risk Modelling and Portfolio Optimization with R-Wiley (2016).pdf
│ │ ├── Danielle DiMartino Booth-Fed Up_ An Insider’s Take on Why the Federal Reserve is Bad for America-Portfolio (2017).epub
│ │ ├── (Dynamic Modeling and Econometrics in Economics and Finance 18) Carl Chiarella, Willi Semmler, Chih-Ying Hsiao, Lebogang Mateane (auth.)-Sustainable Asset Accumulation and Dynamic Portfolio Decisions-.pdf
│ │ ├── (Financial Management Association survey and synthesis series) Kerry E. Back-Asset pricing and portfolio choice theory-Oxford University Press (2017).pdf
│ │ ├── (Frank J. Fabozzi Series) Frank J. Fabozzi, Dessislava A. Pachamanova-Portfolio Construction and Analytics-Wiley (2016).pdf
│ │ ├── H. Kent Baker, Greg Filbeck-Portfolio Theory and Management-Oxford University Press (2013).pdf
│ │ ├── Jacques Lussier-Successful Investing Is a Process_ Structuring Efficient Portfolios for Outperformance-Bloomberg Press (2013).pdf
│ │ ├── John B. Guerard, Jr. (eds.)-Portfolio Construction, Measurement, and Efficiency_ Essays in Honor of Jack Treynor-Springer International Publishing (2017).pdf
│ │ ├── (Management for Professionals) Marcus Schulmerich, Yves-Michel Leporcher, Ching-Hwa Eu (auth.)-Applied Asset and Risk Management_ A Guide to Modern Portfolio Management and Behavior-Driven Markets-Spr.pdf
│ │ ├── Matthew P. Erickson-Asset Rotation_ The Demise of Modern Portfolio Theory and the Birth of an Investment Renaissance-Wiley (2014).pdf
│ │ ├── Megha Agarwal (auth.)-Developments in Mean-Variance Efficient Portfolio Selection-Palgrave Macmillan UK (2015).pdf
│ │ ├── (New Developments in Quantitative Trading and Investment) Christian L. Dunis, Peter W. Middleton, Andreas Karathanasopolous, Konstantinos Theofilatos (eds.)-Artificial Intelligence in Financial Market.pdf
│ │ ├── Riccardo Rebonato, Alexander Denev-Portfolio Management under Stress_ A Bayesian-Net Approach to Coherent Asset Allocation-Cambridge University Press (2014).pdf
│ │ ├── Robert Dochow (auth.)-Online Algorithms for the Portfolio Selection Problem-Gabler Verlag (2016).pdf
│ │ ├── Robert Kissell (Auth.)-The Science of Algorithmic Trading and Portfolio Management-Academic Press (2013).pdf
│ │ ├── Russ Roberts-How Adam Smith Can Change Your Life_ An Unexpected Guide to Human Nature and Happiness-Portfolio Hardcover (2014).epub
│ │ ├── Stephen Satchell (eds.)-Asset Management_ Portfolio Construction, Performance and Returns-Palgrave Macmillan (2016).pdf
│ │ ├── (The Wiley Finance Series) Kula, Gökhan_ Raab, Martin-Beyond Smart Beta _ Index Investment Strategies for Modern Portfolio Management-John Wiley & Sons (2017).pdf
│ │ ├── Thomas K. Lloyd(auth.)-Successful Stock Signals for Traders and Portfolio Managers_ Integrating Technical Analysis with Fundamentals to Improve Performance-Wiley (2013).pdf
│ │ └── (Uncertainty and Operations Research) Zhongfeng Qin (auth.)-Uncertain Portfolio Optimization-Springer Singapore (2016).pdf
│ ├── GNU
│ │ ├── Bill McCarty-Learning Debian GNU_Linux-O'Reilly Media (1999).pdf
│ │ ├── Bill McCarty-Learning Debian GNU_Linux-O'Reilly Media (1999).pdf.crdownload
│ │ ├── Brian J. Gough, Richard M. Stallman-An Introduction to GCC_ For the GNU Compilers GCC and G++-Network Theory Ltd. (2004).pdf
│ │ ├── (Expert's Voice in Linux) Chris Johnson-Pro Bash Programming_ Scripting the GNU_Linux Shell-Apress (2009).pdf
│ │ ├── (Nutshell Handbooks) Robert Mecklenburg-Managing Projects with GNU Make -O'Reilly Media (2004).pdf
│ │ ├── (Programming Series) M. Tim(M. Tim Jones) Jones-GNU_Linux application programming-Charles River Media (2008).pdf
│ │ ├── Richard M. Stallman, Roland Pesch, Stan Shebs-Debugging with GDB_ The GNU Source-Level Debugger-Free Software Foundation (2002).pdf
│ │ ├── Steve Hunger-Debian GNU_Linux Bible-Hungry Minds (2001).pdf
│ │ └── Steve Hunger-Debian GNU_Linux Bible-Hungry Minds (2001).pdf.crdownload
│ ├── HFT
│ │ ├── High_Frequency_Trading_and_Modeling_in_Finance.pdf
│ │ ├── High-frequency trading - a practical guide to algorithmic strategies and trading systems.pdf
│ │ ├── High-frequency Trading.pdf
│ │ └── [Zhaodong_Wang,_Weian_Zheng]_High-Frequency_Tradining_and_Probability_Theory.pdf
│ ├── Investing
│ │ ├── Frank K. Martin, John C. Bogle-A Decade of Delusions_ From Speculative Contagion to the Great Recession-Wiley (2011).pdf
│ │ ├── John C. Bogle, Arthur Levitt Jr-The Clash of the Cultures_ Investment vs. Speculation-Wiley (2012).epub
│ │ └── (Little Books. Big Profits) John C. Bogle-The Little Book of Common Sense Investing_ The Only Way to Guarantee Your Fair Share of Stock Market Returns-Wiley (2017).epub
│ ├── Linux
│ │ ├── Arnold Robbins-Bash Pocket Reference_ Help for Power Users and Sys Admins-O'Reilly Media (2016).pdf
│ │ ├── Carl Albing, JP Vossen-bash Cookbook_ Solutions and Examples for bash Users-O’Reilly Media (2017).pdf
│ │ ├── Chris Johnson, Jayant Varma-Pro Bash Programming, Second Edition_ Scripting the GNU_Linux Shell-Apress (2015) (1).pdf
│ │ ├── Chris Johnson, Jayant Varma-Pro Bash Programming, Second Edition_ Scripting the GNU_Linux Shell-Apress (2015).pdf
│ │ ├── Command-Line-Kung-Fu-Bash-Scripting-Tricks-Linux-Shell-Programming-Tips-and-Bash-One-liners.pdf
│ │ ├── Dan Peleg-Mastering Sublime Text-Packt Publishing (2013).pdf
│ │ ├── (developer’s series) William “Bo” Rothwell-Linux for Developers Jumpstart Your Linux Programming Skills-Addison-Wesley (2017).pdf
│ │ ├── Emma Jane Hogbin Westby-Git for Teams_ A User-Centered Approach to Creating Efficient Workflows in Git-O'Reilly Media (2015).pdf
│ │ ├── Ferdinando Santacroce - Git Essentials (2017, Packt Publishing).pdf
│ │ ├── Giorgio Zarrelli-Mastering Bash-Packt Publishing (2017).azw3
│ │ ├── Jakub Narebski-Mastering Git_ Attain expert-level proficiency with Git for enhanced productivity and efficient collaboration by mastering advanced distributed version control features-Packt Publishing.pdf
│ │ ├── Jonathan Bates-Linux Mastery The Ultimate Linux Operating System and Command Line Mastery-CreatеSpace Indepеndent Publishing Platform (2016).pdf
│ │ ├── Laster, Brent-Professional Git-Wrox (2016).pdf
│ │ ├── Linux-Administration-A-Beginner-s-Guide.pdf
│ │ ├── -Linux command line cookbook.pdf
│ │ ├── Machtelt Garrels-BASH Guide for Beginners-CreateSpace (2009).pdf
│ │ ├── Mark G. Sobell, Matthew Helmke-A practical Guide to Linux Commands, Editors and Shell Programming-Addison-Wesley (2018).pdf
│ │ ├── Matt Bailey-CoreOS in Action. Running Applications on Container Linux-Manning Publications (2017).pdf
│ │ ├── Mendel Cooper-Advanced Bash-Scripting Guide (2008).pdf
│ │ ├── Mendel Cooper-Advanced Bash-Scripting Guide_ An in-depth exploration of the art of shell scripting (2014).pdf
│ │ ├── Mike McQuaid - Git in Practice (2014, Manning Publications).pdf
│ │ ├── Nicholas Marsh-Introduction to the Command Line (Second Edition)_ The Fat Free Guide to Unix and Linux Commands .pdf
│ │ ├── Petru Isfan, Bogdan Vaida-Working with Linux – Quick Hacks for the Command Line-Packt.pdf
│ │ ├── Pro-Bash-Programming-2nd-Edition-Scripting-the-GNU-Linux-Shell.pdf
│ │ ├── Richard Blum, Christine Bresnahan-Linux Command Line and Shell Scripting Bible-Wiley (2015).pdf
│ │ ├── Sander van Vugt-Beginning the Linux Command Line-Apress (2015).pdf
│ │ ├── Shaumik Daityari - Jump Start Git (2015, SitePoint).pdf
│ │ ├── Steve Parker-Shell Scripting_ Expert Recipes for Linux, Bash and More -John Wiley & Sons (2011).pdf
│ │ ├── UNIX-and-Linux-System-Administration-Handbook.pdf
│ │ ├── William E. Shotts, Jr.-The Linux command line_ a complete introduction-No Starch Press (2013).pdf
│ │ ├── 只是为了好玩-Linus Torvalds 自传.pdf
│ │ └── 珍藏--只是为了好玩：Linux之父林纳斯自传.pdf
│ ├── MachineLearning
│ │ ├── (Adaptive Computation and Machine Learning series) Ethem Alpaydin-Introduction to Machine Learning-The MIT Press (2014).pdf
│ │ ├── Akansu, Ali N._ Kulkarni, Sanjeev_ Malioutov, Dmitry-Financial signal processing and machine learning-Wiley _ IEEE Press (2016).pdf
│ │ ├── Atul Tripathi-Practical machine learning cookbook-Packt Publishing (2017).pdf
│ │ ├── Aurélien Géron-Hands-On Machine Learning with Scikit-Learn and TensorFlow_ Concepts, Tools, and Techniques to Build Intelligent Systems-O’Reilly Media (2017).epub
│ │ ├── Bashier, Eihab Bashier Mohammed_ Khan, Muhammad Badruddin_ Mohammed, Mohssen-Machine learning_ algorithms and applications-CRC Press (2017).epub
│ │ ├── Bruce Ratner-Statistical and Machine-Learning Data Mining_ Techniques for Better Predictive Modeling and Analysis of Big Data, Second Edition-CRC Press (2011).pdf
│ │ ├── Danish Haroon-Python Machine Learning Case Studies_ Five Case Studies for the Data Scientist-Apress (2017).pdf.crdownload
│ │ ├── David Barber-Bayesian Reasoning and Machine Learning-Cambridge University Press (2014).pdf
│ │ ├── Davy Cielen, Arno Meysman, Mohamed Ali-Introducing Data Science_ Big Data, Machine Learning and More, Using Python tools-Manning Publications (2016).pdf
│ │ ├── Davy Cielen, Arno Meysman, Mohamed Ali-Introducing Data Science_ Big Data, Machine Learning and More, Using Python tools-Manning Publications (2016).pdf.crdownload
│ │ ├── Ethem Alpaydin-Machine Learning. The New AI-The MIT Press (2017).pdf
│ │ ├── Fundamentals of Machine Learning for Predictive Data Analytics.pdf
│ │ ├── (Information Science and Statistics) Vladimir Vapnik-The Nature Of Statistical Learning-Springer (2010).pdf
│ │ ├── (Intelligent Systems Reference Library 109) Achim Zielesny-From Curve Fitting to Machine Learning_ An Illustrative Guide to Scientific Data Analysis and Computational Intelligence-Springer (2016).pdf (1).crdownload
│ │ ├── (Intelligent Systems Reference Library 109) Achim Zielesny-From Curve Fitting to Machine Learning_ An Illustrative Guide to Scientific Data Analysis and Computational Intelligence-Springer (2016).pdf.crdownload
│ │ ├── Karthik Ramasubramanian, Abhishek Singh (auth.)-Machine Learning Using R-Apress (2017).pdf
│ │ ├── [Kevin_P._Murphy]_Machine_Learning_A_Probabilisti(b-ok.org).pdf
│ │ ├── Kubát, Miroslav-An Introduction to Machine Learning-Springer International Publishing _ Imprint_ Springer (2017).pdf
│ │ ├── Luis Pedro Coelho, Willi Richert-Building Machine Learning Systems with Python, 2nd Edition_ Get more from your data through creating practical machine learning systems with Python-Packt Publishing (2.pdf
│ │ ├── Mark Stamp-Introduction to Machine Learning with Applications in Information Security-CRC (2018).pdf
│ │ ├── Masashi Sugiyama-Introduction to Statistical Machine Learning-Morgan Kaufmann Publishers (2016) (1).pdf
│ │ ├── Masashi Sugiyama-Introduction to Statistical Machine Learning-Morgan Kaufmann Publishers (2016).pdf
│ │ ├── Masashi Sugiyama-Statistical Reinforcement Learning_ Modern Machine Learning Approaches-Chapman and Hall_CRC (2015).pdf
│ │ ├── Matthew Kirk-Thoughtful Machine Learning with Python A Test-Driven Approach-O'Reilly (2017).pdf
│ │ ├── Matthew Kirk-Thoughtful Machine Learning with Python_ A Test-Driven Approach-O’Reilly (2017).pdf
│ │ ├── Mohssen Mohammed, Muhammad Badruddin Khan, Eihab Bashier Mohammed Bashier-Machine Learning. Algorithms and Applications-CRC (2017).pdf
│ │ ├── (Morgan Kaufmann Series in Data Management Systems) Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher J. Pal-Data Mining_ Practical Machine Learning Tools and Techniques-Morgan Kaufmann (2016).pdf
│ │ ├── (Multivariate Analysis 1) Alboukadel Kassambara-Practical Guide to Cluster Analysis in R. Unsupervised Machine Learning-STHDA (2017).pdf
│ │ ├── N D Lewis-Deep Time Series Forecasting with Python_ An Intuitive Introduction to Deep Learning for Applied Time Series Modeling-CreateSpace Independent Publishing Platform (2016).pdf
│ │ ├── N D Lewis-Machine Learning Made Easy with R. An Intuitive Step by Step Blueprint for Beginners-CreateSpace Independent (2017).pdf
│ │ ├── N.D. Lewis-Neural Networks for Time Series Forecasting with R-N.D. Lewis (2017).pdf
│ │ ├── (Net Developers) Sergios Theodoridis-Machine Learning_ A Bayesian and Optimization Perspective-Academic Press (2015).pdf.crdownload
│ │ ├── Nikhil Buduma, Nicholas Locascio-Fundamentals of Deep Learning_ Designing Next-Generation Machine Intelligence Algorithms-O’Reilly Media (2017).pdf
│ │ ├── Nikhil Ketkar-Deep Learning with Python. A Hands-on Introduction-Apress (2017).pdf
│ │ ├── Raghav Bali, Dipanjan Sarkar-R Machine Learning by Example-Packt (2016).pdf
│ │ ├── Reinforcement-Learning-An-Introduction.pdf
│ │ ├── (Springer Texts in Statistics) Alan J. Izenman (auth.)-Modern multivariate statistical techniques_ Regression, classification, and manifold learning-Springer-Verlag New York (2008).pdf
│ │ ├── (Springer Texts in Statistics) Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani-An Introduction to Statistical Learning with Applications in R-Springer (2014).pdf
│ │ ├── (Springer Texts in Statistics) Richard A. Berk (auth.)-Statistical Learning from a Regression Perspective-Springer International Publishing (2016).pdf
│ │ ├── (Studies in Classification, Data Analysis, and Knowledge Organization) Udo Bankhofer, Dieter William Joenssen (auth.), Myra Spiliopoulou, Lars Schmidt-Thieme, Ruth Janning (eds.)-Data Analysis, Machin.pdf
│ │ ├── Sugiyama, Masashi-Introduction to Statistical Machine Learning-Morgan Kaufmann (2016).pdf
│ │ └── Viswa Viswanathan et al.-R_ Recipes for Analysis, Visualization and Machine Learning-Packt Publishing (2016).pdf
│ ├── Python
│ │ ├── Acodemy-Python_ Learn Web Scraping with Python In A DAY! _ The Ultimate Crash Course to Learning the Basics of Web Scraping with Python In No Time (2015).epub
│ │ ├── Aditya Bhargava-Grokking Algorithms_ An Illustrated Guide for Programmers and Other Curious People-Manning Publications (2016).pdf
│ │ ├── Ajay Ohri-Python for R Users-Wiley (2017).pdf
│ │ ├── Alex Martelli, Anna Ravenscroft, Steve Holden-Python in a Nutshell. A Desktop Quick Reference-O’Reilly (2017).pdf
│ │ ├── Ashwin Pajankar (auth.)-Python Unit Test Automation _ Practical Techniques for Python Developers and Testers-Apress (2017).pdf
│ │ ├── Automate-it-Recipes-to-upskill-your-business.pdf
│ │ ├── Automate the Boring Stuff with Python.pdf
│ │ ├── B. M. Harwani - Introduction to Python Programming and Developing GUI Applications with PyQT (2011, Cengage Learning PTR).pdf
│ │ ├── B.M. Harwani - Qt5 Python GUI Programming Cookbook (2018, Packt).pdf
│ │ ├── Brett Slatkin-Effective Python_ 59 SPECIFIC WAYS TO WRITE BETTER PYTHON-Addison-Wesley (2015).pdf
│ │ ├── Brian Okken - Python Testing with pytest_ Simple, Rapid, Effective, and Scalable (2017, Pragmatic Bookshelf).pdf
│ │ ├── Cathy O'Neil, Rachel Schutt-Doing Data Science_ Straight Talk from the Frontline-O'Reilly Media (2013).pdf
│ │ ├── Clinton W. Brownley-Foundations for Analytics with Python-O’Reilly Media (2016).epub
│ │ ├── (Community experience distilled) Sams, Prashanth-Selenium Essentials _ get to grips with automated web testing with the amazing power of Selenium WebDriver-Packt Publishing - ebooks Account (2015).pdf
│ │ ├── Comparative-Approaches-to-Using-R-and-Python-for-Statistical-Data-Analysis.pdf
│ │ ├── Cyrille Rossant-IPython Interactive Computing and Visualization Cookbook_ Over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science with Python-Packt Pu.pdf
│ │ ├── Daniel Y. Chen-Pandas for Everyone. Python Data Analysis-Addison-Wesley Professional (2017).pdf
│ │ ├── Data Science Essentials in Python Collect - Organize - Explore - Predict - Value.pdf
│ │ ├── Data-Structures-and-Algorithms-with-Python.pdf
│ │ ├── David Paper - Data Science Fundamentals for Python and MongoDB (2018, Apress).pdf
│ │ ├── Davy Cielen, Arno Meysman, Mohamed Ali-Introducing Data Science_ Big Data, Machine Learning, and more, using Python tools-Manning Publications (2016).pdf
│ │ ├── Doglio F.-Mastering Python High Performance.mobi
│ │ ├── Earnest Wish, Leo-Python Web Hacking Essentials-Amazon Digital Services, Inc. (2015).pdf
│ │ ├── Ethem Alpaydin-Machine Learning. The New AI-The MIT Press (2017).pdf
│ │ ├── Explorations-in-Computing-An-Introduction-to-Computer-Science-and-Python-Programming.pdf
│ │ ├── Fluent Python - Clear, Concise, and Effective Programming.pdf
│ │ ├── Gábor László Hajba - Website Scraping with Python_ Using Beautifulsoup and Scrapy (2018, Apress).pdf
│ │ ├── [Giancarlo_Zaccone]_Python_Parallel_Programming_Co(b-ok.org).pdf
│ │ ├── Herron Philip. - Learning Cython Programming (Code Only) .zip
│ │ ├── HighPerformancePythonfromTrainingatEuroPython2011_v0.2.pdf
│ │ ├── High Performance Python.pdf
│ │ ├── Intermediate-Python.pdf
│ │ ├── IPython-Interactive-Computing-and-Visualization-Cookbook-Over-100-hands-on-recipes-to-sharpen-your-skills-in-high-performance-numerical-computing-and-data-science-with-Python.pdf
│ │ ├── Jacob Zimmerman-Python Descriptors-Apress (2017).pdf
│ │ ├── Jacqueline Kazil, Katharine Jarmul-Data Wrangling with Python_ Tips and Tools to Make Your Life Easier-O'Reilly Media (2016).pdf
│ │ ├── Jake VanderPlas-Python Data Science Handbook_ Essential Tools for Working with Data-O’Reilly Media (2016).epub
│ │ ├── Jake VanderPlas-Python Data Science Handbook_ Essential Tools for Working with Data-O’Reilly Media (2016).pdf
│ │ ├── John M. Stewart-Python for Scientists-Cambridge University Press (2017).pdf
│ │ ├── John V. Guttag-Introduction to Computation and Programming Using Python_ With Application to Understanding Data-The MIT Press (2016).mobi
│ │ ├── J. R. Parker-Python An Introduction to Programming-Mercury Learning & Information (2016).pdf
│ │ ├── Kenneth Reitz, Tanya Schlusser-The Hitchhiker’s Guide to Python_ Best Practices for Development-O’Reilly Media (2016).pdf
│ │ ├── Kurt W. Smith - Cython_ A Guide for Python Programmers (2015, O’Reilly Media).pdf
│ │ ├── Kyran Dale-Data Visualization with Python and JavaScript_ Scrape, Clean, Explore & Transform Your Data-O’Reilly Media (2016).pdf
│ │ ├── Learning-Cython-Programming.pdf
│ │ ├── Luciano Ramalho-Fluent Python-O'Reilly Media (2015).pdf
│ │ ├── Magnus Lie Hetland-Beginning Python_ From Novice to Professional-Apress (2017).pdf
│ │ ├── Mastering-Predictive-Analytics-with-Python.pdf
│ │ ├── Michael Heydt-Learning pandas_ Get to grips with pandas - a versatile and high-performance Python library for data manipulation, analysis, and discovery-Packt Publishing (2015).pdf
│ │ ├── Michael Heydt-Mastering Pandas for Finance-Packt Publishing (2015).pdf
│ │ ├── Michael Heydt - Python Web Scraping Cookbook_ Over 90 proven recipes to get you scraping with Python, micro services, Docker and AWS (2018, Packt Publishing).pdf
│ │ ├── Michael Stueben - Good Habits for Great Coding_ Improving Programming Skills with Examples in Python (2018, Apress).pdf
│ │ ├── [Micha_Gorelick,_Ian_Ozsvald]_High_Performance_Pyt(b-ok.org).pdf
│ │ ├── Micha Gorelick, Ian Ozsvald-High Performance Python-O’Reilly (2015) (1).epub
│ │ ├── Micha Gorelick, Ian Ozsvald-High Performance Python-O’Reilly (2015).epub
│ │ ├── Micha Gorelick, Ian Ozsvald-High Performance Python_ Practical Performant Programming for Humans-O'Reilly Media (2014).pdf
│ │ ├── Michal Jaworski, Tarek Ziade-Expert Python Programming, 2nd Edition_ Become an ace Python programmer by learning best coding practices and advance-level concepts with Python 3.5-Packt Publishing (2016.pdf
│ │ ├── Michal Jaworski, Tarek Ziade-Expert Python Programming-Packt Publishing (2016).epub
│ │ ├── Narasimha Karumanchi-Data Structure and Algorithmic Thinking with Python Data Structure and Algorithmic Puzzles-CareerMonk Publications (2016).pdf
│ │ ├── Noah Gift, Jeremy Jones-Python for Unix and Linux System Administration-O'Reilly Media (2008).pdf
│ │ ├── Percival, H.J.W.-Test-Driven Development with Python_ Obey the Testing Goat_ Using Django, Selenium, and JavaScript-O’Reilly Media (2017).pdf
│ │ ├── Peter R. Turner, Thomas Arildsen, Kathleen Kavanagh - Applied Scientific Computing with Python (2018, Springer).pdf
│ │ ├── Prabhanjan Tattar, Tony Ojeda, Sean Patrick Murphy, Benjamin Bengfort, Abhijit Dasgupta-Practical Data Science Cookbook_ Data pre-processing, analysis and visualization using R and Python-Packt Publis (1).pdf
│ │ ├── Prabhanjan Tattar, Tony Ojeda, Sean Patrick Murphy, Benjamin Bengfort, Abhijit Dasgupta-Practical Data Science Cookbook_ Data pre-processing, analysis and visualization using R and Python-Packt Publis.pdf
│ │ ├── [Prentice Hall open source software development series] Mark Summerfield - Rapid GUI programming with Python and Qt_ the definitive guide to PyQt programming (2008, Prentice Hall).pdf
│ │ ├── Python-201-Intermediate-Python.pdf
│ │ ├── Python-Data-Structures-and-Algorithms.pdf
│ │ ├── Python_High_Performance，2ed.pdf
│ │ ├── Python-High-Performance.pdf
│ │ ├── Python High Performance Programming - Lanaro, Gabriele.pdf
│ │ ├── Python-master-the-art-of-design-patterns.pdf
│ │ ├── Python Programming Advanced.djvu
│ │ ├── Python-Programming-An-Introduction-to-Computer-Science.pdf
│ │ ├── Python-Programming-Python-Programming-for-Beginners-Python-Programming-for-Intermediates.pdf
│ │ ├── Python-Unlocked-Become-more-fluent-in-Python-learn-strategies-and-techniques-for-smart-and-high-performance-Python-programming.pdf
│ │ ├── python自动化运维.pdf
│ │ ├── Rakesh Vidya Chandra, Bala Subrahmanyam Varanasi-Python Requests Essentials-Packt Publishing - ebooks Account (2015).pdf
│ │ ├── Richard Lawson-Web Scraping with Python-Packt Publishing (2015).pdf
│ │ ├── Rob Miles - Begin to code with Python (2018, Microsoft).pdf
│ │ ├── Ryan Mitchell-Web Scraping with Python_ Collecting Data from the Modern Web-O'Reilly Media (2015).pdf
│ │ ├── Ryan Mitchell - Web Scraping with Python_ Collecting More Data from the Modern Web (2018, O’Reilly Media).pdf
│ │ ├── Satya Avasarala-Selenium WebDriver Practical Guide-Packt Publishing (2014).pdf
│ │ ├── Steven F. Lott-Mastering Object-oriented Python-Packt Publishing (2014).pdf
│ │ ├── Svein Linge, Hans Petter Langtangen-Programming for Computations – Python. A Gentle Introduction to Numerical Simulations with Python-Springer (2016).pdf
│ │ ├── The Code Academy-Python Programming_ An In-Depth Guide Into The Essentials Of Python Programming-CreateSpace Independent Publishing Platform (2017).pdf
│ │ ├── The-Hacker-s-Guide-to-Python.pdf
│ │ ├── (The Pragmatic Programmers) Dmitry Zinoviev-Data Science Essentials in Python_ Collect - Organize - Explore - Predict - Value-Pragmatic Bookshelf (2016).pdf
│ │ ├── T.R. Padmanabhan-Programming with Python-Springer (2017).pdf
│ │ ├── (Undergraduate Topics in Computer Science) Laura Igual, Santi Segu-Introduction to Data Science. A Python Approach to Concepts, Techniques and Applications-Springer (2017).pdf
│ │ ├── Unmesh Gundecha-Learning Selenium Testing Tools with Python_ A practical guide on automated web testing with Selenium using Python-Packt Publishing (2014).pdf
│ │ ├── Unmesh Gundecha Learning Selenium Testing Tools with Python A practical guide on automated web testing with Selenium using Python.pdf
│ │ ├── Unmesh Gundecha-Learning Selenium Testing Tools with Python-Packt Publishing (2014).pdf
│ │ ├── Vineeth G. Nair-Getting Started with Beautiful Soup_ Build your own web scraper and learn all about web scraping with Beautiful Soup-Packt Publishing (2014).pdf
│ │ ├── Violent Python.pdf
│ │ ├── Web Scraping with Python Collecting Data from the Modern Web.pdf
│ │ ├── Web+Scraping+with+Python+Collecting+More+Data+from+the+Modern+Web+2nd+Edition+9781491985571.pdf
│ │ └── Wessel Badenhorst-Practical Python Design Patterns. Pythonic Solutions to Common Problems-Apress (2017).pdf
│ ├── Quant
│ │ ├── (4-Volume Set) Rama Cont-Encyclopedia of Quantitative Finance-Wiley (2010).pdf
│ │ ├── Adam Ozanne (auth.)-Power and Neoclassical Economics_ A Return to Political Economy in the Teaching of Economics-Palgrave Macmillan UK (2016).pdf
│ │ ├── (Agora Series) Marc Lichtenfeld-Get Rich with Dividends_ A Proven System for Earning Double-Digit Returns-Wiley (2015).epub
│ │ ├── Algorithmic Trading and DMA.pdf
│ │ ├── Allen C. Benello, Michael van Biema, Tobias E. Carlisle Concentrated Investing Strategies of the World’s Greatest Concentrated Value Investors.pdf
│ │ ├── Alonso Peña-Advanced Quantitative Finance with C++-Packt Publishing (2014) (1).pdf
│ │ ├── Alonso Peña-Advanced Quantitative Finance with C++-Packt Publishing (2014).pdf
│ │ ├── Alonso Pena, Ph.D.-Advanced Quantitative Finance with C++_ Create and implement mathematical models in C++ using quantitative finance-Packt Publishing (2014).pdf
│ │ ├── Alpha101
│ │ ├── Andreas Binder, Michael Aichinger-A Workout in Computational Finance-Wiley (2013).pdf
│ │ ├── (Applied Quantitative Finance) Adil Reghai-Quantitative Finance_ Back to Basic Principles-Palgrave Macmillan (2015).pdf
│ │ ├── (Applied Quantitative Finance) Oliver Brockhaus-Equity Derivatives and Hybrids. Markets, Models and Methods-Palgrave Macmillan (2016).pdf
│ │ ├── (Applied Quantitative Finance series) Sergio Scandizzo (auth.)-The Validation of Risk Models_ A Handbook for Practitioners-Palgrave Macmillan UK (2016).pdf
│ │ ├── Applied Quantitative Methods for Trading and Investment.pdf
│ │ ├── Art Collins, Robert Pardo-Beating the Financial Futures Market_ Combining Small Biases into Powerful Money Making Strategies (Wiley Trading)-Wiley (2006).pdf
│ │ ├── (Atlantis Studies in Computational Finance and Financial Engineering 1) Argimiro Arratia (auth.)-Computational Finance_ An Introductory Course with R-Atlantis Press (2014).pdf
│ │ ├── Automated Trading with R.pdf
│ │ ├── (BestMasters) Markus Vollmer (auth.)-A Beta-return Efficient Portfolio Optimisation Following the CAPM_ An Analysis of International Markets and Sectors-Gabler Verlag (2015).pdf
│ │ ├── Bill Kraft-The Smart Investor's Money Machine_ Methods and Strategies to Create Regular Income (Wiley Trading) (2009).pdf
│ │ ├── (Chapman and Hall_CRC Financial Mathematics Series) Schlogl, Erik-Quantitative Finance _ An Object-Oriented Approach in C++-CRC Press (2013).pdf
│ │ ├── Charles M. Judd, Gary H. McClelland, Carey S. Ryan-Data Analysis_ A Model Comparison Approach To Regression, ANOVA, and Beyond-Routledge (2017).pdf
│ │ ├── Charlie Tian-Invest Like a Guru_ How to Generate Higher Returns At Reduced Risk With Value Investing-John Wiley & Sons Inc. (2017).epub
│ │ ├── Cliff Asness-Short Selling_ Strategies, Risks, and Rewards-Wiley (2004).pdf
│ │ ├── Commodities-and-Commodity-Derivatives-Modelling-and-Pricing-for-Agriculturals-Metals-and-Energy.pdf
│ │ ├── Consigli, Giorgio_ Stefani, Silvana_ Zambruno, Giovanni-Handbook of Recent Advances in Commodity and Financial Modeling_ Quantitative Methods in Banking, Finance, Insurance, Energy and Commodity Marke.pdf
│ │ ├── E. J. Stavetski-Managing Hedge Fund Managers_ Quantitative and Qualitative Performance Measures (Wiley Finance) (2009).pdf
│ │ ├── Empirical Market Microstructure.pdf
│ │ ├── Eugene F. Fama-Foundations of Finance_ Portfolio Decisions and Securities Prices 1976-06 (1976).pdf
│ │ ├── Financial Econometrics and Empirical Market Microstructure.pdf
│ │ ├── Financial Markets and Trading.pdf
│ │ ├── (Frank J. Fabozzi Series) Frank J. Fabozzi, Dessislava A. Pachamanova-Portfolio Construction and Analytics-Wiley (2016).pdf
│ │ ├── George Kleinman-Trading Commodities and Financial Futures - A Step-by-Step Guide to Mastering the Markets-FT Press (2013).epub
│ │ ├── (Global Financial Markets) Tom James (auth.)-Commodity Market Trading and Investment_ A Practitioners Guide to the Markets-Palgrave Macmillan UK (2016).pdf
│ │ ├── Greg N. Gregoriou, Razvan Pascalau-Financial Econometrics Modeling_ Market Microstructure, Factor Models and Financial Risk Measures-Palgrave Macmillan (2011).pdf
│ │ ├── Handbook of Recent Advances in Commodity and Financial Modeling_ Quantitative Methods in Banking, Finance, Insurance, Energy and Commodity Marke.pdf
│ │ ├── Harry Markowitz, Kenneth Blay-Risk-Return Analysis_ The Theory and Practice of Rational Investing (Volume One)-McGraw-Hill (2013).pdf
│ │ ├── High-Frequency Trading A Practical Guide to Algorithmic Strategies and Trading Systems.pdf
│ │ ├── Howard B. Bandy-Quantitative Trading Systems_ Practical Methods for Design, Testing, and Validation-Blue Owl Press (2007).pdf
│ │ ├── (Interdisciplinary Mathematical Sciences 14) Thomas Gerstner, Thomas Gerstner, Peter Kloede-Recent Developments in Computational Finance_ Foundations, Algorithms and Applications-World Scientific Publ.pdf
│ │ ├── (International Series in Operations Research &_ Management Science 245) Giorgio Consigli, Daniel Kuhn, Paolo Brandimarte (eds.)-Optimal Financial Decision Making under Uncertainty-Springer Internat.pdf
│ │ ├── (International Series in Operations Research & Management Science 163) William T. Ziemba, Leonard C. MacLean (auth.), Marida Bertocchi, Giorgio Consigli, Michael A. H. Dempster (eds.)-Stochastic Optim.pdf
│ │ ├── James A. Primbs-A Factor Model Approach to Derivative Pricing-Chapman and Hall_CRC (2016).pdf
│ │ ├── James A. Primbs-A Factor Model Approach to Derivative Pricing-CRC (2014).pdf
│ │ ├── Jeremy J. Siegel-Stocks for the Long Run_ The Definitive Guide to Financial Market Returns & Long-Term Investment Strategies-McGraw-Hill Education (2014).pdf
│ │ ├── Joel Greenblatt-The Little Book That Still Beats the Market (Little Books. Big Profits)-Wiley (2010).pdf
│ │ ├── Kenneth H. Shaleen-Technical Analysis & Options Strategies-Probus Professional Pub (1992).pdf
│ │ ├── Learning Quantitative Finance with R.pdf
│ │ ├── Learning Quantitative Finance with R.zip
│ │ ├── (Lecture Notes in Economics and Mathematical Systems 545) Dr. Reinhold Hafner (auth.)-Stochastic Implied Volatility_ A Factor-Based Model-Springer Berlin Heidelberg (2004).pdf
│ │ ├── (Lecture Notes in Economics and Mathematical Systems 660) Marcus Brandenburg (auth.)-Quantitative Models for Value-Based Supply Chain Management-Springer-Verlag Berlin Heidelberg (2013).pdf
│ │ ├── (Little Books. Big Profits) John C. Bogle-The Little Book of Common Sense Investing_ The Only Way to Guarantee Your Fair Share of Stock Market Returns-Wiley (2017).epub
│ │ ├── Luke L. Wiley, Wesley R. Gray The 52-Week Low Formula A Contrarian Strategy that Lowers Risk, Beats the Market, and Overcomes Human Emotion.epub
│ │ ├── [Madhavan_A.]_Market_microstructure_A_practitioner_guide.pdf
│ │ ├── (Methodology in the Social Sciences) Darlington, Richard B._ Hayes, Andrew F._ Little, Todd D-Regression Analysis and Linear Models_ Concepts, Applications, and Implementation-Guilford Publications_Th.pdf
│ │ ├── Michael C. I. Nwogugu (auth.)-Anomalies in Net Present Value, Returns and Polynomials, and Regret Theory in Decision-Making -Palgrave Macmillan UK (2016).pdf
│ │ ├── Michael Halls Moore-Advanced Algorithmic Trading (2017).pdf
│ │ ├── Models-Behaving-Badly.epub
│ │ ├── Models-Behaving-Badly-Why-Confusing-Illusion-with-Reality-Can-Lead-to-Disaster-on-Wall-Street-and-in-Life-.epub
│ │ ├── Momentum Trading
│ │ ├── (New Developments in Quantitative Trading and Investment) Christian L. Dunis, Peter W. Middleton, Andreas Karathanasopolous, Konstantinos Theofilatos (eds.)-Artificial Intelligence in Financial Market (1).pdf
│ │ ├── (New Developments in Quantitative Trading and Investment) Christian L. Dunis, Peter W. Middleton, Andreas Karathanasopolous, Konstantinos Theofilatos (eds.)-Artificial Intelligence in Financial Market.pdf
│ │ ├── (Optimization in insurance and finance set) Gushchin, Alexander A-Mathematical basis for finance _ Stochastic calculus for quantitative finance-ISTE Press Ltd _ Kidlington (2015).pdf
│ │ ├── Pairs Trading Quantitative Methods and Analysis.pdf
│ │ ├── Paul Wilmott-Frequently asked questions in quantitative finance_ including key models, important formul, popular contracts, essays and opinions, a history of quantitative finance, sundry lists, the co.pdf
│ │ ├── Pawel Lachowicz-Python for Quants. 1-QuantAtRisk (2015).pdf
│ │ ├── Piotr Staszkiewicz, Lucia Staszkiewicz-Finance_ A Quantitative Introduction-Academic Press (2014).pdf
│ │ ├── Quantitative Analysis of Market Data.pdf
│ │ ├── (Quantitative Finance) Alan Scowcroft, Stephen Satchell-Advances in Portfolio Construction and Implementation-Butterworth-Heinemann (2003).pdf
│ │ ├── (Quantitative Finance) George Levy-Computational Finance Using C and C_. Derivatives and Valuation-Academic Press (2016) (1).pdf
│ │ ├── (Quantitative Finance) George Levy-Computational Finance Using C and C_. Derivatives and Valuation-Academic Press (2016).pdf
│ │ ├── (Quantitative Finance) John Knight, Stephen Satchell-Linear factor models in finance-Butterworth-Heinemann (2005).pdf
│ │ ├── (Quantitative finance series) Stephen Satchell-Forecasting Expected Returns in the Financial Markets-Academic Press (2007).pdf
│ │ ├── Quantitative Investment Analysis.pdf
│ │ ├── Quantitative Investment Analysis, Workbook.pdf
│ │ ├── Quantitative Methods for Investment Analysis.pdf
│ │ ├── (Quantitative Perspectives on Behavioral Economics and Finance) James Ming Chen (auth.)-Finance and the Behavioral Prospect_ Risk, Exuberance, and Abnormal Markets-Palgrave Macmillan (2016).pdf
│ │ ├── (Quantitative Perspectives on Behavioral Economics and Finance) James Ming Chen (auth.)-Postmodern Portfolio Theory_ Navigating Abnormal Markets and Investor Behavior-Palgrave Macmillan US (2016) (1).pdf
│ │ ├── (Quantitative Perspectives on Behavioral Economics and Finance) James Ming Chen (auth.)-Postmodern Portfolio Theory_ Navigating Abnormal Markets and Investor Behavior-Palgrave Macmillan US (2016).pdf
│ │ ├── Robert Kissell and Jim Poserina (Auth.)-Optimal Sports Math, Statistics, and Fantasy- Academic Press (2017).pdf
│ │ ├── Robert Kissell (Auth.)-The Science of Algorithmic Trading and Portfolio Management-Academic Press (2013) (1).pdf
│ │ ├── Robert Kissell (Auth.)-The Science of Algorithmic Trading and Portfolio Management-Academic Press (2013).pdf
│ │ ├── Robert R. Reitano-Introduction to Quantitative Finance_ A Math Tool Kit-The MIT Press (2010).pdf
│ │ ├── Ronald Christensen-Analysis of Variance Design and Regression Linear Modeling for Unbalanced Data-CRC (2017).pdf
│ │ ├── (Routledge Advances in Experimental and Computable Economics) Christian Dunis, Spiros Likothanassis, Andreas Karathanasopoulos, Georgios Sermpinis, Konstantinos Theofilatos-Computational Intelligence .pdf
│ │ ├── Serges Darolles, Patrick Duvaut, Emmanuelle Jay-Multi-factor Models and Signal Processing Techniques_ Application to Quantitative Finance-Wiley-ISTE (2013).pdf
│ │ ├── (SpringerBriefs in Mathematics) Anatoliy Swishchuk (auth.)-Change of Time Methods in Quantitative Finance-Springer International Publishing (2016).pdf
│ │ ├── (SpringerBriefs in Quantitative Finance) Maria Elvira Mancino, Maria Cristina Recchioni, Simona Sanfelici (auth.)-Fourier-Malliavin Volatility Estimation_ Theory and Practice-Springer International Pu.pdf
│ │ ├── (SpringerBriefs in Quantitative Finance) Tim Leung, Marco Santoli (auth.)-Leveraged Exchange-Traded Funds_ Price Dynamics and Options Valuation-Springer International Publishing (2016).pdf
│ │ ├── (Springer Finance) Gianluca Fusai, Andrea Roncoroni-Implementing models in quantitative finance_ methods and cases-Springer (2008).pdf
│ │ ├── (Springer Finance) Norbert Hilber, Oleg Reichmann, Christoph Schwab, Christoph Winter-Computational Methods for Quantitative Finance_ Finite Element Methods for Derivative Pricing-Springer (2013).pdf
│ │ ├── (Springer Handbooks of Computational Statistics) Jin-Chuan Duan, James E. Gentle, Wolfgang Karl Härdle (auth.), Jin-Chuan Duan, Wolfgang Karl Härdle, James E. Gentle (eds.)-Handbook of Computational F.pdf
│ │ ├── (Springer Texts in Business and Economics) Wolfgang Marty (auth.)-Portfolio Analytics_ An Introduction to Return and Risk Measurement-Springer International Publishing (2015).pdf
│ │ ├── (Statistics and computing) Chen, Cathy Yi-Hsuan_ Härdle, Wolfgang_ Overbeck, Ludger-Applied quantitative finance-Springer (2017) (1).pdf
│ │ ├── (Statistics and computing) Chen, Cathy Yi-Hsuan_ Härdle, Wolfgang_ Overbeck, Ludger-Applied quantitative finance-Springer (2017) (2).pdf
│ │ ├── (Statistics and computing) Chen, Cathy Yi-Hsuan_ Härdle, Wolfgang_ Overbeck, Ludger-Applied quantitative finance-Springer (2017) (3).pdf
│ │ ├── (Statistics and computing) Chen, Cathy Yi-Hsuan_ Härdle, Wolfgang_ Overbeck, Ludger-Applied quantitative finance-Springer (2017).pdf
│ │ ├── Statistics and Data Analysis for Financial Engineering
│ │ ├── Statistics and Data Analysis for Financial Engineering.pdf
│ │ ├── Statistics and Finance An Introduction.pdf
│ │ ├── Stephen Satchell (eds.)-Asset Management_ Portfolio Construction, Performance and Returns-Palgrave Macmillan (2016).pdf
│ │ ├── Steve Bell-Quantitative Finance For Dummies-For Dummies (2016).pdf
│ │ ├── SystematicTrading
│ │ ├── Tadas Viskanta-Abnormal Returns_ Winning Strategies from the Frontlines of the Investment Blogosphere-McGraw-Hill (2012).epub
│ │ ├── The art and science of technical analysis.pdf
│ │ ├── The-microstructure-approach-to-exchange-rates.pdf
│ │ ├── (The Wiley Finance Series) Christian L. Dunis, Jason Laws, Patrick Naïm-Applied quantitative methods for trading and investment-Wiley (2009).pdf
│ │ ├── (The Wiley Finance Series) Paul Darbyshire, David Hampton-Hedge Fund Modelling and Analysis An Object Oriented Approach Using C++-Wiley (2016).pdf
│ │ ├── Tobias E. Carlisle Deep Value Why Activist Investors and Other Contrarians Battle for Control of Losing Corporations.pdf
│ │ ├── Trading and Exchanges Market Microstructure for Practitioners .pdf
│ │ ├── Trading-Volatility-Trading-Volatility-Correlation-Term-Structure-and-Skew.pdf
│ │ ├── Van K Tharp-Trade Your Way to Financial Freedom-McGraw-Hill Companies (2006).pdf
│ │ ├── Van Tharp-Super Trader. Make Consistent Profits in Good and Bad Markets-McGraw-Hill (2009).pdf
│ │ ├── Van Tharp-Trading Beyond the Matrix_ The Red Pill for Traders and Investors-Wiley (2013).epub
│ │ ├── Volatility-Trading-Second-Edition.pdf
│ │ ├── (Wiley finance series 702) Stephen D. Hassett-The Risk Premium Factor, + Website_ A New Model for Understanding the Volatile Forces that Drive Stock Prices-John Wiley & Sons (2011).pdf
│ │ ├── (Wiley Finance) Wesley Gray, Tobias Carlisle-Quantitative Value_ A Practitioner's Guide to Automating Intelligent Investment and Eliminating Behavioral Errors-Wiley (2012).epub
│ │ ├── (Wiley Finance) Wesley R. Gray, Jack R. Vogel-Quantitative Momentum_ A Practitioner’s Guide to Building a Momentum-Based Stock Selection System-Wiley (2016).pdf
│ │ ├── (Wiley Series in Computational Statistics) Jussi Klemelä-Multivariate Nonparametric Regression and Visualization_ With R and Applications to Finance-Wiley-Interscience (2014).pdf
│ │ ├── (Wiley Series in Probability and Statistics) David J. Bartholomew, Martin Knott, Irini Moustaki-Latent Variable Models and Factor Analysis_ A Unified Approach-Wiley (2011).pdf
│ │ ├── (Wiley Trading) Bill Kraft-Trade Your Way to Wealth_ Earn Big Profits with No-Risk, Low-Risk, and Measured-Risk Strategies-Wiley (2008).pdf
│ │ ├── (Wiley Trading) Ernest P. Chan-Machine Trading_ Deploying Computer Algorithms to Conquer the Markets-Wiley (2017)_backup.pdf
│ │ ├── (Wiley Trading) Ernest P. Chan-Machine Trading_ Deploying Computer Algorithms to Conquer the Markets-Wiley (2017).pdf
│ │ ├── (Wiley Trading) Ernie Chan-Algorithmic Trading_ Winning Strategies and Their Rationale-Wiley (2013).pdf
│ │ └── (Wiley Trading) Michael C. Khouw, Mark W. Guthner-The Options Edge_ An Intuitive Approach to Generating Consistent Profits for the Novice to the Experienced Practitioner-Wiley (2016).pdf
│ ├── R
│ │ ├── 993C9914-4C50-4402-BAFB-36D1B20F9554 (1).pdf
│ │ ├── 993C9914-4C50-4402-BAFB-36D1B20F9554.pdf
│ │ ├── Beginning-Data-Science-in-R-Data-Analysis-Visualization-and-Modelling-for-the-Data-Scientist.pdf
│ │ ├── [Chapman & Hall_CRC The R Series] Deborah Nolan, Duncan Temple Lang - Data Science in R_ A Case Studies Approach to Computational Reasoning and Problem Solving (2015, Chapman and Hall_CRC).pdf
│ │ ├── Chris Beeley-Web Application Development with R Using Shiny-Packt Publishing (2013).pdf
│ │ ├── Christian Heumann, Michael Schomaker Shalabh - Introduction to Statistics and Data Analysis with Exercises, Solutions and Applications in R (2017, Springer).pdf
│ │ ├── Data Analysis with R.pdf
│ │ ├── efficient-master.zip
│ │ ├── Efficient_R_Programming_A_Practical_Guide_to_Smarter_Programming.pdf
│ │ ├── Efficient R Programming.pdf
│ │ ├── Extending-R.pdf
│ │ ├── [Hadley_Wickham_(auth.)]_ggplot2_Elegant_Graphics(b-ok.org).pdf
│ │ ├── Hadley Wickham, Garrett Grolemund-R for Data Science_ Import, Tidy, Transform, Visualize, and Model Data-O’Reilly Media (2017).pdf
│ │ ├── Hongshik Ahn - Probability and Statistics for Science and Engineering with Examples in R (2018, Cognella).pdf
│ │ ├── Julian J. Faraway-Extending the Linear Model with R. Generalized Linear, Mixed Effects and Nonparametric Regression Models-CRC (2017).pdf
│ │ ├── Laura M. Chihara, Tim C. Hesterberg - Mathematical Statistics with Resampling and R (2018, Wiley).pdf
│ │ ├── Learning_R_Programming_－_Become_an_efficient_data_scientist_with_R.pdf
│ │ ├── Mastering-Predictive-Analytics-with-R.pdf
│ │ ├── Max Kuhn, Kjell Johnson-Applied Predictive Modeling-Springer (2013).pdf
│ │ ├── [Monographs on statistics and applied probability (Series) 159.] Tian, Xin_ Wu, Colin O. - Nonparametric Models for Longitudinal Data _ With Implementation in R (2018, CRC Press).pdf
│ │ ├── N.D Lewis-Deep Learning Made Easy with R_ A Gentle Introduction For Data Science-CreateSpace Independent Publishing Platform (2016).pdf
│ │ ├── Raja B. Koushik, Sharan Kumar Ravindran-R Data Science Essentials-Packt (2016).pdf
│ │ ├── R-Data-Structures-and-Algorithms.pdf
│ │ ├── R Data Structures and Algorithms.zip
│ │ ├── R_Projects_For_Dummies.pdf
│ │ ├── Shuichi Ohsaki, Jori Ruppert-Felsot, Daisuke Yoshikawa - R Programming and Its Applications in Financial Mathematics (2018, CRC Press).pdf
│ │ ├── Simon Munzert, Christian Rubba, Peter Meißner, Dominic Nyhuis-Automated Data Collection with R_ A Practical Guide to Web Scraping and Text Mining-Wiley (2015).pdf
│ │ ├── [Springer Texts in Statistics] Robert H. Shumway, David S. Stoffer (auth.) - Time Series Analysis and Its Applications_ With R Examples (2017, Springer International Publishing).pdf
│ │ ├── Thomas Mailund (auth.)-Advanced Object-Oriented Programming in R_ Statistical Programming for Data Science, Analysis and Finance-Apress (2017).pdf
│ │ ├── Thomas Mailund (auth.)-Metaprogramming in R_ Advanced Statistical Programming for Data Science, Analysis and Finance-Apress (2017).pdf
│ │ ├── Thomas Mailund-Beginning Data Science in R_ Data Analysis, Visualization, and Modelling for the Data Scientist-Apress (2017).pdf
│ │ ├── Thomas Mailund-Functional Programming in R. Advanced Statistical Programming for Data Science, Analysis and Finance-Apress (2017).pdf
│ │ ├── Tony Fischetti-Data Analysis with R_ Load, wrangle, and analyze your data using the world's most powerful statistical programming language-Packt Publishing (2015).pdf
│ │ ├── (Use R! 65) Eric D. Kolaczyk, Gábor Csárdi (auth.)-Statistical Analysis of Network Data with R-Springer-Verlag New York (2014).pdf
│ │ └── [Use R!] Deborah Nolan, Duncan Temple Lang (auth.) - XML and Web Technologies for Data Sciences with R (2014, Springer-Verlag New York).pdf
│ ├── Social
│ │ └── 万历十五年.mobi
│ ├── Social_Science
│ │ ├── Alan Grafen, Mark Ridley-Richard Dawkins - How a Scientist Changed the Way We Think-Oxford University Press, USA (2007).pdf
│ │ ├── Jerry A. Coyne-Why Evolution Is True-Oxford University Press (2009).pdf
│ │ ├── Richard Dawkins-The Extended Phenotype_ The Long Reach of the Gene-Oxford University Press (1999).mobi
│ │ ├── Richard Dawkins-The Greatest Show on Earth_ The Evidence for Evolution -Free Press (2009).mobi
│ │ └── Richard Dawkins-上帝的迷思-Hainan Publishing House (2006).pdf
│ ├── Stat
│ │ ├── (Academic Press Advanced Finance) Laurent E. Calvet, Adlai J. Fisher-Multifractal Volatility..Theory, Forecasting, and Pricing-Academic Press (2008).pdf
│ │ ├── Advanced Linear Modeling.pdf
│ │ ├── (Advances in Intelligent and Soft Computing 77) Danilo Abbate, Roberta De Asmundis (auth.), Christian Borgelt, Gil González-Rodríguez, Wolfgang Trutschnig, María Asunción Lubiano, María Ángeles Gil, P.pdf
│ │ ├── All Figures.zip
│ │ ├── All Labs.txt
│ │ ├── Andrea Ceron, Luigi Curini, Stefano Maria Iacus-Politics and Big Data_ Nowcasting and Forecasting Elections with Social Media-Routledge (2017).pdf
│ │ ├── Andrew Gelman, Jennifer Hill-Data Analysis Using Regression and Multilevel_Hierarchical Models-Cambridge University Press (2007).pdf
│ │ ├── Andrew Gelman, Jeronimo Cortina-A Quantitative Tour of the Social Sciences (2009).pdf
│ │ ├── An Elementary Introduction to Statistical Learning Theory.pdf
│ │ ├── An Introduction to Statistical Learning.pdf
│ │ ├── An Introduction to Statistical Learning with Applications in R.pdf
│ │ ├── Applying Regression and Correlation.pdf
│ │ ├── Ben Klemens - Modeling with data_ tools and techniques for scientific computing (2009, Princeton University Press).pdf
│ │ ├── (Bloomberg) Niklas Hageback-The Mystery of Market Movements_ An Archetypal Approach to Investment Forecasting and Modelling-Wiley (2014).epub
│ │ ├── (Book Only) Francis X. Diebold-Elements of Forecasting-Cengage Learning (2006).pdf
│ │ ├── Causal-Inference-in-Statistics-A-Primer.pdf
│ │ ├── (Chapman & Hall_CRC Texts in Statistical Science) Norman Matloff-Statistical Regression and Classification_ From Linear Models to Machine Learning-Chapman and Hall_CRC (2017).pdf
│ │ ├── [Chapman & Hall_CRC Texts in Statistical Science] Richard McElreath - Statistical Rethinking_ A Bayesian Course with Examples in R and Stan (2015, Chapman and Hall_CRC).pdf
│ │ ├── (Chapman & Hall_CRC the R series (CRC Press)) Eubank, Randall L._ Kupresanin, Ana-Statistical computing in C++ and R-CRC Press (2011).pdf
│ │ ├── (Computer Science and Scientific Computing Series) Keinosuke Fukunaga-Introduction to Statistical Pattern Recognition-Academic Press (1990).pdf
│ │ ├── (Contributions to statistics) Pomares, Héctor_ Rojas, Ignacio_ Valenzuela, Olga-Advances in time series analysis and forecasting _ selected contributions from ITISE 2016-Springer (2017).pdf
│ │ ├── David J. Olive-Linear Regression-Springer (2017).pdf
│ │ ├── David M Diez, Christopher D Barr, Mine Çetinkaya-Rundel - OpenIntro Statistics (2015, OpenIntro, Inc.).pdf
│ │ ├── Deborah Nolan, Terry P. Speed - Stat Labs Mathematical Statistics Through Applications (2001, Springer).pdf
│ │ ├── (Economics collection) Vu, Tam Bang-Seeing the future _ how to build basic forecasting models-Business Expert Press (2015).pdf
│ │ ├── Elements of Statistics for the Life and Social Sciences.pdf
│ │ ├── (Financial accounting and auditing collection) Bettner, Mark S-Using accounting & financial information _ analyzing, forecasting & decision making-Business Expert Press (2015).pdf
│ │ ├── Foundations of Statistical Algorithms.pdf
│ │ ├── Franses P.H., Dijk D.v., Opschoor A.-Time Series Models for Business and Economic Forecasting-CUP (2014).pdf
│ │ ├── (Frontiers in Probability and the Statistical Sciences) Dimitris N. Politis (auth.)-Model-Free Prediction and Regression_ A Transformation-Based Approach to Inference-Springer International Publishing.pdf
│ │ ├── (Graduate Texts in Physics) Massimiliano Bonamente (auth.)-Statistics and Analysis of Scientific Data-Springer-Verlag New York (2017).pdf
│ │ ├── Graham Elliott, Allan Timmermann-Economic Forecasting-Princeton University Press (2016).pdf
│ │ ├── Holger Kömm (auth.)-Forecasting High-Frequency Volatility Shocks_ An Analytical Real-Time Monitoring System-Gabler Verlag (2016).pdf
│ │ ├── Introduction-to-Linear-Regression-Analysis.pdf
│ │ ├── Introduction to Statistical Machine Learning.pdf
│ │ ├── Jan G. De Gooijer-Elements of Nonlinear Time Series Analysis and Forecasting-Springer (2017).pdf
│ │ ├── John B. Guerard, Jr. (auth.)-Introduction to Financial Forecasting in Investment Analysis-Springer-Verlag New York (2013).pdf
│ │ ├── John Pirc, David DeSanto, Iain Davison, Will Gragido-Threat Forecasting. Leveraging Big Data for Predictive Analysis-Syngress (2016).pdf
│ │ ├── Joseph M. Hilbe-Practical guide to logistic regression-Taylor & Francis (2016).pdf
│ │ ├── Judea Pearl - Causality_ Models, Reasoning and Inference (2009, Cambridge University Press).pdf
│ │ ├── Judea Pearl, Madelyn Glymour, Nicholas P. Jewell - Causal Inference in Statistics_ A Primer (2016, Wiley).pdf.crdownload
│ │ ├── Julian J. Faraway-Extending the Linear Model with R. Generalized Linear, Mixed Effects and Nonparametric Regression Models-CRC (2017).pdf
│ │ ├── Koning, Jan de_ Vliet, Pim van-High returns from low risk_ a remarkable stock market paradox-Wiley (2017).pdf
│ │ ├── Large-Scale-Inference-Empirical-Bayes-Methods-for-Estimation-Testing-and-Prediction.pdf
│ │ ├── (Lecture Notes in Control and Information Sciences 442) Xiaolian Zheng, Ben M. Chen (auth.)-Stock Market Modeling and Forecasting_ A System Adaptation Approach-Springer-Verlag London (2013).pdf
│ │ ├── (Lecture Notes in Economics and Mathematical Systems 623) Christian Ullrich (auth.)-Forecasting and Hedging in the Foreign Exchange Markets-Springer-Verlag Berlin Heidelberg (2009).pdf
│ │ ├── (Lecture Notes in Statistics 217) Anestis Antoniadis, Jean-Michel Poggi, Xavier Brossat (eds.)-Modeling and Stochastic Learning for Forecasting in High Dimensions-Springer International Publishing (20.pdf
│ │ ├── Maria L. Rizzo-Statistical computing with R. 1-Chapman & Hall _ CRC (2007).pdf
│ │ ├── Massaron, Luca & Boschetti, Alberto [Massaron, Luca]-Regression Analysis with Python-Packt Publishing (2016).pdf
│ │ ├── (Methodology in the Social Sciences) Darlington, Richard B._ Hayes, Andrew F._ Little, Todd D-Regression Analysis and Linear Models_ Concepts, Applications, and Implementation-Guilford Publications_Th.pdf
│ │ ├── (Methodology in the Social Sciences) Richard B. Darlington PhD, Andrew F. Hayes PhD-Regression Analysis and Linear Models_ Concepts, Applications, and Implementation-The Guilford Press (2016).pdf
│ │ ├── N D Lewis-Deep Time Series Forecasting with Python_ An Intuitive Introduction to Deep Learning for Applied Time Series Modeling-CreateSpace Independent Publishing Platform (2016).pdf
│ │ ├── N.D. Lewis-Neural Networks for Time Series Forecasting with R-N.D. Lewis (2017).pdf
│ │ ├── Pearl, Judea_ Mackenzie, Dana - The Book of Why_ The New Science of Cause and Effect (2018, Basic Books).epub (1).crdownload
│ │ ├── Pearl, Judea_ Mackenzie, Dana - The Book of Why_ The New Science of Cause and Effect (2018, Basic Books).epub (2).crdownload
│ │ ├── Pearl, Judea_ Mackenzie, Dana - The Book of Why_ The New Science of Cause and Effect (2018, Basic Books).epub (3).crdownload
│ │ ├── Pearl, Judea_ Mackenzie, Dana - The Book of Why_ The New Science of Cause and Effect (2018, Basic Books).epub.crdownload
│ │ ├── Philip Campbell, Steve Player-A Quick Start Guide to Financial Forecasting_ Discover the Secret to Driving Growth, Profitability, and Cash Flow Higher-Grow & Succeed Publishing Llc (2017).epub
│ │ ├── Plane Answers to Complex Questions The Theory of Linear Models.pdf
│ │ ├── Rachel A. Gordon-Regression Analysis for the Social Sciences-Routledge (2015).pdf
│ │ ├── Raghu Raj Bahadur, Stephen M. Stigler, Wing Hung Wong, Daming Xu - R.R. Bahadur's lectures on the theory of estimation (2002, IMS).pdf
│ │ ├── Roberto S. Mariano-Econometric Forecasting And High-Frequency Data Analysis (Lecture Notes Seres, Institute for Mathematical Sciences National University of Singapore) (2008).pdf
│ │ ├── Solutions-Manual-to-Accompany-Introduction-to-Linear-Regression-Analysis.pdf
│ │ ├── (SpringerBriefs in Statistics) Puntanen Simo, Styan George P. H., Isotalo Jarkko (auth.)-Formulas Useful for Linear Regression Analysis and Related Matrix Theory_ It's Only Formulas But We Like Them-S.pdf
│ │ ├── (Springer Series in Statistics) Frank E. Harrell , Jr. (auth.)-Regression Modeling Strategies_ With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis-Springer Inter.pdf
│ │ ├── (Springer series in statistics) Rob J. Hyndman ... [et al.]-Forecasting with exponential smoothing _ the state space approach-Springer (2008).pdf
│ │ ├── (Springer Texts in Statistics) Anirban DasGupta (auth.)-Probability for Statistics and Machine Learning_ Fundamentals and Advanced Topics-Springer-Verlag New York (2011).pdf
│ │ ├── (Springer Texts in Statistics) Dennis D. Boos, L A Stefanski-Essential Statistical Inference_ Theory and Methods-Springer (2013).pdf
│ │ ├── (Springer Texts in Statistics) James E. Gentle (auth.)- Matrix Algebra_ Theory, Computations and Applications in Statistics-Springer International Publishing (2017).pdf
│ │ ├── (Springer Texts in Statistics) Matthew A. Carlton, Jay L. Devore (auth.)-Probability with Applications in Engineering, Science, and Technology-Springer International Publishing (2017).pdf
│ │ ├── (Springer Texts in Statistics) Peter J. Brockwell, Richard A. Davis (auth.)-Introduction to Time Series and Forecasting-Springer International Publishing (2016).pdf
│ │ ├── (Springer Texts in Statistics) Rabi Bhattacharya, Lizhen Lin, Victor Patrangenaru (auth.)-A Course in Mathematical Statistics and Large Sample Theory-Springer-Verlag New York (2016).pdf
│ │ ├── (Springer Texts in Statistics) Richard A. Berk (auth.)-Statistical Learning from a Regression Perspective-Springer International Publishing (2016).pdf
│ │ ├── (Springer Texts in Statistics) Richard Durrett-Essentials of Stochastic Processes-Springer (2016).pdf
│ │ ├── (Springer Texts in Statistics) Robert H. Shumway, David S. Stoffer (auth.)-Time Series Analysis and Its Applications_ With R Examples-Springer International Publishing (2017) (1).pdf
│ │ ├── (Springer Texts in Statistics) Robert H. Shumway, David S. Stoffer (auth.)-Time Series Analysis and Its Applications_ With R Examples-Springer International Publishing (2017).pdf
│ │ ├── (Springer texts in statistics) Shorack, Galen R-Probability for statisticians-Springer (2017).pdf
│ │ ├── (Springer Texts in Statistics) Vladimir Spokoiny, Thorsten Dickhaus (auth.)-Basics of Modern Mathematical Statistics-Springer-Verlag Berlin Heidelberg (2015).pdf
│ │ ├── Statistical Analysis and Data Display.pdf
│ │ ├── Statistical_Learning
│ │ ├── (Statistics and Computing) Graham Wills (auth.)-Visualizing Time_ Designing Graphical Representations for Statistical Data -Springer-Verlag New York (2012).pdf
│ │ ├── (Statistics for Biology and Health) George J. Knafl, Kai Ding (auth.)-Adaptive Regression for Modeling Nonlinear Relationships-Springer International Publishing (2016).pdf
│ │ ├── Statistics_for_Finance.pdf
│ │ ├── Stavros Degiannakis, Christos Floros (auth.)-Modelling and Forecasting High Frequency Financial Data-Palgrave Macmillan UK (2015).pdf
│ │ ├── Stephen M. Stigler - Statistics on the Table (1999, Harvard University Press).djvu
│ │ ├── Stephen M. Stigler - The history of statistics_ the measurement of uncertainty before 1900 (1986, Belknap Press).djvu
│ │ ├── Stephen M. Stigler - The Seven Pillars of Statistical Wisdom (2016, Harvard University Press).epub
│ │ ├── (Studies in Fuzziness and Soft Computing 330) Pritpal Singh (auth.)-Applications of Soft Computing in Time Series Forecasting_ Simulation and Modeling Techniques-Springer International Publishing (201 (1).pdf
│ │ ├── (Studies in Fuzziness and Soft Computing 330) Pritpal Singh (auth.)-Applications of Soft Computing in Time Series Forecasting_ Simulation and Modeling Techniques-Springer International Publishing (201.pdf
│ │ ├── (The Wiley Finance Series) Michael Samonas-Financial Forecasting, Analysis and Modelling_ A Framework for Long-Term Forecasting-Wiley (2015).pdf
│ │ ├── (The Wiley Finance Series) Timothy Jury-Cash Flow Analysis and Forecasting_ The Definitive Guide to Understanding and Using Published Cash Flow Data-Wiley (2012).pdf
│ │ ├── Timothy Z. Keith-Multiple Regression and Beyond_ An Introduction to Multiple Regression and Structural Equation Modeling-Routledge (2015).pdf
│ │ ├── (Volkswirtschaftliche Analysen, Bd. 19) Tina Loll-Forecasting economic time series using locally stationary processes _ a new approach with applications-Peter Lang (2012).pdf
│ │ ├── (Wiley Series in Computational Statistics) Faming Liang, Chuanhai Liu, Raymond Carroll-Advanced Markov chain Monte Carlo methods-Wiley (2010).pdf
│ │ ├── (Wiley Series in Computational Statistics) Jochen Voss-An Introduction to Statistical Computing_ A Simulation-based Approach-Wiley (2013).pdf
│ │ ├── (Wiley Series in Computational Statistics) Jussi Klemelä-Multivariate Nonparametric Regression and Visualization_ With R and Applications to Finance-Wiley-Interscience (2014).pdf
│ │ ├── (Wiley Series in Computational Statistics) Stéphane Tufféry-Data Mining and Statistics for Decision Making-Wiley (2011).pdf
│ │ ├── (Wiley Series in Probability and Statistics) Douglas C. Montgomery, Cheryl L. Jennings, Murat Kulahci-Introduction to Time Series Analysis and Forecasting-Wiley (2015).pdf
│ │ ├── (Wiley Series in Probability and Statistics) Etienne de Rocquigny(auth.), Walter A. Shewhart, Samuel S. Wilks(eds.)-Modelling Under Risk and Uncertainty_ An Introduction to Statistical, Phenomenologic (1).pdf
│ │ ├── (Wiley Series in Probability and Statistics) Etienne de Rocquigny(auth.), Walter A. Shewhart, Samuel S. Wilks(eds.)-Modelling Under Risk and Uncertainty_ An Introduction to Statistical, Phenomenologic.pdf
│ │ └── (Wiley Series in Probability and Statistics) George E. P. Box, Gwilym M. Jenkins, Gregory C. Reinsel, Greta M. Ljung-Time Series Analysis_ Forecasting and Control-Wiley (2015).pdf
│ ├── Tech
│ │ ├── (Advances in Intelligent Systems and Computing 456) Maria Brigida Ferraro, Paolo Giordani, Barbara Vantaggi, Marek Gagolewski, María Ángeles Gil, Przemysław Grzegorzewski, Olgierd Hryniewicz (eds.)-So.pdf
│ │ ├── Max Tegmark-Life 3.0_ Being Human in the Age of Artificial Intelligence-Alfred A. Knopf (2017).epub
│ │ └── Max Tegmark-Our Mathematical Universe_ My Quest for the Ultimate Nature of Reality-Knopf (2014).epub
│ ├── Trading
│ │ ├── Emilio Tomasini, Urban Jaekle-Trading Systems_ A New Approach to System Optimisation and Portfolio Construction-Harriman House (2009).pdf
│ │ ├── Gary Dayton-Trade Mindfully_ Achieve Your Optimum Trading Performance with Mindfulness and _Cutting Edge_ Psychology-Wiley (2014).pdf
│ │ ├── Howard B. Bandy-Quantitative Trading Systems_ Practical Methods for Design, Testing, and Validation-Blue Owl Press (2007).pdf
│ │ ├── Keith Fitschen(auth.)-Building Reliable Trading Systems_ Tradable Strategies That Perform as They Backtest and Meet Your Risk-Reward Goals-Wiley (2013).pdf
│ │ ├── Maybury, Matthew-Day Trading_ A Beginner's Guide To Day Trading_ Learn The Day Trading Basics To Building Riches (2016).epub
│ │ ├── (Quantitative Finance) Emmanual Acar, Stephen Satchell-Advanced Trading Rules-Butterworth-Heinemann (2002).pdf
│ │ ├── Robert Kissell, Morton Glantz-Optimal trading strategies_ quantitative approaches for managing market impact and trading risk-AMACOM (2003).djvu
│ │ ├── (Routledge Advances in Experimental and Computable Economics) Christian Dunis, Spiros Likothanassis, Andreas Karathanasopoulos, Georgios Sermpinis, Konstantinos Theofilatos-Computational Intelligence .pdf
│ │ ├── (Wiley Trading, 80) Greg Capra-Intra-Day Trading Tactics_ Pristine.com’s Stategies for Seizing Short-Term Opportunities-Wiley (2007).pdf
│ │ ├── (Wiley Trading) Harry Boxer-Profitable Day and Swing Trading_ Using Price_Volume Surges and Pattern Recognition to Catch Big Moves in the Stock Market-Wiley (2014).mobi
│ │ ├── (Wiley Trading) Kathy Lien-Day Trading and Swing Trading the Currency Market_ Technical and Fundamental Strategies to Profit from Market Moves-Wiley (2015).pdf
│ │ ├── (Wiley Trading) Michael Harris-Profitability and Systematic Trading_ A Quantitative Approach to Profitability, Risk, and Money Management -Wiley (2008).pdf
│ │ ├── (Wiley Trading) Perry J. Kaufman-Trading Systems and Methods, + Website-Wiley (2013).pdf
│ │ ├── (Wiley Trading) Robert Pardo-The Evaluation and Optimization of Trading Strategies-Wiley (2008).pdf
│ │ ├── (Wiley trading series) Kathy Lien-Day trading the currency market _ technical and fundamental strategies to profit from market swings-John Wiley & Sons (2006).pdf
│ │ ├── (Wiley Trading Series) Kevin J. Davey-Building Winning Algorithmic Trading Systems_ A Trader's Journey from Data Mining to Monte Carlo Simulation to Live Trading-Wiley (2014).pdf
│ │ ├── (Wiley Trading) Thomas L. Busby, Patsy Busby Dow-Winning the Day Trading Game_ Lessons and Techniques from a Lifetime of Trading-Wiley (2005).pdf
│ │ ├── (Wiley Trading) Thomas L. Busby, Patsy Busby Dow-Winning the Day Trading Game_ Lessons and Techniques from a Lifetime of Trading-Wiley (2005).pdf.crdownload
│ │ ├── (Wiley trading) Thomas N. Bulkowski-Swing and day trading_ evolution of a trader-Wiley (2013).pdf
│ │ ├── Xin Guo, Tze Leung Lai, Howard Shek, Samuel Po-Shing Wong-Quantitative Trading_ Algorithms, Analytics, Data, Models, Optimization-Chapman and Hall_CRC (2016).azw3
│ │ └── 知乎盐系列+57+我是高频交易工程师+.mobi
│ └── Unix
│ ├── Anoop Chaturvedi, B.L. Rai-Unix and Shell Programming-Laxmi Publications (2017).pdf
│ ├── B. Kernighan, R. Pike UNIX - Programming Environment .pdf
│ ├── Chris Johnson, Jayant Varma-Pro Bash Programming, Second Edition_ Scripting the GNU_Linux Shell-Apress (2015).pdf
│ ├── Computer-Architecture-Sixth-Edition-A-Quantitative-Approach.pdf
│ ├── Dave Taylor and Brandon Perry-Wicked Cool Shell Scripts_ 101 Scripts for Linux, OS X, and UNIX Systems-No Starch (2017).pdf
│ ├── Dave Taylor, Brandon Perry-Wicked Cool Shell Scripts_ 101 Scripts for Linux, OS X, and UNIX Systems-No Starch Press (2016).djvu
│ ├── (Developer’s Library) Stephen G. Kochan, Patrick Wood-Shell Programming in Unix, Linux and OS X-Addison-Wesley Professional (2016).pdf
│ ├── (developer’s series) William “Bo” Rothwell-Linux for Developers Jumpstart Your Linux Programming Skills-Addison-Wesley (2017).pdf
│ ├── Mark G. Sobell, Matthew Helmke - A practical Guide to Linux Commands, Editors and Shell Programming (2018, Addison-Wesley).pdf
│ ├── Mihalis Tsoukalos-Go Systems Programming_ Master Linux and Unix system level programming with Go-Packt Publishing (2017).pdf
│ ├── Mitja Resman-CentOS High Availability_ Leverage the power of high availability clusters on CentOS Linux, the enterprise-class, open source operating system-Packt Publishing (2015).pdf
│ ├── Robert Love-Linux system programming_ talking directly to the kernel and C library-O'Reilly Media (2013).pdf
│ ├── (The expert's voice in Linux) Nathan Campi, Kirk Bauer-Automating Linux and Unix System Administration-Apress_ Distributed to the book trade by Springer-Verlag (2009).pdf
│ ├── Timothy Boronczyk-CentOS 7 Server Deployment Cookbook-Packt Publishing (2016).azw3
│ └── W. Richard Stevens, Stephen A. Rago Advanced Programming in the UNIX Environment.pdf
├── README.md
└── Ref
├── momentum.bib
└── momentum.bib.sav
29 directories, 644 filesFolders and files
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