Summaries for Quantitative Finance

Numerical Analysis

NIST Digital Library of Mathematical Functions. Companion to NIST Handbook of Mathematical Functions.

John Burkardt's advice on choosing numerical integration routines from QUADPACK.

David Goldberg: What Every Computer Scientist Should Know About Floating-Point Arithmetic.

Statistics and Econometrics for Practitioners

NIST/SEMATECH e-Handbook of Statistical Methods. This handbook is to help scientists and engineers incorporate statistical methods in their work efficiently.
StatLib--Applied Statistics algorithms. 300+ statistical algorithms published by The Royal Statistics Society.
Machine Learning
- R-bloggers. In-depth Introduction to Machine Learning in 15 Hours of Expert Videos.
- Kevin Murphy & Francis Bach. Machine Learning: A Probabilistic Perspective. The MIT Press; 1 edition (August 24, 2012). Amazon.
- Christopher Bishop. Pattern Recognition and Machine Learning. Springer (April 6, 2011). Amazon.
- Coursera. Machine Learning by Andrew Ng.
Kim Larsen. GAM: The Predictive Modeling Silver Bullet (July 30, 2015).
Simon Wood. Website at University of Bristol (GAM and more).
陈希孺：《数理统计学简史》。长沙：湖南教育出版社，2002。
Roberto Pedace. Econometrics for Dummies. For Dummies; 1st edition (June 24, 2013). Amazon.
Peter Kennedy. A Guide to Econometrics. Wiley-Blackwell; 6th edition (February 19, 2008). Amazon.
Allen B. Downey. Think Stats. O'Reilly Media; 1 edition (July 25, 2011). Amazon.

Programming Learning Paths

DevOps

Maven
- Sonatype. 1) Maven by Example. 2) Maven: The Complete Reference.
- Balaji Varanasi & Sudha Belida. Introducing Maven. Apress; 1st edition (November 26, 2014). Amazon.
- Jason Taylor. Maven Crash Course: Step-by-Step Introduction for Beginners. Last updated 08/2017. Udemy.
- Maven Central Repository. 1) Repo. 2) Search Engine. 3) Nexus Repository Manager.
- Apache Maven Project. 1) Maven Documentation. 2) Frequently Asked Technical Questions. 3) Apache Maven Javadoc Plugin. 4) Books and Resources.
Jenkins
- Jenkins User Handbook.
- Jenkins Boot Camp.
- Jenkins 2 Boot Camp.
- Brent Laster. Jenkins 2: Up and Running. O'Reilly Media; 1 edition (May 31, 2018). Amazon.
Russ McKendrick, Pethuru Raj, Jeeva S. Chelladhurai, and Vinod Singh. Docker Bootcamp: The fastest way to learn Docker. Packt Publishing; 1 edition (April 27, 2017). Amazon.
DevOps School.
DevOps Boot Camp.

Database

Oracle. Database Reference.
Presto 0.215 Documentation.

Data Science

Jeroen Janssens: Data Science at the Command Line.
Hadley Wickham & Garrett Grolemund. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. O'Reilly Media; 1st edition (2017). Amazon.
Jake VanderPlas. Python Data Science Handbook. O'Reilly Media; 1 edition (December 10, 2016). Amazon.
Wes McKinney. Python for Data Analysis. O'Reilly Media; 2nd edition (October 20, 2017). Amazon.
Data Science Tools: Matplotlib's online gallery, Bokeh, Scikit-Learn, Scikit-Image, StatsModels, pandas.0.24.1 documentation.
Jupyter Notebooks: A gallery of interesting Jupyter Notebooks. Jupyter nbviewer.

Python

Pete R. Jemian. PyDev: Developing Python code in Eclipse.
Anaconda. 1) Conda User Guide. 2) Getting Started with Anaconda Navigator.
TutorialsPoint.com. Python 3 tutorial.
GeeksforGeeks: Python Programming Language.
Jake VanderPlas. A Whirlwind Tour of Python. O'Reilly Media; 1st edition (August, 2016).
Jake VanderPlas. Python Data Science Handbook. O'Reilly Media; 1 edition (December 10, 2016). Amazon.
Wes McKinney. Python for Data Analysis. O'Reilly Media; 2nd edition (October 20, 2017). Amazon.
Luciano Ramalho. Fluent Python. O'Reilly Media; 1 edition (August 20, 2015). Amazon.
Brett Slatkin. Effective Python: 59 Specific Ways to Write Better Python. Addison-Wesley Professional; 1 edition (March 8, 2015). Amazon.
Python.org. 1) The Python Standard Library (3.7.1). 2) Python HOWTOs. 3) PEP8 -- Style Guide for Python Code.
Kenneth Reitz & Tanya Schlusser. The Hitchhiker's Guide to Python: Best Practices for Development. O'Reilly Media; 1 edition (September 18, 2016). Amazon.
SciPy
- scipy-lectures.org: Scipy Lecture Notes.
- SciPy Cookbook.
- docs.scipy.org. NumPy Quickstart Tutorial. NumPy and Scipy Documentation.
Machine Learning
- Scikit-Learn.
- Andreas Mueller and Sarah Guido. Introduction to Machine Learning with Python. O'Reilly Media; 1 edition (October 21, 2016). Amazon.
- Sebastian Raschka & Vahid Mirjalili. Python Machine Learning. Packt Publishing; 2nd edition (September 20, 2017). Amazon.
xlwings: Quickstart, video course.
Matt Makai. Full Stack Python.
O'Reilly's Python resource.

Java

TutorialsPoint.com: Eclipse Tutorial.
GeeksforGeeks: Java Programming Language.
Oracle. Java Tutorials Learning Paths (for JDK 8).
Paul Deitel. Java Fundamentals LiveLessons Parts I, II, III, and IV. Prentice Hall (November 17, 2016). informIT.
Dheeru Mundluru. Java In-Depth: Becoming a Complete Java Engineer. Last updated 10/2018, Udemy.
Cay S. Horstmann: Core Java for the Impatient (Covers Java SE 8). Addison-Wesley Professional; 1 edition (February 12, 2015). Amazon.
Robert Liguori & Patricia Liguori. Java 8 Pocket Guide: Instant Help for Java Programmers. O'Reilly Median; 1st edition (April 28, 2014).
Joshua Bloch. Effective Java. Addison-Wesley Professional; 3rd edition (January 6, 2018). Amazon.
Herbert Schildt. Java: The Complete Reference. McGraw-Hill Education; 10 edition (October 11, 2017). Amazon.
Oracle. 1) Java SE 8 API Specification. 2) Database JDBC API Reference.
Apache. 1) Apache Commons Lang 3.9-SNAPSHOT API. 2) Log4j 2 Javadoc API Documentation.

Style Guide: 1) Oracle. 2) Google Java Style Guide. 3) Java 8 Pocket Guide Naming Conventions. 4) How to Write Doc Comments for the Javadoc Tool.
Angelika Langer. Java Generics FAQs.
Philip Shaw. Java Interface Design FAQ.
115 Java Interview Questions and Answers.

Jared P. Lander. R for Everyone: Advanced Analytics and Graphics. Addison-Wesley Professional; 1st edition (December 29, 2013). Amazon.

Hadley Wickham & Garrett Grolemund. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. O'Reilly Media; 1st edition (2017). Amazon.
Winston Chang. Cookbook for R.
Paul Teetor. R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics. O'Reilly Media; 1st edition (March 23, 2011). Amazon.
Winston Chang. R Graphics Cookbook: Practical Recipes for Visualizing Data. O'Reilly Media; 1st edition (January 6, 2013). Amazon.
Tidyverse.org. ggplot2 Reference.
Hadley Wickham. Advanced R. Chapman & Hall/CRC; 1st edition (September 27, 2014). Amazon.
Hadley Wickham. R Packages: Organize, Test, Document, and Share Your Code. O'Reilly Media; 1st edition (April 13, 2015). Amazon.
Yihui Xie, J. J. Allaire, and Garrett Grolemund. R Markdown: The Definitive Guide. Chapman and Hall/CRC; 1 edition (July 19, 2018). Amazon.

C/C++

Yale N. Patt & Sanjay J. Patel. Introduction to Computing Systems: From Bits and Gates to C and Beyond. McGraw-Hill Education; 2nd edition (2003). Amazon.
Brian W. Kernighan & Dennis M. Ritchie. The C Programming Language. Prentice Hall; 2nd edition (April 1, 1988). Amazon.
Cplusplus.com. C++ Tutorials.
Paul Deitel. C++ Fundamentals I and II LiveLessons (July 2010, Prentice Hall). Safari Books Online.
Stephen Prata. C++ Primer Plus. SAMS; 5th edition (November 23, 2004). Amazon.
Stanley B. Lippman, Josee Lajoie, & Barbara E. Moo. C++ Primer. Addison-Wesley Professional; 5th edition (August 16, 2012). Amazon.
Stephen C. Dewhurst. C++ Common Knowledge. Addison-Wesley Professional (March, 2005). Amazon.
Stanley B. Lippman. Essential C++. Addison-Wesley Professional (November, 1999). Amazon.
Scott Meyers. Effective C++: 55 Specific Ways to Improve Your Programs and Designs. Addison-Wesley Professional; 3rd edition (May 22, 2005). Amazon.
Isocpp.org. C++ FAQ.
Heard at JPMC (2015): C++ Coding Guidelines, C++ Coding Standards.

Shell

Software Carpentry Foundation. Shell Tutorial.
Stanford CS Education Library. Unix Programming Tools.
Bruce Barnett. UNIX SHELL Quote Tutorial.
Cygwin User's Guide.
Mehryar Mohri. [V22.0468-001] Spring 2008 Unix Tools.
Chris Johnson. Pro Bash Programming: Scripting the Linux Shell. Apress; 1st ed. (October 19, 2009). Amazon.

Perl

Greg London. Impatient Perl.
Simon Cozens. Beginning Perl. Perl.org free online Perl books.
James Lee. Beginning Perl. Apress; 3rd edition (April 12, 2010). Amazon.
Gabor Szabo. Beginner Perl Maven. Beginner Perl Maven video course.
Perldoc.perl.org. Manual, Reference, and Modules.

Design Patterns and Software Architecture

Erich Gamma, Richard Helm, Ralph Johnson & John Vlissides. Design Patterns: Elements of Reusable Object-Oriented Software. Addison-Wesley Professional (November 10, 1994). Amazon.
TutorialsPoint. Design Patterns in Java Tutorial.
Java Design Patterns FAQ.
Oodesign.com. Design Patterns.
Robert C. Martin. Clean Architecture: A Craftsman's Guide to Software Structure and Design. Prentice Hall; 1 edition (September 20, 2017). Amazon.
Stanford University. Programming Paradigms (by Jerry Cain, 2008). YouTube.

Finance, Economics, Financial & Economic History

All theory, dear friend, is gray, but the golden tree of life springs ever green. -- Johann Wolfgang von Goethe

陕甘宁边区银行纪念馆、《朱理治金融论稿》编纂委员会：《朱理治金融论稿》，北京：中国财政经济出版社，1993。简述
爱德华多·加莱亚诺：《拉丁美洲：被切开的血管》，北京：人民文学出版社，2001。
Friedrich List. The National System of Political Economy (1841).
Peter L. Bernstein. A Primer on Money, Banking, and Gold. Wiley; 1st edition (September 2, 2008). Amazon.
Ha-joon Chang. 23 Things They Don't Tell You About Capitalism. Bloomsbury Press; Reprinted edition (January 17, 2012). Amazon.
OpenGamma. Interest Rate Instruments and Market Conventions Guide.
Bloomberg Open API. BLPAPI C++ 3.9.10 SDK Documentation.
Kalotay. BondOAS Library API Documentation.
WallStreetPrep. Crash Course in Bonds.
ARPM. https://www.arpm.co/

Last updated: 2019-02-04

Summaries for Quantitative Finance

Click here to edit subtitle

Summaries for Quantitative Finance

© 2019 Summaries for Quantitative Finance. All Rights Reserved.