Python for Quants (1st Ed.) is the first book-series in the market that takes you from the absolute beginner level in Python programming towards instant applications in Quantitative Analysis, Mathematics, Statistics, Data Analysis, Finance, and Algo Trading. Written with passion, this book of unprecedented quality and in-depth coverage teaches you the essentials of Python that allow you to start coding your ideas, models, and solving complex problems straight away!
Volume I of Python for Quants trilogy is all about making you feel comfortable with Python’s syntax and
creativity of object-oriented programming. This Volume does not teach you quantitative finance nor
statistics; this is the subject of Volume II and III. It teaches you Python applied
to quantitative problems by great number of individually crafted examples and ready-to-use Python codes.
Volume I Highly Recommended for:
Everyone who starts programming in Python
Quantitative, Financial, and (Big) Data Analysts, Students, Researchers
If You want to replace VBA with Python in Excel
QuantAtRisk Quality of Publishing:
1st Edition, Nov 26th 2015
100+ most useful Python functions
235 quality pages, A4 format, ready for double-side print, colour
50+ solved computational challenges
500+ lines of Python code
Volume I covers:
1. Python for Fearful Beginners
Your New Python Flight Manual
Python for Quantitative People
Installation of Python (Mac OS X, Linux, Windows)
Using Python
2. Fundamentals of Python
Introduction to Mathematics
Complex Analysis
Lists and Chain Reactions
Randomness Built-In
Beyond the Lists
Functions
3. Fundamentals of NumPy for Quants
In the Matrix of NumPy
1D Arrays
2D Arrays
Arrays of Randomness
Sample Statistics with scipy.stats Module
3D, 4D Arrays, and N-dimensional Space
Essential Matrix and Linear Algebra
NumPy’s ufuncs: Acceleration Built-In
Element-wise Analysis
Appendix
A Recommended Style of Python Coding
Date and Time
Replace VBA with Python in Excel
Your Plan to Master Python in 6 months