I came across your book. Apart from the incredibly useful content, I love the casual style and in particular, the margin notes.
— James Battle (Sydney)
Just worked through your new book and I really enjoyed it. Great read! Really looking forward to Volume II!
— Titian Steiger (Zurich)
Exceptionally well written, with loads of examples, packed with tiny details that make this book so valuable!!
— Henry Edmonton, PhD (London)
The best introduction to Python for quantitative analysts I had a pleasure to read so far. Clear and concise. Straight to the point.
— John McKey (USA)
Very very professional!
— Lukasz Orlowski (Singapore)
See Inside (.pdf)
Python for Quants 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 3.5 (2.7.10 compatible) 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 (updated: June 2016)
100+ most useful Python functions
235 quality pages, A4 format, ready for double-side print, colour
50+ solved computational challenges
2000+ lines of Python code
via immediate e-mail delivery (pdf) at the affordable price of USD 44.95
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)
2. Fundamentals of Python
Introduction to Mathematics
Lists and Chain Reactions
Beyond the Lists
3. Fundamentals of NumPy for Quants
In the Matrix of NumPy
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
A Recommended Style of Python Coding
Date and Time
Replace VBA with Python in Excel
Your Plan to Master Python in 6 months