Hattingh Caleb. 20 Python Libraries You Aren’t Using (But Should)

New York: O’Reilly Media, 2016. — 351 p. If you’re like many of Excel’s 750 million users, you want to do more with your data—like repeating similar analyses over hundreds of files, or combining data in many files for analysis at one time. This practical guide shows ambitious non-programmers how to automate and scale the processing and analysis of data in different formats—by...

2nd Edition. — Packt Publishing, 2016. — 130 p. — ISBN: 978-1-78588-803-8. Код примеров к книге выложен здесь. Leverage the power of Python design patterns to solve real-world problems in software architecture and design. With the increasing focus on optimized software architecture and design it is important that software architects think about optimizations in object creation,...

Springer, 2016. — 298 p. — (Statistics and Computing). — ISBN: 3319283154 This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from survival analysis and Bayesian statistics. Working code and...

O’Reilly Media, 2016. — 508 p. — ISBN: 978-1-4919-4881-1. Код примеров к книге выложен здесь. How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that’s initially too messy or difficult to access. You don’t need to know a thing...

5th Edition. — Springer, 2016. — 942 p. — (Texts in Computational Science and Engineering). — ISBN: 978-3-662-49886-6. The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics,...

Краткий обзор использования NumPy на примере решения начальной задачи математической физики. Работа является вольным переводом этого: http://folk.uio.no/rolv/slides_color.pdf Было переведено при попытке разобраться в NumPy. Все примеры перепроверены, ошибки исправлены (для numpy). Почему именно Python Содержание: Вычисления с Numerical Python включают. Numeric vs...