Reference library

There is a presence library at Veit Schiele Communications GmbH (Maps). Feel free to make an appointment: bookshelf@python.berlin

Hitchhiker’s Guide für Python

Best Practices für Programmierer
By Kenneth Reitz
Juni 2017

Einführung in Machine Learning mit Python

Praxiswissen Data Science
By Andreas C. Müller / Sarah Guido
Juni 2017

Neuronale Netze selbst programmieren

Ein verständlicher Einstieg mit Python
By Tariq Rashid
April 2017

Python for Finance

Analyze Big Financial Data
By Yves Hilpisch
December 2014

Introducing Python

Modern Computing in Simple Packages
By Bill Lubanovic 
November 2014

Make a Raspberry Pi-Controlled Robot

Building a Rover with Python, Linux, Motors, and Sensors
By Wolfram Donat
November 2014

Becoming a Better Programmer

A Handbook for People Who Care About Code
By Pete Goodliffe
October 2014

High Performance Python

Practical Performant Programming for Humans
By Micha Gorelick, Ian Ozsvald
August 2014

Programmieren lernen mit Python

2.Auflage
By Allen B. Downey
August 2014

Lightweight Django

Using REST, WebSockets, and Backbone
By Julia Elman, Mark Lavin

Test-Driven Development with Python

Obey the Testing Goat: Using Django, Selenium, and JavaScript
By Harry J.W. Percival
June 2014

Flask Web Development

Developing Web Applications with Python
By Miguel Grinberg
April 2014

Python Cookbook

Recipes for Mastering Python 3
By David Beazley, Brian K. Jones
3rd Edition, May 2013

Twisted Network Programming Essentials

Event-driven Network Programming with Python
By Jessica McKellar, Abe Fettig
2nd Edition, March 2013

Python for Data Analysis

Data Wrangling with Pandas, NumPy, and IPython
By Wes McKinney
October 2012

Think Stats

Probability and Statistics for Programmers
By Allen B. Downey
July 2011

Software-Dokumentation mit Sphinx

By Jan Ulrich Hasecke