Python Notes for Professionals

Packt Publishing, 2015. — 364 p. — ISBN: 978-1-78398-196-0. Python is a ground breaking language for its simplicity and succinctness, allowing the user to achieve a great deal with a few lines of code, especially compared to other programming languages. The pandas brings these features of Python into the data analysis realm, by providing expressiveness, simplicity, and powerful...

MIT Press, 2016. — 802 p. A comprehensive introduction to neural networks and deep learning by leading researchers of this field. Written for two main target audiences: university students (undergraduate or graduate) learning about machine learning, and software engineers. This is a PDF compilation of online book (www.deeplearningbook.org) Who Should Read This Book? Historical...

5th Edition. — O’Reilly Media, Inc., 2013. — 1600 p. — ISBN: 1449355730. Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz’s popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It’s an ideal way to begin, whether you’re new to programming...

CreateSpace Independent Publishing Platform, 2017. — 247 p. Save time and money and start learning Python Programming now with this massive, best-selling Python Computer Programming bundle covering Beginner, Intermediate and Advanced levels. This 4 book volume contains: Python: Beginner's Guide to Programming Code with Python Python: Tips and Tricks to Programming Code with...

GoalKicker.com, 2018. — 813 p. The Python Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow. Text content is released under Creative Commons BY-SA. See credits at the end of this book whom contributed to the various chapters. Images may be copyright of their respective owners unless...

N.Y.: Addison-Wesley, 2015. — 683 p. — ISBN: 978-0134034287. The Python programming language has unique strengths and charms that can be hard to grasp. Many programmers familiar with other languages often approach Python from a limited mindset instead of embracing its full expressivity. Some programmers go too far in the other direction, overusing Python features that can cause...