Finally, a book on Deep Learning that teaches the complex subject via pictures, stories and code. Anyone interested in AI will find this book not only accessible, but also entertaining. It covers Computer Vision, Natural Language Processing, Generative Adversarial Networks (GANs) and Deep Reinforcement Learning. Readers are loving it!

We take services like privacy, secure logins and online payments for granted. But how is it possible to transmit sensitive information like messages, passwords and credit card details safely? The answer is cryptography and as of September 2019, more than 90% of web traffic is encrypted. It's one of the less celebrated backbones of the internet and this book covers everything you wanted to know about it. You will implement cryptographic algorithms in Python, starting from Caesar Ciphers to SSL, gaining a deep practical understanding of the topic.

This is one of the best books if you want to learn parallel or distributed computing in Python. You will learn many practical recipes with concise explanations that address development pain points encountered while coding parallel programs. The first edition appeared in 2015, but this is the updated second edition.

35% of Python developers use PyCharm, making it the most popular IDE for the language. This book shows you how you can improve your Python programming efficiency by leveraging the many prominent and hidden features of this IDE. PyCharm offers special support for Django, SQL databases and Jupyter notebooks - and these topics are covered in detail here as well.

Fan of Ethereum or cryptocurrencies in general? This book will teach you how to code your own blockchain in Python and lots more.