Become more Advanced in Learning through these Python Programming Books

By ridhigrg |Email | May 8, 2019 | 8577 Views

Python Programming language should be on the tips for beginners and professionals. 

Learn Python the Hard Way: A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code (Zed Shaw's Hard Way) Paperback - 1 Oct 2013
by Zed A. Shaw
n Learn Python the Hard Way, Third Edition, you'll learn Python by working through 52 brilliantly crafted exercises. Read them. Type their code precisely. (No copying and pasting!) Fix your mistakes. Watch the programs run. As you do, you'll learn how the software works; what good programs look like; how to read, write, and think about code; and how to find and fix your mistakes using tricks professional programmers use.
This tutorial will reward you for every minute you put into it. Soon, you'll know one of the world's most powerful, popular programming languages. You'll be a Python programmer.

Python Essential Reference (4th Edition) 4th Edition
by David Beazley 
Python Essential Reference is the definitive reference guide to the Python programming language ?? the one authoritative handbook that reliably untangles and explains both the core Python language and the most essential parts of the Python library.

Designed for the professional programmer, the book is concise, to the point, and highly accessible. It also includes detailed information on the Python library and many advanced subjects that is not available in either the official Python documentation or any other single reference source.

Thoroughly updated to reflect the significant new programming language features and library modules that have been introduced in Python 2.6 and Python 3, the fourth edition of Python Essential Reference is the definitive guide for programmers who need to modernize existing Python code or who are planning an eventual migration to Python 3. Programmers starting a new Python project will find detailed coverage of contemporary Python programming idioms.

Beginning Python: From Novice to Professional (Beginning From Novice to Professional) Paperback - 15 Nov 2009
by Magnus Lie Hetland 
Gain a fundamental understanding of Python's syntax and features with the second edition of Beginning Python, an up-to-date introduction and practical reference. Covering a wide array of Python-related programming topics, including addressing language internals, database integration, network programming, and web services, you'll be guided by sound development principles. Ten accompanying projects will ensure you can get your hands dirty in no time.

Updated to reflect the latest in Python programming paradigms and several of the most crucial features found in Python 3.0 (otherwise known as Python 3000), advanced topics, such as extending Python and packaging/distributing Python applications, are also covered.

Python Programming for the Absolute Beginner, 3rd Edition
by Michael Dawson
If you are new to programming with Python and are looking for a solid introduction, this is the book for you. Developed by computer science instructors, books in the "for the absolute beginner" series teach the principles of programming through simple game creation. You will acquire the skills that you need for practical Python programming applications and will learn how these skills can be put to use in real-world scenarios. Throughout the chapters, you will find code samples that illustrate the concepts presented. At the end of each chapter, you will find a complete game that demonstrates the key ideas in the chapter, a summary of the chapter, and a set of challenges that tests your newfound knowledge. By the time you finish this book, you'll be well versed in Python and be able to apply the basic programming principles you've learned to the next programming language you tackle.

Deep Learning with Python Paperback - Import, 30 Nov 2017
by Francois Chollet
Deep learning is applicable to a widening range of artificial intelligence problems, such as image classification, speech recognition, text classification, question answering, text-to-speech, and optical character recognition.

Deep Learning with Python is structured around a series of practical code examples that illustrate each new concept introduced and demonstrate best practices. By the time you reach the end of this book, you will have become a Keras expert and will be able to apply deep learning in your own projects.

Source: HOB