5 Best Python Books To Learn Programming in 2017

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Reading books is the best way to gain exposure over a particular subject and get an in-depth understanding. In this world of technology, it is important to know and understand the different technical aspects in the computer system. One of the most essential things to learn is that of computer programming language.Python is a famous and most useful computer programming that is interactive and extensible in nature. Learning Python is important as it is a cross platform computer language that is used by giant corporations to do work in a quick and efficient manner.

Python is one such famous and most useful computer programming language that continues to feature among the top languages. Python is a widely used high-level, general-purpose, interpreted, dynamic programming language in the late 1980s, and named after Monty Python, that’s used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the PyGame library. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code than possible in languages such as C++ or Java.

1. Learning Python (5th Edition)

The writer of the book is Mark Lutz. The books gives a brief learning of basics of python programming. The book is made for the beginners to get an insight into the programming with python. The readers can gain a depth knowledge with this book. So this is an ideal book whether you are the beginner or a professional programmer developer.
2. Python Programming: An Introduction To Computer Science
This is the second edition of John Zelle’s Python Programming, updated for Python 3. It offers foundational concepts of computer science in a form that is clear and easy to understand. It is about theory and its practical application. It takes a fairly traditional approach, emphasizing problem solving, design, and programming as the core skills of computer science. It is ideal to be read by beginners and new python programmers, as it provides for a strong foundation on the subject. It also touches upon important subjects like Structure and Introduction of Computer programs.
3. Python for Data Analysis
The author of the book is Wes Mckinney.  The book is wholely concerned with the nuts and bolts of manipulating, processing, cleaning and crunching the data in Python. The book also inherits the modern introduction to the scientific computing in Python. The book provides a better knowledge of the tools.  It helps to understand and analyse the data in move easy and effective way.

4. Python Cookbook


The book covers all the crucial areas regarding Python language and introduces one towards the much-needed techniques that has a huge scope, including simple string concentration to that of recursive decent parsers writing. The book has chapters that cover extensively on the subject generators and iteration techniques. It also carries a practical approach on several fronts. Packed with efficient and necessary chapters, the book is a must read for those who want to become good at Python programming language.

5. Python Essential Reference
Written by David M. Beazley, this book is a comprehensive reference to the Python programming language. The focus of this latest edition is to add coverage of significant new features and new library modules added to the language over the past five years. It also includes the omitted sections of Python 2 and provides a detailed overview of the language and helps in gaining a practical knowledge over the subject. Clearly written with concise organization, the new features covered include new style classes, unification of types and classes, xmlrpclip, intertools, bz2 and optparse, making it the most up-to-date Python book on the market. This book is the one that programmers need to read first.
Python is one of the famous programming languages used by major organizations and corporations. It is readable and supports multiple programming facilities, provides an exceptional platform for any type of relevant tasks, and last but not the least, allows a better developmental knowledge when it comes to programming language and tools.