We are reader supported and may earn a commission when you buy through links on our site
Python is the de facto language for data scientists, statisticians, machine learning experts, and web enthusiasts. There is a plethora of learning material available for Python and selection once could be difficult.
Here is a curated list of top 11 books for Python training that should be part of any Python developer’s library.
Python Crash Course teaches you basics python fundamental. The book is divided into two parts. The first half of this book, you’ll introduce to fundamental of python programming. Like lists, dictionaries, classes, and loops, and practice.
In the second half, you’ll assign three projects: arcade game, Space Invaders, data visualizations. This book ends by providing some basic information about how to develop simple web apps.
It is an ideal pocket guide for quick on job reference for Python developers. You’ll find concise, need to know information on Python types and statements, names of a special method, inbuilt functions, exceptions, and other frequently used standard library modules.
The book also covers Built-in object types, syntax, statements for creating as well as processing objects, functions, modules for structuring and reusing code. It also includes special operator overloading methods, standard library modules, and extensions important Python idioms and hints, etc.
This e-book is designed to be used as a primary textbook for python course. This third edition of Python Programming keeps up the tradition of updating content with the latest in the market. It provides details about new technologies and while maintaining a time-tested approach to teach the basic concept of computer science.
It also provides easy to understand graphical examples, spanned across 4 to the 12th chapter.
This e-book offers complete instruction for manipulating, processing, cleaning, and crunching datasets in Python. You will also find many practical case studies that show you how to solve a broad set of data analysis problems.
It is ideal to learn python program, and data analysts as the book have a practical, modern introduction to data science tools using Python. In this Python book, you will also learn the latest version of NumPy, Pandas, IPython, and Jupyter.
Python Cookbook is an ideal book if you need help writing programs in Python 3. It also helps you to update the Python 2 code. The book is recommended for experienced Python program who wants to learn modern tools use for Python development.
Inside, this book you will find topics related to core Python language and tasks common to a wide range of application domains. It offers many code samples you can use in your along with discussion about how and why the solution works.
A python is a popular programming language because of its libraries for storing, manipulating, and gathering insight from data. There are many resources available to learn data science. However, with the help of this book, you will get in-depth information about Pandas, IPython, NumPy, Matplotlib, and other related tools.
It is a perfect reference book for Data scientists and crunchers familiar with reading and writing Python code. This helps you to tackle day-to-day coding issues occurs in python development.
In this book, you’ll able to learn Python by working through 52 well-developed exercises. Corrects your coding mistakes, learn what good programs look like and how to plan them.
You will learn how to install a complete Python environment, organizing & writing code, basic mathematics, variables, looping and logic, Python packaging, automated testing. Finally, you will learn the basic game & web development using Python programming language.
Complete Python Guide with example is a book for those people who are scared of Python’s long and complicated code. This popular book covers complex concepts of Python and examines it in simple steps.
This e-book teaches you basic Python coding fundamentals like classes, objects, tuples, strings, etc. Moreover, the examples given in this book helps you to understand all the Python concepts in easy to understand manner.
9) Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow
Python Machine Learning offers practical techniques to develop machine learning, deep learning, and data analysis algorithms. The book updated using the latest python libraries.
This book includes TensorFlow deep learning library. The scikit-learn code given in this book is also fully updated. You will get the knowledge about the best practices that help you to improve and optimize your machine learning algorithms. At the end of the book, you’ll be able to explore new data analysis opportunities available in today’s world.
In this book, you will learn the concept of natural language processing. You will also learn how to write Python programs. This also works with large collections of unstructured text. This book teaches you how to write Python programs that work with large collections of unstructured text.
This book is helpful to enhance practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) which is open source library.
The book is a step-by-step guide for developing web applications with Python and Django 2.1. You will learn how to build, test, and deploy five most comprehensive websites. This includes a blog app with user accounts, Message Board app, and a Newspaper app along with reader comments.
Apart from this, this book also teaches you various features of Django and best practices around models, views, templates, user registration, testing, and deployment.