Getting Started With Python – Free Data Science Books

The goal of this book is to provide an Informatics-oriented introduction to programming. The primary difference between a computer science approach and the Informatics approach taken in this book is a greater focus on using Python to solve data analysis problems common in the world of Informatics.

In 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 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.

Most importantly, you'll learn how to install a complete Python environment, organise and write code, basic coding constructs, game development and more.

Introduction to computer science using the Python programming language.

It covers the basics of computer programming in the first part while later chapters cover basic algorithms and data structures.

learn python break python

Scott Grant

Learn Python, Break Python is a hands-on introduction to the Python programming language, written for people who have no experience with programming whatsoever. Hey, we all have to start somewhere. As such, the examples and teaching style used in this text make absolutely no expectations about your prior programming experience.

If you've never used a programming language before, leaping into Python might seem a bit scary at first. You don't need to worry. Learning how to program a computer is far from impossible. Anyone can pick up the art of programming with a little time and a bit of patience.

Think Python

By Allen B. Downey

Think Python is an introduction to Python programming for beginners.

It starts with basic concepts of programming, and is carefully designed to define all terms when they are first used and to develop each new concept in a logical progression.

Larger pieces, like recursion and object-oriented programming are divided into a sequence of smaller steps and introduced over the course of several chapters.

Object Oriented Programming With Python

Ashwin Pajankar and Sushant Garg

This book is the simple and definitive guide to the Python 3 Object Oriented Programming. Other book of the similar genres make use of complicated writing style and examples to introduce the readers to the OOP in Python 3. However, this book uses Simple language to explain concepts. It is aimed at intermediate learners who already know Python.

Test-driven web development with python

Harry Percival

By taking you through the development of a real web application from beginning to end, the second edition of this hands-on guide demonstrates the practical advantages of test-driven development (TDD) with Python.

You'll learn how to write and run tests before building each part of your app, and then develop the minimum amount of code required to pass those tests. The result? Clean code that works. In the process, you'll learn the basics of Django, Selenium, Git, jQuery, and Mock, along with current web development techniques.

Clean architectures in python

Leonardo Giordani

The clean architecture is the opposite of spaghetti code, where everything is interlaced and there are no single elements that can be easily detached from the rest and replaced without the whole system collapsing. The main point of the clean architecture is to make clear "what is where and why".
This book is divided into two parts.
The first part is about Test-driven Development (TDD) and the second one introduces the clean architecture.

Getting started with python in the lab

Gordon Webster

Many life science researchers are missing out on some of the wonderful computational tools that are out there, and that could be invaluable in helping them to manage and analyze their laboratory data.
This brief Python code tutorial for life science computing, aims to point life scientists with relatively little exposure to programming languages, in the right direction to be able to start using the Python programming language to write useful code that can solve real problems in their work and their research.

Dive Into Python 3

Mark Pilgrim

Dive Into Python 3 is a hands-on guide to Python 3 and its differences from Python 2. As in the original book, Dive Into Python, each chapter starts with a real, complete code sample, proceeds to pick it apart and explain the pieces, and then puts it all back together in a summary at the end

This book includes:

• Example programs completely rewritten to illustrate powerful new concepts now available in Python 3: sets, iterators, generators, closures, comprehensions, and much more
• A detailed case study of porting a major library from Python 2 to Python 3
• A comprehensive appendix of all the syntactic and semantic changes in Python 3

This is the perfect resource for you if you need to port applications to Python 3, or if you like to jump into languages fast and get going right away.

KB Data Mining with python sources

Roberto Bello

The aim of this work is to present and describe in detail the algorithms to extract the knowledge hidden inside data using Python language, which allows us to read and easily understand the nature and the characteristics of the rules of the computing utilized, as opposed to what happens in commercial applications, which are available only in the form of running codes, which remain impossible to modify. The algorithms of computing contained within the work, are minutely described, documented and available in the Python source format, and serve to extract the hidden knowledge within the data whether they are textual or numerical kinds. There are also various examples of usage, underlining the characteristics, method of execution and providing comments on the obtained results.