4 Free Books For Learning Python For Data Science

Python remains the most mainstream programming language for Data Scientists. This is to a great extent because of the moderately basic, simple to-learn, nature of the linguistic structure and the way that there is a functioning network of engineers keeping up a wide scope of libraries for information investigation, control, and arrangement, notwithstanding those for AI. There are heaps of free or minimal effort courses out there to learn Python however on the off chance that you like to gain from books or need to enhance these courses, here are 5 totally free books that will get you going with Python for information science.

1) Python For Everybody

This is a great book for beginner in area of Data Science, this book teaches a person how to use Python for interacting with databases, make data visualisations out of datasets and doing data modelling. 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. This book can be really helpful in learning following aspects of Python Programming Language: –

Python For Everybody
Python For Everybody
  • Variables, Expressions and Statements
  • Conditional Execution
  • Functions
  • Iteration
  • Strings
  • Files
  • Lists
  • Dictionaries
  • Tuples
  • Regular Expressions
  • Networked Programs
  • Using Web Services
  • Object-Oriented Programming Using Python
  • Using Databases with Python
  • Visualising Data using Python

2) Introduction To Machine Learning With Python

This is one of the best book which can be used for learning Machine Learning using Python programming language. This book mainly focuses on using Python’s Scikit-Learn library to do Machine Learning. This book teaches following concepts: –

Introduction to Machine Learning with Python
Introduction to Machine Learning with Python
  • Supervised Machine Learning
  • Unsupervised Machine Learning
  • Representing Data and Engineering Features
  • Model Evaluation and Improvement
  • Algorithmic Chains and Pipelines
  • Working with Text Data

This book can be considered as beginner to intermediate level Machine Learning Guide and helps in understanding a lot of complex concepts about ML.

3) Python Data Science Handbook

Data Scientist’s toolkit involves a number of skills/technologies which a person must know in order to work on a Data Science Project. One of the most important skill that a Data Scientist must have is skill to use different libraries in Python to work with data etc. This book teaches following aspects of Data Science: –

Python Data Science Handbook
Python Data Science Handbook
  • IPython – Popular Python Development Environment For Data Science Projects
  • Introducing NumPy – Python library
  • Doing Data Manipulation using Pandas
  • Making Data Visualizations using Matplotlib

4) Automate The Boring Stuff With Python

Another book that isn’t specific to data science. However, if you want something that will get you excited about the simple practical use cases for Python then this book is definitely worth reading. The main focus is on automating simple repetitive tasks and assumes no prior knowledge of programming so is excellent for the complete beginner. I personally find that I learn best when I have a practical implementation in mind and this book gives you some very simple tasks that a beginner can quickly perform in Python. This book teaches the following concepts: –

Automate The Boring Stuff With Python
Automate The Boring Stuff With Python
  • Python Basics
  • Flow Control
  • Functions
  • Lists
  • Dictionaries and Structuring Data
  • Manipulating Strings
  • Pattern Matching With Regular Expressions
  • Reading and Writing Files
  • Organising Files
  • Debugging Python code
  • Web Scrapping using Python Programming Language
  • Working with different files in Python
  • Sending automatic emails using Python
  • Manipulating images


I'm Jason based in lovely, beautiful city Sydney in Australia. I've done my Master's in Data Science from University of Sydney in 2015. Since then I'm working with Local Government as a Data Scientist helping to better understand data and improve services which Governement provides. Here on this blog, I'm sharing articles about Data Science mostly kind of learnings from my actual job but not always.

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