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5 Free python eBooks for freshers to read before job interview

    Whether you are an AI expert or a Computer Science student, you will come across Python Programming language sooner or later in your career, and having a good knowledge of Python will go a long way in your career.

    Here are 5 free e-Books you must read to kickstart your career in tech world:

    1. Automate the Boring Stuff with Python- By Al Sweigart
    This book covers an introduction to Python for total beginners. It covers common aspects of Data Science such as web scraping, pattern matching and text extraction from PDF. You’ll learn how to use Python to write programmes in minutes that would take you hours to do by hand.

    2. Python Data Science Handbook: Essential Tools for Working with Data- By Jake VanderPlas
    If you already have a basic understanding of Python and you want to read more about using Pandas, NumPy and Machine Learning tool kits, then this may be the right book for you. As one of the top books for learning to manipulate data, aka (data wrangling and making data visualizations with Python) you’ll be hard-pressed not to learn something new.

    3. An Introduction to Statistical Learning with Applications in R- By Gareth James, Daniela Witten, Trevor Hastie, & Robert Tibshirani
    This book presents some of the most important modelling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, and much more.

    4. A Byte of Python- By C H Swaroop
    This is a book on programming using the Python language. It serves as a tutorial or guide to the Python language for a beginner audience. If you haven’t yet had any programming experience then this could be the book for you.

    5. Data Mining and Analysis: Fundamental Concepts and Algorithms- By Mohammed J. Zaki & Wagner Meira, JR.
    The main topics of the book include exploratory data analysis, pattern mining, clustering, and classification. The book lays the basic foundations of these tasks and also covers many more cutting-edge data mining topics such as multimedia data mining, spatial and geographic data mining and ubiquitous data mining.