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Category: "Computer Science"

Books

  1. A Python workbook for absolute beginners with lots of practice to help build confidence.

  2. Hands-on and written in jupyter notebook....feel the heat!

  3. Blockchain Beyond Bitcoin
    Blockchain is not about Bitcoin, This is far from that.
    Ahmad Manzoor

    We prepare this book for all the new learners who want to learn about Blockchain basics, architecture & security mechanism as well as you will understand why is required & where it’s using this technology.

  4. This is a short manual to understand the 4th Industrial Revolution Technologies & 5G in very easy & understandable language.

  5. Making Music & Rhythm Browser Games
    Creating "Audio" Game Mechanics for Phaser.js Gaming Frameworks v3.24+ & v2.x.x
    Stephen Gose

    This is a single chapter from the Phaser Game Starter Kit Collection. This chapter leads you through "Audio" game development. This self-contained tutorial has both v3.24+ & v2.x.x encoding. It's perfect for novices, experienced web developers, and just anyone wanting with their own bespoke music and rhythm game, artwork, and features.

  6. Programming in Golang
    Learning golang Programming with hands-on experience
    A.J. García

    Go through a series of exercises that will let you master all the features of GO

  7. Javascript Challenges
    Rewarding Challenges to Improve your Javascript Skills
    A.J. García

    Master Javascript after beating all the challenges !! The challenges that will skyrocket your JS !!

  8. Learning Python Programming from Scratch
    Learn the key fundamentals of Python quickly
    A.J. García

    Python from Beginner to Successful Developer !! The easiest and fastest way to get around Python.

  9. Applied Multivariate Analysis with R
    Step by Step Guide to Perform Multivariate Analysis with R
    A.J. García

    This book takes you step by step through the process of preparing the data and producing multivariate analysis on it with R.

  10. Applied Multivariate Analysis with Python
    Step by Step Guide to Perform Multivariate Analysis with Python
    A.J. García

    This book takes you step by step through the process of preparing the data and producing multivariate analysis on it with Python.

  11. Data Structures and Algorithms for Job Interviews
    Prep for the interview and get the job you want
    A.J. García

    A collection of Python code solving some of the common Data Structures and Algorithms you might be expected to encounter at an interview process

  12. Leaving the Rat Race with Python
    An Insider's Guide to Freelance Developing
    Christian Mayer and Lukas Rieger

    Is There a Six-Figure Freelance Developer in You?Leaving the Rat Race with Python shows you how to nurture, grow, and harness your work-from-home coding business online --- and live the good life!It's an insider's guide to freelance developing. Start your new thriving coding business now!

  13. This reference volume consists of revised, edited, cross-referenced, and thematically organized articles from Software Diagnostics Institute and Software Diagnostics Library (former Crash Dump Analysis blog) written in October 2008 - June 2009. This major revision contains corrections and WinDbg output color highlighting.

  14. The Algorithm Interview Guide
    An interview guide with a detailed step-by-step explanation to the most commonly asked questions and patterns.
    Rajesh Mohanan

    A comprehensive step-by-step approach for learning algorithms for coding interviews. 50 questions with well-explained solutions that cater to both the struggling and also experienced. All solutions are explained well in detail with the help of pseudocode and also with Java.

  15. Network Analysis Made Simple
    An introduction to network analysis and applied graph theory using Python and NetworkX
    Eric Ma and Mridul Seth

    Are you interested in learning about graph theory and applied network analysis, leveraging your Python skills? Then this is the book for you! See how network science & graph theory connects with a variety of data analysis problems, and use it to solve your next data science challenge!