Python Programming for Beginners Crash Course with Hands-On Exercises, Including NumPy, Pandas and Matplotlib Audiobook By Ibnul Jaif Farabi cover art

Python Programming for Beginners Crash Course with Hands-On Exercises, Including NumPy, Pandas and Matplotlib

Virtual Voice Sample

Audible Standard 30-day free trial

Try Standard free
Select 1 audiobook a month from our entire collection of titles.
Yours as long as you’re a member.
Get unlimited access to bingeable podcasts.
Standard auto renews for $8.99 a month after 30 days. Cancel anytime.

Python Programming for Beginners Crash Course with Hands-On Exercises, Including NumPy, Pandas and Matplotlib

By: Ibnul Jaif Farabi
Narrated by: Virtual Voice
Try Standard free

$8.99 a month after 30 days. Cancel anytime.

Buy for $6.99

Buy for $6.99

Background images

This title uses virtual voice narration

Virtual voice is computer-generated narration for audiobooks.
Are you ready to start your path to becoming a Python programmer?
Are you looking for the best Python Crash Course to Learn Python Coding fast, simply and efficiently?
If yes, then this book is for you. This is one of the most comprehensive and straight-forward guides to master the Python programming language.
This book is designed for both beginners with little to no Python programming experience and experienced Python developers looking to make it into the world of Data Science!
This is a complete book for Python beginners with all the concepts and the opportunity to apply your knowledge thoroughly! Exercises and examples are included for learning the concepts fast and easily, as well as the results of the examples are also added.
This book is divided into 4 units.
In the first unit, we’ll study a brief introduction to Python programming language, including variables, user input, arithmetic operations, comparison and logical operators, decision making statements, loops, functions, lists, tuples and dictionary.
In the second unit, we’ll study NumPy, including NumPy arrays, different mathematical operations, array sorting, indexing and slicing techniques.
In the third unit, we’ll study Pandas, including Pandas series, DataFrame, operations, importing and exporting data.
In the fourth unit, we’ll study Matplotlib, including Matplotlib plots, markers, lines, grids, labels, subplots, scatter plots, bar graphs, histograms, and pie charts.
What are you waiting for? Start your Python journey today and let’s start coding!
Programming & Software Development Programming Computer Science
No reviews yet