Python Made Easy: Step by Step Guide to Programming and Data Analysis using Python for Beginners and Intermediate Level

Nilabh Nishchhal

ISBN 10: 1649837259 / ISBN 13: 9781649837257

Published by Notion Press, 2020

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Seller Inventory # 401737537

Bibliographic Details

• Title: Python Made Easy: Step by Step Guide to Programming and Data Analysis using Python for Beginners and Intermediate Level
• Publisher: Notion Press
• Publication Date: 2020
• Language: English
• ISBN 10: 1649837259
• ISBN 13: 9781649837257
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Python Made Easy: Beginners Guide to Programming and Data Analysis using Python

Get comprehensive learning of Python Programming starting from the very basics and going up to utilizing python libraries for data analysis and Visualization. It provides an ideal and elegant way to start learning Python, both for a newcomer to the programming world and a professional developer expert in other languages.

This book comes loaded with illustrations and real-life examples. It gives you exercises which challenge you to refresh your conceptual clarity and write better codes. It is super easy to follow and will work as a self-paced tutorial to get you started with the latest and best in Python. All the advanced Python features to date are included.

1. Get to know the history, present, and future of Data Science

2. Get introduced to the basics of Computer Programming

3. Explore the exciting world of Python using Anaconda

4. Learn how to install and use Python on your computer

5. Create your Variables, Objects and learn Syntax of operations

6. Explore Python’s built-in object types like Lists, dictionaries, Tuples, Strings and sets

7. Learn to make your codes reusable by using functions

8. Organize your codes, functions and other objects into larger components with Modules

9. Explore Classes – the Object-Oriented Programming tool for elegant codes

10. Write complex codes and learn how to handle Errors and Exceptions

11. Learn about NumPy arrays and operations on them

12. Explore data analysis using pandas on a real-life data set

13. Dive into the exciting world of Visualization with 3 chapters on 14. Visualization and Matplotlib

15. Experience the Power of What you learnt by 3 projects

16. Learn to make your own application complete with GUI by using API