Python for Everyone_

Description
Python is one of the most popular programming languages in the world, with a vast community of developers and users. In order to start using Python effectively, it is important to have a strong understanding of its core concepts.

This comprehensive guide provides you with a solid foundation in the fundamental concepts of Python programming. It covers a range of important topics, including working with strings, flow control statements, exception handling, and regular expressions. You will also learn about the essential functions and data structures, and explore the use of pre-built packages to extend Python's capabilities. Numpy and data visualization with packages like Matplotlib are also discussed in depth, along with the popular data analysis and manipulation package, Pandas. This book is an essential resource for anyone looking to master Python and use its power to tackle real-world projects.

With a strong grasp of these core concepts, you will be well-equipped to write efficient and effective Python code.

What you will learn
● Learn how to write Python code in different IDEs like VSCode and Jupyter Notebook.
● Learn how to work with packages and modules in python.
● Get familiar with Python data science libraries.
● Understand how to use Regular expressions in Python.
● Learn how to write Python comments that are clean, concise, and useful.

Who this book is for
This book is designed to cater to a diverse audience, including students pursuing diplomas, undergraduate, and postgraduate degrees in any branch of Engineering and Science. It is also suitable for programming and software professionals looking to enhance their skills in Python.

Table of Contents
1. Basic Python Introduction
2. Concept of Strings in Python
3. Concept of Flow Control Statements in Python
4. Concept of Exception Handling in Python
5. Concept of Regular Expressions in Python
6. Concept of Functions in Python
7. Concept of Data Structures in Python
8. Concept of Packages in Python
9. Numpy Introduction
10. Data Visualization Introduction
11. Pandas Introduction