Python for Everyone

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, its 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 essential functions and data structures, and explore the use of pre-built packages to extend Pythons 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.

KEY FEATURES

* Get familiar with the core and advanced Python concepts
* Work with the most used Data Science libraries in Python.
* Take the first step towards your coding goals with “Python for Everyone“

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.

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

Saurabh Chandrakar is a Research & Development Engineer (Dy. Manager) at Bharat Heavy Electricals Limited (BHEL) Hyderabad. He is the winner of the best executive award on Operations Division by BHEL Hyderabad. Recently, he has been awarded the prestigious BHEL Excellence Award under Anusandhan category for Redundant Composite Monitoring System of Power Transformers project. He has 20 copyrights and 1 patent granted. Additionally, he has 6 patents filed. Moreover, he has published 3 books in reputed publications such as BPB New Delhi (Programming Techniques using Python), Scitech Publications Chennai (Programming Techniques using matlab) and IK International publishers (Microcontrollers and Embedded System Design). He has also launched 1 video course on BPB titled “First Time Play with Basic, Advanced Python concepts and complete guide for different python certification exams all in one umbrella.”

Dr. Nilesh Bhaskarrao Bahadure received the Bachelor of Engineering degree in Electronics Engineering in 2000, the Master of Engineering degree in Digital Electronics in 2005, and the Ph.D. degree in Electronics in 2017 from KIIT Deemed to be University, Bhubaneswar, India. He is currently an Associate Professor in the Department of Computer Science and Engineering at Symbiosis Institute of Technology (SIT), Nagpur, Symbiosis International (Deemed University) (SIU), Pune, Maharashtra, India. He has more than 20 years of experience. Dr. Bahadure is a life member of IE(I), IETE, ISTE, ISCA, SESI, ISRS, and IAENG professional organizations. He has published more than 40 articles in reputed international journals and conferences, and has 5 books to his credit. He is the reviewer of many indexed journals such as IEEE Access, IET, Springer, Elsevier, Wiley and so on. His research interests are in the areas of Sensor Technology, the Internet of Things, and Biomedical Image Processing.