A Master's Course in Python: with Certification: Basic to Advanced Techniques to Master Python

Module 1....8

Introduction to Python....8

Definitions for this week....10

What is Python?....11

Why do we need to use Python?....13

Careers in Python....14

Software for Learning Python....18

Setting up the Development Environment in Python....20

Best Approach....23

Syntax and Structure....28

Data Types....38

Sets and Bytes....40

Declaring Variables....42

Naming Conventions....43

Basic operations with Variables....46

Control Structures....48

Loops....52

Dictionaries....59

Functions and Modules....62

Resources....66

References....67

Quiz 1....69

Functions Continued....72

Parameters....79

Return Values....80

Recursions....82

Traversing....85

Generating Permutations....89

Combinations....90

Import Statement....91

Case Studies....94

Resources....95

Quiz 2....96

Module 3....99

Aspects of Good Software Development....99

Classes and Objects....103

Inheritance and Polymorphism....106

Reusable code....108

Maintainable code....109

Error Handling....109

File Input/Output (I/O)....111

Regular Expressions (regex)....113

SQLite, MySQL, and PostgreSQL....116

Lists and Tuples....118

Slicing and Indexing....118

Encapsulations and Abstraction....119

Decorators and Generators....120

Review Case Studies....122

Resources....124

Quiz 3....125

Module 4....130

CSV and JSON....130

API and XML....132

SOAP....136

REST....137

GET, POST, PUT, and DELETE....138

Lambda Functions....139

Flask and Django Framework....141

ORM....143

Web Development....144

HTML, CSS and JavaScript....145

Building Web Applications....148

Database Management....151

Final Exam....153

Project: Building a To-Do List Application....162

Resources....164

References....165

Research Studies....167

Glossary of Terms....168

The course includes Certificate of Certification if the students submit the Final Exam with the project that accompanies this book. A Master's Course in Python course is designed to provide students with a solid foundation in Python programming, as well as an introduction to web development, data science, and machine learning. The course covers the fundamental concepts of Python, including data types, variables, control structures, functions, and modules. It also covers advanced essential concepts and best practices of Python. It includes real world case studies, a wealth of Research reports on Python programming concepts, Reference for additional books, website, and other study material as well as a Glossary of Terms. It provides hands-on experience with real-world projects, and prepares students for future opportunities in the field of software development. By the end of the course, students will be able to have a University level of Python programming.