Python : A Comprehensive Course From Beginner To Advanced

Become a professional Python developer, from beginner to advanced.

What you'll learn

Programming Python with ease

You'll discover how to use Python's capabilities to accomplish things.

Python can be used to solve your own difficulties at work or for your own projects.

With classes, you can learn how to use object-oriented programming.

You'll create applications and games that make use of Python libraries.

Recognize ideas from computer science like flow control and functions

A working knowledge of Python as a programming language.

Use encapsulation, abstraction, polymorphism, inheritance, and so on.

Know the purpose of interfaces and how important they are.

Managing Exceptions

Requirements

No prior programming knowledge is necessary; everything you need to know will be taught to you.

Accessibility to a computer with internet service.

Description

This course will cover all aspects of Python programming, starting from the basics and gradually moving towards advanced topics. By the end of the course, students will be proficient in using Python for various purposes such as data analysis, web development, game development, and more. The practical projects and exercises will help students apply the concepts learned in the course and build a strong foundation in Python programming.Python is a versatile and powerful language that offers a wide range of opportunities for developers. By staying up to date with the latest developments in the language, continuing to learn and grow your skills, and building real-world projects, you can become a highly skilled Python developer and take advantage of the many opportunities that this field has to offerLearning Python is a journey that never truly ends. There is always more to learn and new areas to explore. The most important thing is to continue practicing and applying what you've learned. So keep coding, keep learning, and enjoy the process!Another way to improve your Python skills is to contribute to open-source projects. Contributing to open-source projects can help you improve your coding skills and learn best practices from other experienced programmers. You can also make valuable connections and contribute to the wider Python community.

Overview

Section 1: Introduction to Python programing

Lecture 1 Introduction to Python programing

Lecture 2 Introduction to Python Programming

Lecture 3 Why Python is important

Lecture 4 Installing Python

Lecture 5 Basic Python Syntax

Lecture 6 Variables and Data Types

Lecture 7 Control Structures

Section 2: Object-Oriented Programming with Python

Lecture 8 Object-Oriented Programming with Python

Lecture 9 Classes and Objects

Lecture 10 Inheritance in Python

Lecture 11 Polymorphism in Python

Lecture 12 Encapsulation in Python

Lecture 13 Advanced OOP Concepts in Python

Section 3: Data Structures in Python

Lecture 14 Data Structures in Python

Lecture 15 Lists in Python

Lecture 16 Tuples in Python

Lecture 17 Sets in Python

Lecture 18 Dictionaries in Python

Lecture 19 Working with Data Structures in Python

Section 4: Python Libraries and Frameworks

Lecture 20 Python Libraries and Frameworks

Lecture 21 NumPy and Pandas for Data Analysis in Python

Lecture 22 Matplotlib for Data Visualization

Lecture 23 Flask and Django for Web Development

Lecture 24 Pygame for Game Development

Lecture 25 Other Libraries and Frameworks

Section 5: Advanced Python Topics

Lecture 26 Advanced Python Topics

Lecture 27 Generators and Iterators

Lecture 28 Decorators in Python

Lecture 29 Exception Handling

Lecture 30 Threading and Multiprocessing in Python

Lecture 31 Regular Expressions

Section 6: Collaborating with Python Programmers

Lecture 32 Collaborating with Python Programmers

Lecture 33 Sharing and Reusing Code

Lecture 34 Contributing to Open-Source Project

Lecture 35 Collaborating with Other Programmers

Lecture 36 Code Review and Feedback

Lecture 37 Best Practices for Collaborating

Section 7: Practical Projects and Exercises

Lecture 38 Practical Projects and Exercises

Lecture 39 Simple Python Projects

Lecture 40 Intermediate Python Projects

Lecture 41 Advanced Python Projects

Lecture 42 Exercises and Challenges

Section 8: Conclusion of a Python course

Lecture 43 Conclusion of a Python course

Lecture 44 Recap of Course Topics

Lecture 45 Final Thoughts on Python Mastery

Lecture 46 Next Steps in Python Learning

Those with an interest in programming but no prior expertise.,Anyone else who desires to study Python.,Python refresher for newer Python programmers.,Get ready to fall in love with programming and Python.