Python : A Comprehensive Course from Beginner to Advanced

Python : A Comprehensive Course from Beginner to Advanced, available at $29.99, with 46 lectures, and has 2 subscribers.

You will learn about 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 This course is ideal for individuals who are Those with an interest in programming but no prior expertise. or Anyone else who desires to study Python. or Python refresher for newer Python programmers. or Get ready to fall in love with programming and Python. It is particularly useful for Those with an interest in programming but no prior expertise. or Anyone else who desires to study Python. or Python refresher for newer Python programmers. or Get ready to fall in love with programming and Python.

Enroll now: Python : A Comprehensive Course from Beginner to Advanced

Summary

Title: Python : A Comprehensive Course from Beginner to Advanced

Price: $29.99

Number of Lectures: 46

Number of Published Lectures: 46

Number of Curriculum Items: 46

Number of Published Curriculum Objects: 46

Original Price: $54.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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.

Target Audiences

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.

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.

Course Curriculum

Chapter 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

Chapter 2: Object-Oriented Programming with Python

Lecture 1: Object-Oriented Programming with Python

Lecture 2: Classes and Objects

Lecture 3: Inheritance in Python

Lecture 4: Polymorphism in Python

Lecture 5: Encapsulation in Python

Lecture 6: Advanced OOP Concepts in Python

Chapter 3: Data Structures in Python

Lecture 1: Data Structures in Python

Lecture 2: Lists in Python

Lecture 3: Tuples in Python

Lecture 4: Sets in Python

Lecture 5: Dictionaries in Python

Lecture 6: Working with Data Structures in Python

Chapter 4: Python Libraries and Frameworks

Lecture 1: Python Libraries and Frameworks

Lecture 2: NumPy and Pandas for Data Analysis in Python

Lecture 3: Matplotlib for Data Visualization

Lecture 4: Flask and Django for Web Development

Lecture 5: Pygame for Game Development

Lecture 6: Other Libraries and Frameworks

Chapter 5: Advanced Python Topics

Lecture 1: Advanced Python Topics

Lecture 2: Generators and Iterators

Lecture 3: Decorators in Python

Lecture 4: Exception Handling

Lecture 5: Threading and Multiprocessing in Python

Lecture 6: Regular Expressions

Chapter 6: Collaborating with Python Programmers

Lecture 1: Collaborating with Python Programmers

Lecture 2: Sharing and Reusing Code

Lecture 3: Contributing to Open-Source Project

Lecture 4: Collaborating with Other Programmers

Lecture 5: Code Review and Feedback

Lecture 6: Best Practices for Collaborating

Chapter 7: Practical Projects and Exercises

Lecture 1: Practical Projects and Exercises

Lecture 2: Simple Python Projects

Lecture 3: Intermediate Python Projects

Lecture 4: Advanced Python Projects

Lecture 5: Exercises and Challenges

Chapter 8: Conclusion of a Python course

Lecture 1: Conclusion of a Python course

Lecture 2: Recap of Course Topics

Lecture 3: Final Thoughts on Python Mastery

Lecture 4: Next Steps in Python Learning

Instructors

Igor Sekularac
Python Programming Expert

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Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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