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Python

Get up and running with object-oriented programming by watching our Python tutorials. Expert-taught videos on this open-source software explain how to write Python code, including creating functions and objects, and offer Python examples like a normalized database interface and a CRUD application.

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Explore Python Courses

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Complete Python 3 Course for Beginners | Learn By Doing...

By : Chikanma Chika-Onuegbu

Learn to code in Python. The fastest growing programming language. Develop your skill...

4.7 78541

3:5:31 hrs   79 lectures All Level   

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Learn To Create Advance AI Assistant (JARVIS 2.0)With Python...

By : Arbaz Khan

How To Create Advance AI Assistant (JARVIS 2.0) With Python Like the One from Marvel'...

4.3 9678

3:47:47 hrs   33 lectures All Level   

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Learn Python With Real World Projects [In 2021]...

By : Arbaz Khan

Learn Python Programming From Very Basics To Intermediate Level With 20+ Practical Pr...

4.7 86925

2:0:34 hrs   20 lectures All Level   

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Python From Basic to Advanced...

By : Code Warriors

Get started with Python programming from scratch with hands-on exercises in this begi...

4.5 9626

1:12:34 hrs   20 lectures Beginner Level   

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Association Rule Mining: Basic Theory & Practice...

By : Takuma Kimura

Market basket Analysis with Python...

4.2 64168

1:42:26 hrs   23 lectures Beginner Level   

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Web Scraping in Python using Beautiful Soup (with Project)...

By : Yaswanth Sai Palaghat

Build a Stock Price Extraction Project...

4.1 6606

15 lectures All Level   

javascript-course-for-beginner-to-expert-data-visualization

Face Detection and Recognition Model From Scratch...

By : Yaswanth Sai Palaghat

Using Machine Learning and Computer Vision...

4.3 10584

1:11:11 hrs   13 lectures Beginner Level   

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Python For Absolute Beginners : Learn Python From Scratch...

By : Yaswanth Sai Palaghat

Python for all | Learn Python Programming From Scratch...

4.3 60727

2:10:47 hrs   38 lectures Beginner Level   

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Data Analytics A-Z with Python...

By : Yaswanth Sai Palaghat

Learn Python for Data Science...

4.8 9377

3:43:56 hrs   53 lectures All Level   

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Learn Python Programming from A-Z: Beginner To Expert Course...

By : Juan Galvan

Become a professional Python Developer and learn how to easily create programs, apps,...

4.6 14868

6:47:19 hrs   117 lectures All Level   

  • What is Python?

    Python is a high-level, interpreted programming language known for its readability, simplicity, and versatility. It supports multiple programming paradigms, including procedural, object-oriented, and functional programming. Python is widely used in various domains, including web development, data science, artificial intelligence, and automation.

  • Why use Python for programming?

    Using Python is advantageous due to its clean and concise syntax, making it easy to learn and read. It has a vast standard library and a large ecosystem of third-party packages, facilitating rapid development across different domains. Python's versatility and community support contribute to its popularity.

  • How does Python work?

    Python works by interpreting source code at runtime, making it a dynamically-typed language. It uses an indentation-based syntax to define code blocks, emphasizing readability. Python supports both scripting and object-oriented programming, making it suitable for a wide range of applications.

  • What elements are important in Python development?

    Key elements in Python development include variables, data types, control structures (such as loops and conditionals), functions, and classes for object-oriented programming. Python's extensive standard library, which includes modules for tasks like file I/O, networking, and regular expressions, is crucial for developers.

  • Can anyone use Python for programming?

    Yes, Python is accessible to developers of all levels, from beginners to experienced professionals. Its simplicity makes it an excellent language for those learning to program, while its versatility and performance make it a preferred choice for a wide range of applications. The Python community, documentation, and online resources contribute to the language's accessibility and popularity.

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