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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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2024 Advanced Python Programming with Coding Examples...

By : Faisal Zamir

Exploring the Depths: Advanced Python Programming with Hands-On Coding Examples...

4.8 2117

87 lectures Intermedite Level   

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2024 Complete Python & Python OOP with Projects...

By : Temotec Learning Academy

Learn Python Programming from Zero to Hero with Easy-to-Follow Examples and Real-Worl...

4.5 280

43 lectures All Level   

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Python Fundamentals For Absolute Beginners Using Google Cola...

By : Zeeshan Ahmad

Fundamental Course of Python Programming for Absolute beginners. This course covers a...

4.8 238

39 lectures Beginner Level   

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Python Numpy Bootcamp | Learn Numpy Data Analysis...

By : Faisal Zamir

Learn Data Science | Data Analysis | Python Numpy Bootcamp | Learn Numpy Data Analysi...

4.3 145

76 lectures All Level   

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Python Web Development Pro: Flask, Django, HTML, CSS & Boots...

By : Arbaz Khan

Elevate Your Web Development Skills: Master Back-End & Front-End Technologies with Py...

4 824

51 lectures All Level   

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Python Course for Beginners...

By : Sanjeev Kumar Prajapati

Beginner to Intermediate ...

4.8 190

22 lectures Intermedite Level   

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Python For Signal and Image Processing Master Class...

By : Zeeshan Ahmad

Signal and Image Processing Algorithms : Theory, Intuition, Mathematics, Numerical ex...

4.5 245

22:54:5 hrs   181 lectures All Level   

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Python Quick Start | Lear Python Quickly ...

By : RAGHAVENDRA SWAMY

Quick Start for New Beginners and Learners...

4.5 213

3:36:13 hrs   11 lectures Beginner Level   

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Jupyter Crash Course for Beginners...

By : Fahad Masood Reda

Learn the Basics of Jupyter Notebooks and start your journey in the field of Data Sci...

4.5 231

1:17:6 hrs   23 lectures All Level   

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

Numpy For Data Science - Real Time Exercises...

By : Data Science Lovers DSL

First step towards Python's Numpy Library...

4.5 256

2:28:33 hrs   22 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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