Python Modules (Part 1) | Introduction & Importing Modules
Welcome to the Part 1 series on Python Modules! In this video, we delve into the fundamental concepts of Python modules, exploring their advantages, how to import them, and the different ways to utilize modules in your Python programs.
In This Video:
Introduction to Python Modules:
Understand what modules are in Python and why they are useful.
Learn how modules help in organizing code and promoting code reuse.
Objects in Python Modules:
Explore the different types of objects that a module can contain, including functions,
classes, and variables.
Advantages of Using Python Modules:
Discover the benefits of modular programming in Python.
Learn how modules simplify code maintenance and enhance collaboration.
Importing Python Modules:
Learn how to import entire modules into your Python programs.
Explore importing specific functions or classes from a module.
Key Points of the Import Statement:
Understand the syntax and usage of the import statement.
Learn best practices for importing modules to avoid common pitfalls.
Module Aliasing:
Discover how to use aliasing to simplify module names in your code.
See practical examples of module aliasing to enhance code readability.
Member Aliasing:
Learn how to rename imported members for convenience and clarity.
Practical demonstrations of member aliasing in Python.
Locating Modules:
Understand how Python finds and loads modules.
Learn about the module search path and how to customize it.
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Python Modules (Part 2) for Class 11 Computer Science
This video covers – Standard Built-in Python Modules, math module π (pi) Euler's number (e), ceil( ) floor( ) pow( ) fabs( ) sqrt( ), log10( ) cos( ) sin( ) tan( ) help( ), random module, randrange( ) random( ) randint( ), uniform( ) choice( ) shuffle( ), statistics module, mean( ), median( ), mode( ), Practical Implementation
• Python Modules (Part 2) | CBSE Class ...