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Python Quick Start

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Are you looking to get started with Python, but not sure where to begin? In this course, Python expert and trainer Lavanya Vijayan shows you the basics of what Python is, why it is such a powerful and in-demand programming language, and what you need to know to start writing it.

Discover the fundamentals of programming in Python through data, functions, sequences, conditional statements, iteration, loops, and recursion. Along the way, Lavanya provides a brief introduction to object-oriented programming, its key applications, and industry best practices. By the end of this quick start course, you’ll be well on your way with becoming proficient in Python to boost your skill set and advance your career.

This course was created by Madecraft. We are pleased to host this training in our library.

 


01 - Introduction
  • 01 - Advancing your career with Python

  • 02 - 1. Defining Python
  • 01 - Demystifying Python
  • 02 - Starting with Python
  • 03 - Comparing Python vs. Java
  • 04 - Harnessing the power of Python

  • 03 - 2. Working with Data in Python
  • 01 - Setting up your Python environment
  • 02 - Sorting your types of data
  • 03 - Storing data using variables

  • 04 - 3. Using Functions in Python
  • 01 - Defining functions in Python
  • 02 - Using built-in functions in Python
  • 03 - Building your own functions
  • 04 - Distinguishing types of functions
  • 05 - Using modules in Python

  • 05 - 4. Leveraging Sequences in Python
  • 01 - Defining sequences
  • 02 - Using lists in Python
  • 03 - Leveraging tuples in Python

  • 06 - 5. Using Conditional Statements in Python
  • 01 - Defining conditional statements
  • 02 - Working with if statements
  • 03 - Using If-else statements
  • 04 - If-elif and if-elif-else statements

  • 07 - 6. Working with Iteration in Python
  • 01 - Defining iteration
  • 02 - Using a for loop
  • 03 - Writing a while loop

  • 08 - 7. Using Recursive Functions in Python
  • 01 - Demystifying recursive functions
  • 02 - Navigating a recursive function

  • 09 - 8. Object-Oriented Programming in Python
  • 01 - What is object-oriented programming
  • 02 - Applying object-oriented programming

  • 10 - Conclusion
  • 01 - Next steps
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    تاریخ انتشار: 20 شهریور 1402
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