Programming Language Basics (Python)-PART A

Module 1: Fundamentals of Coding and Algorithms

Learning Outcomes:

1. Understand programming concepts.
2. Familiarize with data structures and algorithms.
3. Develop analytical skills for algorithm design and complexity.
4. Learn about memory transfer learning.

Session 1: Programming Concepts

Introduction to Python:

• Python is a popular programming language, first released in the 1990s, used for developing apps, games, and websites.
• It is dynamically typed, meaning variable data types are determined at runtime.

Why Choose Python?

• Easy to read and write.
• Platform-independent.
• Strong support for algorithms and data structures.
• Excellent educational tools.
• Good integration with other technologies.

Python Installation:

1. Download Python from the official site (python.org) and follow the installation instructions.
2. Verify installation with the commands: python --version and pip --version.
3. Use Jupyter Notebook or Google Colab for online coding.

Activity:

• Pause the video to download and install Python.

Integrated Development Environment (IDE):

• An IDE helps streamline coding with features for editing, building, testing, and packaging.
• Popular Python IDEs include IDLE, Spyder, PyCharm, Visual Studio, and Atom.

Python Libraries:

• Libraries are collections of pre-written code to simplify coding.
• Types of Libraries:
  • Standard Library: Pre-installed, covering basic functionalities (e.g., file handling, math).
  • Third-Party Libraries: Created by the community, installable via pip.

Using Libraries:

• Import libraries with the import statement.
• Example:
  python

  Copy code

  import math
print(math.sqrt(16)) # Output: 4.0


Conclusion:

• Take time to select and install an IDE for Python coding.
• Look forward to the next lesson on Programming Language Basics.

Thank You!