manishawsdevops / aws-devops-learning

This repository consists of training material and examples related for AWS DevOps and python.
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Introduction to Python #5

Open manishawsdevops opened 1 year ago

manishawsdevops commented 1 year ago

Cover below topics by following this guidelines.

  1. Introduction to Programming and Python:

    • Overview of programming concepts.
    • History and significance of Python.
    • Installing Python and setting up the development environment. ( First setup into Visual Studio Code then start using Google colab for all next set of learning ).
  2. Basic Syntax and Data Types:

    • Writing your first Python program.
    • Variables, data types, and type conversion.
    • Operators: arithmetic, comparison, and logical.
  3. Control Flow:

    • Conditional statements (if, elif, else).
    • Loops: for and while loops.
    • Break and continue statements.
  4. Data Structures:

    • Lists, tuples, and dictionaries.
    • Working with sequences and collections.
    • List comprehensions.
  5. Functions:

    • Defining and calling functions.
    • Parameters, return values, and scope.
    • Lambda functions and built-in functions.
  6. Modules and Packages:

    • Organizing code into modules.
    • Importing and using modules.
    • Creating and using packages.
  7. File Handling:

    • Reading and writing text files.
    • Using context managers (with statement).
    • Working with CSV and JSON files.
  8. Exception Handling:

    • Handling errors with try and except.
    • Raising custom exceptions.
    • Finally block and exception chaining.
  9. Object-Oriented Programming (OOP):

    • Introduction to OOP concepts.
    • Classes, objects, and methods.
    • Inheritance, encapsulation, and polymorphism.
  10. Basic Input and Output:

    • Taking user input.
    • Formatting output with f-strings and string formatting.
  11. Debugging and Testing:

    • Using print statements for debugging.
    • Introduction to debugging tools.
    • Writing basic test cases.
  12. Basic Algorithms and Data Manipulation:

    • Sorting and searching algorithms.
    • Manipulating lists and strings.
  13. Introduction to Libraries and Frameworks:

    • Overview of popular Python libraries (NumPy, pandas, Matplotlib).
    • Introduction to web frameworks (Django, Flask).
  14. Introduction to Virtual Environments:

    • Creating isolated development environments using virtualenv.
  15. Version Control and Git:

    • Introduction to version control with Git.
    • Basic Git commands for managing code repositories.
  16. Introduction to Coding Style and Best Practices:

    • PEP 8 style guide and code formatting.
    • Writing readable and maintainable code.
  17. Resources for Further Learning:

    • Recommended books, tutorials, and online resources.
    • How to continue advancing your Python skills.
sujith2303 commented 1 year ago

I think Basic Input and Output should be 3rd topic

manishawsdevops commented 1 year ago

Sure - Please go ahead and reorder anything according to you. Please ensure all the concepts are addressed

manishawsdevops commented 1 year ago

make a PPT of all the information - Make it very simple to the point. Do not include examples - Only include concepts in the PPT. We need to check-in the file inside the repo.

sujith2303 commented 1 year ago

Ok I ll make a ppt for each topic and a very small optional programming exercise Is this fine?

sujith2303 commented 1 year ago

The programming exercise is on the topics what i thought or the same code in the video

manishawsdevops commented 1 year ago

@sujith2303 - Try making the videos very crisp and to the point. Address the fundamentals clearly.