https://github.com/tameronline/mystro

https://github.com/tameronline/mystro

Last synced: 5 months ago
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• Host: GitHub
• URL: https://github.com/tameronline/mystro
• Owner: TamerOnLine
• License: other
• Created: 2024-10-20T20:59:16.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-10-20T22:27:27.000Z (over 1 year ago)
• Last Synced: 2025-05-28T06:20:07.457Z (about 1 year ago)
• Size: 24.4 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md
  • Security: SECURITY.md

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README

          

# Programming Course Outline

## 1. Introduction to the Course:

- **Course Goals:**

  - Learn the basics of programming using Python.

  - Develop analytical and logical thinking skills.

  - Enhance problem-solving skills in programming.

  

- **Target Audience:**

  - Beginners in programming.

  - Individuals with a basic background looking to improve their skills.

## 2. Python Basics:

- **Introduction to Python Programming:**

  - Introduction to the programming environment.

  - How to install Python and work with Jupyter Notebook.

- **Basic Concepts:**

  - Variables & Data Types.

  - Operators (Arithmetic & Logical).

  - Conditional Statements (If/Else).

  - Loops (For/While).

- **Practical Exercises:**

  - Writing simple programs using the basic concepts.

## 3. Object-Oriented Programming (OOP):

- **Introduction to OOP:**

  - Objects & Classes.

  - Inheritance.

  - Polymorphism.

  - Abstraction.

  - Encapsulation.

- **Practical Examples:**

  - Building a simple system using OOP.

## 4. Data Structures:

- **Types of Data Structures:**

  - Lists.

  - Sets.

  - Dictionaries.

  - Queues & Stacks.

- **Practical Applications:**

  - Using data structures in solving programming problems.

## 5. Algorithms:

- **Types of Algorithms:**

  - Search Algorithms.

  - Sorting Algorithms.

  - Backtracking Algorithms.

- **Examples from Leetcode:**

  - Solving programming challenges requiring algorithms.

## 6. Problem Solving:

- **Logical Thinking Techniques:**

  - Breaking down a problem into smaller parts.

  - Using appropriate data structures.

- **Practical Exercises:**

  - Applying skills to solve real-world problems.

## 7. Automation:

- **Introduction to Automation:**

  - Concept of automation in programming.

  - Tools used (e.g., Selenium, Pandas).

- **Practical Examples:**

  - Writing automation scripts for data analysis or task automation.

## 8. Working with External APIs:

- **Introduction to APIs:**

  - What is an API and how it works.

  - Methods to interact with APIs (HTTP Requests).

- **Practical Applications:**

  - Connecting to an external API to retrieve data.

  - Building projects that use APIs.

## 9. Leetcode Challenges:

- **Importance of Programming Challenges:**

  - How to use them to enhance problem-solving skills.

- **Practical Solutions:**

  - Examples of Leetcode challenges related to data structures and algorithms.

## 10. Practical Projects:

- **Building a Project from Scratch:**

  - Choosing a project idea.

  - Planning, designing, and developing the project.

- **Project Examples:**

  - Data analysis project.

  - Building a simple web application.

  - Image classification project using machine learning.

## 11. Conclusion of the Course:

- **Content Review:**

  - Revisiting the key concepts learned.

- **Final Projects:**

  - Submitting a final project as part of the assessment.

- **Continuous Learning Tips:**

  - Resources for further development of programming skills after the course.