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https://github.com/cfmvcarlos/python-udemy-lppm
Welcome to the Python Programming Masterclass repository! This repository showcases my projects, exercises, and notes completed during the Python: The Complete Python Developer Course on Udemy. This course provided a robust foundation in Python programming, covering both fundamental concepts and advanced techniques.
https://github.com/cfmvcarlos/python-udemy-lppm
database oop python-script python3 sql sqlite3 tkinter tkinter-gui tkinter-python
Last synced: about 1 month ago
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Welcome to the Python Programming Masterclass repository! This repository showcases my projects, exercises, and notes completed during the Python: The Complete Python Developer Course on Udemy. This course provided a robust foundation in Python programming, covering both fundamental concepts and advanced techniques.
- Host: GitHub
- URL: https://github.com/cfmvcarlos/python-udemy-lppm
- Owner: CFMVCarlos
- License: mit
- Created: 2024-11-23T15:09:04.000Z (about 2 months ago)
- Default Branch: main
- Last Pushed: 2024-11-23T16:16:15.000Z (about 2 months ago)
- Last Synced: 2024-11-23T16:27:08.364Z (about 2 months ago)
- Topics: database, oop, python-script, python3, sql, sqlite3, tkinter, tkinter-gui, tkinter-python
- Language: Python
- Homepage:
- Size: 9.05 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Python Programming Masterclass
## 📖 Introduction
Welcome to the **Python Programming Masterclass** repository! This repository showcases my projects, exercises, and notes completed during the **Python: The Complete Python Developer Course** on Udemy.
This course provided a robust foundation in Python programming, covering both fundamental concepts and advanced techniques. It is designed for aspiring developers and professionals, offering skills applicable to diverse domains, such as web development, data science, automation, and machine learning.
---
## 🚀 Key Learning Outcomes
- **Core Python Proficiency**: Mastered Python 3 syntax, data types, functions, and programming constructs.
- **Object-Oriented Programming (OOP)**: Built modular and reusable code leveraging OOP principles.
- **File and Database Management**: Gained expertise in file handling and integrating databases with Python applications.
- **Graphical User Interfaces (GUI)**: Created intuitive and user-friendly interfaces using the `tkinter` library.
- **Performance Optimization**: Utilized generators, list comprehensions, and benchmarking tools like `timeit` for writing efficient programs.
- **Problem-Solving Skills**: Developed projects to solve real-world challenges, preparing for Python-related job roles.
---
## 🗂️ Course Sections and Topics
### 1. **Course Introduction**
Overview of the course objectives and roadmap.
### 2. **Install and Setup**
Step-by-step instructions to install Python and configure a development environment.
### 3. **Stepping into the World of Python**
Introduction to Python syntax, variables, and basic operations.
### 4. **Program Flow Control in Python**
Conditional statements, loops, and exception handling for dynamic applications.
### 5. **Lists and Tuples**
Understanding sequences, indexing, slicing, and mutable/immutable collections.
### 6. **Functions - An Introduction**
Creating reusable code blocks using functions, arguments, and return values.
### 7. **Dictionaries and Sets**
Managing data with key-value pairs and exploring unique, unordered collections.
### 8. **Reading and Writing Files in Python**
Techniques for handling files, reading data, and writing to files.
### 9. **Modules and Advanced Functions**
Leveraging Python modules and advanced function concepts like recursion and decorators.
### 10. **Date and Time**
Working with the `datetime` module for date and time operations.
### 11. **Introduction to tkinter**
Building graphical user interfaces with Python's `tkinter` library.
### 12. **Object-Oriented Python**
Core concepts: classes, objects, inheritance, encapsulation, and polymorphism.
### 13. **Using Databases in Python**
Managing databases and interacting with SQLite for data storage and queries.
### 14. **Generators and Performance Optimization**
Efficient programming with generators, list comprehensions, and benchmarking techniques.
### 15. **Extras and Big O Notation**
Bonus content, slides, and insights into algorithmic efficiency.
---
## 🛠️ Usage Instructions
To explore the projects or exercises, navigate to the respective section in the repository and execute the scripts. For example:
```bash
cd Section13
python animated_bubble_sort.py
```
---
## 👤 Author
Hi, I'm [Carlos Valente](https://github.com/CFMVCarlos), an enthusiastic Python programmer and developer! Feel free to explore the repository and share your feedback or suggestions.