Welcome to my Python Projects repository!
This collection contains my Python exercises, lecture notes, and mini-projects that demonstrate my understanding of programming fundamentals, data handling, and analysis.
- Core Python: Numbers, Strings, Lists, Tuples, Dictionaries, Sets
- Control Flow: Conditional statements, Loops, Functions, Exception handling
- Object-Oriented Programming: Classes, Objects, and real-world examples (Library Project)
- Modules & Packages: Using libraries and virtual environments
- Threading & Concurrency: Basic multithreading concepts
- Data Handling: File handling, JSON, and Requests
- Working with Databases: SQL integration and CRUD operations
- Date & Text Processing: Datetime and Regular Expressions
- Data Analysis Libraries:
- NumPy β numerical operations and array handling
- Pandas β data cleaning, filtering, grouping, and combining
- Matplotlib β data visualization and plotting
- HubSpot Data Project: Analyze and clean customer data using Pandas and visualize key metrics.
- Dropbox Automation Project: Automate file operations and handle API data using JSON and Requests.
- Mini Library System: Object-oriented design and file management example using classes and exception handling.
- Python 3
- Jupyter Notebook / VS Code
- Pandas, NumPy, Matplotlib
- Requests, JSON, Regex
- SQL (via Python connection)
Each folder corresponds to a lecture or project:
- Open the
.ipynb
or.py
files inside to view code and explanations. - Some folders include datasets or output images.
- Projects have a README describing the goal and key insights.
- Strengthen core Python programming skills
- Apply data analysis workflows using Pandas and NumPy
- Build small real-world projects using APIs and data visualization
If youβd like to connect or discuss data analytics projects:
LinkedIn: https://www.linkedin.com/in/muhammadamin-nazirov-54432829a?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app
Email: muhammadamin.mazirov@mail.ru
β Feel free to explore, fork, or suggest improvements!