This repository contains a diverse collection of Python projects and learning materials. It's structured into 'Alpha', 'Beta', and 'Gamma' categories, covering a wide range of topics from fundamental data structures and conditional statements to advanced concepts like object-oriented programming (OOP), web development, data science, and machine learning.
- Folder Structure
- Description
- How to Use
- Technologies Used
- Architecture or Code Overview
- Known Issues / Improvements
- Additional Notes or References
├── Alpha Content
│ ├── Day03-DataStructures
│ │ └── WordReversalGame.py
│ ├── Day04-ConditionalStatements
│ │ └── TicketBooking.py
│ ├── Day05-ConditionalStatements
│ │ └── greeting.py
│ ├── Day06-ConditionalStatements
│ │ ├── BonusPalindrome.py
│ │ ├── FizzBuzz.py
│ │ ├── IsPrime.py
│ │ ├── MultiplicationTable.py
│ │ └── Pattern.py
│ ├── Day07-ConditionalStatements
│ │ ├── CollatzConjecture.py
│ │ ├── CountdownTimer.py
│ │ ├── SumofDigits.py
│ │ └── Validation.py
│ ├── Day08-Functions
│ ├── Day09-DataStructures
│ │ ├── ListManipulation.py
│ │ └── Modifylist.py
│ ├── Day10-DataStructures
│ │ ├── ListPractice.py
│ │ └── TuplesBasics.py
│ ├── Day11-DataStructures
│ │ └── OrganisingKitchen.py
│ └── Day12-DataStructures
│ └── Contacts.py
├── Alpha Projects
│ ├── BasicArithimaticCalculator
│ │ └── Calculator.py
│ ├── InventoryManagementSystem.py
│ │ └── Management.py
│ ├── KaunBanegaCrorepati
│ │ └── KBC.py
│ ├── RockPaperScissor
│ │ └── RPS.py
│ ├── Hpattern.py
│ └── misSoln.py
├── Beta Content
│ ├── Day21-HandlingExceptions
│ ├── Day22-FileHandling
│ ├── Day29-OOP
│ ├── Day30-OOP
│ ├── Day31-OOP
│ ├── Day32-OOP
│ ├── Day33-OOP
│ ├── Day34-OOP
│ ├── Day35-Decorators
│ ├── Day36-Iterators
│ ├── Day37-Generators
│ ├── Day38-Closures
│ └── Day39-RegEx
├── Beta Projects
│ ├── chat-app
│ │ ├── client.py
│ │ └── server.py
│ ├── ScientificCalculator.py
│ ├── StealthVid.py
│ ├── ToDoList.py
│ ├── URLShortner.py
│ ├── WordCounter.py
│ ├── WordGame.py
│ ├── alarm.py
│ ├── diffEqFokkerPlank.py
│ ├── keyLogger.py
│ ├── mailer.py
│ ├── news.py
│ ├── news1.py
│ ├── notify.py
│ ├── passwdgen.py
│ ├── playlist.py
│ └── rockPaperScissor.py
├── Gamma Content
├── Gamma Projects
│ ├── Imageanalysis
│ │ ├── training_set
│ │ │ ├── cats
│ │ │ └── dogs
│ │ └── code1.py
│ ├── SalesAnalysis AI
│ │ ├── UberDataAnalysis.py
│ │ └── cab_rides.csv
│ └── svg2png.py
├── file.txt
├── krish.py
└── swg.py
-
Clone the repository:
git clone <repository_url>
-
Navigate to the desired project or content directory.
-
Run the Python scripts:
python <script_name>.py
-
Ensure you have Python installed on your system.
-
Some projects may require additional libraries. Install dependencies using
pip:pip install 66FF <library_name>
-
Consult the individual scripts or folders for specific usage instructions.
-
- Python
- Potentially: NumPy, Pandas, Matplotlib, Scikit-learn, Flask/Django, libraries for specific projects (e.g.,
cairosvg,pynput,selenium, API clients).
The project is organized into three main categories:
- Alpha: Introduces fundamental concepts like data structures, conditional statements, and basic projects.
- Beta: Covers intermediate topics such as file handling, OOP, decorators, and more complex projects.
- Gamma: Focuses on advanced topics, data science, and potentially web development.
Each category contains content (lessons or examples) and projects to apply learned concepts. The individual scripts within each folder implement specific functionalities or demonstrate particular concepts.
Key components include:
- Individual Python scripts for various tasks and projects.
- Supporting data files (e.g., CSV files for data analysis, images for image analysis).
- Potentially client/server architectures (e.g., in
chat-app).
- Limited Documentation: Individual scripts lack detailed in-line documentation.
- Dependency Management: Some projects might require manual installation of dependencies. Consider using a
requirements.txtfile for dependency management. - Code Quality: Potential for inconsistencies in code style and best practices across different scripts.
- Testing: Absence of unit tests for many projects.
- Error Handling: Implement robust error handling in scripts where appropriate.
- Ethical Considerations: Exercise caution when using
keyLogger.pyand related tools.
- This repository is intended as a learning resource.
- Contributions and improvements are welcome.
- Check individual script files for specific licenses or attributions (if any).