🐍 Python Programming - Complete Core Python Repository

Welcome to my comprehensive Python programming repository! This collection contains 82 well-organized, clean, and beginner-friendly Python programs covering all core concepts from basics to advanced topics. Built as part of my journey to becoming a Data Analyst, with special focus on data structures, file handling, and practical problem-solving skills essential for data analysis.

📖 About

This repository is a comprehensive collection of 82 Python programs that I developed while learning Python programming. It represents my journey from beginner to advanced level, covering all essential concepts needed to build a strong foundation in Python.

As an aspiring Data Analyst, I created this repository to:

📊 Document my Python learning journey with focus on data manipulation
🎯 Practice core programming concepts essential for data analysis
💼 Build a portfolio demonstrating Python proficiency for Data Analyst roles
🤝 Help other learners with clean, understandable code
📈 Master data structures (lists, dictionaries, sets) crucial for data processing
📁 Develop file handling skills for working with datasets
🔍 Practice problem-solving and algorithmic thinking

Why This Repository Matters for Data Analysts:

Data Structures (03_Data_Structures): 10 programs covering lists, dictionaries, sets, tuples - the foundation of data manipulation
File Operations (09_File_Operations): Essential for reading/writing datasets (CSV, text files)
Functions (04_Functions): Creating reusable code for data processing pipelines
OOP (05_OOP): Organizing complex data analysis projects
Exception Handling (06_Advanced): Writing robust data scripts that handle errors gracefully

All programs are:

✅ Written in clean, readable Python code following PEP 8 standards
✅ Organized in 10 logical categories (Basics → Advanced)
✅ Beginner-friendly with clear logic and comments
✅ Ready to run and modify for your own projects
✅ Focused on practical skills needed in data analysis roles

📁 Repository Structure

Python-Programming/
│
├── 01_Basics/                  # 6 programs - Basic Python fundamentals
├── 02_Control_Flow/            # 16 programs - Conditionals, loops, branching
├── 03_Data_Structures/         # 10 programs - Lists, dicts, sets, tuples, strings
├── 04_Functions/               # 12 programs - Functions, lambda, recursion, decorators
├── 05_OOP/                     # 13 programs - Classes, inheritance, polymorphism
├── 06_Advanced/                # 10 programs - Threading, generators, exceptions, databases
├── 07_Patterns/                # 10 programs - Star, number, alphabet patterns
├── 08_Projects/                # 2 programs - ATM System, Library Management
├── 09_File_Operations/         # 2 programs - File handling and I/O
├── 10_GUI/                     # 1 program - Tkinter calculator
└── README.md                   # Documentation

🗂️ Program Categories

📘 01_Basics (6 Programs)

Core Python fundamentals and building blocks

input.py - Variables, data types, input/output, area calculations (circle, rectangle, square, triangle)
cardemobye.py - Car showroom program with discount and GST calculations
marks.py - Student marks calculator and grade evaluation
palindrome.py - Palindrome number checker using loops
Prefect-Armstrong-Palindrome-wajid.py - Perfect number, Armstrong number, and palindrome checker
swapping.py - Variable swapping techniques with and without temp variable

🔁 02_Control_Flow (16 Programs)

Mastering conditionals, loops, and branching statements

conditional.py - All 4 conditional types: simple if, if-else, if-elif-else, nested if
if_else_basic.py - Basic if-else statement examples
while_for.py - Calculator implementation using while loops
while_l.py - While loop demonstrations
while_loop1.py to while_loop4.py - Various while loop patterns and examples
for-while-loop.py - Comparison between for and while loops
for_loop_copy.py - For loop practice programs
for_loop_examples.py - Repeated number counting using for loops
Branching_Statements-wajid.py - break, continue, pass statements
atm_basic.py - Basic ATM system using control flow
percentage_calc.py - Percentage calculator
table_sum.py - Multiplication table with sum calculation
username_password.py - Login authentication system

📊 03_Data_Structures (10 Programs) ⭐ Essential for Data Analysts

Working with Python's built-in data structures

list.py - Interactive shell demo: append, extend, sort, reverse, pop, count, index
list_operations.py - List CRUD operations and methods
list_operations_and_patterns.py - Combined list operations with pattern printing
dynamic_list_modification.py - Conditional list modification techniques
Dictionary.py - Dictionary basics and operations
tuple_operations.py - Tuple methods and immutable sequence operations
set_operations.py - Set operations: add, union, intersection, difference
String-wajid.py - String methods: capitalize, find, format, split, join, replace
reference_types.py - Understanding reference vs value types in Python
Repeated_no_count_without_list_func-wajid.py - Counting repeated numbers without built-in functions

🔧 04_Functions (12 Programs) ⭐ Data Processing Skills

Functions, lambda expressions, and code modularity

Function-wajid.py - Basic function definitions and calls
function_args.py - Function arguments and parameters
function_arguments.py - Positional, keyword, default, and arbitrary arguments
arbitrary_args.py - *args and **kwargs demonstrations
calculator.py - Calculator implementation using functions
Atm_Function-wajid.py - ATM system built with functions
basic_functions_and_sorting.py - Functions with tuple sorting
recursion_and_lambda.py - Factorial recursion, lambda, filter, map functions
Lamda_func-wajid.py - Lambda function examples
factorial_recursion.py - Recursive factorial implementation
fun_overloading.py - Function overloading concepts
closures_and_decorators.py - Nested functions, closures, and decorators

🎯 05_OOP (13 Programs)

Object-Oriented Programming concepts and principles

oops_basic.py - OOP fundamentals: classes and objects
Class_&_Object.py - Classes with init, methods, and attributes
class_methods.py - Static methods, instance methods, class methods
static_methods.py - Static method implementations
inheritance_basic.py - Single and multilevel inheritance with super()
inheritance_polymorphism.py - All 4 inheritance types + polymorphism
Inheritance-Practice-wajid.py - Inheritance practice exercises
advanced_inheritance.py - Comprehensive inheritance examples
hybrid_inheritance.py - Hybrid inheritance with marks calculation
atm_multiple_inheritance.py - ATM system using multiple inheritance
atm-class_&_obj-wajid.py - ATM system with classes and objects
polymorphism.py - Method overriding and polymorphism
polymorphism_and_overloading.py - Operator overloading and polymorphism

🚀 06_Advanced (10 Programs) ⭐ Professional Development Skills

Advanced Python concepts for professional development

Iterator_and_Generator-wajid.py - Custom iterators using iter and next
generator_yield.py - Generator functions with yield keyword
Exception_Handling-wajid.py - Exception handling with try-except-finally
custom_exceptions.py - Creating custom exception classes
number_guessing_game.py - Game with custom exception handling
thread_basics.py - Threading fundamentals
thread_multithread.py - Multithreading implementation
socket_networking.py - Socket programming for network communication
database_connectivity.py - SQLite database connection and operations
database_register.py - User registration system with database

⭐ 07_Patterns (10 Programs)

Pattern printing for logic building and interview preparation

pyramid_basic.py - Basic pyramid patterns
pyramid_advanced.py - Advanced pyramid structures
pyramid_while.py - Pyramids using while loops
alphabet_triangle.py - Alphabet triangle patterns with visual outputs
patterns_alphabet_triangles.py - Collection of alphabet patterns
triangle_and_pyramid_patterns.py - Upper/lower triangles, mixed patterns
mixed_triangle_patterns.py - Multiple triangle variations
number_and_star_patterns.py - Incremental number and star patterns
chr_pyramid.py - Character pyramids using chr() function
chr_triangle_while.py - Character triangles with while loops

💼 08_Projects (2 Programs)

Complete mini-projects demonstrating real-world applications

atm_project.py - Complete ATM banking system with file receipts, PIN validation, menu-driven interface, time module integration
library_Mgt_System.py - Library management system with book operations

📁 09_File_Operations (2 Programs) ⭐ Critical for Data Analysts

File handling and I/O operations - Essential for working with datasets

file_handling_basic.py - Read, write, append modes with student information storage
File_Handling-wajid.py - File operations with practical examples

🖥️ 10_GUI (1 Program)

Graphical User Interface development

simple_calculator.py - Tkinter-based calculator with GUI widgets and event handling

📊 Data Analyst Focus Areas

This repository emphasizes skills crucial for Data Analyst roles:

🎯 Core Data Skills Covered:

Data Structures (03_Data_Structures)
- Lists: append, extend, sort, filter, comprehensions
- Dictionaries: key-value operations, data lookup
- Sets: unique values, intersections, unions
- Strings: parsing, cleaning, manipulation
- Why it matters: Foundation of data manipulation in pandas
File Handling (09_File_Operations)
- Reading data files
- Writing processed results
- File modes and operations
- Why it matters: Working with CSV, text, and JSON files
Functions & Modularity (04_Functions)
- Reusable data processing functions
- Lambda functions for data transformation
- Map, filter, reduce operations
- Why it matters: Building data pipelines
Exception Handling (06_Advanced)
- Try-except for robust scripts
- Custom exceptions for data validation
- Why it matters: Handling missing or invalid data gracefully
Control Flow (02_Control_Flow)
- Conditional logic for data filtering
- Loops for data iteration
- Why it matters: Processing datasets programmatically

🚀 Getting Started

Prerequisites

Python 3.x installed on your system (Download Python)
Basic understanding of programming concepts
A code editor (VS Code, PyCharm, Sublime Text, or any text editor)

Installation

Clone the repository

git clone https://github.com/wajiddaudtamboli/Python-Programming.git

Navigate to the project directory
```
cd Python-Programming
```
You're ready to run programs!
```
python 01_Basics/input.py
```

💻 Usage

Running Individual Programs

Navigate to any category folder and run the desired program:

# Example: Work with data structures (Important for Data Analysts!)
cd 03_Data_Structures
python list_operations.py

# Example: Run calculator using functions
cd 04_Functions
python calculator.py

# Example: Run pattern program
cd 07_Patterns
python pyramid_advanced.py

# Example: Run OOP example
cd 05_OOP
python inheritance_polymorphism.py

# Example: Try ATM project
cd 08_Projects
python atm_project.py

# Example: File handling practice
cd 09_File_Operations
python file_handling_basic.py

Modifying Programs

All programs are designed to be easily modifiable:

Open any .py file in your code editor
Read the program comments and logic
Modify the code as needed for practice
Run and test your changes

📚 Learning Roadmap

Recommended Learning Path for Aspiring Data Analysts:

Week 1-2: Basics & Control Flow
├── 01_Basics           → Understand variables, I/O, basic operations
└── 02_Control_Flow     → Master if-else, loops, branching

Week 3-4: Data Structures (CRITICAL!)
└── 03_Data_Structures  → Deep dive into lists, dicts, sets, strings

Week 5-6: Functions & Patterns
├── 04_Functions        → Write reusable code, lambda functions
└── 07_Patterns         → Practice logic building

Week 7-8: OOP & File Operations
├── 05_OOP              → Organize code with classes
└── 09_File_Operations  → Read/write data files

Week 9-10: Advanced Topics & Projects
├── 06_Advanced         → Exceptions, threading, databases
└── 08_Projects         → Build complete applications

Optional: GUI Development
└── 10_GUI              → Create desktop applications

Focus Areas for Data Analyst Roles:

Must Master:

Data Structures (03_Data_Structures) - 80% of data work
File Operations (09_File_Operations) - Reading datasets
Functions (04_Functions) - Data processing pipelines

Should Know: 4. Control Flow (02_Control_Flow) - Data filtering logic 5. Exception Handling (06_Advanced) - Robust scripts

Good to Have: 6. OOP (05_OOP) - Organize larger projects 7. Basics (01_Basics) - Foundation

🤝 Contributing

Contributions are welcome! If you'd like to improve any program or add new ones:

Fork the repository
Create your feature branch (git checkout -b feature/NewProgram)
Commit your changes (git commit -m 'Add: New data processing program')
Push to the branch (git push origin feature/NewProgram)
Open a Pull Request

Contribution Guidelines

Follow PEP 8 coding standards
Add clear comments and documentation
Keep code beginner-friendly
Test your code before submitting
Add programs relevant to data analysis when possible

👨‍💻 Author

Wajid Daud Tamboli
Aspiring Data Analyst

🌐 GitHub: @wajiddaudtamboli
💼 LinkedIn: Wajid Daud Tamboli
📧 Email: wajiddaudtamboli@gmail.com
🎯 Career Goal: Data Analyst
💡 Skills: Python, Data Structures, SQL (learning), Data Analysis (learning)
📊 Focus Areas: Data manipulation, file handling, automation with Python

About Me:
I'm passionate about transforming data into insights! This repository represents my journey of mastering Python programming to become a proficient Data Analyst. Each program here is a step towards building the strong foundation needed for data analysis, including data structure manipulation, file operations, and clean code practices.

Looking for opportunities in:

Data Analyst roles (Entry-level/Junior)
Data Analytics internships
Python automation projects
Data processing and analysis projects

⭐ Show Your Support

If you found this repository helpful, please consider:

⭐ Giving it a star on GitHub
🔀 Forking it for your own learning
📢 Sharing it with others learning Python
💬 Providing feedback or suggestions

📝 License

This collection is for educational purposes. Feel free to:

✅ Use for learning and practice
✅ Modify and experiment with the code
✅ Share with other learners
✅ Use as reference for your projects

📊 Repository Statistics

Total Programs: 82
Categories: 10
Lines of Code: 5,000+
Focus: Data Analyst skills
Level: Beginner to Advanced
Language: Python 3.x

🙏 Acknowledgments

Thanks to the Python community for excellent documentation
Inspired by various online Python tutorials and data analysis courses
Special thanks to everyone who contributes to open-source learning
Gratitude to mentors and peers who supported my learning journey

📞 Contact & Collaboration

Interested in collaborating or have questions?

GitHub Issues: Report bugs or suggest features
Email: wajiddaudtamboli@gmail.com
LinkedIn: Connect with me for professional networking

🌟 Happy Coding & Data Analyzing! 🌟

Made with ❤️ by Wajid Daud Tamboli

Building a strong Python foundation for Data Analysis

⬆ Back to Top

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
01_Basics		01_Basics
02_Control_Flow		02_Control_Flow
03_Data_Structures		03_Data_Structures
04_Functions		04_Functions
05_OOP		05_OOP
06_Advanced		06_Advanced
07_Patterns		07_Patterns
08_Projects		08_Projects
09_File_Operations		09_File_Operations
10_GUI		10_GUI
README.md		README.md

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