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This repository includes course materials, code examples, assignments, and projects for the Python Programming batch starting 23rd June 2025. Designed for beginners to intermediate learners, it covers core concepts, real-world use cases, and hands-on practice. Ideal for students, educators, and professionals.

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ShaliniVerma21/Python-Batch-23rd-June-2025-B5-MW

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🐍 Python-Batch-23rd-June-2025

Python Programming

🎓 A complete roadmap to becoming a Python Developer or Data Analyst with real-world projects, guided sessions, and hands-on experience — starting 23rd-June 2025.


📘 Overview

Welcome to the Python-Programming-Batch-23rd-June-2025!
This repository is your go-to learning hub for mastering Python programming from scratch to advanced level with a focus on Data Analytics, Software Development, and Automation.

You'll find:

  • ✅ Full course curriculum (beginner to intermediate)
  • ✅ Code examples & project files
  • ✅ Assignments, quizzes, and exercises
  • ✅ Hands-on real-world mini-projects

🎯 Ideal For

This repository is perfect for:

👤 Profile 💡 Purpose
👨‍🎓 Students Build strong Python foundations
💼 Data Analysts Automate, clean, and analyze data
👩‍🏫 Educators/Trainers Use structured material to teach
🧠 Beginners & Intermediates Upgrade coding logic & problem-solving
👩‍💻 Python Developers Strengthen core programming concepts

📚 What You’ll Learn

🧱 Core Python Programming

  • Variables, Keywords, Data Types
  • Operators, Conditional Statements
  • Loops (for, while), Control Flow
  • Functions (built-in, user-defined, lambda)
  • Recursion & Pythonic logic

🧮 Data Structures

  • Lists, Tuples, Sets, Dictionaries
  • Slicing, Comprehensions
  • Iterators & Generators

📂 File Handling & Exception Management

  • Text, CSV, JSON File I/O
  • Try, Except, Finally Blocks
  • Custom Exceptions

📦 Modules & OOP

  • Creating & importing modules
  • Packages and __init__.py
  • Classes, Objects, Inheritance
  • Encapsulation, Abstraction, Polymorphism

🔬 Real-World Applications

  • Data Analysis using pandas, numpy
  • Visualization with matplotlib, seaborn
  • Web Scraping (requests, BeautifulSoup)
  • Automating tasks using Python scripts

🧪 Repository Structure

📂 Python-Programming-Batch-10th-June-2025/ │

├── 📁 01_Daywise_Class_Notes/

├── 📁 02_Assignments_and_Quizzes/

├── 📁 03_Code_Examples/

├── 📁 04_Real_World_Projects/

├── 📁 05_Practice_Problems/

└── 📄 README.md


🚀 Highlight Projects

These mini-projects will boost your confidence and make your portfolio stand out:

  • 📊 Student Marks Analyzer – analyze class data using Python
  • 📁 File Organizer – automate folder arrangement
  • 📉 Sales Data Dashboard – visualize business insights
  • 🔎 Job Listings Scraper – collect & process job data
  • 🗓️ Email & Calendar Scheduler – automate daily reminders

🔧 Tools & Tech Stack

  • 🐍 Python 3.x
  • 🧪 Jupyter Notebook / VSCode / PyCharm
  • 📦 Libraries: pandas, numpy, matplotlib, seaborn, os, datetime, requests, beautifulsoup4, random

✨ Key Benefits

  • 📚 Structured course content for focused learning
  • 👨‍💻 Real coding problems from industry use cases
  • 🔁 Day-wise progress tracking
  • 🧠 Builds strong logic for interviews and job roles
  • 💡 Learn by doing – no boring theory-only approach
  • 💻 Resume-worthy portfolio projects included

🧑‍🏫 About the Trainer

👩‍💻 Shalini Verma
🚀 Full Stack Trainer | 📊 Data Analyst | 🐍 Python Developer | 🎤 Corporate Mentor
📺 Follow for updates, live tutorials & tips: YouTube: AlphaMode


🤝 How to Participate / Contribute

  • ✅ If you’re a batch student, sync regularly for updated content.
  • 🛠️ Found an issue or want to contribute? Open a Pull Request or Raise an Issue.
  • 💬 Join discussions and learn together!

📌 License

This repository is for educational use only.
© 2025 Shalini Verma. All rights reserved.


🌟 If you found this helpful, don’t forget to give it a ⭐ and share with your network!

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This repository includes course materials, code examples, assignments, and projects for the Python Programming batch starting 23rd June 2025. Designed for beginners to intermediate learners, it covers core concepts, real-world use cases, and hands-on practice. Ideal for students, educators, and professionals.

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