Practical Python Projects

Categories: Development & Programming

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Course Content

UNIT 1: Python Project Design & Development Basics

Review of Python fundamentals: syntax, control flow, functions, modules
Software project structure in Python
Virtual environments and dependency management
Writing reusable and modular code
Documentation and PEP 8 style guidelines
Using Git and GitHub for version control
Agile and project workflow introduction

UNIT 2: File I/O and Data Processing Projects

UNIT 3: Data Analysis & Visualization Projects

UNIT 4: Web Scraping and Automation Projects

UNIT 5: Database and Backend Integration

UNIT 6: Web Development and APIs

UNIT 7: Machine Learning & AI Mini Projects

UNIT 8: Automation & System Tools Projects

UNIT 9: Capstone Projects (Industry-Aligned)

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Course Content

UNIT 1: Python Project Design & Development Basics

Review of Python fundamentals: syntax, control flow, functions, modules

Software project structure in Python

Virtual environments and dependency management

Writing reusable and modular code

Documentation and PEP 8 style guidelines

Using Git and GitHub for version control

Agile and project workflow introduction

UNIT 2: File I/O and Data Processing Projects

Working with text, CSV, Excel, JSON, and XML files

File automation: batch renaming, sorting, and organizing

Parsing large datasets efficiently

Using os, shutil, and pathlib for directory management

Data serialization with pickle

UNIT 3: Data Analysis & Visualization Projects

Data manipulation using NumPy and Pandas

Cleaning and transforming data

Descriptive statistics and exploratory analysis

Visualization using Matplotlib and Seaborn

Real-time plotting with Plotly and Dash

UNIT 4: Web Scraping and Automation Projects

Web scraping fundamentals using requests and BeautifulSoup

Automating browser tasks using Selenium

API consumption using requests and JSON parsing

Task scheduling and automation scripts (using schedule and cron)

Data collection from multiple web sources

UNIT 5: Database and Backend Integration

Working with SQLite, MySQL, and PostgreSQL in Python

CRUD operations using sqlite3 and SQLAlchemy

Object Relational Mapping (ORM) concepts

Connecting Python scripts with databases

Storing, updating, and retrieving structured data

UNIT 6: Web Development and APIs

Introduction to Flask web framework

Building REST APIs

Handling HTTP requests and routes

Integrating HTML templates with Flask

Deploying Python web apps locally and on cloud platforms

UNIT 7: Machine Learning & AI Mini Projects

Introduction to Scikit-learn library

Data preprocessing and model training

Classification, regression, and clustering basics

Model evaluation metrics and visualizations

Using Jupyter Notebooks for experiment tracking

UNIT 8: Automation & System Tools Projects

Automating emails and reports using smtplib

File backup and synchronization tools

Command-line interface (CLI) tools

Error handling, logging, and notifications

Packaging Python projects for distribution

UNIT 9: Capstone Projects (Industry-Aligned)

IoT Data Dashboard (API + Visualization)

AI Chatbot using Flask and NLP

Python Automation for Excel & Email Reports

Image Recognition using OpenCV and Scikit-learn

Predictive Analytics for Stock Market Trends

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