Active Course

Python Programming

4 to 6 Months
Mode: Offline Classroom Training
Certificate included
Expert instructor

About this course

A comprehensive course in Python programming covering syntax basics, data structures, object-oriented programming (OOP), file & exception handling, database connectivity, web dev basics, data analysis, and AI scripting.

Course Curriculum

• Python Fundamentals • Introduction to Python • Features of Python • Installing Python • Python IDEs (VS Code, PyCharm & Jupyter Notebook) • Running Python Programs • Python Syntax • Comments • Variables • Data Types • Type Conversion • Input & Output • Operators • Keywords • Indentation • Career Opportunities in Python

• Decision Making • Conditional Statements • if Statement • if-else Statement • Nested if • elif Statement • Match Case (Introduction) • Logical Operators • Comparison Operators • Loops • for Loop • while Loop • Nested Loops • Loop Control Statements • break • continue • pass • Range Function • Pattern Programming • Functions • Creating Functions • Function Arguments • Return Statement • Default Arguments • Keyword Arguments • Variable Length Arguments • Lambda Functions • Recursive Functions • Scope of Variables • Docstrings

• Python Collections • Strings • String Operations • String Methods • Lists • List Methods • Tuples • Sets • Dictionaries • Nested Collections • List Comprehensions • Dictionary Comprehensions • Iterators • Generators

• OOP Concepts • Classes & Objects • Constructors • Instance Variables • Class Variables • Methods • Encapsulation • Inheritance • Polymorphism • Method Overriding • Method Overloading (Concept) • Abstraction • Interfaces (Concept) • Static Methods • Class Methods • Magic Methods

• File Management • Reading Files • Writing Files • Appending Files • File Modes • CSV Files • JSON Files • Working with Excel Files • File System Operations • Exception Handling • Exception Types • try • except • else • finally • raise • Custom Exceptions • Debugging Techniques • Logging Basics

• Python Modules • Importing Modules • Creating Modules • Python Packages • pip Package Manager • Virtual Environments • Requirements File • Package Installation • Code Organization • Popular Libraries • math • random • datetime • os • sys • pathlib • shutil • collections • itertools • requests

• Database Connectivity • Introduction to Databases • SQLite • MySQL Connectivity • Python Database APIs • CRUD Operations • SQL Queries • Transactions • Parameterized Queries • Database Error Handling • Database Best Practices

• Backend Development • Introduction to Flask • Flask Routing • Templates • Forms • Jinja2 • Static Files • Sessions • Authentication Basics • REST API Development • JSON APIs • Django (Introduction) • Django Installation • Django Project Structure • Models • Views • Templates • URL Routing • Admin Panel • Forms • Authentication • CRUD Application

• Data Analytics • NumPy Fundamentals • Pandas Fundamentals • DataFrames • Data Cleaning • Data Transformation • Data Visualization • Matplotlib • Seaborn • CSV & Excel Analysis • Exploratory Data Analysis (EDA)

• Python Automation • Web Scraping Basics • BeautifulSoup • Selenium • Email Automation • PDF Processing • Excel Automation • File Automation • Task Scheduling • API Integration • JSON Processing • AI Integration • Introduction to AI with Python • OpenAI API • Google Gemini API • AI Chatbots • AI Text Generation • AI Image Processing • AI Data Analysis • AI Productivity Tools • Prompt Engineering Basics • AI Workflow Automation

• Software Development • Debugging • Unit Testing • unittest Framework • Code Documentation • Code Optimization • Virtual Environments • Project Structure • Git & GitHub Integration • Packaging Python Applications • Deployment Basics

Hands-on Projects

Student Management System
Library Management System
Banking Application
Inventory Management System
Expense Tracker
Web Scraper
REST API using Flask
Employee Management System
Data Analysis Dashboard
AI Chatbot Application
Automation Tool
Python Business Management System
File Management Utility
End-to-End Python Application

Key Skills Covered

  • Python Syntax & Logic
  • Data Structures (Lists, Dicts, Sets)
  • Object-Oriented Programming (OOP)
  • File I/O & Exception Handling
  • SQLite & PostgreSQL Database Integration
  • Web Scraping & API Integration
  • Automation Scripting & AI Tools

Technologies Covered

Python VS Code PyCharm Jupyter Notebook Google Colab NumPy Pandas Matplotlib Seaborn Flask Django SQLite MySQL REST APIs JSON Requests BeautifulSoup Selenium Git GitHub OpenAI API Google Gemini API AI-Assisted Development

Course Details

Duration

4 to 6 Months

Certificate

Upon completion

Start Date

Flexible

Instructor

CDC Training Services Pvt.Ltd