Complete Python Programming Training

Airaax

• Complete Python Programming Training 1:17:00

  • 1: Module 1 Introduction to Python and Development Environment Setup 06:00
  • 2: Module 2 Python Syntax, Variables and Data Types 05:00
  • 3: Module 3 Operators, Expressions and User Input 05:00
  • 4: Module 4 Conditional Statements and Decision-Making 03:00
  • 5: Module 5 Loops, Iteration and Program Control 04:00
  • 6: Module 6 Strings and Text Processing 04:00
  • 7: Module 7 Lists, Tuples, Sets and Dictionaries 05:00
  • 8: Module 8 Functions, Scope and Functional Programming 08:00
  • 9: Module 9 Modules, Packages and Virtual Environments 05:00
  • 10: Module 10 File Handling, Exceptions and Data Management 05:00
  • 11: Module 11 Object-Oriented Programming with Python 04:00
  • 12: Module 12 Advanced Python Features and Design Patterns 04:00
  • 13: Module 13 Databases, SQL and Python Integration 04:00
  • 14: Module 14 APIs, Web Scraping and Automation 04:00
  • 15: Module 15 Data Analysis, Testing and Performance Optimisation 05:00
  • 16: Module 16 Advanced Projects, Deployment and Final Assessment 05:00
  • 17: Python Programming – Beginner to Advanced Knowledge Assessment 01:00

Python is widely used in software engineering, automation, data science, web development and artificial intelligence. Its readable syntax and extensive ecosystem make it a valuable programming language for beginners and experienced developers alike.

This course follows a progressive learning path, introducing core programming concepts before moving into more complex applications. You will study how to write maintainable code, organise projects, manage data and connect Python programmes with external services. The modules also introduce practical development workflows that help turn individual scripts into more complete software projects.

Module 1: Introduction to Python and Development Environment Setup

Get started with Python and understand where the language is used in modern technology. Explore installation, code editors, integrated development environments, running scripts and preparing a suitable workspace for programming.

Module 2: Python Syntax, Variables and Data Types

Learn how Python code is structured and how to store information using variables. Explore fundamental data types, naming conventions, type conversion and the role of readable syntax in writing clear programmes.

Module 3: Operators, Expressions and User Input

Discover how arithmetic, comparison, logical and assignment operators work. Learn to build expressions, collect input from users and convert values to perform calculations and create interactive scripts.

Module 4: Conditional Statements and Decision-Making

Understand how programmes make decisions using if, elif and else statements. Explore comparison logic, nested conditions and practical examples where a programme responds differently depending on the information it receives.

Module 5: Loops, Iteration and Program Control

Explore for and while loops to repeat instructions efficiently. Learn about iteration, loop control statements and techniques for avoiding unnecessary repetition when processing collections of data.

Module 6: Strings and Text Processing

Work with text in Python through string creation, indexing, slicing and formatting. Examine useful methods for searching, modifying and processing text, including applications such as input validation and basic text analysis.

Module 7: Lists, Tuples, Sets and Dictionaries

Study Python's built-in collection types and how they organise information. Learn when to use lists, tuples, sets and dictionaries, along with indexing, iteration, modification and common operations for managing structured data.

Module 8: Functions, Scope and Functional Programming

Discover how functions make code reusable, organised and easier to maintain. Explore parameters, return values, variable scope, lambda expressions and selected functional programming techniques.

Module 9: Modules, Packages and Virtual Environments

Learn how to divide programmes into separate files and reuse existing functionality. Explore imports, Python packages, package installation and virtual environments for managing dependencies across different projects.

Module 10: File Handling, Exceptions and Data Management

Understand how to read from and write to files using Python. Explore exception handling, common runtime errors, structured data formats and safe approaches to managing information within applications.

Module 11: Object-Oriented Programming with Python

Explore classes, objects, attributes and methods as foundations of object-oriented development. Study inheritance, encapsulation and polymorphism, and understand how these principles can help organise larger software systems.

Module 12: Advanced Python Features and Design Patterns

Move beyond the basics with selected advanced language features, including decorators, generators, iterators and context managers. Explore common software design patterns and consider how they can improve code structure and maintainability.

Module 13: Databases, SQL and Python Integration

Learn how Python applications interact with databases. Explore SQL fundamentals, database connections, queries and data operations, including how to retrieve, insert, update and organise records from Python code.

Module 14: APIs, Web Scraping and Automation

Discover how Python can communicate with external services through APIs. Explore HTTP requests, structured responses, introductory web scraping concepts and automation tasks that reduce repetitive manual work. Consider responsible data collection and website access restrictions.

Module 15: Data Analysis, Testing and Performance Optimisation

Explore introductory data analysis workflows and techniques for working with datasets. Learn about testing, debugging, code quality and performance considerations, including ways to identify bottlenecks and improve programme reliability.

Module 16: Advanced Projects, Deployment and Final Assessment

Bring together your programming knowledge through larger development tasks. Explore project organisation, deployment considerations, documentation and final assessment activities that demonstrate how different Python concepts work together in practical applications.

• Complete beginners who want to learn programming from scratch.

• Students studying computer science, IT or related subjects.

• Aspiring Python developers and software engineers.

• Professionals interested in automating repetitive tasks.

• Learners exploring data analysis and Python-based data processing.

• Web developers interested in APIs, scripting and backend concepts.

• Existing programmers who want to strengthen their Python knowledge.

• Career changers preparing for further study or entry-level technical opportunities.

• No previous Python programming experience is required.

• A computer running Windows, macOS or Linux is recommended.

• An internet connection is useful for downloading Python and development tools.

• Basic computer literacy will help learners navigate the development environment.

• An interest in logical thinking, problem-solving and practical coding is beneficial.

Python knowledge can support progression towards roles such as junior Python developer, software developer, automation specialist, data analyst or backend development trainee. Professional positions may require additional experience, portfolio projects and specialist skills.