Our Python Training program offers a comprehensive and hands-on approach to learning one of the most versatile and popular programming languages. Whether you’re a beginner taking your first steps into programming or an experienced developer looking to expand your skill set, this program will equip you with the essential knowledge and practical skills to become proficient in Python. From basic syntax to advanced topics, you’ll gain a deep understanding of Python’s capabilities and applications.

“Python is the language that never says ‘no.’ If you can dream it, Python can help you build it.” Brandon Rhodes, Python Core Developer

Here is a comprehensive list of course topics for a Python Training program:

Module 1: Introduction to Python
  1. History and Features of Python
  2. Installing and Setting Up Python
  3. Running Python Scripts
  4. Basic Syntax and Data Types
  5. Comments and Documentation
Module 2: Control Structures and Loops
  1. Conditional Statements: if, else, elif
  2. Looping: while and for
  3. Loop Control Statements: break, continue, pass
  4. Iterators and Generators
Module 3: Functions and Modules
  1. Defining and Calling Functions
  2. Function Arguments and Return Values
  3. Scope and Lifetime of Variables
  4. Built-in Functions and Modules
  5. Creating and Using Custom Modules
Module 4: Data Structures
  1. Lists: Creation, Indexing, and Slicing
  2. Tuples and Sets
  3. Dictionaries: Key-Value Pairs
  4. List Comprehensions
Module 5: Strings and Regular Expressions
  1. String Manipulation and Formatting
  2. String Methods and Operations
  3. Regular Expressions and Pattern Matching
Module 6: File Handling and I/O Operations
  1. Working with Text and Binary Files
  2. Reading and Writing Files
  3. Handling Exceptions and Errors
Module 7: Object-Oriented Programming (OOP)
  1. Introduction to OOP Concepts
  2. Creating Classes and Objects
  3. Inheritance and Polymorphism
  4. Encapsulation and Abstraction
Module 8: Python Libraries and Packages
  1. Introduction to Libraries and Packages
  2. Using Built-in Libraries: math, datetime, random, etc.
  3. Exploring External Packages: NumPy, pandas, matplotlib
Module 9: Web Development with Flask (Optional)
  1. Introduction to Web Development
  2. Setting Up a Flask Environment
  3. Creating Routes and Templates
  4. Handling Forms and Data
Module 10: Database Interaction (Optional)
  1. Introduction to Databases
  2. SQL and SQLite with Python
  3. Using an ORM: SQLAlchemy
Module 11: Advanced Topics (Optional)
  1. Decorators and Context Managers
  2. Threading and Concurrency
  3. Lambda Functions and Map-Reduce
  4. Working with APIs and JSON Data
  5. Introduction to Data Science with Python
Module 12: Comprehensive Project
  1. Apply Concepts Learned to Develop a Complete Python Application

Real Time Projects Overview - Python

Experience practical application with our immersive real-time projects, a crucial part of our Python Training. These projects are meticulously designed to provide you with hands-on experience and a deeper understanding of Python programming across various domains. With each project spanning 55 hours, you’ll accumulate a total of 110 hours of immersive project work throughout the course, equipping you with invaluable skills for versatile Python development.

Project 1: Data Analysis and Visualization Project 2: Web Scraping and Automation

In this project, you'll dive into data analysis and visualization using Python. You'll work with real datasets, preprocess and analyze data, and create compelling visualizations to uncover insights. By the end of this project, you'll have a portfolio of visualizations that showcase your data analysis and Python programming skills.

In this project, you'll explore web scraping and automation using Python. You'll develop scripts to extract data from websites, automate repetitive tasks, and generate useful insights from web content. This project will demonstrate your ability to leverage Python for practical automation and data gathering.

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"The Advanced Java course exceeded my expectations. The real-world projects helped me solidify my Java EE skills, and the instructor's insights were invaluable. I've confidently taken on complex enterprise projects since completing the course."
Sara W

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