Python

In this course, I will teach you:

Introduction to Python

• Setting up Python on your computer and understanding the Python environment.
• Master Python syntax, variables, and basic data types (strings, integers, lists, tuples, dictionaries, etc.)
• Learn how to work with functions, loops, and conditionals to control the flow of your program.

Advanced Data Structures

• Dive deeper into Python’s built-in data structures such as sets, stacks, queues, and more.
• Learn how to handle large datasets efficiently using Python.

Object-Oriented Programming (OOP)

• Understand and apply object-oriented programming concepts like classes, objects, inheritance, polymorphism, and encapsulation.
• Build reusable and modular code using OOP principles.

File Handling and I/O Operations

• Learn how to read from and write to text files, CSV files, and more.
• Work with Python’s powerful libraries for file handling and parsing data.

Working with Libraries and Frameworks

• Learn how to use popular Python libraries like NumPy, Pandas, Matplotlib, and Requests for data manipulation, visualization, and web scraping.
• Understand how to install and manage external packages using pip.

Web Development with Python

• Get an introduction to web development using Flask and Django, two of the most popular Python web frameworks.
• Build dynamic web applications, handle HTTP requests, manage databases, and deploy websites.

Introduction to Data Science

• Learn the basics of Data Science using Python, including data analysis and visualization with libraries like Pandas and Matplotlib.
• Understand how to preprocess data, perform statistical analysis, and create visualizations that communicate insights effectively.

Working with APIs

• Learn how to interact with external APIs to fetch and send data.
• Understand how to use RESTful APIs and make HTTP requests using Python’s requests library.

Automation and Scripting

• Automate repetitive tasks and process large sets of data with Python scripts.
• Write scripts for web scraping, file management, data extraction, and more.

Error Handling and Debugging

• Learn how to handle errors gracefully with try-except blocks.
• Use debugging techniques and tools to troubleshoot and improve your code.

Testing Python Code

• Understand the importance of unit testing and learn how to write and run tests for your Python applications using unittest.

Project-Based Learning

Apply everything you’ve learned to build real-world projects, such as

• A to-do list app
• A web scraper to collect data from websites
• A data analysis project using real-world datasets
• A simple web application using Flask or Django