Python Courses


Day 1: Introduction to Python

  • Overview of Python programming language.
  • Installing Python and setting up the development environment.
  • Running Python scripts using command line and IDEs.
  • Basic syntax, variables, and data types in Python.

Day 2: Control Flow

  • Introduction to conditional statements (if, elif, else).
  • Looping constructs: for loops and while loops.
  • Using break and continue statements.
  • Practical exercises to reinforce understanding.

Day 3: Functions and Modules

  • Defining and calling functions.
  • Parameters and return values.
  • Scope of variables.
  • Introduction to modules and importing them.
  • Organizing code into modules for better readability and reusability.

Day 4: Data Structures Part I – Lists and Tuples

  • Understanding lists and their operations (slicing, appending, extending, etc.).
  • Working with tuples and their immutability.
  • List comprehensions for concise code.
  • Practical exercises to work with lists and tuples.

Day 5: Data Structures Part II – Dictionaries and Sets

  • Introduction to dictionaries and their key-value pairs.
  • Common dictionary operations (adding, accessing, deleting items).
  • Sets and their unique properties (no duplicate elements, mathematical operations).
  • Hands-on exercises to manipulate dictionaries and sets.

Day 6: File Handling

  • Reading from and writing to text files.
  • Using the open() function with different modes.
  • Error handling with try-except blocks.
  • Working with file objects and methods.
  • Practical exercises to work with file I/O.

Day 7: Object-Oriented Programming (OOP) Basics

  • Introduction to OOP concepts: classes and objects.
  • Defining attributes and methods in a class.
  • Creating instances of a class.
  • Encapsulation, inheritance, and polymorphism.
  • Hands-on practice with simple class definitions.

Day 8: Advanced OOP Concepts

  • Understanding inheritance and method overriding.
  • Working with multiple inheritance.
  • Using special methods (dunder/magic methods).
  • Class and static methods.
  • Practical exercises to implement advanced OOP concepts.

Day 9: Exception Handling and Debugging

  • Handling exceptions using try-except blocks.
  • Raising custom exceptions.
  • Debugging techniques and tools (print statements, debugging in IDEs).
  • Using logging module for effective debugging.
  • Debugging practical exercises.

Day 10: Introduction to Python Libraries and Conclusion

  • Overview of popular Python libraries (NumPy, Pandas, Matplotlib, etc.).
  • Installing and importing libraries.
  • Basic usage examples of selected libraries.
  • Recap of the course content.
  • Next steps and resources for further learning.

Each day can include a mix of theory sessions, hands-on coding exercises, quizzes, and practical examples to reinforce learning. Additionally, encourage students to work on mini-projects or assignments to apply their newly acquired Python skills.

Course Details:

  • Duration: 10 days
  • Format: Interactive sessions, hands-on exercises, Q&A sessions, interview questions
  • Requirements: Basic computer skills, access to a computer/laptop with internet connection
  • Certification: Certificate of completion provided upon finishing the course
  • Result: Complete 1 python projects simultaneously as part of the exercise.
14+ years of Coding Experience
300+ Websites made
20+ Students Taught

Don’t miss this opportunity to become a Python expert in just 10 days! Enroll now and unlock endless possibilities for your online presence.