Python Power Boost: A 5-Day Journey from Beginner to Advanced

Python is a programming language that lets you work quickly and integrate systems more effectively. It is a general purpose language used in data analytics as well as programming. Learn fast and well from an experienced instructor. Inquire or book your training today.

Day 1: Introduction to Python Basics

• Installing Python and setting up the development environment (IDE, text editor or Jupyter).

• Introduction to variables and data types (integers, floats, strings,

  booleans).

• Basic input and output using print() and input() functions.

• Simple calculations and arithmetic operations.

• Hands-on exercises: Write programs to perform basic calculations and interact with users.

Day 2: Control Flow and Functions

• Introduction to control flow: if statements, else statements, and elif clauses.

• Looping with for and while loops.

• Using indentation to define code blocks in Python.

• Introduction to functions: defining and calling functions.

• Parameters and return values in functions.

• Scope of variables (local vs. global).

• Hands-on exercises: Write programs with conditional statements, loops, and simple functions.

Day 3: Data Structures and File Handling

• Lists: creating, indexing, slicing, and modifying lists.

• Tuples and their immutability.

• Sets: unique elements and set operations.

• Dictionaries: key-value pairs and dictionary methods.

• Reading from and writing to text files.

• Exception handling using try-except blocks.

• Hands-on exercises: Create programs to manipulate different data structures and handle files.

Day 4: Object-Oriented Programming (OOP)

• Introduction to object-oriented programming (OOP) concepts.

• Classes and objects: creating classes and instances.

• Attributes and methods in classes.

• Encapsulation, inheritance, and polymorphism.

• Overriding methods and using super().

• Using OOP for real-world problem-solving.

• Hands-on exercises: Design and implement classes, and practice OOP principles.

Day 5: Advanced Topics and Beyond

• Working with modules and packages.

• Introduction to built-in modules (e.g., datetime, random).

• Virtual environments and project structure.

• Introduction to libraries like NumPy and pandas for data manipulation.

• Brief overview of web scraping, APIs, or GUI programming (choose based on participant interests).

• Discussion on best practices, code readability, and debugging techniques.

• Q&A session, course wrap-up, and sharing resources for continued learning.