Python | Project Unthink 1

Python Course: From Beginner to Intermediate

Master Python programming in 5 days through hands-on learning with Jupyter Notebook. Perfect for beginners and those looking to enhance their programming skills.

Course Timeline

Day 1: Introduction to Python Programming and Jupyter Notebook

Topics Covered:

Overview of Python: Uses, benefits, and applications
Installing Python and Jupyter Notebook
Introduction to the Jupyter Notebook interface and best practices
Python basics: Variables, data types, and basic operations
Input, output, and working with strings

Hands-On Practice:

Writing your first Python program in Jupyter Notebook
Formatting and documenting code efficiently within cells

End-of-Day Project

Creating a basic interactive program (e.g., a simple calculator)

Day 2: Control Structures and Functions

Topics Covered:

Conditional statements: if, elif, else
Loops: for and while
Error handling and debugging in Jupyter Notebook
Functions: Definition, parameters, and return values
Scope and namespaces

Hands-On Practice:

Writing a custom function to process user input
Debugging exercises using Jupyter Notebook tools

End-of-Day Project:

Building a simple game (e.g., "Guess the Number")

Day 3: Working with Data Structures

Topics Covered:

Lists, tuples, sets, and dictionaries
List comprehensions and lambda functions
String manipulation and formatting
Iterating through data structures efficiently

Hands-On Practice:

Sorting and filtering data using Python
Creating nested data structures for storage and retrieval

End-of-Day Project:

Writing a program to manage a contact list with CRUD operations (Create, Read, Update, Delete)

Day 4: File Handling and Introduction to Libraries

Topics Covered:

Reading and writing files (text, CSV, JSON)
Using Python libraries: An introduction to NumPy and pandas
Plotting data with matplotlib
Best practices for importing and managing libraries

Hands-On Practice:

Performing basic data analysis with pandas
Visualizing simple datasets with matplotlib

End-of-Day Project:

Creating a program that reads data from a file, processes it, and generates a visualization

Day 5: Final Projects and Advanced Topics

Topics Covered:

Overview of more advanced libraries and tools (e.g., scikit-learn, seaborn)
Writing modular code and organizing projects effectively
Introduction to coding best practices: PEP 8, docstrings, and version control basics
Final project development guidance

Hands-On Practice:

Completing a guided group project (with instructor support)

Final Project Presentation:

Each participant presents an interactive notebook-based project that incorporates skills learned during the course (e.g., a data analysis program, a small game, or an automation script)