7-Day Python Lesson Plan (4 hours per day) ππ β
Day 1: Introduction to Python π β
1. Overview of Python (1 hour) π β
- Python's history and philosophy π°οΈ
- Use cases and applications π‘
- Activity: Group discussion on popular apps built with Python and why Python was chosen for them. π¬
2. Editor Setup and Python Environment (2 hours) π» β
- Installing Python and setting up code editorrs (VS Code, PyCharm, etc.) π οΈ
- Configuring editor settings for Python development βοΈ
- Virtual environments with
venv
andvirtualenv
π
Hands-On ποΈ
Guide students step-by-step to set up Python on their machines, create virtual environments, and write a simple Python script to confirm setup.
3. Python Fundamentals (Part 1) (1 hour) π β
- Basic Data Types and Variables π
- Declaring and using variables π
- Integers, floats, strings, booleans π’π
- Type conversion and casting π
Pair Programming π€
Students will work in pairs to practice declaring different data types and perform conversions, with one student coding and the other guiding.
Day 2: Python Fundamentals (Part 2) π β
1. Getting User Input (1 hour) π€ β
- Reading user input in console π§
- String formatting with user input βοΈ
- Building a simple Python app to interact with users π₯οΈ
Hands-On Activity π οΈ
Have students work individually or in pairs to create a simple interactive script that reads and processes user input, demonstrating how code interacts with user data.
2. Lists, Tuples, and Sets (1.5 hours) π β
- Operations with lists, tuples, and sets π
- Advanced set operations and their use cases π
Coding Exercise π»
Practice creating and manipulating lists, tuples, and sets. Students will complete a set of exercises, including adding/removing elements and performing set operations.
3. Booleans and Conditional Logic (1.5 hours) π β
- Understanding booleans in Python βοΈβοΈ
- Crafting
if
statements for control flow π£οΈ - Using the
in
keyword for membership checks π
Coding Exercise π§©
Write simple programs that utilize boolean expressions and conditional logic to make decisions (e.g., a guessing game).
Day 3: Python Fundamentals (Part 3) π β
1. Loops in Python (2 hours) π β
- Writing
for
andwhile
loops β»οΈ - Nested loops and controlling loop flow π
Pair Programming π€
Students will solve loop-based problems together, switching between coding and guiding roles to understand nested loops and control statements.
2. Introduction to List Comprehensions (2 hours) π β
- Basic list comprehension structure π§©
- Conditional logic within list comprehensions π§
- Performance benefits and readability considerations π
Coding Exercise π οΈ
Refactor existing loop-based code into list comprehensions and discuss the improvements in readability and performance.
Day 4: Python Comprehensions & Structures π§± β
1. List Comprehensions Continued (1 hour) π β
- Nested list comprehensions for complex structures ποΈ
Predict the Output π€
Students will be given nested list comprehensions and asked to predict the output, helping them to understand complex scenarios.
2. Dictionaries (3 hours) π β
- Working with keys, values, and items π
- Dictionary comprehensions πΊοΈ
Coding Exercise π»
Build a small program that uses dictionaries to store and manage data, such as a contact list or an inventory management system.
Day 5: Advanced Data Structures & Strings π§΅ β
1. Destructuring Variables (1.5 hours) π β
- Assigning multiple variables simultaneously π―
- Using destructuring in functions π§
Coding Exercise π οΈ
Practice destructuring with tuples and dictionaries to unpack values and simplify code.
2. Basic String Operations (2.5 hours) βοΈ β
- Concatenation, slicing, and indexing of strings π€
- Case conversion (
upper
,lower
,title
,swapcase
) π
Live Demo π₯
Walk through different string manipulation techniques with examples.
Coding Exercise π»
Students will write code to manipulate and format strings, such as creating a simple sentence generator.
Day 6: Practical Python Application Development ποΈ β
1. Project Setup and Planning (1 hour) π β
- Planning a small project using the learned topics π§
- Break the problem into modules π οΈ
Group Activity π₯
Each group will brainstorm and plan a small project, breaking it down into components and identifying which Python concepts to apply.
2. Building a Simple Python Application (3 hours) π§ β
- Step-by-step coding of a simple app π£οΈ
- Use of loops, conditionals, and data structures π
- Interactive features to get user input π€
Live Coding Session π»
Instructor will guide students through building the project with active participation, explaining best practices and debugging tips.
Day 7: Wrap-Up and Project Completion π β
1. Completing the Python Application (2 hours) π β
- Continue and complete the application started on Day 6 π
- Add features using comprehensions, dictionaries, and more β¨
Pair Programming π€
Students work in pairs to add extra features to their applications, ensuring functionality and improving user experience.
2. Code Review and Testing (1 hour) π β
- Reviewing and refactoring the code π
- Ensuring proper functionality and fixing any bugs π
Live Code Review π§
Instructor will review a few student projects live, demonstrating how to refactor code for readability and maintainability.
3. Summary and Q&A (1 hour) π β
- Recap of all topics covered π
- Open Q&A session for students to clarify concepts and doubts β
Interactive Quiz π
Conduct a quiz covering key topics from the course to reinforce learning.