Python in 30 Days
Course Outline
Day 1:
Introduction to Python Programming
- Objective:
Understand the basics of Python programming, installation, and setup.
- Outcome:
Students should be able to install Python, write, and execute a basic
Python script.
- Exercise:
Install Python and run a simple "Hello, World!" program.
Day 2: Python
Syntax and Variables
- Objective:
Learn the syntax of Python, including indentation and basic variable
types.
- Outcome:
Students will understand Python syntax and be able to create and use
variables.
- Exercise:
Create variables of different types (integer, float, string) and print
them.
Day 3: Data
Types and Type Casting
- Objective:
Learn about Python data types (int, float, str, list, tuple, etc.) and
type conversion.
- Outcome:
Students will be able to define variables with different data types and
convert between types.
- Exercise:
Create variables with different types and demonstrate type casting.
Day 4: Operators
in Python
- Objective:
Understand the use of operators (arithmetic, comparison, logical, etc.).
- Outcome:
Students will be able to use various operators in expressions.
- Exercise:
Write expressions using different types of operators (e.g., +, -, *, /,
==, >).
Day 5:
Conditional Statements
- Objective:
Learn how to implement control flow using
if,else, andelif. - Outcome:
Students will understand and apply conditional logic in Python.
- Exercise:
Write a program that checks if a number is positive, negative, or zero.
Day 6: Loops in
Python
- Objective:
Learn to use
forandwhileloops. - Outcome:
Students will be able to write loops to iterate over sequences.
- Exercise:
Create a program to print numbers 1 to 10 using both
forandwhileloops.
Day 7: Functions
in Python
- Objective:
Understand how to define and call functions in Python.
- Outcome:
Students will be able to create simple functions and return values.
- Exercise:
Write a function to calculate the factorial of a number.
Day 8: Lists in
Python
- Objective:
Learn about lists, list operations, and indexing.
- Outcome:
Students will be able to create and manipulate lists.
- Exercise:
Create a list of numbers and find the sum and average of the elements.
Day 9: List
Methods and Slicing
- Objective:
Explore common list methods like
append(),remove(),pop(), and list slicing. - Outcome:
Students will be able to modify lists and extract sublists.
- Exercise:
Perform various list operations such as adding, removing, and slicing
elements.
Day 10: Tuples
in Python
- Objective:
Learn about tuples and their differences from lists.
- Outcome:
Students will understand the immutability of tuples and how to work with
them.
- Exercise:
Create and manipulate tuples, accessing elements and slicing.
Day 11:
Dictionaries in Python
- Objective:
Understand dictionaries and how to store key-value pairs.
- Outcome:
Students will be able to create and manipulate dictionaries.
- Exercise:
Write a program that stores student names and their grades in a
dictionary.
Day 12: Sets in
Python
- Objective:
Learn about sets and their unique properties.
- Outcome:
Students will be able to create and perform set operations (union,
intersection).
- Exercise:
Create a set and perform union and intersection operations.
Day 13: String
Manipulation
- Objective:
Understand string methods like slicing, concatenation, and formatting.
- Outcome:
Students will be able to manipulate strings efficiently.
- Exercise:
Write a program to reverse a string and count occurrences of a substring.
Day 14: File
Handling in Python
- Objective:
Learn to open, read, write, and close files.
- Outcome:
Students will be able to perform basic file operations in Python.
- Exercise:
Write a program that reads from a text file and counts the number of
lines.
Day 15:
Exception Handling
- Objective:
Understand how to handle errors using
try,except, andfinally. - Outcome:
Students will be able to manage exceptions and prevent program crashes.
- Exercise:
Write a program that handles division by zero and file not found errors.
Day 16: Modules
and Packages
- Objective:
Learn how to create and import modules and packages.
- Outcome:
Students will be able to organize code into reusable modules.
- Exercise:
Create a simple module with functions and import it in another file.
Day 17:
Object-Oriented Programming (OOP) Introduction
- Objective:
Understand the basics of classes and objects in Python.
- Outcome:
Students will be able to create simple classes and objects.
- Exercise:
Define a class
Personwith attributesnameandage, and instantiate objects.
Day 18: Class
Methods and Constructors
- Objective:
Learn about constructors (
__init__) and methods within classes. - Outcome:
Students will understand object initialization and defining methods.
- Exercise:
Create a class
Rectanglewith methods to calculate area and perimeter.
Day 19:
Inheritance in Python
- Objective:
Understand the concept of inheritance in OOP.
- Outcome:
Students will be able to create a subclass and inherit properties from a
parent class.
- Exercise:
Create a class
Employeethat inherits fromPersonand addssalary.
Day 20:
Polymorphism and Method Overriding
- Objective:
Learn about polymorphism and how to override methods in subclasses.
- Outcome:
Students will be able to demonstrate polymorphism.
- Exercise:
Override a method in the
Employeeclass to display employee details.
Day 21:
Encapsulation and Abstraction
- Objective:
Learn how to use private attributes and methods in Python.
- Outcome:
Students will understand encapsulation and abstraction concepts in OOP.
- Exercise:
Create a class with private attributes and provide getter and setter
methods.
Day 22: Regular
Expressions
- Objective:
Understand how to use regular expressions for pattern matching.
- Outcome:
Students will be able to match, search, and replace text using regular
expressions.
- Exercise:
Write a program that uses regular expressions to validate an email
address.
Day 23: Lambda
Functions
- Objective:
Learn about anonymous functions using
lambda. - Outcome:
Students will be able to create and use lambda functions in expressions.
- Exercise:
Write a lambda function to calculate the square of a number.
Day 24: List
Comprehensions
- Objective:
Learn how to use list comprehensions for concise code.
- Outcome:
Students will be able to create lists using list comprehension.
- Exercise:
Use list comprehension to generate a list of squares of numbers from 1 to
10.
Day 25: Working
with JSON in Python
- Objective:
Understand how to parse JSON data.
- Outcome:
Students will be able to work with JSON data in Python using the
jsonmodule. - Exercise:
Parse a JSON string and extract specific values from it.
Day 26: Python
Libraries (NumPy, Pandas)
- Objective:
Introduction to Python libraries for data manipulation and analysis.
- Outcome:
Students will be able to use libraries like NumPy and Pandas for basic
data operations.
- Exercise:
Create a NumPy array and perform basic operations like sum, mean, and max.
Day 27:
Matplotlib for Data Visualization
- Objective:
Learn the basics of data visualization using Matplotlib.
- Outcome:
Students will be able to plot graphs and charts.
- Exercise:
Create a line plot of a simple dataset.
Day 28: Database
Connectivity with SQLite
- Objective:
Learn how to connect Python with a database using SQLite.
- Outcome:
Students will be able to interact with databases, including creating and
querying tables.
- Exercise:
Write a program to create a table and insert data into an SQLite database.
Day 29: Web Scraping
with BeautifulSoup
- Objective:
Learn how to scrape data from websites using BeautifulSoup.
- Outcome:
Students will be able to extract data from HTML pages.
- Exercise:
Write a program to extract all the links from a webpage.
Day 30: Final
Project - Python Application
- Objective:
Apply all the knowledge gained throughout the course in a real-world
project.
- Outcome:
Students will be able to design and develop a complete Python application.
- Exercise:
Develop a mini Python project, such as a to-do list application,
calculator, or simple database CRUD app.
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