Full Stack – Python
At Divine Tech Skills, our Full Stack Python course is designed to teach you everything you need to build complete web applications from start to finish.
In this course, you will learn both the frontend (what users see) and the backend (what happens behind the scenes) using Python and other essential tools.
What You Will Learn
- Frontend Development
Learn how to create beautiful and responsive websites using HTML, CSS, and JavaScript. - Backend Development with Python
Use Python and frameworks like Django or Flask to build powerful web applications. - Databases
Understand how to store and manage data using databases like SQLite, MySQL, or PostgreSQL. - APIs
Learn how to create and use APIs to connect your frontend and backend. - Deployment
Discover how to launch your project online and make it live for users.
Who Can Join?
Whether you’re a beginner or someone looking to upgrade your skills, this course is perfect for anyone who wants to become a Full Stack Web Developer using Python.
Start your journey with Divine Tech Skills and become job-ready with practical, hands-on learning.
Introduction to Python
Week 1
Session 1: (3 hours)
Introduction to Python
What is Python?
- History of Python
- Applications of Python
- Advantages and features of Python
Setting up Python
- Installing Python and setting up IDE (PyCharm, VSCode, Jupyter)
- Running Python scripts
Python Basics
- Python syntax and structure
- Introduction to the Python interpreter
- Writing and running your first Python program (“Hello, World!”)
Data Types and Variables
Session 2: (3 hours)
Data Types and Variables
Basic Data Types
- Integers, Floats, Strings, Booleans
Variables and Constants
- Declaring variables
- Assigning values to variables
- Constants in Python (conventions)
Type Conversion
- Implicit and Explicit Type Conversion
- The int(), float(), and str() functions
Control Flow
Session 3: (3 hours)
Control Flow
Conditional Statements
- if, else, elif statements
- Nested conditions
- Boolean expressions
Loops
- for loop
- while loop
- break, continue, and else in loops
Comprehensions
- List comprehensions
- Dictionary comprehensions
- Set comprehensions
Functions and Modules
Session 4: (3 hours)
Functions and Modules
Defining Functions
- def keyword
- Function arguments and return values
- Default arguments and variable-length arguments
- Lambda functions
Modules and Libraries
- Importing modules (e.g., import math)
- Standard library overview (e.g., os, sys, random)
- Creating and importing custom modules
Data Structures
Session 5: (3 hours)
Data Structures
Lists
- Creating and accessing lists
- List methods and operations
- Slicing and list comprehensions
Tuples
- Creating tuples
- Tuple operations
Dictionaries
- Creating dictionaries
- Dictionary methods and operations
Sets
- Creating and using sets
- Set operations (union, intersection, difference)
Object-Oriented Programming (OOP)
Session 6: (4 hours)
Object-Oriented Programming (OOP)
Classes and Objects
- Defining a class
- Creating and using objects
Attributes and Methods
- Instance variables
- Methods and self keyword
- Constructor (__init__ method)
Inheritance and Polymorphism
- Inheriting classes
- Method overriding
- Multiple inheritance
Encapsulation and Abstraction
- Private and protected attributes
- Abstract classes and methods
File Handling
Session 7: (3 hours)
File Handling
Working with Files
- Reading from and writing to files
- File modes (r, w, a, r+)
- Using with for file handling
Working with JSON
- JSON module (json.dumps(), json.loads())
- Reading and writing JSON files
Error Handling
- try, except blocks
- finally clause
- Handling specific exceptions
Libraries and Frameworks
Session 8: (8 hours)
Libraries and Frameworks
NumPy (For Scientific Computing)
- Arrays, matrix operations, and array manipulations
Pandas (For Data Analysis)
- DataFrames, Series
- Data manipulation techniques (filtering, sorting, grouping)
Matplotlib (For Data Visualization)
- Basic plotting with matplotlib.pyplot
- Customizing plots (labels, titles, etc.)
Requests (For HTTP Requests)
- Making GET, POST requests
- Working with APIs
Advanced Topics
Session 9: (10 hours)
Advanced Topics
Decorators
- Function decorators
- Class decorators
Generators
- yield and creating generator functions
- Iterators vs Generators
Regular Expressions
- Basic patterns and matching
- Using re module
Multithreading
- Threading basics
- Creating threads and synchronization
Testing and Debugging
- Unit tests with unittest module
- Debugging techniques with pdb
Duration: 40 Hours
Unlock the power of web development with our Full Stack Python program at Divine Tech Skills. This course will teach you everything you need to know to build modern, dynamic, and scalable websites and web applications from start to finish.
- Frontend and Backend Skills: You’ll learn how to create the visible part of a website using HTML, CSS, JavaScript, and React, and also how to build the behind-the-scenes logic using Python with Django or Flask.
- Practical Projects: You won’t just learn the theory—you’ll build real projects that help you apply what you’ve learned. You’ll also learn how to deploy your apps online.
- Work with Databases: Understand how to connect your website with databases like MySQL, PostgreSQL, or MongoDB to store and manage data.
- Build and Use APIs: Learn how to create and use APIs, which help different apps and services talk to each other.
- Use Git and GitHub: Get hands-on experience with Git and GitHub to manage your code and collaborate with others.
- Updated Skills for Today’s Jobs: Our course is designed to teach you the skills that companies are looking for right now.
- Job Support: We’ll help you with resume writing, mock interviews, and job search guidance.
- Corporate Training Available: If you’re part of a team, we offer customized training solutions for companies too.
- Certificate of Completion: After finishing the course, you’ll receive a certificate to show your skills.
Start learning Full Stack Python with us and take your first step toward becoming a professional web developer!
