PYTHON FULLSTACK

 Course Duration: 180 WORKING CLASSES

👨‍🎓 Who This Course is for –PYTHON FULLSTACK:

• Beginners/Freshers: Individuals with little to no prior coding or web development experience who are looking for a comprehensive entry point into the tech industry. Python’s relatively simple and readable syntax makes it a great first language.
• Students: Those in computer science or related fields who want to supplement their academic learning with practical, job-ready, full-stack development skills.
• Career Changers: Professionals from non-tech backgrounds who want to transition into a high-demand role in software development.
• Backend Developers: Developers who already work on the server-side (backend) but wish to expand their skill set to include client-side (frontend) development to become more versatile.
• Frontend Developers: Developers who are proficient in HTML, CSS, and JavaScript and want to learn how to build robust server-side logic and manage databases using Python frameworks like Django or Flask.
• Entrepreneurs/Freelancers: Individuals who want the capability to design, build, and deploy their own complete web applications from start to finish.

MODULE:1-CORE PYTHON

Introduction to Programming Languages

• Introduction to Python
• Working with Python Software
• Python Language Fundamentals
• Different Modes of working with Python
• Basic I/O operations in Python
• Operators and Expressions in Python
• Data Types in Python
• Flow Control Statements (or) Control Structures
• String Handling Operations
• Bytes, ByteArray and Range Data Types
• List Data Structure and Operations
• Tuple Data Structure and Operations
• Set and Frozenset Data Structures or Collection
• Dictionary Data Structures or collection
• Comprehensions (List/Dictionary/Set)
• None Type Category
• Functions in Python
• Modules in Python
• Packages in python
• Exception Handling in Python
• Regular Expressions (Re Module)
• File or Stream Handling
• Collections module for building applications

MODULE:2-ADVANCED PYTHON

Object Oriented Programming Principles

• OS Module
• Multi Threading
• Python Logging
• Date and Time module
• Garbage Collection
• Python Data Base Communications (PDBC)
• Network / Socket Programming (socket module)
• Tkinter and Turtle

MODULE:2-NUMPY

Basic Introduction to the Numpy

• Creation of Numpy Arrays
• Array attributes & Numpy Data Types
• View vs Copy
• Indexing, Slicing and Advanced Indexing
• How to Iterate Elements of the ndarray.
• Arithmetic Operators
• Broadcasting
• Array Manipulation Functions
• Joining Of Multiple Arrays Into a Single Array
• Splitting of Arrays
• Sorting Elements of ndarrays
• Searching elemenets of ndarray
• How to insert elements into ndarray?
• How to delete elements from ndarray
• Matric multiplication by using dot() function
• Importance of matrix class in numpy library
• Linear algebra functions from linalg module
• I/0 operations with Numpy
• Basic statistics with Numpy
• Numpy mathematical functions
• How to find unique items and count

 MODULE:3-PANDAS

• Introduction
• Environment Setup
• Introduction to Data Structures
• Series
• DataFrame
• Panel
• Basic Functionality
• Descriptive Statistics
• Function Application
• Reindexing
• Iteration
• Sorting
• Working with Text Data
• Options and Customization
• Indexing and Selecting Data
• Statistical Functions
• Window Functions
• Aggregations
• Missing Data
• GroupBy
• GroupBy
• Merging/Joining
• Concatenation
• Date Functionality
• Timedelta
• Categorical Data
• Visualization
• IO Tools
• Sparse Data
• Caveats & Gotchas
• Comparison with SQL

MODULE:4-MATPLOTLIB

• Introduction to Matplotlib
• Line Plot- Basics
• Line Plots-Advanced
• How to add grid lines to plot
• Adding Legend
• Customization of Tick Location and Labels
• How to set limit range of values on x-axis and y-axis by using xlim() and ylim() functions
• How to set scale of x-axis and y-axis?
• Plotting Styles
• Functional/Procedural Oriented Vs Object Oriented Approached of plotting
• Bar Chart / Bar Graph / Bar Plot
• Pie Chart
• Histogram
• Scatter Plots
• Subplots
• Plotting Geographic Data with Basemap
• Three-Dimensional(3-D) Plotting in Matplotlib
• Animations

MODULE:5-HTML

• Web Introduction
• Introduction to HTML
• Introduction to HTML Structure
• Presentational & Formatting Tags
• Title and Html entities
• Attributes
• HTML Images & Anchor Tag
• Working with Lists
• Working with Div tag
• HTML Tables
• HTML Forms
• HTML Form Controls
• Additional from controls
• HTML5 New Semantic / Structural Elements

MODULE:6-CSS

Introduction to CSS

• CSS Selectors
• CSS Box model
• Styling Elements
• Advanced Cascading Style Sheets

MODULE:7-JAVA SCRIPT

Introduction JavaScript

• JavaScript implementations
• Java Script Variables & datatypes
• JavaScript Operators
• Java Script Control Controls
• Arrays
• Functions
• Functional Expressions
• Arrow Functions
• JavaScript Strings
• Working with JS Objects
• JS Constructors
• DOM-Document object
• DOM-Element object
• DOM-Event Handling
• BOM-Window object
• Javascript validations and Regular Expressions
• Bootstrap

MODULE:8-DJANGO WITH REST API

Introduction to Django

• Django & Atom Installation and Development of First Web Application
• Templates and Static Files
• Views and URLs
• Models and Databases
• Forms and Validation
• Advanced Template Features
• Session Management
• User Authentication and Authorization
• Class Based Views and CRUD Operations by using both CBVs and FBVs
• Django ORM
• Working with Advanced Model Concepts
• Django Rest Framework
• Testing and Debugging
• Caching and Performance Optimization
• Django Forms Advanced Topics
• Django Security
• Django Signals and Asynchronous Tasks
• Django Deployment and Production
• WebSockets and Real-Time Communication
• Project Development and Refinement

MODULE9-INTRODUCTION TO FLASK

• Introduction to Flask
• Building Web Applications with Flask
• Web Forms and User Input
• Databases and Data Storage
• User Authentication and Authorization
• RESTful APIs
• Deployment and Scaling
• Advanced Topics

MODULE:10-DATA BASE

• MySQL
• MongoDB

MODULE:11-TOOLS

• AWS Basics
• Version Control-GIT
• Docker
• Kubernetes

MODULE:12-ANGULAR

• Introduction To Web Technologies
• Typescript Deep Dive-Type Script Architecture
• Introduction To Angular
• Setting Up Environment For Angular
• Angular Architecture
• introduction to components
• Angular Pipes
• Angular Services
• Angular Forms
• Observables&Rxjs
• NG Modules
• Dependency Injection
• Httpclient
• Routing & Navigation
• Angular Animations
• Angular Materials
• Unit Testing In Angular
• Advanced Topic

WHAT YOU WILL GET:

• Daily classes for 1 to 1½ hours
• Doubt clarification session every day
• Hands-on labs & real-world projects
• Mock exams & interview preparation
• Certificate of Completion
• Lifetime access to course materials

One-on-one mentoring & career support (optional)

LEARNING OUTCOMES 🧠

Upon completing a Python full-stack course, you should be able to:

• • Master Front-End Technologies: Develop interactive and responsive user interfaces using HTML, CSS, and JavaScript, often incorporating a modern front-end library/framework like React or Vue.js.
  • Implement Back-End Logic: Write robust server-side logic and business processes using Python and popular frameworks like Django or Flask.
  • Manage Databases: Design database schemas (both relational like PostgreSQL/MySQL and NoSQL like MongoDB), write queries, and integrate the database with the application back-end.
  • Develop APIs: Create and consume RESTful APIs to facilitate seamless data exchange between the front-end and back-end.
  • Use Version Control: Collaborate effectively using Git and platforms like GitHub for version control and team development.
• Handle Deployment: Understand the process of deploying a web application to a live server using cloud platforms (e.g., AWS, Heroku) and basic DevOps practices like containerization (e.g., Docker).
• Ensure Security: Implement basic security measures such as user authentication, authorization, and protection against common web vulnerabilities.

Career Roles 💼

• Python Full Stack Developer
• Full Stack Engineer
• Junior/Associate Full Stack Developer
• Python Developer
• Backend Developer (Python)
• Django Developer
• Web Application Developer
• Software Engineer
• DevOps Engineer (Entry-Level)
• Frontend Developer (If you choose to specialize in the client-side technologies learned)
• Data Engineer (Python skills are highly transferable to this field)
• Software Architect (Typically a senior role for career progression)