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Full Stack Python Course - Learnees

Full Stack Python Course

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This course delves into the complete stack of technologies involved in Python web development, including frontend frameworks like Flask or Django, backend databases like MySQL or MongoDB, and client-side technologies such as HTML, CSS, and JavaScript. Through a combination of lectures, hands-on coding exercises, and projects, participants will learn how to integrate various components to create fully functional web applications.

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Upto First 3 Sessions - 100% Refund Guarantee

1. Core python

Topics:

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)
NoneType 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

Hands-on:

Skills You Will Learn:

2. Advance python

Topics:

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

Hands-on:

Skills You Will Learn:

3. NumPy

Topics:

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?

Hands-on:

Skills You Will Learn:

4. Pandas

Topics:

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
Merging/Joining
Concatenation
Date Functionality
Timedelta
Categorical Data
Visualization
IO Tools
Sparse Data
Caveats & Gotchas
Comparison with SQL

Hands-on:

Skills You Will Learn:

5. HTML

Topics:

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

Hands-on:

Skills You Will Learn:

6. CSS

Topics:

Introduction to CSS
CSS Selectors
CSS Box model
Styling Elements
Advanced Cascading Style Sheets

Hands-on:

Skills You Will Learn:

7. JavaScript

Topics:

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

Hands-on:

Skills You Will Learn:

8. Django with REST API

Topics:

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

Hands-on:

Skills You Will Learn:

9. Flask

Topics:

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

Hands-on:

Skills You Will Learn:

10. Database

Topics:

MySQL
MongoDB

Hands-on:

Skills You Will Learn:

11. Tools

Topics:

AWS Basics
Version Control-GIT
Docker
Kubernetes

Hands-on:

Skills You Will Learn:

12. Angular

Topics:

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
Http client
Routing & Navigation
Angular Animations
Angular Materials
Unit Testing In Angular

Hands-on:

Skills You Will Learn:

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What You'll Learn in Full Stack Python Course

Master the essential skills and industry-leading tools that will prepare you for real-world challenges and career success

Frontend development (HTML

CSS

JavaScript)

backend development with Python

web frameworks (Django/Flask)

REST API development

database management (MySQL/PostgreSQL)

frontend–backend integration

authentication and user management

version control with Git

debugging and testing

deployment basics

clean coding practices

Curriculum Designed by Industry Experts

Master the skills employers are looking for with our comprehensive, hands-on curriculum

Core python

25 Topics

Advance python

9 Topics

NumPy

23 Topics

Pandas

30 Topics

HTML

14 Topics

Free Career Counselling

We're happy to help you 24/7

1. Core python

Topics:

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)
NoneType 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

Hands-on:

Skills You Will Learn:

2. Advance python

Topics:

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

Hands-on:

Skills You Will Learn:

3. NumPy

Topics:

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?

Hands-on:

Skills You Will Learn:

4. Pandas

Topics:

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
Merging/Joining
Concatenation
Date Functionality
Timedelta
Categorical Data
Visualization
IO Tools
Sparse Data
Caveats & Gotchas
Comparison with SQL

Hands-on:

Skills You Will Learn:

5. HTML

Topics:

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

Hands-on:

Skills You Will Learn:

6. CSS

Topics:

Introduction to CSS
CSS Selectors
CSS Box model
Styling Elements
Advanced Cascading Style Sheets

Hands-on:

Skills You Will Learn:

7. JavaScript

Topics:

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

Hands-on:

Skills You Will Learn:

8. Django with REST API

Topics:

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

Hands-on:

Skills You Will Learn:

9. Flask

Topics:

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

Hands-on:

Skills You Will Learn:

10. Database

Topics:

MySQL
MongoDB

Hands-on:

Skills You Will Learn:

11. Tools

Topics:

AWS Basics
Version Control-GIT
Docker
Kubernetes

Hands-on:

Skills You Will Learn:

12. Angular

Topics:

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
Http client
Routing & Navigation
Angular Animations
Angular Materials
Unit Testing In Angular

Hands-on:

Skills You Will Learn:

Why Choose Rashmikant Das

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24x7 Support

One-On-One Learning Assistance
Help Desk Support
Resolve Doubts in Real-time

Hands-On Project Based Learning

Industry-Relevant Projects
Course Demo Dataset & Files
Quizzes & Assignments

Industry Recognised Certification

Learnees Training Certificate
Graded Performance Certificate
Certificate of Completion

Full Stack Python Course Certification

Master Skills & Earn Your Professional Certificate

Industry-recognized certificate by Learnees Institute

Learn from certified trainers with hands-on sessions

Receive career support and placement guidance

Globally recognized certification for career growth

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Why enroll for Full Stack Python Course Certification?

Unlock your potential in with Full Stack Python Course certification

Most Popular Certification

Full Stack Python Course certification is rated as one of the most popular and lucrative cloud certifications in IT globally.

Growing Market

The global Full Stack Python Course market size is expected to grow at a CAGR of 21.2% from 2024 to 2030.

High Salary Potential

The estimated total pay for an Full Stack Python Course is ₹7,09,000 per year, with an average salary of ₹6,09,000 per year - Glassdoor.

Course Overview: Full Stack Python Course

Essential details: objectives, prerequisites, schedule, and outcomes

Understand the architecture of full-stack web applications. Gain proficiency in Python programming language. Learn to develop dynamic web interfaces using frontend frameworks like Flask or Django. Master backend development with Python and popular databases like MySQL or MongoDB.