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Python Full Stack Developer

This Python Full Stack Development course is designed to equip learners with the skills required to build dynamic, responsive, and data-driven web applications. Covering both front-end and back-end development, this course leverages the power of Python along with modern web technologies. It's ideal for beginners and those with some programming experience who wish to master full-stack development using Python.

  • 6 Months
  • English, Hindi, Marathi
  • (5 / 5 Rating)

Course Description

This Python Full Stack Development course is designed to equip learners with the skills required to build dynamic, responsive, and data-driven web applications. Covering both front-end and back-end development, this course leverages the power of Python along with modern web technologies. It's ideal for beginners and those with some programming experience who wish to master full-stack development using Python.

Who can do?

  • Basic understanding of HTML.
  • Basic understanding of CSS.
  • Basic understanding of JavaScript.
  • Basic understanding of Python.

Job Opportunities

  • Full Stack Developer
  • Back-End Developer
  • Front-End Developer
  • Web Developer
  • Python Developer
  • Freelance Developer
  • DevOps Engineer

Course Curriculum

Front-End Part

  • Introduction
  • Different types of Applications
  • Application

  • Introduction to HTML
  • Basic Structure of HTML
  • Basic Structure of HTML
  • HTML Tags
  • Paragraphs, Headings and Text
  • Formatting Tags
  • HTML Lists
  • HTML Images
  • HTML Tables
  • HTML Forms
  • HTML Media

  • Introduction to CSS
  • Types of CSS
  • CSS Properties, Selectors and Values
  • Applying CSS to HTML
  • CSS colors
  • CSS Box Model, Margins, Padding, Borders
  • CSS Text & Font Formats
  • CSS Advanced Topics (Effects, Animations

  • Introduction to JavaScript
  • How to Apply JavaScript
  • Displaying Output in JavaScript
  • Understanding JavaScript Syntax
  • Variables & Datatypes
  • Operators
  • Math and String Manipulations
  • Conditional and looping Statements
  • Functions
  • Validations
  • Events

Back-End Part

  • What is Python and history of Python
  • Unique features of Python
  • Python-2 and Python-3 differences
  • Install Python and Environment Setup
  • First Python Program
  • Python Identifiers, Keywords and Indentation
  • Comments and document interlude in Python
  • Command-line arguments
  • Getting User Input
  • Python Data Types
  • What are variables?
  • Python Core objects and Functions
  • Number and Maths
  • Assignments

  • if-else
  • if-elseif-else
  • while loop
  • for loop
  • break
  • continue
  • assert
  • pass
  • return

  • Introduction
  • Lists in Python
  • More about Lists
  • Understanding Iterators
  • Generators, Comprehensions and Lambda Expressions
  • Generators and Yield
  • Next and Ranges
  • Understanding and using Ranges
  • More About Ranges
  • Ordered Sets with tuples

  • Introduction to the section
  • Python Dictionaries
  • MORE ON DICTIONARIES
  • SETS
  • Python Sets Examples
  • Input and Output in Python
  • Reading and writing text files
  • writing Text Files
  • Appending to Files and Challenge
  • Writing Binary Files Manually
  • Using Pickle to Write Binary Files

  • Python user defined functions
  • Python packages functions
  • Defining and calling FunctionThe anonymous Functions
  • Loops and statement in Python
  • Python Modules & Packages

  • Overview of OOP
  • The self variable
  • Constructor
  • Types Of Variables
  • Namespaces
  • Creating Classes and Objects
  • Inheritance
  • Types of Methods
  • Instance Methods
  • Static Methods
  • Class Methods
  • Accessing attributes
  • Built-In Class Attributes
  • Destroying Objects
  • Abstract classes and Interfaces
  • Abstract Methods and Abstract class
  • Interface in Python
  • Abstract classes and Interfaces

  • Errors in Python
  • Compile-Time Errors
  • Runtime Errors
  • Logical Errors
  • What is Exception?
  • Handling an exceptiontry….except…elsetry-finally clause.
  • Argument of an Exception
  • Python Standard Exceptions
  • Raising an exceptions
  • User-Defined Exceptions

  • Introduction
  • Lists in Python
  • More about Lists
  • Understanding Iterators
  • Generators, Comprehensions and Lambda Expressions
  • Generators and Yield
  • Next and Ranges
  • Understanding and using Ranges
  • More About Ranges
  • Ordered Sets with tuples

  • What is multithreading?
  • Difference between a Process and Thread
  • Concurrent Programming and GIL
  • Uses of Thread
  • Starting a New Thread
  • The Threading Module
  • Thread Synchronization
  • Locks
  • Semaphore
  • Deadlock of Threads
  • Avoiding Deadlocks
  • Daemon Threads
  • Using Databases in Python
  • Python MySQL Database Access
  • Install the MySQLdb and other Packages
  • Create Database Connection
  • CREATE, INSERT, READ Operation
  • DML and DDL Oepration with Databases
  • Web Scraping in Python

  • What is multithreading?
  • Difference between a Process and Thread
  • Concurrent Programming and GIL
  • Uses of Thread
  • Starting a New Thread
  • The Threading Module
  • Thread Synchronization
  • Locks
  • Semaphore
  • Deadlock of Threads
  • Avoiding Deadlocks
  • Daemon Threads
  • Using Databases in Python
  • Python MySQL Database Access
  • Install the MySQLdb and other Packages
  • Create Database Connection
  • CREATE, INSERT, READ Operation
  • DML and DDL Oepration with Databases
  • Web Scraping in Python

  • What is multithreading?
  • Difference between a Process and Thread
  • Concurrent Programming and GIL
  • Uses of Thread
  • Starting a New Thread
  • The Threading Module
  • Thread Synchronization
  • Locks
  • Semaphore
  • Deadlock of Threads
  • Avoiding Deadlocks
  • Daemon Threads
  • Using Databases in Python
  • Python MySQL Database Access
  • Install the MySQLdb and other Packages
  • Create Database Connection
  • CREATE, INSERT, READ Operation
  • DML and DDL Oepration with Databases
  • Web Scraping in Python

  • What is multithreading?
  • Difference between a Process and Thread
  • Concurrent Programming and GIL
  • Uses of Thread
  • Starting a New Thread
  • The Threading Module
  • Thread Synchronization
  • Locks
  • Semaphore
  • Deadlock of Threads
  • Avoiding Deadlocks
  • Daemon Threads
  • Using Databases in Python
  • Python MySQL Database Access
  • Install the MySQLdb and other Packages
  • Create Database Connection
  • CREATE, INSERT, READ Operation
  • DML and DDL Oepration with Databases
  • Web Scraping in Python
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  • Fees
  • Duration 6 months
  • Skill level All Levels
  • Language English
  • Enrolled 12K

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