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FRONT-END PART
➢Introduction
➢Different types of Applications
➢Application Architecture
HTML
➢Introduction to HTML
➢Basic Structure of HTML
➢HTML Editors
➢HTML Tags
➢Paragraphs, Headings and Text
➢Formatting Tags
➢HTML Lists
➢HTML Images
➢HTML Tables
➢HTML Forms
➢HTML Media
CSS
➢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,Shadows, Etc.,)
JAVA SCRIPT
➢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
BOOTSTRAP
➢Introduction to Bootstrap
➢Bootstrap Setup
➢Bootstrap Containers
➢Bootstrap Grids
➢Bootstrap Tables
➢Bootstrap Buttons, Navbars, Alerts
➢Bootstrap Carousel
➢Bootstrap Forms
BACK-END PART
INTRODUCTION TO PYTHON
➢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
CONTROL STATEMENT
➢if-else
➢if-elseif-else
➢while loop
➢for loop
➢break
➢continue
➢assert
➢pass
➢return
LIST, RANGES & TUPLES IN PYTHON
➢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
PYTHON DICTIONARIES AND SETS
➢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 BUILT IN FUNCTION
➢Python user defined functions
➢Python packages functions
➢Defining and calling Function The anonymous
➢Functions
➢Loops and statement in Python
➢Python Modules & Packages
PYTHON OBJECT ORIENTED
➢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
EXCEPTIONS
➢Errors in Python
➢Compile-Time Errors
➢Runtime Errors
➢Logical Errors
➢What is Exception?
➢Handling an exception try….except…else try-finally clause
➢Argument of an Exception
➢Python Standard Exceptions
➢Raising an exceptions
➢User-Defined Exceptions
PYTHON REGULAR EXPRESSIONS
➢What are regular expressions?
➢The match Function
➢The search Function
➢Matching vs searching
➢Search and Replace
➢Extended Regular Expressions
➢Wildcard
PYTHON MULTITHREADED PROGRAMMING
➢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 Operation with Databases
➢Web Scraping in Python
PYTHON FULLSTACK USING PYTHON
➢Numpy
➢Introduction to numpy
➢Creating arrays
➢Indexing Arrays
➢Array Transposition
➢Universal Array Function
➢Array Processing
➢Array Input and Output
➢Matplotlib: Data Visualization
➢Python for Data Visualization
➢Welcome to the Data Visualization Section
➢Matplotlib Pandas
GRAPHICAL USER INTERFACE
➢HTML, CSS, Jquery, Bootstrap
➢GUI in Python
➢Button Widget
➢Label Widget
➢Text Widget
➢Rest Api
DJANGO WEB FRAMEWORK IN PYTHON
➢Django overview
➢Creating a project
➢Apps life cycle
➢Admin interface
➢Creating views
➢URL Mapping
➢Template system
➢Models
➢Form details
➢Testing
➢Page redirection
➢Sending Emails
➢Deploying Django framework
➢Form processing
➢File uploading
➢Cookie handling
➢Sessions, caching and comments
➢RSS,AJAX
➢Sending Emails
➢GitHub , Bitbucket
FRAMEWORKS FOR WEB DEVELOPMENT DJANGO
➢Django overview
➢Creating a project
➢Apps life cycle
➢Admin interface
➢Creating views
➢URL Mapping
➢Template system
➢Models
➢Form details
➢Testing
➢Page redirection
➢Sending Emails
➢Deploying Django framework
➢Form processing
➢File uploading
➢Cookie handling
➢Sessions, caching and comments
➢RSS,AJAX
➢Sending Emails
➢GitHub,Bigbucket
➢Flask Framework & TkInter GUI Framework
➢Overview of Flask Framework
➢Installation of Flask and
➢Demo Application
Database
➢DATABASE HANDLING WITH MYSQL
➢PYTHON MYSQL DATABASE ACCESS
➢CREATE DATABASE CONNECTION
➢DML AND DDL OPERATIONS WITH DATABASES
➢PERFORMING TRANSACTIONS
➢HANDLING DATABASE ERRORS
➢DISCONNECTING DATABASE
➢DATABASE HANDLING WITH MONGODB
➢SQL VS NOSQL
➢MONGODB
➢PYMONGO
➢ESTABLISHING A CONNECTION
➢ACCESSING DATABASE
➢DML AND DDL OPERATIONS
Courses Offered By us
What is Python Full Stack?
The Python Full Stack course is designed to equip learners with the skills needed for both front-end and back-end web development. It covers essential areas such as HTML, CSS, JavaScript for client-side development, and Python frameworks like Django for server-side programming. This comprehensive training prepares you to create dynamic, data-driven web applications.
Why Choose Python Full Stack These Days?
With the increasing reliance on web applications, Python Full Stack developers are in high demand. Python’s popularity in various sectors, including tech, finance, and healthcare, makes this skill set invaluable. Moreover, Python’s ease of learning and vast community support enhances the job market for certified professionals.
Current Growth of Python Full Stack Developers?
According to industry trends, the demand for Python Full Stack developers is expected to grow by approximately 20% annually. As businesses continue to digitize their operations and develop web applications, the need for skilled developers is set to rise.
Industry Demand Availability Percentage?
Recent surveys show that 70% of organizations are actively seeking Python Full Stack developers. This high demand creates numerous job opportunities and gives certified professionals a competitive edge in the tech industry.
Future Opportunities After Python Full Stack?
After completing a Python Full Stack course, professionals can advance to specialized roles such as Data Scientist, Machine Learning Engineer, or DevOps Engineer. Salaries for these positions can range from $80,000 to over $130,000 annually, depending on experience and expertise.
Good Career Opportunities for Python Full Stack Course?
Python Full Stack graduates can pursue various roles, including Full Stack Developer, Software Engineer, and Web Developer. The U.S. Bureau of Labor Statistics projects that employment for web developers will grow by 8% from 2021 to 2031, which is faster than the average for all occupations.