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Dur: 4 months
Course fee : 12000 /-

Full Stack Python

Course Overview

The Online Training course in Full Stack Python Development offers an immersive learning experience that delves into both the front-end and back-end facets of Python-driven web development. It is meticulously designed to equip participants with a thorough understanding of essential concepts, tools, and frameworks crucial for crafting contemporary, scalable web applications. Through a blend of interactive modules and hands-on exercises, learners will acquire practical expertise in every stage of the development cycle, from conceptualizing and designing to coding, deploying, and sustaining full-stack Python applications. Whether opting for Online Training or Classroom Training, this comprehensive program ensures that individuals gain the necessary skills and knowledge to thrive in the dynamic realm of web development.

Learn software skills with real experts, either in live classes with videos or without videos, whichever suits you best.

Description

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. Additionally, the course covers topics such as API development, authentication, security best practices, and deployment strategies.

Course Objectives

  • 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.
  • Acquire knowledge of RESTful API development and integration.
  • Implement user authentication and authorization mechanisms.
  • Explore best practices for security and performance optimization.
  • Learn deployment strategies for deploying Python applications to production environments.

Prerequisites
    • Basic understanding of programming concepts (preferably Python).
    • Familiarity with web technologies such as HTML, CSS, and JavaScript.
    • Knowledge of database concepts is beneficial but not mandatory.
Course Curriculum

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

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

  • 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

  • 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

  • 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

  • MySQL
  • MongoDB

  • AWS Basics
  • Version Control-GIT
  • Docker
  • Kubernetes
Who can learn this course

  • Aspiring web developers seeking to specialize in Python-based full-stack development.
  • Software engineers looking to expand their skills into web development.
  • Entrepreneurs or startup founders interested in building their own web applications.
  • Professionals interested in transitioning into a career in web development.
  • Students or enthusiasts passionate about learning modern web development technologies.

Average package of course (Full Stack Python )

50% Avg
salary hike
50L Avg
Package
Upcoming Batches
Live Training Batches Timetable
Course Name Faculty Date Time Mode of Training Batch Type Meeting Link
Full Stack Python Mr. Mahesh 20 May 5:00 PM (IST) online Online Training
Full Stack Python Mr. Mahesh 20 May 5:00 PM (IST) offline Classroom Training
Full Stack Python Mr. Mahesh 15 May 9:15 AM (IST) online Online Training
Full Stack Python Mr. Mahesh 15 May 9:15 AM (IST) offline KPHB
Training Features
Comprehensive Curriculum

Master web development with a full-stack curriculum covering front-end, back-end, databases, and more.

Hands-On Projects

Apply skills to real-world projects for practical experience and enhanced learning.

Expert Instructors

Learn from industry experts for insights and guidance in full-stack development.

Job Placement Assistance

Access job placement assistance for career support and employer connections.

Certification upon Completion

Receive a recognized certification validating your full-stack development skills.

24/7 Support

Access round-the-clock support for immediate assistance, ensuring a seamless learning journey.

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