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Python Full Stack Developer Training – Master Frontend, Backend & Database Skills

Become a versatile developer with Insta InfoTech®’s Python Full Stack Developer Training, a comprehensive program designed to help you master both frontend and backend development using Python. This course covers everything from HTML, CSS, and JavaScript for frontend development to Python, Django, and Flask for backend development, along with Database Management using SQL and NoSQL. Whether you're a beginner or an experienced coder, this training will prepare you for high-demand roles like Full Stack Developer, Web Developer, and Python Developer. Earn a recognized Full Stack Developer Certification and unlock exciting job opportunities in the IT industry.

Python Full Stack Developer Training – Master Frontend, Backend & Database Skills
  • Master Frontend Development: Learn HTML, CSS, JavaScript, and React to build interactive and responsive user interfaces.
  • Backend Development with Python: Use Django and Flask to create robust and scalable backend systems.
  • Database Management: Work with SQL (MySQL, PostgreSQL) and NoSQL (MongoDB) databases for data storage and retrieval.
  • Full Stack Integration: Learn to integrate frontend and backend systems to build complete web applications.
  • Real-World Projects: Apply your skills to real-world projects in Web Development and Full Stack Applications.
  • Certification: Earn a recognized Full Stack Developer Certification upon course completion.
Why Choose Insta InfoTech®?
  • Expert trainers with real-world experience in Full Stack Development and Python Programming.
  • Hands-on training with practical projects and case studies.
  • Flexible learning options (online and offline).
  • Placement assistance to help you land roles like Full Stack Developer, Web Developer, and Python Developer.
  • Lifetime access to course materials and support.
Who Should Enroll?
  • Aspiring Full Stack Developers and Web Developers.
  • IT Professionals looking to upskill in Python Full Stack Development.
  • Graduates seeking a career in Web Development and Full Stack Applications.
  • Anyone interested in mastering Frontend, Backend, and Database Management using Python.
Job Opportunities

Upon completing the Python Full Stack Developer Training, you will be prepared for a variety of high-demand roles, including:

  • Full Stack Developer: Build and maintain both frontend and backend systems for web applications.
  • Web Developer: Design and develop user-friendly and responsive websites.
  • Python Developer: Create backend systems and APIs using Python frameworks like Django and Flask.
  • Frontend Developer: Focus on building interactive and visually appealing user interfaces.
  • Backend Developer: Develop server-side logic and database management for web applications.
Transform Your Career Today!

Join Insta InfoTech®’s Python Full Stack Developer Training and become a versatile developer. Gain the skills to build complete web applications from scratch and open doors to exciting job opportunities in the IT industry.

  • 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

  • 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

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