Best Software Training Institute in Hyderabad – Version IT

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Based on 6,000+ student reviews

🎓 10,000+ Enrolled

Students worldwide

👨‍🏫 10+ Years Experience

Industry expert trainers

📈 90% Placement Success

Students placed in top companies

📅 Course Duration

5 Months

💰 Course Price

₹ 30000

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📄 Course Content

Overview

Want the best Python Full Stack Training in Hyderabad to boost your programming career? We provide an extensive, hands-on Python full stack course in Hyderabad that will teach you skills required by the current technology industry.

What is Python Full Stack Training?

This particular type, that is Python Full Stack development Training includes competence in Python with Front End and Back End technologies, respectively.? This involves the acquisition of knowledge on different platforms, databases, servers, and front-end technologies needed in fully creating comprehensive web-based platforms.

Why Choose Version IT?

Expert tutors, an upgraded curriculum, and advanced equipment define us at Version IT. The teaching staff comes with an invaluable experience of the industry hence contributing useful knowledge and understanding in the class. Moreover, we offer you additional help on our placement assistance and career guidance to make you an even stronger player in the field of technology.

Join our Python Full Stack Training in Hyderabad and take part in this transforming process. Do not allow mediocrity, unveil your prowess in the realm of full-stack development. Signup with Version IT and be on your way towards being the best Python full-stack developer.

Topics You will Learn

Core Python
  • 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
Advanced Python
  • 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
NumPy
  • 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
Pandas
  • 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
Matplotlib
  • 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
HTML
  • 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
CSS
  • Introduction to CSS
  • CSS Selectors
  • CSS Box model
  • Styling Elements
  • Advanced Cascading Style Sheets
JavaScript
  • 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
Django with Rest API
  • 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
Flask
  • 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
Database
  • MySQL
  • MongoDB
Tools
  • AWS Basics
  • Version Control-GIT
  • Docker
  • Kubernetes
Angular
  • 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
  • Httpclient
  • Routing & Navigation
  • Angular Animations
  • Angular Materials
  • Unit Testing In Angular
  • Advanced Topics
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

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All You Need to Start this Python Course

FAQ's

Front-end technologies (HTML, CSS, JavaScript), back-end programming with Python frameworks (Django, Flask), databases (SQL, ORM), and other related technologies (RESTful APIs) are usually covered in a full-stack Python course.
The majority of full-stack Python courses involve practical projects to put newly acquired abilities to use. These projects can entail creating databases, web applications, and component integration in addition to simulating real-world circumstances.
Assistance with job placement, including resume evaluations, interview practice, and contacts to possible companies, is a feature of many full-stack courses. Find out how much help the course provider provides by getting in touch with them.
Opportunities for positions as a full-stack developer, web developer, software engineer, or system architect become available with completion of a Python full-stack course. You should graduate from the course with the abilities required for a variety of roles in the software development sector.

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