Python Course In Telugu

Full Stack Python Programming

Become a Python Developer by learning for Basic to Advanced Level. If you want to learn Python programming from scratch in a short amount of time, this master's level course is for you!

Note:Recorded Content
Course Details
Community Support
24/7
Telugu
Teaching Language
Online
Mode Of Teaching
200+ Hours

Recorded Content

Life Time
Recording Content Access
Fee Stucture
₹1,999
Course Syllabus

In this Introduction, you will learn what will be taught in this course and benifits of this course.

  • What is Programming?
  • What is Coding?
  • Python Library
  • Python Modules
  • Python Webframework
  • Flavours of Python
  • What can Python do? 
  • Why Python? 
  • Python Syntax compared to other programming languages
  • Python Installation

  • The print statement
  • Comments
  • Python Data Structures & Data Types
  • String Operations in Python
  • Python keywords
  • Python Variables
  • Python Type Conversions
  • Simple Input & Output

  • Arithmetic operators
  • Assignment operators
  • Comparison operators &Logical operators
  • Identity operators
  • Membership operators & Output
  • Simple Output Formatting 

  • Indentation 
  • The If statement and its’ related statement 
  • An example with if and it’s related statement
  • Else
  • Nested If
  • Short Hand If
  • Short Hand If else & Continue
  • Examples for Conditional Statements

  • Indentation 
  • The for statement and its’ related statement 
  • An example with for and it’s related statement
  • While
  • Nested for
  • Nested While
  • Examples for Looping Statements

  • Indentation 
  • The Break statement and its’ related statement 
  • An example with Break and it’s related statement
  • Continue
  • Pass
  • Examples for Jumping Statements

  • String Introduction
  • String object basics
  • String methods
  • Splitting and Joining strings
  • String format functions

  • List basics
  • List methods
  • Nested List
  • List comprehensions

  • Introduction to Tuples
  • Tuples with built-in functions
  • Tuple operations

  • Introduction to Sets
  • Sets with built-in functions
  • Set Operations
  • Set with functions

  • Introduction to FrozenSet

  • Introduction to Dictionary
  • Dictionary with built-in functions
  • Dictionary with functions

  • Defining a function
  • Calling a function
  • return statement
  • Difference between return and print
  • Arguments
  • Parameters
  • Keyword arguments
  • Arbitrary argument
  • User defined functions
  • Nested functions
  • Functions with real time examples

  • Lambda function
  • Map function
  • return statement vs Yield
  • Difference between return and print
  • filter Function
  • Generator
  • Reduce Function
  • Yield Keyword
  • Advanced Functions with real time examples

  • Introduction to Classes
    • Creation of Classes
    • Real time examples of Classes
  • Creation of Objects
  • init
  • self keyword
  • super keyword
  • Inheritance
  • Types of Inheritance:
    • Single Inheritance.
    • Multiple Inheritance.
    • Multi-Level Inheritance.
    • Hierarchical Inheritance.
  • Polymorphism:
    • Method overloading
    • Method overriding
  • Encapsulation
    • Private
    • Public
    • Protected
  • Data Abstraction
    • Abc class
    • Abstract method
    • Realtime example of Data Abstraction

  • Introduction to File Handling
  • File modes
  • with keyword
  • Working with files
  • Reading and writing files
  • Buffered read and write
  • Other File methods
  • Tell Function
  • Read Line Function
  • Read Lines Function
  • WriteLines Function
  • Other File methods
  • Seek Function

  • Using standard module
  • Creating new modules
  • Exceptions Handling with Try-except
  • Creating, inserting and retrieving table
  • Updating and deleting the data

  • Introduction to Numpy
  • Numpy Installation
  • NumPy – Ndarray Object
  • NumPy – Data Types
  • NumPy – Array Attributes
  • NumPy – Array Creation Routines
  • NumPy – Array from Existing Data
  • Array From Numerical Ranges
  • NumPy – Indexing & Slicing
  • NumPy – Advanced Indexing
  • NumPy – Broadcasting
  • NumPy – Iterating Over Array
  • NumPy – Array Manipulation
  • NumPy – Binary Operators
  • NumPy – String Functions
  • NumPy – Mathematical Functions
  • NumPy – Arithmetic Operations
  • NumPy – Statistical Functions
  • Sort, Search & Counting Functions
  • NumPy – Byte Swapping
  • NumPy – Copies & Views
  • NumPy – Matrix Library
  • NumPy – Linear Algebra

  • Introduction to Pandas
  • Pandas Installation
  • Python Pandas – Series
  • Python Pandas – DataFrame
  • Python Pandas – Panel
  • Python Pandas – Basic Functionality
  • Descriptive Statistics
  • Function Application
  • Python Pandas – Reindexing
  • Python Pandas – Iteration
  • Python Pandas – Sorting
  • Working with Text Data
  • Options & Customization
  • Indexing & Selecting Data
  • Statistical Functions
  • Python Pandas – Window Functions
  • Python Pandas – Date Functionality
  • Python Pandas – Timedelta
  • Python Pandas – Categorical Data
  • Python Pandas – Visualization
  • Python Pandas – IO Tools

  • Matplotlib
  • Matplotlib Introduction
  • Bar Plot
  • Pie Chart
  • BoxPlot
  • HeatMap
  • Histogram
  • Small Project using Matplotlib

  • What is Multi Threading
  • Multi Threading vs Multi Processing
  • Thread class
  • Thread Life Cycle
  • Methods of Multi Threading in Python
  • Examples of MultiThreading

  • What is Web Scraping?
  • What is Beautifull Soap?
  • Request Module
  • Json Module
  • Saving Scraped Data

  • Scraping data from E-commerce websites.

  • Split
  • Working with special characters, date, emails
  • Quantifiers
  • Match and find all
  • character sequence and substitute
  • Search method

  • what is Django?
  • PIP
  • Django installations
  • Django Creating Project
  • Django Creating application
  • Django Commands
  • Django settings.py
  • Django Views.py
  • Django urls.py
  • Django Templates
  • Django Models
  • Django Migrations
  • Blog Project using Django

  • Github Introduction
  • Account creation
  • Github Repository
  • Pushing Projects
  • Pulling Projects
  • ReadME File
  • Git Introduction
  • Git Installation
  • Git Clone
  • Git Status
  • Git Add
  • Git Commit
  • Git Push
  • Git Pull
  • Git vs Github

  • PowerBI Introduction
  • PowerBI Installation
  • PowerBI Query Editor
    • Introduction to PowerBI Query
    • Load
    • Transform
    • Extract
    • Data types and Filters in PowerBI Query
    • Inbuilt Column Transformations
    • In built Row Transformations
  • PowerBI Pivot table
  • Report
  • Table
  • Models
  • Visualization Charts
  • Fields
  • Analysis of Data
  • Creating Dashboards
  • Running Python Scripts
    Projects:
    • Data Visualization using PowerBI with Realtime Data sets

  • Data Gathering
  • Data Preprocessing
  • Data Visualization
  • RealTime Eda Project

  • HTML Introduction
  • HTML Editor Installation
  • HTML Basics
  • HTML Elements
  • HTML Attributes
  • HTML Headings
  • HTML Paragraphs
  • HTML Formatting
  • HTML Comments
  • HTML Colors
  • HTML Links
  • HTML Images
  • HTML Head
  • HTML Forms
  • HTML Tables
  • HTML Lists

  • CSS Introduction
  • CSS Syntax
  • CSS Selectors
  • CSS Comments
  • CSS Colors
  • CSS Backgrounds
  • CSS Borders
  • CSS Padding
  • CSS Text
  • CSS Fonts
  • CSS Icons
  • CSS Links
  • CSS Lists
  • CSS Tables

  • React js Introduction
  • Create React App
  • Folder structure in React
  • Components in React
  • Class Component
  • Jsx
  • Why we Use Pros
  • What is State
  • When We Use Set State Method
  • Destructuring Props and State
  • Event Handler
  • Event Binding
  • Conditional Rendering approaches in React
  • List Rendering
  • List and Keys
  • Index as a Key
  • Css Styling in React
  • Forms in React
  • Component Life Cycle Introduction
  • Mounting Phase Life Cycle Methods
  • Updating Life Cycle
  • Unmounting and Error Handler Phase
  • Fragments
  • Pure Components

  • MySQL Get Started
  • My SQL Installation
  • My SQL Work Bench
  • Data Defination Language
  • Data Manipulatioon Language
  • Data Control Language
  • Data Transaction Language
  • My SQL Connection With Python
  • MySQL Create Database
  • MySQL Create Table
  • MySQL Insert
  • MySQL Select
  • MySQL Where
  • MySQL Drop Table
  • MySQL Join

Projects
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RailWay Tickets Reservation System

The management of booking, timetable, train, station, and fare details is the primary goal of the Python project on railway ticket reservation system. It oversees the management of all customer, fare, and booking information. Only the administrator is assured access because the project is entirely created on the administrative end.

...
Bank Transaction Management System

A straightforward project created with Python is the Simple Banking System project. The project only includes the administrative side. All of the fundamental operations, such as opening a new account, viewing account holders' records, viewing withdrawal and deposit amounts, requesting balance information, etc., are managed by the admin side. gui can be created if necessary.

...
Super Market Bill Generation System

This software project is a functionally enhanced version of a conventional grocery store billing system. This technology is designed to quickly process data and generate bills for grocery customers. For successful output, this project incorporates all python functions and OOPS ideas. The user may check the shopping products, pricing, and quantities with excessive ease.

...
E-Commerce Website with Django

The project aims to change the established relationship between businesses and consumers. The platform will simplify how consumers and businesses sell and buy products.

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Scrapping Data from Websites

This project will introduce you to a programming task: gathering textual material from the web, cleaning it up, and storing the entire collection of data in a file.

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Data Statistical Analysis

You will handle data from the client their customers are searching for the best house for a low cost you need to do all the analytics on the dataset and help your client suggest a good area for their customers.

Tools Covered
What We Provide
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Watch Demo Class now in Telugu

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Frequently Asked Questions

The education offered by Python Life is industrial education. We are known for our course programs. And whatever we teach, it starts from scratch to advanced level. An experienced instructor is available to him 24/7 to clear any doubts.

Yes, all concepts are taught from basic to advanced level and the instructor will check if students understand before moving on to more subjects.

Of course, Python Life trains students according to industry requirements and specifications. We also conduct in-house planning and mock interviews.

There are no eligibility criteria for this course, which is taught from start to finish, so anyone interested in the course can participate.

Yes, you will receive a course completion certificate from Python Life when you submit your project at the end of the course.

Sorry, No refunds.

You can join by paying from our site. Immediately after payment, you will receive a confirmation from us to guide you through the further process.

Yes, all sessions will be recorded and will be provided for the students.