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Python Training in Bangalore

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Python Training in Bangalore

Python is fastest growing higher level programming / scripting language. Supports OOPs and classical way of implementation. In addition, the philosophy of python syntax focuses on general programming audience. This makes programming easy readable and even understandable. The US school system even adopted python as beginner programming language at school level. The wide application makes it to dominate the market when compared to other languages. The open source interpreters like jpython, ironpython helps run python code in JAVA and .net environment with minute changes.The present trading python fields where Web development, Data processing (Machine Learning, Business Intelligence, audio/image/video processing) Automation and Testing, IOT (Rasperri Pi), Networking and OS programming.

Python is easy to learn and allows us to solve any problems in less number of lines of code compared to other languages.Every release of python adds new and advanced concepts like Meta programming, Template, Descriptor, Decorators, Generators and Iterators. More than in-built, wide availability of stable 3rd party packages more focused towards implementation in very simple way. The hackable nature of the language helps us to customize on our own for our own application. The implementation of python over other JAVA, dotnet environments with jpython and ironpython adds more advantage.



  • Why do we need Python?
  • Program structure

Execution steps

  • Interactive Shell
  • Executable or script files.
  • User Interface or IDE

Memory management and Garbage collections

  • Object creation and deletion
  • Object properties

Data Types and Operations

  • Numbers
  • Strings
  • List
  • Tuple
  • Dictionary
  • Other Core Types

Statements and Syntax

  • Assignments, Expressions and prints
  • If tests and Syntax Rules
  • While and For Loops
  • Iterations and Comprehensions

File Operations

  • Opening a file
  • Using Files
  • Other File tools


  • Function definition and call
  • Function Scope
  • Arguments
  • Function Objects
  • Anonymous Functions

Modules and Packages

  • Module Creations and Usage
  • Module Search Path
  • Module Vs. Script
  • Package Creation and Importing


  • Classes and instances
  • Classes method calls
  • Inheritance and Compositions
  • Static and Class Methods
  • Bound and Unbound Methods
  • Operator Overloading
  • Polymorphism

Exception Handling

  • Default Exception Handler
  • Catching Exceptions
  • Raise an exception
  • User defined exception

Advanced Concepts

  • Decorators
  • Generators
  • Iterators
  • Co-routines

Standard Library Modules



Roadmap with Python

Django Framework

CHAPTER 1: Introduction to Django

  • Introduction
  • Why Django?
  • Django Principles
  • What you should already know
  • Course Overview

CHAPTER 2: Installing Django

  • Introduction
  • Choosing your Versions
  • Installing Pip and Python on Windows
  • Demo: Windows Installation
  • Installing Pip and Python
  • Installing Django
  • Summary

CHAPTER 3: Starting a Django Project

  • Introduction
  • Creating a Django Project
  • Demo: Creating a Django Project
  • The Model-Template-View Pattern
  • Demo: Hello, World!+ Mapping URLs
  • Demo: URL Mapping+ Django Views+ Demo: Templates
  • Summary

CHAPTER 4: Models

  • Introduction+ Demo: Adding Models
  • Django Model Classes
  • Database Commands
  • Demo: The Admin Interface
  • The Django Admin Interface
  • Demo: The Model API
  • Save and Delete
  • The Model API
  • Database Relations+ Summary

CHAPTER 5: Adding a User Home Page

  • Introduction
  • Demo: Adding Login and Logout Views
  • More about URL Mappings
  • Demo: A Template for the Home Page
  • Authorization with Django
  • More about Django Templates
  • Demo: Adding the Home View
  • URL Mappings for Apps
  • Demo: Template Inheritance
  • Template Inheritance
  • Demo: Login Required
  • Demo: Showing Game Data on the Home Page
  • Demo: A Custom Manager Class
  • The Template Context
  • Templates: For and Include Tags
  • Summary

CHAPTER 6: Forms

  • Introduction
  • Demo: Adding a HTML Form
  • Using Django Forms+ Demo: Adding Styling to the Form with Crispy-Forms+ Demo: Field Options
  • Field Options
  • Demo: Showing Invitations in a List
  • Demo: Accepting Invitations
  • Demo: Named Groups
  • Named Groups in URLs
  • Summary

CHAPTER 7: Odds and Ends

  • Introduction
  • Class-based Views
  • Demo: Class-based Views
  • Demo: Adding User Signup
  • Generic Views
  • Debugging Django
  • Demo: The Django Debug Toolbar
  • Resources

Machine Learning

Libraries Used:

  • NLTK
  • Scikit-Learn
  • MatplotLib
  • Pandas
  • Numpy

Course Contents:

Basics of Linear Algebra

  • Row representation
  • Column Representation
  • Vector Spaces

Supervised learning

  • Linear Regression
  • Logistic Regression
  • Decision Trees
  • Naive Bayes
  • Support Vector Machines

Unsupervised Learning

  • K-means clustering

Feature Extraction

  • Fourier Transform
  • Wavelet Transform
  • Bag Of words
  • TF-IDF

Similarity measures

  • Second Order Norm.
  • Cosine similarity.
  • Correlation co-efficient

Dimensionality Reduction

  • Principal Component Analysis
  • Singular Value Decomposition


  • Convex Optimization
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