Python Django Training

PYTHON WITH DJANGO TRAINING IN MUMBAI

Accelerate your career prospects with iteanz Python with Django Training

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Highest Quality and the Most Productive, High Energy Learning Experience.

Curriculum

Comprehensive Course Curriculum. Customizable to full-fill your trainer needs.

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About Program

Learn Python with Django Training from iteanz the market leader !

Enhance your skill set and boost your hirability through innovative and hands on Python with Django Training with iteanz.

Experience hands-on training with industry projects during the Python with Django Training Course

Iteanz Python with Django Training adds value and Accelerate your career . Enroll Today

              Python is a general-purpose interpreted, interactive, object-oriented and high-level programming language. Currently Python is the most popular Language in IT.

At the End of the training, you will also receive Certification and official course material issued by Iteanz . Let's start your career in Python with Django.

Success Factors:

  • High-Quality Training
  • Top Technical Trainers
  • Comprehensive Course Curriculum
  • 100% Placement Assistance
  • Superb Satisfaction Score
  • Internship on Real-Time Project 
  • 3I- Individual Focus, Innovative & Interactive

Curriculum

Introduction

  • An Introduction To Python
  • Introductory Remarks About Python
  • Strengths and Weaknesses
  • A Brief History of Python
  • Python Versions
  • Installing Python
  • Environment Variables
  • Executing Python From The Command Line
  • IDLE
  • Editing Python Files
  • Getting Help
  • Dynamic Types
  • Python Reserved Words
  • Naming Conventions
  • Language Evolution
  • Python Reserved Words and Other Rules
  • Documentation
  • The String Class
  • Variables
  • Data types
  • Boolean and numeric types
  • Strings
  • Lists and Tuples
  • Sets
  • Sequences
  • Looping Through Sequences
  • Dictionaries
  • Bit variables
  • Modules
  • Reading files
  • Some file tests

1.Basic Python Syntax

  • Introduction
  • Basic Syntax
  • Comments
  • String Values
  • String Operations
  • The Format Method
  • String Slices
  • String Operators
  • Numeric Data Types
  • Conversions
  • Simple Input and Output
  • The Print Function

2.Language Components

  • Introduction
  • Control Flow and Syntax
  • Indenting
  • The if Statement
  • Relational Operators
  • Logical Operators
  • True or False
  • Bit Wise Operators
  • The While Loop
  • Break and Continue
  • The for Loop

3.Collections

  • Introduction
  • lists
  • Tuples
  • Sets
  • Dictionaries
  • Sorting Dictionaries
  • Copying Collections
  • Summary

4.Functions

  • Introduction
  • Defining your own Functions
  • Parameters
  • Function Documentation
  • Keyword and Optional Parameters
  • Passing Collections to a Function
  • Variable Number of Arguments
  • Scope
  • Functions
  • Passing Functions to a Function
  • Mapping Functions in a Dictionary
  • Lambda
  • Closures

5.Modules

  • Standard Modules - Sys
  • Standard Modules - Math
  • Standard Modules - Time
  • The Dir Function

6.Exceptions

  • Errors
  • Run Time Errors
  • The Exception Mode
  • Exception Hierarchy
  • Handling Multiple Exceptions
  • Raise
  • Assert
  • Writing your Own Exception Classes

7.Input And Output

  • Introduction
  • Data Streams
  • Creating Your Own Data Streams
  • Access Modes
  • Writing Data to a File
  • Reading Data from a File
  • Additional file Methods
  • Using pipes as Data Streams
  • Handling IO Exceptions
  • Working with Directories
  • Metadata
  • The pickle Module

8.Classes In Python

  • Classes in Python
  • Principles of Object Orientation
  • Creating Classes
  • Instance Methods
  • File Organization
  • Special Methods
  • Class Variables
  • Inheritance
  • Polymorphism
  • Type Identification
  • Custom Exception Cases

9.Regular Expressions

  • Introduction
  • Simple Character Matches
  • Special Characters
  • Character Classes
  • Quantifiers
  • The dot character
  • Greedy Matches
  • Grouping
  • Matching at the beginning or end
  • Match objects
  • Substituting
  • Splitting a string
  • Compiling regular expressions
  • Flags

10.Data Structures

  • Range
  • List Comprehensions
  • Nested List Comprehensions
  • Dictionary Comprehensions
  • Dictionaries with Compound Values
  • Processing Lists in Parallel
  • Functions
  • Default Parameters
  • Variable Arguments
  • A dictionary of Dictionaries
  • Specialized Sorts
  • The Del statement
  • Time Functionality
  • Using Generators

11.Writing GUIs In Python

  • Introduction
  • Components and Events
  • An Example GUI
  • The Root Component
  • Adding a Button
  • Entry widgets
  • Text widgets
  • Check Buttons
  • Radio Buttons
  • List boxes
  • Frames
  • Menus
  • Binding Events to Widgets

12.Python And CGI Scripts

  • Introduction
  • Html
  • Html Forms
  • A Guestbook Application
  • What can go wrong!
  • Html tables
  • The CGI Script
  • Rendering of The Script

13.The OS Module

  • The Environment
  • Launching Commands
  • Creating a Process
  • Directory Commands
  • Other Process Methods
  • File Information (metadata)
  • Miscellaneous OS calls
  • Walking through Directories

14.Network Programming

  • Introduction
  • A Daytime Server
  • Clients and Servers
  • The Client Program
  • The Server Program
  • Recap
  • An Evaluation Client and Server
  • The Server Portion
  • A Threaded Server

15.What You Might Not Already Know

  • What is an Iterable?
  • Creating your own Iterators
  • Generators
  • The Functions any and all
  • Thread Fundamentals
  • Synchronization
  • Formatting records
  • Signals
  • The Python Debugger (2.x)
  • The with statement
  • Data compression

16.Introduction to Django

  • Introduction
  • Why Django?
  • Batteries Included
  • Django Principles
  • What you Should Already Know
  • Course Overview

17.Installing Django

  • Intro
  • Choosing your Versions
  • Installing Pip and Python on Windows
  • Demo: Windows Installation
  • Installing Pip and Python on Mac OS X
  • Demo: OS X Installation
  • Installing Pip and Python on Linux
  • Demo: Linux Installation
  • Virtualenv
  • Demo: Virtualenv
  • Installing Django
  • Summary

18.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

19.Models

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

20.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

21.Forms

  • Introduction
  • Demo: Adding a HTML Form
  • Using Django Forms
  • Demo: Adding Stypng 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

22.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
  • Summary

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