Python

About Python

Python is a general-purpose programming language that is becoming more and more popular for doing data science. Companies worldwide are using Python to harvest insights from their data and get a competitive edge. Unlike any other Python tutorial, this course focuses on Python specifically for data science. In our Intro to Python class, you will learn about powerful ways to store and manipulate data as well as cool data science tools to start your own analyses.


Course Details

 Course Name:

Python Programming

 Course Duration:

60 Hours

 Course Fee(in Rupees):

Rs.12000 + GST

 Training Mode:

Offline Classes

 Project Work:

Python Live Project

 Batch Slots:

Monday To Saturday
Saturday-Sunday

 Payment Options:

Cash, PayTM, Netbanking

Contact Branch For Free Demo Class


WHO SHOULD ENROLL FOR THIS COURSE

 Those who have interests in learning Python / Web Application

 Students

 IT Professionals

 If you want to learn Machine Learning

 If you want to become a Data Scientist


WHY LEARN FROM US ?

 Experienced and qualified trainers Consultants form product companies, IT companies and telecom companies.

 Vast experience in software development, telecom, IoT product design, development boards, etc.

 All our courses are tailored for building professionals with employable skills.

 Our IoT Trainings are structured to induct you deep into building an industry use case solutions.

 The trainers are handpicked and have immense level of experience and willing to share their experience and knowledge.

 We have a well-equipped lab that will help you accelerate your learning.

 We are experience in some of the most advanced and best courses in the cutting-edge technologies and domains both online and class room based training.


Syllabus

1. Core Python:

  •  History
  •  Features
  •  Setting up path
  •  Working with Python
  •  Basic Syntax
  •  Variable and Data Types
  •  Operator
  •  If Statement
  •  If-else Statement
  •  Nested if-else Statement
  •  For Loop
  •  While Loop
  •  Nested Loops
  •  Break
  •  Continue
  •  Pass
  •  Accessing Strings
  •  Basic Operations
  •  String Slices
  •  Functions and Methods
  •  Introduction
  •  Accessing Lists
  •  Operations
  •  Working with Lists
  •  Functions and Methods
  •  Introduction
  •  Accessing Tuples
  •  Operations
  •  Working with Tuples
  •  Functions and Methods
  •  Introduction
  •  Accessing Values In Dictionaries
  •  Working with Dictionaries
  •  Properties
  •  Functions
  •  Defining a Function
  •  Calling a Function
  •  Types of Functions
  •  Function Arguments
  •  Anonymous Functions
  •  Global and Local Variables
  •  Importing Modules
  •  Math Module
  •  Random Module
  •  Packages
  •  Composition
  •  Printing On Screen
  •  Reading Data from Keyboard
  •  Opening and Closing Files
  •  Reading and Writing Files
  •  Functions
  •  Exception
  •  Exception Handling
  •  Except for clause
  •  Try & Finally clause
  •  User-Defined Exceptions

2. Advanced Python:

  •  Class & Object
  •  Attributes
  •  Inheritance
  •  Overloading
  •  Overriding
  •  Data Hiding
  •  Match Function
  •  Search Function
  •  Matching vs Searching
  •  Modifiers
  •  Patterns
  •  Introduction
  •  Architecture
  •  CGI Environment Variable
  •  GET and POST Methods
  •  Cookies
  •  File Upload
  •  Introduction
  •  Connections
  •  Executing Queries
  •  Transactions
  •  Handling Errors
  •  Socket
  •  Socket Modules
  •  Methods
  •  Client & Server
  •  Internet Modules
  •  Thread
  •  Starting a Thread
  •  Threading Module
  •  Synchronizing Threads
  •  Multi-Threaded Priority Queue
  •  Introduction
  •  Tkinter Programming
  •  Tkinter Widgets

3. Django Framework:

  •  Software tools for a Django development environment
  •  Database abstraction (Object Relational Mapper)
    1.  Creation of a model
    2.  Model Validation
    3.  Export and import of data (via JSON)
    4.  Working with an ORM on the Command Line
  •  Using Django's admin
  •  Defining URLs at one place (Routing)
  •  In-depth explanation of function based views
  •  How to use class-based views
  •  Creating templates using Django's template engine
  •  How to handle static files in Django
  •  Managing Django's settings
  •  Different debugging techniques
  •  Logging
  •  Forms and their validation
  •  Sending email using a form
  •  Pagination
  •  Authentication
  •  Sessions and messages
  •  Security
  •  Write your own middleware
  •  Create your own tags and filters
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