Classroom based ONLINE CLASSES /OFFLINE CLASSES as well.

Elementor #893

Python with Django

Course Duration : 4 weeks/6 weeks / 3 months
What you will learn: Python+DBMS+Django 
Projects: 10+Live Projects(Desktop App/Web App)
Prerequisites: No pre-requisite required
Course Fees 5200/-  2600/-(50% Off)
Teacher’s Qualification: 8 year+ Experienced Teacher
Student Rating :

Python Training in Durgapur

Python is a high-level programming language (HLPL), as well as considered as a scripting language like Ruby and Perl, which is mainly designed to make readability easier and much simpler to implement. It is used to create dynamic Web Content and Web Applications, supported by various 2D & 3D imaging programs which enables users to create ‘custom plug-ins and extensions’ with Python.. It is free-to-use for all applications, like commercial and domestic as well, that’s why it is called ‘Open-Source’. It runs on Mac, UNIX and Windows systems, and could be ported to .NET and Java virtual machines (VMs). Naming a few Python supportable applications are Python API include GIMP, Autodesk Maya, Blender and Inkscape.  Python, which is an Open Source Programming Language (OSPL), was made by a Dutch Programmer named Guido van Rossum, after the television show ‘Monty Python’s Flying Circus’, in the year 1991. The Python code is available under GNU’s General Public License (GPL), and is offered by AICT Pvt. Ltd. Located at Bidhannagar. It is the Best Python Training Institute in Durgapur, and is a renowned place of knowledge and wisdom if you want to learn the very best of Python. The institute is registered under Govt. of India to provide Industrial and Professional Training to all the students from IT and Commerce backgrounds.

Future Scope

Python, as you now know, is a high-level multi-paradigm programming language which has all the features of traditional programming languages like Java, C and C++. It has proved itself as one of the fastest growing languages from its adoption time that is more than 25 years so far. Python is serving as one of the best language for programming of application development, game development, web development, system administration, numeric and scientific computing, Mapping and GIS etc. This language supports all the OOPs concepts, has a large set of Library and tools, gets a vast community support and the best among all is the ‘fewer lines-of-codes’ feature. Some of the future technologies like Artificial Intelligence, Big Data, and Networking are counting on Python and using this language as core element for their research and development purpose.

Course Syllabus

  • Creating empty sets and modifying the empty sets
  • Why sets not support indexing and slicing
  • Add, remove and discard the elements to set data structure
  • Issubset is a superset and is disjoint
  • Union, intersection, and difference
  • Intersection_update and defference_update
  • Symmetric_difference and symmetric_difference_update


  • Converting given string data structure into a set
  • Converting a given list data structure into a set
  •  Converting given tuple data structure into a set
  • Converting a given set data structure into a string
  • Converting a given set data structure into a list
  • Converting a given set data structure into a tuple
  • Dictionary Data Structure
  • Creating and working with the dictionary data structure in different ways
  • Creating an empty dictionary and working with an empty dictionary
  • Working with key and value pairs
  • Dictionary mutable and unpacking dictionary
  • Adding and deleting key and value pairs to the existing data structure
  • Difference between pop and pop item operations
  • Extracting only keys from the existing data structure
  • Extracting only values from the existing data structure
  • Clear and pop methods
  • Del keyword and pop method
  • Creating a dictionary from existing another data structure like tuple
  • FAQs on all Data Structures


  • Arithmetic operators
  • Logical operators
  • Assignment operators
  • Comparison operators
  • Bitwise operators
  • Identity operators
  • Membership operators
  • Python Functions and Arguments
  •  Defining functions and working with functions
  •  Using def keyword for functions
  •  Called functions and function definition and calling functions
  •  Formal arguments and actual arguments
  •  Working with named arguments and keyword arguments
  •  Default arguments and positional arguments
  •  Working with default arguments and normal arguments
  •  *args and **kwargs arguments
  •  Argument unpacking
  •  Variable-length arguments
  •  Using data structures to function definitions
  •  Nested functions
  •  Dir() and Format() functions
  •  Enumerate function
  •  FAQs on functions and Arguments

Lambda Functions

  • Creating functions by using lambda keyword
  • Difference between def and lambda functions
  • Working with filter functions
  • Working with map functions
  • Working with reduce functions

Control Statements

  •  Simple If statement
  •  If else statement
  •  Elif statement
  •  Nested if statement
  •  Membership test for string
  •  Membership test for tuple
  •  Membership test for a list
  •  Membership test for set
  •  Membership test for dictionary
  •  FAQs on control statements


  •  For loop
  •  While loop
  •  Pass, continue and break statements
  •  Iterating over list, tuple, set, and dictionary

Advanced Concepts in Data Structures.

  •  List comprehension
  •  Dictionary comprehension
  •  Nested data structures

File Handling

  •  Creating a file in a directory
  •  Open the file in the python
  •  Different ways to open the file in Python
  •  Writing to the file
  •  Appending the data to the existing file
  •  Modes of operations
  • Seek and tell methods
  •  Readline and deadlines
  •  Working with words and characters in the file
  •  Real-time scenarios on files
  •  Interview based questions on the file

OOPS Concepts

  •  Class and object
  •  Class variables and instance variables
  •  Constructor
  •  Data hiding
  •  Method overloading and overriding
  •  Abstraction
  •  Inheritance
  •  Polymorphism
  •  Encapsulation


  •  What is module and purpose of modules
  •  Different types of modules
  •  Different ways to import modules
  •  Standard modules and user modules
  •  From … import *
  •  Creating own modules
  •  Using modules in other modules
  •  Working with some standard modules

Exception Handling in Python

  • Iterators, generators, and decorators
  • Working with the yield keyword
  • Difference between yield and return
  • Decorating a function with another function
  • Regular Expressions

Basics of regular expressions

  • Find all function
  • Search function
  • Match methods


  • Groups
  • Matching and searching
  • Compile and sub-functions
  • Mobile numbers verifications
  • Email ids verifications
  • Web scrapping
  • Command Line Arguments
  • Reading command-line arguments
  • Using command-line arguments
  • Working with Database Connection
  • Connecting to a database from Python application
  • Creating a connection to the database from Python application
  • Creating a database and tables from Python applications to the database
  • Fetching data and updating data in the entities.
  • Using a cursor to execute SQL command in Python application
  • Using Fetchall and Fetchone methods

Introduction to Django framework

  •  Introduction to Django framework
  •  Creating a project and application
  •  URLs, models, templates and views files,
  •  Introduction to web development
  •  Introduction to Pycharm

  1. Message Encode & Decode
  2. Color Game
  3. Internet Banking System
  4. Paytm Wallet
  • Language Fundamentals
  • Introduction to Python and what is a Python
  • What can we do by using Python
  • Features and versions of Python
  • Different languages used to develop Python
  • Interactive mode and Script mode
  • Interpreter vs Compiler
  • Scripting vs Programming Languages
  • Reasons to learn or work Python
  • Python Indentation
  • Comments and Quotations
  • Python Identifiers and Keywords
  • Variables
  • Assigning values to variables in different ways
  • Print(), type() and id()
  • Reading data from user
  • Working with the input function
  • Python data types
  • Type conversions and eval()
  • Introduction to Data Structures
  • String Data Structure
  • Different ways to create a string
  • String indexing and string slicing
  • string concatenation and string multiplication
  • string unpacking
  • splitting the data into different parts as per user
  • capitalize() and title() and split()
  • del, count(), find(), swap case(), reverse(),replace() and sort()
  • string immutable
  • List Data Structure:
  • different ways to create a list
  • creating and working with homogeneous lists
  • creating working with heterogeneous lists
  • list indexing and list slicing
  • list concatenation and list multiplication
  • generating a list by using the range function
  • list unpacking and list mutable
  • creating nested lists and indexing nested lists
  • Python range() and range() functions
  • python insert, append and extend
  • remove, pop and clear
  • python list ascending and descending
  • converting given string data structure into a list
  • converting the given list data structure into a string
  • creating a list from user values
  • Tuple Data Structure
  • creating a tuple in different ways
  • creating and working with homogeneous tuple
  • creating and working with heterogeneous tuple

Book For Final Year Project

It has never been easier to make Concept and fulfill that.

Project Complete
Accepted in College