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Python for Professionals

Python is a popular programming language founded by Guido van Rossum in 1991. It is an interpreted, object-oriented, high-level programming language with dynamic semantics. Python is simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.

Uses of Python
  • Python can be used on a server to create web applications.

  • Python can be used alongside software to create workflows.

  • Python can connect to database systems. It can also read and modify files.

  • Python can be used to handle big data and perform complex mathematics.

  • Python can be used for rapid prototyping, or for production-ready software development.


Since there is no compilation step, the edit-test-debug cycle is incredibly fast. Debugging Python programs is easy: a bug or bad input will never cause a segmentation fault. A source level debugger allows inspection of local and global variables, evaluation of arbitrary expressions, setting breakpoints, stepping through the code a line at a time. Instead, when the interpreter discovers an error, it raises an exception. When the program doesn't catch the exception, the interpreter prints a stack trace. . The debugger is written in Python itself, testifying to Python's introspective power. On the other hand, often the quickest way to debug a program is to add a few print statements to the source: the fast edit-test-debug cycle makes this simple approach very effective.

Why Work on Python
  • Python works on different platforms (Windows, Mac, Linux, Raspberry Pi, etc).

  • Python has a simple syntax similar to the English language.

  • Python has syntax that allows developers to write programs with fewer lines than some other programming languages.

  • Python runs on an interpreter system, meaning that code can be executed as soon as it is written. This means that prototyping can be very quick.

  • Python can be treated in a procedural way, an object-oriented way or a functional way.

KVT Classes is the most reputed python training institute in Delhi which delivers hands-on Python training in Delhi. This training is completely based on practical exercises which helps candidates to acquire required professional skills. Our Trainers are industry experts and previously worked as researchers, managers, analysts, and consultants and have great experience in their respected fields. Our Institution provides job-oriented python training in Delhi which helps students in getting their dream jobs. The students are provided with the opportunities to gain in-depth knowledge and experience on real-time python projects.

Python course which includes complete introduction of python, loops, data types, variables, decision making, modules, packages, functions, class objects, regular expressions, socket programming, and many more. The course duration of this course is 2 months. KVT Classes is the credible and one of the best python training institutes in Delhi which have a 100% job assistance and placement support. After successfully completing the course training, you will be awarded with the certification which is recognized by many industries and a validation proof that one has the skills and expertise.

All the aspirants are going to learn from the basic level to advanced levels of programming in python technology. After completion of this course, you will become the master in python programming, socket programming, how to create functions and implement them and many more. Our students are going to learn from industry experts who mainly focus on present industry standards. This technology is in huge demand and many young professionals want to work in this technology. Our training program course content fulfills all the needs of basics and advanced level. This python course in Delhi has been designed as per the latest trends and industry recommendation and professional requirement of learners. These kinds of training makes students ready to face real time issues related to job.

What you will learn in Python
Step-by-Step Learning Python Language includes the following segments
Introduction to Python
  • What is python

  • History of python

  • Installation and Configuration of Python

  • Introduction to Eclipse IDE

  • Pydev plugin for python interpreter

  • Understanding python variables

  • Python basic operators

  • Understanding python blocks

  • Introduction to Anaconda

  • Understanding Spyder and Jupyter

Variables and Datatypes in Python
  • Variables in Python

  • Data types in Python

  • Memory mapping of variables

  • Keywords in Python

  • Comments in Python

  • Declaring and using Numeric data types

  • Using string data type and string operations

  • Working on python list

  • Working on tuple data type

  • Operators in Python

  • Basic I/O and Type Casting

  • Getting User Input

Program flow control using Python
  • Introduction of Decision Making

  • Control flow and syntax

  • The if statement

  • The if..else statement

  • The if..elseif..else statement

  • Nested if..else statement

  • The while loop

  • Break and continue statements

  • For loop using ranges, string, list and dictionaries

  • Continue and break statement in loop

Lists and Tuples
  • Introduction to python ‘list’ data types

  • Properties of list

  • List build-in functions

  • Programming with lists

  • Lists common methods

  • List comprehension

  • Multidimensional lists

  • Introduction to python ‘tuple’ data type

  • Tuples as read only lists

  • project : employee data management by using List

String, List and Dictionary Manipulations
  • Introduction to Python ‘dictionary’ data types

  • Creating a dictionary

  • Dictionary built-in functions

  • Introduction to python ‘set’ data types

  • Set properties

  • Set built-in functions

  • List manipulation using in build methods

  • Dictionary manipulation programming

  • String, list and dictionary in build functions

  • Project: banking system project by using dictionary

Functions, Modules and Packages in Python
  • Introduction to functions

  • Function definition and return

  • Funcion call and reuse

  • Function parameters

  • Function recipe and docstring

  • Built in functions

  • Scope in variables

  • Recursive functions

  • Iterators

  • Generators

  • Zip functions

  • Closures

  • Decorators

  • Map, filter and reduce functions

  • Working on Python modules

  • Importing own module as well as external modules

  • Understanding packages

  • Lambda function in python

  • Programming using functions, modules

  • External packages

File Handling in Python
  • Working with files

  • File objects and modes of file operations

  • Reading, writing and use of ‘with’ keyword

  • Handling comma separated values files (CSV file handling)

  • CSV reading and writing with Dictwriter

  • Pickling (Pickle file handling)

  • Reading data from files in python

  • Writing data into files in python

  • Understanding read functions, read(), readline() and readlines()

  • Understanding write functions, write() and writelines()

  • Programming using file operations

  • Project: fruit store data management

Python Object Oriented Programming
  • Concepts of class, object and instances

  • Practical implementation of classes and objects

  • Constructor, class attributes

  • Destructors

  • Inheritance, overlapping and overloading

  • Operators

  • Programming using oops support

  • Inheritance

  • Function overriding in Inheritance

  • Self keyword in python

Exception Handling in Python
  • What is assertion in python

  • The assert statement

  • Understanding abnormal termination

  • What is exception handling

  • Handing and helping developer with error code

  • Programming using exception handling

  • The except clause with no exceptions

  • The except clause with multiple exceptions

  • The try-finally clause

  • Arguments of an exception

Database Handling in Python
  • Understanding basics of SQL

  • Working on different RDBMS like db2, mysql

  • Making database connection through python

  • Creating a Database

  • Creating a table

  • Inserting data into table

  • Reading from database table

  • Updating records in a table

  • Deleting records in a table

  • Hands on lab on Database connectivity

Numpy Package in Detail
  • What is Numpy? Importing Numpy

  • Numpy Overview

  • Numpy Array Creation and Basics operations

  • Numpy Universal functions

  • Selecting and retrieving data

  • Data slicing

  • Iterating Numpy data shape

  • Manipulating and stacking and splitting

  • Copy and view and no copy

  • Indexing and boolean array

Email Sending Automation
  • Understanding SMTP

  • Setting up a gmail account for development

  • Setting up local SMTP server

  • Sending your plain text email

  • Send mail including html content

  • Adding attachments using the email package

  • Make a CSV file with relevant personal info

  • Personalized content

  • Code examples

  • Sending email with sendmail functions

Socket Programming
  • What are sockets?

  • Creating sockets

  • Vocabulary of sockets

  • The socket module

  • Server-client socket methods

  • Client socket methods

  • General socket methods

  • A simple server

  • A simple client

  • Connecting client server

Tkinter GUI Application
  • Introduction to Tkinter module

  • Using root window

  • Creating frames

  • Using labels and buttons

  • Using text and entry widgets

  • KM to M convertor application

How to create setup file for Project
  • Know different aspects of python programming

  • Use Variables to track data

  • Create Desktop application

  • Know all the debugging strategies