Best Python Training course In Pitampura


Are you Looking Best Institute for Python Training in Pitampura DUCAT offers Python classes with live project by the expert trainer. Our training program is specially designed for Under-Graduates, Graduates, Working Professionals and Freelancers. We provide end to end learning on Python Domain with deeper dives for Creating a winning career for every profile.

What is Python?

Python programming language is a general-purpose, dynamic, high level, and powerful Programming Language. It supports Object Oriented programming ways to develop applications. It is effortless and straightforward to learn and provides lots of high-level data structures. Python is simple to learn & powerful and versatile scripting language, which creates it appealing for Application Development.

It takes place to be a natural programming language that offers its guide to numerous utility kinds, starting from schooling to organization computing to internet development. Tech MNCs like Google & HCL, together with Integra, have also made use of this language, and its popularity has continued to rise. This language has helped in bringing actual global, and computing loads close with its Raspberry Pi.

Who Can Apply in Python Courses?

Aspirants with somewhat knowledge in the computer field can apply for this Python Training in Pitampura and find how useful this training is in getting them placed in reputed IT companies across the world.

Programmers who want to add more features in an app development without any issue and trouble and that too within the shortest possible time-period will find this knowledge very useful. IT organizations and other companies will be able to reach better and quicker for everyone. Enterprises also look at this Python Training Course in Pitampura in applicants as this knowledge helps to conduct GIS analysis at ease.

Why you should Learn Python Programming?

Below are the few reasons to choose python:

  • Python has a very simple syntax which is easy to understand
  • Millions of jobs opportunities for python developers.
  • Python is one of the most leading, soft, and powerful open-source languages that are easy to learn.
  • Python is simple to use and has powerful functions for data manipulation and analysis.
  • For more than a decade, Python has been used in mathematical computing and highly quantitative rule such as finance, oil and gas, physics, and signal processing as of today.

Main objectives of the course are as follows:

  • Write python scripts, unit test code
  • Programmatically download and analyze data
  • Learn techniques to deal with different types of data, i.e., ordinal, categorical, encoding
  • Learn data visualization

Why Ducat is The Best Institute for Python Training?

Python Training in Pitampura is always a good idea for those who wish to be a part of this constantly developing industry. Python Language is not only easy to grasp but emphasizes less on syntax, which is why a few mistakes here and there doesn't give as much trouble as some other languages do.

At Ducat, our course syllabus is designed by highly experienced professionals. It contains some concepts of programming such as classes, functions, OOPs, memory management, garbage collections, standard library modules, iterators, exception handling, and many more, which helps students at every stage of learning. At Ducat Pitampura, we believe that you are the future of the IT industry, and we prepare you for a career with top MNCs Organizations.

We are a reputed Institute that is popular for providing Best Python Training Institute in Delhi NCR If you are looking for Best Python Training in Delhi NCR. Visit our Institute. We are certified partners with various Multi-National Companies, and we provide our students with professional certification.

Why Enroll in Our Python Training Course?

This Python Course in Pitampura will teach you the basics of the Python scripting language and will provide you with a solid foundation for writing Python scripts. Our Python Certification Program offers comprehensive instruction and the tools to demonstrate proficiency in this popular language.

After Python Training Courses, you will get confidence in programming and can work on your projects. As most of the companies are offering jobs for those employees who know of Python programming language, there are a lot of job opportunities in Python. Thus python programming courses will be beneficial for your growth in the industry. The only need for a student is to select the right direction from the right place like Ducat, the Best IT Training Institute in Delhi NCR.

Why Choose Ducat for Python Course?

Ducat has a dedicated team of highly expert trainers to identify, evaluate, implement, and providing Best Python Training Institute in Pitampura for our students. Our Trainers leverages a defined methodology that helps identify opportunity, develop the most optimal resolution, and maturely execute the solution. We have the best trainers across the world to provide training who are highly qualified and are best in their field.

Training & Placement

The Training & Placement cell is devoted to providing all available help to the candidates in their efforts to follow out employment and Best Python Internships in Pitampura in every area. The placement administration works beside alternative administration as a team in moulding the scholars to the fundamental of varied industries.

Career after Python Programming Training Course

  • There are millions of job openings for python developers.
  • Python is a widely-used programming language for web development language, and this fact will create more and more job opportunities for python skills.
  • Due to the developing demand for websites, web applications & artificial intelligence, python has captured the market for its survival.
  • If you look at the famous job market and search for python developer jobs, you will realize the importance of this language.

Introduction to Languages

  • What is Language?
  • Types of languages
  • Introduction to Translators
  • Compiler
  • Interpreter
  • What is Scripting Language?
  • Types of Script
  • Programming Languages v/s Scripting Languages
  • Difference between Scripting and Programming languages
  • What is programming paradigm?
  • Procedural programming paradigm
  • Object Oriented Programming paradigm

Introduction to Python

  • What is Python?
  • History
  • Features – Dynamic, Interpreted, Object oriented, Embeddable, Extensible, Large standard libraries, Free and Open source
  • Why Python is General Language?
  • Limitations of Python
  • What is PSF?
  • Python implementations
  • Python applications
  • Python versions
  • Difference between Python 2.x and 3.x
  • Difference between Python 3.7 and 3.8
  • Software Development Architectures

Python Software's

  • Python Distributions
  • Download &Python Installation Process in Windows, Unix, Linux and Mac
  • Online Python IDLE
  • Python Real-time IDEs like Spyder, Jupyter Note Book, PyCharm, Rodeo, Visual Studio Code, ATOM, PyDevetc

Python Language Fundamentals

  • Python Implementation Alternatives/Flavors
  • Keywords
  • Identifiers
  • Constants / Literals
  • Data types
  • Python VS JAVA
  • Python Syntax

Different Modes of Python

  • Interactive Mode
  • Scripting Mode
  • Programming Elements
  • Structure of Python program
  • First Python Application
  • Comments in Python
  • Python file extensions
  • Setting Path in Windows
  • Edit and Run python program without IDE
  • Edit and Run python program using IDEs
  • Programmers View of Interpreter
  • What is Byte Code in PYTHON?
  • Python Debugger

Python Variables

  • bytes Data Type
  • byte array
  • String Formatting in Python
  • Math, Random, Secrets Modules
  • Introduction
  • Initialization of variables
  • Local variables
  • Global variables
  • 'global' keyword
  • Input and Output operations
  • Data conversion functions – int(), float(), complex(), str(), chr(), ord()


  • Arithmetic Operators
  • Comparison Operators
  • Python Assignment Operators
  • Logical Operators
  • Bitwise Operators
  • Shift operators
  • Membership Operators
  • Identity Operators
  • Ternary Operator
  • Operator precedence
  • Difference between “is” vs “==”

Control Statements

  • Conditional control statements
  • Loop control statements
  • For
  • while
  • Break
  • Continue
  • Pass

Data Structures or Collections

  • Introduction
  • Importance of Data structures
  • Applications of Data structures
  • Types of Collections
  • Sequence
  • Strings, List, Tuple, range
  • Non sequence
  • Set, Frozen set, Dictionary
  • Strings
  • What is string
  • Representation of Strings
  • Processing elements using indexing
  • Processing elements using Iterators
  • Manipulation of String using Indexing and Slicing
  • String operators
  • Methods of String object
  • String Formatting
  • String functions
  • String Immutability

List Collection

  • What is List
  • Need of List collection
  • Different ways of creating List
  • List comprehension
  • List indices
  • Processing elements of List through Indexing and Slicing
  • List object methods
  • List is Mutable
  • Mutable and Immutable elements of List
  • Nested Lists
  • List_of_lists
  • Hardcopy, shallowCopy and DeepCopy
  • Zip() in Python
  • How to unzip?
  • Python Arrays:
  • Case studies

Tuple Collection

  • What is List
  • Need of List collection
  • Different ways of creating List
  • List comprehension
  • List indices
  • Processing elements of List through Indexing and Slicing
  • List object methods
  • List is Mutable
  • Mutable and Immutable elements of List
  • Nested Lists
  • List_of_lists
  • Hardcopy, shallowCopy and DeepCopy
  • Zip() in Python
  • How to unzip?
  • Python Arrays:
  • Case studies

Set Collection

  • What is set?
  • Different ways of creating set
  • Difference between list and set
  • Iteration Over Sets
  • Accessing elements of set
  • Python Set Methods
  • Python Set Operations
  • Union of sets
  • Functions and methods of set
  • Python Frozen set
  • Difference between set and frozenset ?
  • Case study

Dictionary Collection

  • What is dictionary?
  • Difference between list, set and dictionary
  • How to create a dictionary?
  • Accessing values of dictionary
  • Python Dictionary Methods
  • Copying dictionary
  • Updating Dictionary
  • Reading keys from Dictionary
  • Reading values from Dictionary
  • Reading items from Dictionary
  • Delete Keys from the dictionary
  • Sorting the Dictionary
  • Python Dictionary Functions and methods
  • Dictionary comprehension


  • What is Function?
  • Advantages of functions
  • Syntax and Writing function
  • Calling or Invoking function
  • Classification of Functions
  • No arguments and No return values
  • With arguments and No return values
  • With arguments and With return values
  • No arguments and With return values
  • Recursion
  • Python argument type functions :
  • Default argument functions
  • Required(Positional) arguments function
  • Keyword arguments function
  • Variable arguments functions
  • 'pass' keyword in functions
  • Lambda functions/Anonymous functions
  • · map()
  • · filter()
  • · reduce()
  • Nested functions
  • Non local variables, global variables
  • Closures
  • Decorators
  • Generators
  • Iterators

Python Modules

  • Importance of modular programming
  • What is module
  • Types of Modules – Pre defined, User defined.
  • User defined modules creation
  • Functions based modules
  • Class based modules
  • Connecting modules
  • Import module
  • From … import
  • Module alias / Renaming module
  • Built In properties of module


  • Organizing python project into packages
  • Types of packages – pre defined, user defined.
  • Package v/s Folder
  • py file
  • Importing package
  • PIP
  • Introduction to PIP
  • Installing PIP
  • Installing Python packages
  • Un installing Python packages


  • Procedural v/s Object oriented programming
  • Principles of OOP – Encapsulation , Abstraction (Data Hiding)
  • Classes and Objects
  • How to define class in python
  • Types of variables – instance variables, class variables.
  • Types of methods – instance methods, class method, static method


  • Procedural v/s Object oriented programming
  • Principles of OOP – Encapsulation , Abstraction (Data Hiding)
  • Classes and Objects
  • How to define class in python
  • Types of variables – instance variables, class variables.
  • Types of methods – instance methods, class method, static method
  • Object initialization
  • 'self' reference variable
  • 'cls' reference variable
  • Access modifiers – private(__) , protected(_), public
  • AT property class
  • Property() object
  • Creating object properties using setaltr, getaltr functions
  • Encapsulation(Data Binding)
  • What is polymorphism?
  • Overriding
  • 1. Method overriding
  • 2. Constructor overriding
  • Overloading
  • 1. Method Overloading
  • 2. Constructor Overloading

Operator Overloading

  • Class re-usability
  • Composition
  • Aggregation
  • Inheritance – single , multi level, multiple, hierarchical and hybrid inheritance and Diamond inheritance
  • Constructors in inheritance
  • Object class
  • super()
  • Runtime polymorphism
  • Method overriding
  • Method resolution order(MRO)
  • Method overriding in Multiple inheritance and Hybrid Inheritance
  • Duck typing
  • Concrete Methods in Abstract Base Classes
  • Difference between Abstraction & Encapsulation
  • Inner classes
  • Introduction
  • Writing inner class
  • Accessing class level members of inner class
  • Accessing object level members of inner class
  • Local inner classes
  • Complex inner classes

Exception Handling & Types of Errors

  • What is Exception?
  • Why exception handling?
  • Syntax error v/s Runtime error
  • Exception codes – AttributeError, ValueError, IndexError, TypeError…
  • Handling exception – try except block
  • Try with multi except
  • Handling multiple exceptions with single except block
  • Finally block
  • Try-except-finally
  • Try with finally
  • Case study of finally block
  • Raise keyword
  • Custom exceptions / User defined exceptions
  • Need to Custom exceptions

Regular expressions

  • Understanding regular expressions
  • String v/s Regular expression string
  • “re” module functions
  • Match()
  • Search()
  • Split()
  • Findall()
  • Compile()
  • Sub()
  • Subn()
  • Expressions using operators and symbols
  • Simple character matches
  • Special characters
  • Character classes
  • Mobile number extraction
  • Mail extraction
  • Different Mail ID patterns
  • Data extraction
  • Password extraction
  • URL extraction
  • Vehicle number extraction

File &Directory handling

  • Introduction to files
  • Opening file
  • File modes
  • Reading data from file
  • Writing data into file
  • Appending data into file
  • Line count in File
  • CSV module
  • Creating CSV file
  • Reading from CSV file
  • Writing into CSV file
  • Object serialization – pickle module
  • XML parsing
  • JSON parsing

Python Logging

  • Logging Levels
  • Implement Logging
  • Configure Log File in over writing Mode
  • Timestamp in the Log Messages
  • Python Program Exceptions to the Log File
  • Requirement of Our Own Customized Logger
  • Features of Customized Logger

Date & Time module

  • How to use Date & Date Time class
  • How to use Time Delta object
  • Formatting Date and Time
  • Calendar module
  • Text calendar
  • HTML calendar

Multi-threading & Multi Processing

  • Introduction
  • Multi tasking v/s Multi threading
  • Threading module
  • Creating thread – inheriting Thread class , Using callable object
  • Life cycle of thread
  • Single threaded application
  • Multi threaded application
  • Can we call run() directly?
  • Need to start() method
  • Sleep()
  • Join()
  • Synchronization – Lock class – acquire(), release() functions
  • Case studies

Garbage collection

  • Introduction
  • Importance of Manual garbage collection
  • Self reference objects garbage collection
  • 'gc' module
  • Collect() method
  • Threshold function
  • Case studies

Python Data Base Communications

  • Introduction to DBMS applications
  • File system v/s DBMS
  • Communicating with MySQL
  • Python – MySQL connector&PyMysql
  • connector module
  • connect() method
  • Oracle Database
  • Install cx_Oracle
  • Cursor Object methods
  • execute() method
  • executeMany() method
  • fetchone()
  • fetchmany()
  • fetchall()
  • Static queries v/s Dynamic queries
  • Transaction management
  • Connection with NoSQL

Python – Network Programming

  • What is Sockets?
  • What is Socket Programming?
  • The socket Module
  • Server Socket Methods
  • Connecting to a server
  • A simple server-client program
  • Server
  • Client


  • Introduction to GUI programming
  • Tkinter module
  • Tk class
  • Components / Widgets
  • Label , Entry , Button , Combo, Radio
  • Types of Layouts
  • Handling events
  • Widgets properties
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