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Python Programming


Python Training in Noida-Delhi

About the Course

Ethans Tech, Noida is the brand name in Python Training providing classes to working professionals, freshers and college students. Our Python Program is created by an industry experts and understands the need of the students to trained them into faster growing technologies in world.

This program is designed to provide training on Python Programming, Scirpting, Python for Data Science, Python for Webdevlopent and Python used in automation. Please refer python training in Noida syllabus in next tab.

This course is expected to take approx two months with total 15-16 classes, each class is having three-four hours training. It can take lesser time if the number of hours per day is increased.

  • Pre-requisites: No pre-requisite required for the classes . Appreciate to have the basic knowledge of any programming language.
  • Duration: 48 - 54 Hours of program
  • Lab: 15-20 Hours Theory, 35 hours lab sessions + 50 plus exercises + 75 plus assignments is a part of program
  • Special Projects on students requests and 2 POC's are part of program.
  • Ethans Python HardCopy notes and soft copy Study Material

After the python classes: As the course is focus on interview question and Python skills, students will easily crack Python interview and have advance knowledge of Python programming.

Who get

Python Training in Noida


  • Automation Engineers
  • Freshers/College Students.
  • Data analysts and scientist
  • Quality Analysts
  • DevOps Engineers
  • System Administrator
  • Robotics Engineers
  • Hardware level developers
  • UI Developers
  • Networking Professionals
  • Big Data programmers



Python classes in Noida

[Updated - Syllabus - Applicable from 1st Dec 2019 Onwards]

Module-1:   Python Basics and Foundation

  • What is Python and how it is different from other programming?
  • Why companies are preferring Python as generic programming Language?
  • Where to use Python in Day to Day IT life?
  • Difference between about Python2 and Python3
  • Download and Installing Python from
  • Set up Python on Windows, Mac and Linux Machine.
  • Understanding differenent Python IDE's like IDLE, Pycharm etc.
  • What are the unique features of Python as a language?
  • Use Python on Interactive shell and Programming Env.
  • Write your first Python Script
  • Understand Variables and Predefined - Keywords in Python
  • Difference between Keywords and function in Python?

       Python Builtin Classes and Objects 

  • What is Python Built-in Classes and Objects?
  • Int, Float and Complex Class and Object in Python.
  • What are operators and how to use the in number objects.
  • Str class and Objects in Python.
  • How to use operators in string objects.
  • List class and Objects in Python.
  • How to use operators in List objects
  • Tuple class and Object
  • How to use operators in Tuple objects
  • Dictionary Class and Object
  • How to use operators in dict objects
  • Set and frozenset class and object
  • How to use operators in set objects
  • Bool class and Objects
  • None Class and Objects
  • Different data Structures, data processing Techniques to learn.

      Programming Techniques in Python

  • Learn conditional statements and Loops
  • What are conditional statement?
  • What is if, else, elif blocks and how to use indentations in blocks.
  • Different syntax available in if-elif-else blocks.
  • How to define loops in Python?
  • What is for and while loops?
  • How to define condition on while loop.
  • What is iterator object and how to use them loops.
  • Control the loops using break and continue
  • How to iterate through the various object
  • Understand sequence and iterable objects

     User Defined functions and Built-in Class function in Python

  • What are functions?
  • Difference between Builtin and User defined functions in Python.
  • How to create user defined functions using def.
  • What is return statement and use of return in functions.
  • Defined user defined functions using parameters - positional and keyword parameter.
  • Parameterize User defined function, through named and unnamed parameters
  • Introducing Lambda functions.
  • Str class and Objects and its functions
  • List class and Objects and its functions
  • Tuple class and and its functions
  • Dictionary Class and  its functions
  • Set, frozenset class and object and its functions

     Understand Text File Handling with Python      

  • Handle different format types of files in Python.
  • How to read, write and append data using Python
  • What is file class and what are different attributes and functions available?
  • read, readlines, readline, write, writelines, flush, close functions in Python.
  • What is context manager and how to use them.
  • Defined context manager for file handling.
  • Process file data.
  • CSV, DAT, TXT, file handling.
  • File pointer and seek the pointer
  • Introduction to Python - Builtin Modules
  • os module in Python and functions available in os and os.path

Module-2 – Python Advance

      Python Libraries/Modules and Packages      

  • Discussion on Python Modules.
  • User Defined Modules, Python inbuilt Modules/libraries and 3rd Party Modules
  • Python inbuilt libraries - os, sys, logging, datetime, time, zip, json, csv etc
  • Create your own Python Modules
  • Configuration of Python UDM and Define PYTHONPATH
  • Create your own Python Packages
  • understand File for package initialization
  • Subpackage creation and modules usecases on subpackages.

     Python Exceptional Handling Features      

  • What is exception class and different builtin exceptions.
  • How to handle Python run time exceptions
  • ZeroDivisionException, NameError, TypeError and Generic Exception Class
  • Handling various exceptions using try....except...else
  • Try-finally clause
  • Argument of an Exception and create self exception class
  • Python Standard Exceptions
  • Raising an exceptions
  • User-Defined Exceptions

      Objected Oriented - Python Programming 

  • Object oriented features in Python
  • How to create classes, object and methods
  • Understand real world examples on OOP
  • Encapsulation, Inheritance, Polymorphism features in Oops
  • Implement Object oriented with Python
  • Creating Classes and Objects,  Destroying Objects
  • Accessing attributes,  Built-In Class Attributes
  • Overriding Methods,  Data Hiding
  • Overloading Operators

      Python Debugging Techniques 

  • Pycharm debugger
  • Understanding Breakpoint, continue, step in, step out and step over
  • Assert statement for debugging
  • Debug Python programs using pdb debugger
  • Step by Step Executions of program.

      Introduction of Regular Expression

  • What are regular expressions?
  • match, compile, search and findall Function
  • Matching vs searching operations
  • Search and Replace feature using RE
  • Extended Regular Expressions
  • Wildcard characters and work with them

      Python - Database Interaction

  • Introduction of Python Library sqlite3
  • Creating Databases and Tables
  • CRUD Operations,
  • Creating a Database Object.
  • Cursor Object and query execution.
  • DML and DDL Operations with Databases
  • Performing Transactions
  • Handling Database Errors
  • Disconnecting Database

      Introduction to pip and package installation

  • What is pip?
  • Install, download, uninstall, upgrade and search packages using pip.
  • Install package using pip and Pycharm
  • What is pip, easy_install  
  • Set up the environment to install packages?
  • Install packages for XLS interface and XLS parsing with Python
  • Create XLS reports with Python

      Introduction to Anaconda Distribution

  • What is Anaconda Distribution?
  • Jupyter Notebook
  • How it is different from Python Distribution?
  • How to install Anaconda?
  • conda repository
  • pip and conda to get new package
  • pip and conda commands
  • set Virtual enviornment using conda
  • Integrating Anaconda with Pycharm 

     Introduction to numpy and statistical analysis

  • numpy performance test with Python
  • Introduction to numpy arrays
  • Introduction to numpy functions
  • Dealing with Flat files using numpy
  • Mathematical functions
  • Statisticals function
  • Operations with arrays

     Introduction to pandas framework and statistical analysis

  • What is Python - Pandas framework.
  • Creating Series and data filter/transformation
  • Creating Data Frames on pandas 
  • Grouping and Sorting of dataset 
  • read data from multiple sources. csv, xls, json etc
  • Data analysis with data set 
  • Practical use cases using data analysis

     Introduction to Python Matplotlib Library

  • What is matplotlib and its gallery.
  • Create different graph from dataset
  • pie, bar, line, horizontal bar and different for of graphs.
  • read data from multiple sources. csv, xls, json and plot graphs
  • Data analysis with data set and plot graphs
  • Practical use cases using data analysis


Recent Testimonial for

Python Programming


Name: Mohan Bakshi

Review: I'm so glad that I have choosen Ethans Tech as my learning partner, it is good to have them in Noida. my trainer Himanshu has tremendous knowledge of python. Trainer way of explaining each & every topics makes learning interesting in each python class. Overall, it was a very good experience and I will recommend to attend python Training in Noida to upgrade your skill.


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