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Advanced Python


Workshop on “Advanced Python” concepts.


Jitendra Singh Tomar

Presenter’s description

Jitendra has overall 10+Yrs of experience in the technical industry including 6+Yrs of experience in training industry with nearly 4+Yrs of experience in production environment.

He has extensive experience in working & leading several projects in production environment.

His core expertise is in on-premises & cloud technologies.
With infrastructure management, he is also very proficient in development technologies.


  • Introduction on Python?
  • What is advance python & why it is required?
  • What will be the impact of this in real time?
  • How advance modules in python can make things easier in life?

Topics to discuss:

Module 1: Introduction to Python Programming
  • What is Python?
  • Python syntax basics: variables, data types, operators
  • Control flow statements: if-else, loops (for, while)
  • Functions in Python Modules in Python
Module 2: Data Manipulation with Python
  • Working with lists, tuples, and dictionaries
  • List comprehension and other iterable operations
  • String manipulation and formatting
  • File handling in Python
  • Introduction to libraries like NumPy and Pandas
Module 3: Introduction to Object-Oriented Programming (OOP)
  • Understanding the basics of OOP
  • Classes and objects in Python
  • Inheritance and polymorphism
  • Encapsulation and data hiding
  • Abstraction and interfaces
Module 4: Introduction to Web Scraping with Python
  • Understanding web scraping and its applications
  • HTML structure and tags
  • Introduction to libraries like Beautiful Soup and Requests
  • Extracting data from web pages
  • Handling pagination and navigating through websites
Module 5: Introduction to Data Visualization with Python
  • Why data visualization is important
  • Introduction to Matplotlib and Seaborn libraries
  • Creating basic plots: line, bar, scatter, and pie charts
  • Customizing plots: labels, colors, and styles
  • Visualizing data from Pandas DataFrame
Module 6: Introduction to Machine Learning with Python
  • Overview of machine learning concepts
  • Introduction to scikit-learn library
  • Supervised learning algorithms: regression and classification
  • Unsupervised learning algorithms: clustering and dimensionality reduction
  • Model evaluation and validation techniques

Professionals interested in a Python career

  • Anyone individual who wants to get started with Adv. Python
  • Anyone interested in Python & various frameworks.

Pre-requisites for Advanced Python

  • Basic Python experience is required.
  • Knowledge of procedural & object-oriented language

Date And Time

5th July, 23


3 Hours (2:00pm – 5:00pm)

Registrations are closed

04 July 2023

Event Type


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