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"Master Python from the Ground Up!"
Updated on Sep, 2026
Programming, Programming Languages, Python
Duration - 7.5 hours
Training 5 or more people ?
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Python is frequently used for data analysis, data visualization, task automation, and the development of software and websites. Many non-programmers, including scientists and accountants, have embraced Python due to its ease of learning, and they use it for a range of daily chores, including managing finances.
Python has emerged as a key language in data science, enabling experts in the field to perform intricate statistical computations, generate data visualizations, construct machine learning algorithms, work with and analyze data, and accomplish other data-related tasks.
Python is often used to develop the back end of a website or application—the parts that a user doesn’t see. Python’s role in web development includes sending data to and from servers, processing data and communicating with databases, routing URLs, and ensuring security. Python offers several frameworks for web development. Commonly used ones include Django and Flask.
Python is an object-oriented, high-level, interpreted, interactive, general-purpose, open-source programming language that is best suited for software development. Many topics, including Python Language Fundamentals, Setting Up Python Programming Environments, Python Object-Oriented Programming, Python Data Types, Working with Files, Date-Time, Regular Expressions, and Exception Handling, are covered in this Python course. This course is for anyone who wants to learn the foundations of Python.
Check out the detailed breakdown of what’s inside the course
Myself Dr. Prerna Agrawal a professor with a passion for teaching students and shaping their careers in IT. I have more than 13+ years of teaching experience and have a specialization in Machine Learning, Data Science, Cloud Computing, Big Data, Mobile Technology, Databases etc. The teaching style for programming will be fully based on live practical demo sessions.
Learning with me will be fun, and the outcome will be that the student will be able to use the knowledge gained from real-time problems to obtain solutions.
The methodology used will be presentations, practical demos, practical exercises and case studies to be solved.
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