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Learning Python Programming From Scratch

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Dr. Prerna Agrawal

8:12:00

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  • 1 - Introduction to Course.mp4
    06:55
  • 2 - Introduction to Python Programming.mp4
    28:42
  • 3 - VARIABLES.pdf
  • 3 - Variables Comments and TypeCasting.mp4
    35:36
  • 4 - Numbers.pdf
  • 4 - Strings.pdf
  • 4 - Working with Strings Taking Input from User.mp4
    35:55
  • 5 - Python Operators.mp4
    27:59
  • 6 - Conditionals.pdf
  • 6 - Control Structures an Range Function.mp4
    39:04
  • 6 - Loops.pdf
  • 7 - DataTypes Lists.mp4
    28:26
  • 7 - List.pdf
  • 8 - DataTypes Sets Tuples.mp4
    32:52
  • 8 - Tuples.pdf
  • 9 - DataTypes Dictionary.mp4
    30:03
  • 9 - Dictionary.pdf
  • 10 - Arrays Command Line Arguments.mp4
    33:40
  • 11 - Functions.mp4
    24:28
  • 12 - Classes and Objects.mp4
    33:14
  • 13 - Inheritance and Overriding.mp4
    24:37
  • 14 - Abstract Classes and Interfaces.mp4
    19:31
  • 15 - Working with Date and Time.mp4
    20:48
  • 16 - Working with File Handling.mp4
    24:59
  • 17 - Working with Exception Handling.mp4
    22:08
  • 18 - Working with Regular Expressions.mp4
    23:03
  • 19 - Solution to Exercises.html
  • 19 - exercise-solution-conditionals-easy.zip
  • 19 - exercise-solution-conditionals-hard.zip
  • 19 - exercise-solution-conditionals-medium.zip
  • 19 - exercise-solution-dictionary-easy.zip
  • 19 - exercise-solution-dictionary-hard.zip
  • 19 - exercise-solution-dictionary-medium.zip
  • 19 - exercise-solution-functions-easy.zip
  • 19 - exercise-solution-functions-hard.zip
  • 19 - exercise-solution-functions-medium.zip
  • 19 - exercise-solution-list-easy.zip
  • 19 - exercise-solution-list-hard.zip
  • 19 - exercise-solution-list-medium.zip
  • 19 - exercise-solution-loops-easy.zip
  • 19 - exercise-solution-loops-hard.zip
  • 19 - exercise-solution-loops-medium.zip
  • 19 - exercise-solution-numbers-easy.zip
  • 19 - exercise-solution-numbers-medium.zip
  • 19 - exercise-solution-operators-easy.zip
  • 19 - exercise-solution-operators-hard.zip
  • 19 - exercise-solution-operators-medium.zip
  • 19 - exercise-solution-string-easy.zip
  • 19 - exercise-solution-string-hard.zip
  • 19 - exercise-solution-string-medium.zip
  • 19 - exercise-solution-tuples-easy.zip
  • 19 - exercise-solution-tuples-hard.zip
  • 19 - exercise-solution-tuples-medium.zip
  • 19 - exercise-solution-variables-easy.zip
  • 19 - exercise-solution-variables-hard.zip
  • 19 - exercise-solution-variables-medium.zip
  • 20 - Conclusion.html
  • 21 - Conclusion.html
  • Description


    Python Programming

    What You'll Learn?


    • Learn the Basic Concepts of Python
    • Help in Exploring the Python Libraries for Future
    • Explore the Procedural and Object Oriented Programming with Python
    • Getting ready to use Python for Data Science, Machine Learning, Deep learning etc

    Who is this for?


  • Beginner Python Developers who are curious about Data Science, Building WebSites and learning foundation.
  • What You Need to Know?


  • No programming experience Required.
  • More details


    Description

    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.

    Who this course is for:

    • Beginner Python Developers who are curious about Data Science, Building WebSites and learning foundation.

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    Dr. Prerna Agrawal
    Dr. Prerna Agrawal
    Instructor's Courses
    Myself Dr. Prerna Agrawal a professor with a passion of teaching to students and shape their career in IT. I have more than 10+ years of teaching experience and have specialization in Data Science, Cloud Computing, Big Data 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.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 18
    • duration 8:12:00
    • Release Date 2024/01/05