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    Python Fundamentals For Data Science

    Posted By: Sigha
    Python Fundamentals For Data Science

    Python Fundamentals For Data Science
    Last updated 2/2021
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 1.39 GB | Duration: 2h 19m

    Python for Data Science Students

    What you'll learn
    The student will cover the following fundamentals of programming concepts using Jupiter notebook.
    Addressing a string index
    Negative Index
    Access sub-strings
    Access start of sub-strings
    Access end of sub-strings
    Access sub-strings by step size
    Accessing sub-strings stepping backwards
    Iterate a string: for in statement
    Iterate by sub-string
    String Methods len()
    String Methods count()
    String Methods find()
    Creating Lists
    Accessing Lists by using Index
    Insert a new value for an index
    Appending to a list
    Insert Items into a list
    Delete a specific list index
    Empty list is false
    Delete a specific object from a list with .remove()
    Enumerate function etc
    Requirements
    Introduction to Python: For absolute beginners by Saima Aziz
    Laptop or PC with Internet Connection
    Motivation to learn
    Description
    Welcome to Fundamentals of Python. My name is Saima Aziz and I will be the instructor for this course. Python is a general purpose and high level programming language. You can use Python for developing desktop GUI applications, websites and web applications. Python is a high level programming language. It allows you to focus on core functionality of the application by taking care of common programming tasks.By taking this course, you have entered into an exciting world of self-paced, online learning! If online education is new to you, don't worry!I have carefully designed the content of the course to be comprehensive and fully compatible with industrial requirements and easy to understand.Each section will generally have some video content, reading material, problem sets, and a set of assessment questions to test your knowledge.We will use Jupiter Notebook where samples can be run, and where practice tasks and code quizzes can be completed.I encourage you to take the course from beginning to end to get the full learning experience. Some sections may be very easy for you and others will be challenging, but each section should offer something of value. There's nothing like that feeling of accomplishment when you complete something from beginning to end, so hang in there, and enjoy the course!If you get stuck, don't give up! There is enough material in the sections to help you solve the problems and your hard work will pay off.

    Who this course is for:
    Beginners, who want to learn fundamentals of Python from Scratch, curios about data science


    Python Fundamentals For Data Science


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