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Python Fundamentals For Absolute Beginner Using Google Colab

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Zeeshan Ahmad

6:19:17

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  • 1 - Introduction of the course.mp4
    04:43
  • 1 - Introduction-of-the-course.mp4
    04:42
  • 2 - Course-Material.zip
  • 2 - Lecture 2 Course Material.html
  • 3 - Introduction of the Section.mp4
    02:23
  • 4 - Using Google Colab for Coding.mp4
    19:03
  • 5 - Arithmetic Operations With Python.mp4
    10:09
  • 6 - Comparison and Logical Operators.mp4
    05:53
  • 7 - Conditional Statements.mp4
    08:14
  • 8 - Arrays With NumPy Part01.mp4
    11:32
  • 9 - Arrays With NumPy Part02.mp4
    15:02
  • 10 - Arrays With NumPy Part03.mp4
    10:52
  • 11 - Plotting and Visualization Part01.mp4
    17:51
  • 12 - Plotting and Visualization Part02.mp4
    15:03
  • 13 - Plotting and Visualization Part03.mp4
    13:34
  • 14 - Plotting and Visualization Part04.mp4
    07:35
  • 15 - Working With Lists in Python.mp4
    20:27
  • 16 - for loops Part01.mp4
    21:03
  • 17 - for loops Part02.mp4
    20:36
  • 18 - while loop.mp4
    12:16
  • 19 - Strings in Python.mp4
    12:39
  • 20 - Print formatting with strings.mp4
    03:36
  • 21 - Dictionaries Part01.mp4
    07:11
  • 22 - Dictionaries Part02.mp4
    08:04
  • 23 - Seaborn Part01.mp4
    08:21
  • 24 - Seaborn Part02.mp4
    06:50
  • 25 - Seaborn Part03.mp4
    07:16
  • 26 - Pandas Part01.mp4
    06:24
  • 27 - Pandas Part02.mp4
    05:20
  • 28 - Pandas Part03.mp4
    08:54
  • 29 - Pandas Part04.mp4
    05:54
  • 30 - Creating Function in Python Part01.mp4
    08:16
  • 31 - Creating Function in Python Part02.mp4
    07:59
  • 32 - Creating Classes in Python.mp4
    15:50
  • 33 - Tuples in Python.mp4
    06:25
  • 34 - lambda function in python.mp4
    08:48
  • 35 - map function.mp4
    07:47
  • 36 - reduce function.mp4
    05:13
  • 37 - filter function.mp4
    04:47
  • 38 - zip function.mp4
    08:31
  • 39 - join function.mp4
    04:14
  • Description


    Fundamental Course of Python Programming for Absolute beginners. This course covers all the fundamental Python Libraries

    What You'll Learn?


    • Google Colab for Python Programming
    • Operators used in Python.
    • How to create and use arrays in Python using NumPy
    • Built-in functions in NumPy
    • Generating Random Numbers using NumPy
    • How to plot and visualize the data using Matplotlib.
    • How to create lists and use them in Python
    • for loops and while loops in Python
    • Strings in Python
    • How to create dictionaries and use them in Python.
    • Seaborn Library
    • Pandas
    • Creating Functions in Python
    • Creating Classes in Python
    • Tuples
    • The lambda( ) function
    • map( ), reduce( ) and filter( ) functions
    • zip( ) and join( ) functions

    Who is this for?


  • Anyone who wants to learn Python from scratch.
  • Students and Researchers in Artificial Intelligence
  • Students and Researchers who want to develop Python Programming skills to solve their Tasks.
  • Want to switch from Other Programming Languages to Python
  • What You Need to Know?


  • Only the gmail account
  • More details


    Description

    Fundamental Course of Python Programming for Absolute beginners using Google Colab. This course covers all the fundamental libraries such as NumPy, Matplotlib, Pandas, Seaborn etc. Furthermore many built-in Python function are explained with examples.

    Course Contents

    Introduction of the Google Colab

    Operators in Python

    Arrays with Numpy

    Matplotlib for Data Visualization

    Lists in Python

    Loops in Python

    Strings in Python

    Dictionaries in Python

    Seaborn

    Pandas

    Functions

    Creating Classes in Python

    Tuples

    lambda() function

    map() replace() and filter() functions

    zip() and join()


    Who this course is for:


    • Anyone who wants to learn Python from scratch.

    • Students and Researchers in Artificial Intelligence.

    • Students and Researchers who want to develop Python Programming skills to solve their Tasks.

    • Want to switch from Other Programming Languages to Python.

    What you’ll learn

    • Operators used in Python.

    • How to create and use arrays in Python using NumPy

    • Built-in function in NumPy

    • Generating Random Number using NumPy

    • How to plot and visualize the data using Matplotlib.

    • How to create lists and use them in Python

    • for loops and while loops in Python

    • Strings in Python

    • How to create dictionaries and use them in Python.

    • Seaborn Library

    • Pandas

    • Creating Functions in Python

    • Creating Classes in Python

    • Tuples

    • The lambda( ) function

    • map( ), reduce( ) and filter( ) functions

    • zip( ) and join( ) functions


    Who this course is for:

    • Anyone who wants to learn Python from scratch.
    • Students and Researchers in Artificial Intelligence
    • Students and Researchers who want to develop Python Programming skills to solve their Tasks.
    • Want to switch from Other Programming Languages to Python

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    Zeeshan Ahmad
    Zeeshan Ahmad
    Instructor's Courses
    Dr. Zeeshan is PhD in Electrical and Computer Engineering from Ryerson University Toronto. He has more than 18 years of teaching and research experience. He has taught many courses related to Computer and Electrical Engineering. His research interests include Machine learning, Deep learning, Computer vision, Signal and Image processing and multimodal fusion. He has publications in reputed journals and conferences.
    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 39
    • duration 6:19:17
    • Release Date 2023/12/07