HOT
blank

Python Fundamentals For Absolute Beginner Using Google Colab

Development

Rating5
Enroll Now

Python Fundamentals For Absolute Beginner Using Google Colab, available at $19.99, has an average rating of 5, with 39 lectures, based on 1 reviews, and has 19 subscribers.

You will learn about 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 This course is ideal for individuals who are Anyone who wants to learn Python from scratch. or Students and Researchers in Artificial Intelligence or Students and Researchers who want to develop Python Programming skills to solve their Tasks. or Want to switch from Other Programming Languages to Python It is particularly useful for Anyone who wants to learn Python from scratch. or Students and Researchers in Artificial Intelligence or Students and Researchers who want to develop Python Programming skills to solve their Tasks. or Want to switch from Other Programming Languages to Python.

Enroll now: Python Fundamentals For Absolute Beginner Using Google Colab

Summary

Title: Python Fundamentals For Absolute Beginner Using Google Colab

Price: $19.99

Average Rating: 5

Number of Lectures: 39

Number of Published Lectures: 39

Number of Curriculum Items: 39

Number of Published Curriculum Objects: 39

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will 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 Should Attend

  • 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

Target Audiences

  • 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

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

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction of the course

Lecture 2: Lecture 2: Course Material

Chapter 2: Introduction of Google Colab

Lecture 1: Introduction of the Section

Lecture 2: Using Google Colab for Coding

Chapter 3: Operators in Python

Lecture 1: Arithmetic Operations With Python

Lecture 2: Comparison and Logical Operators

Lecture 3: Conditional Statements

Chapter 4: Arrays With NumPy

Lecture 1: Arrays With NumPy Part-01

Lecture 2: Arrays With NumPy Part-02

Lecture 3: Arrays With NumPy Part-03

Chapter 5: Matplotlib For Data Visualization

Lecture 1: Plotting and Visualization Part-01

Lecture 2: Plotting and Visualization Part-02

Lecture 3: Plotting and Visualization Part-03

Lecture 4: Plotting and Visualization Part-04

Chapter 6: List in Python

Lecture 1: Working With Lists in Python

Chapter 7: Loops in Python

Lecture 1: for loops Part-01

Lecture 2: for loops Part-02

Lecture 3: while loop

Chapter 8: Strings in Python

Lecture 1: Strings in Python

Lecture 2: Print formatting with strings

Chapter 9: Working With Dictionaries in Python

Lecture 1: Dictionaries Part-01

Lecture 2: Dictionaries- Part02

Chapter 10: Seaborn

Lecture 1: Seaborn Part-01

Lecture 2: Seaborn Part-02

Lecture 3: Seaborn Part-03

Chapter 11: Pandas

Lecture 1: Pandas Part-01

Lecture 2: Pandas Part-02

Lecture 3: Pandas Part-03

Lecture 4: Pandas Part-04

Chapter 12: Functions in Python

Lecture 1: Creating Function in Python Part-01

Lecture 2: Creating Function in Python Part-02

Chapter 13: Creating Classes in Python

Lecture 1: Creating Classes in Python

Chapter 14: Tuples

Lecture 1: Tuples in Python

Chapter 15: The lambda( ) function

Lecture 1: lambda( ) function in python

Chapter 16: map( ), reduce( ) and filter( ) in Python

Lecture 1: map( ) function

Lecture 2: reduce( ) function

Lecture 3: filter( ) function

Chapter 17: zip( ) and join( ) in Python

Lecture 1: zip( ) function

Lecture 2: join( ) function

Instructors

  • Zeeshan Ahmad
    Zeeshan Ahmad
    Machine Learning and Statistical Signal Processing

Rating Distribution

  • 1 stars: 0 votes
  • 2 stars: 0 votes
  • 3 stars: 0 votes
  • 4 stars: 0 votes
  • 5 stars: 1 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

You may also like

Best Ethical AI Courses to Learn in March 2025

Best Software Testing Courses to Learn in March 2025

Best Quantum Computing Courses to Learn in March 2025