Python Fundamentals for Beginners: Learn with Google Colab

Python Fundamentals For Absolute Beginners Using Google Colab

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

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Last Updated: 2024-11-27 04:11:22 English Course Type: Self Learning

Google Colab for Python Programming
Operators used in Python.
How to create and use arrays in Python using NumPy
Built-in function 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

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

Only gmail account for using Google colab

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.

Section 1 : Introduction 2 Lectures 00:00:00
Lecture 1 :
Introduction of the Course Preview
Lecture 2 :
Course Material
Dwonload all the course material and then upload them to your google drive. I f you don't know how to upload to google drive then don't worry, it is explained in detailed in the next section " Introduction to Google Colab"
Section 2 : Introduction to Google Colab 2 Lectures 00:00:00
Lecture 1 :
Introduction of the Section
Lecture 2 :
Using Google Colab
Section 3 : Operators in Python 3 Lectures 00:00:00
Lecture 1 :
Arithmetic With Python
Lecture 2 :
Comparison and Logical Operations
Lecture 3 :
Conditional Statements
Section 4 : Arrays With NumPy 3 Lectures 00:00:00
Lecture 1 :
NumPy Arrays-Part01
Lecture 2 :
NumPy Arrays-Part02
Lecture 3 :
NumPy Arrays-Part03
Section 5 : Matplotlib for Data Visualization 4 Lectures 00:00:00
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
Section 6 : Lists In Python 1 Lectures 00:00:00
Lecture 1 :
Lists In Python
Section 7 : Loops in Python 3 Lectures 00:00:00
Lecture 1 :
For Loops Part-01
Lecture 2 :
For Loops Part-02
Lecture 3 :
while loop
Section 8 : Strings in Python 2 Lectures 00:00:00
Lecture 1 :
Strings in Python
Lecture 2 :
Print formatting With Strings
Section 9 : Dictionaries In Python 2 Lectures 00:00:00
Lecture 1 :
Dictionaries Part-01
Lecture 2 :
Dictionaries Part-02
Section 10 : Seaborn 3 Lectures 00:00:00
Lecture 1 :
Seaborn Part-01
Lecture 2 :
Seaborn Part-02
Lecture 3 :
Seaborn Part-03
Section 11 : Pandas 4 Lectures 00:00:00
Lecture 1 :
Pandas Part-01
Lecture 2 :
Pandas Part-02
Lecture 3 :
Pandas Part-03
Lecture 4 :
Pandas Part-04
Section 12 : Functions in Python 2 Lectures 00:00:00
Lecture 1 :
Functions in Python Part-01
Lecture 2 :
Functions in Python Part-02
Section 13 : Creating Classes in Python 1 Lectures 00:00:00
Lecture 1 :
Classes in Python
Section 14 : Tuples 1 Lectures 00:00:00
Lecture 1 :
Tuples
Section 15 : The lambda( ) function 1 Lectures 00:00:00
Lecture 1 :
lambda( ) functions
Section 16 : map( ), reduce( ) and filter( ) in Python 3 Lectures 00:00:00
Lecture 1 :
map( ) function
Lecture 2 :
reduce( ) function
Lecture 3 :
filter( ) functions
Section 17 : zip() and join() in Python 2 Lectures 00:00:00
Lecture 1 :
zip( ) function
Lecture 2 :
join( ) functions

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Zeeshan Ahmad,

3784 Course Views

4 Courses

Dr. Zeeshan is PhD in Electrical and Computer Engineering from Toronto Metropolitan University. He has more than 18 years of teaching and research experience. He has taught many courses related to Computer Science and Computer Engineering. such as Machine Learning, Deep Learning, Image Processing, Computer Vision, Signal Processing and Python Programming. He has publications in reputed journals and conferences.