Tech & IT
Business
Coding & Developer
Finance & Accounting
Academics
Office Applications
Art & Design
Marketing
Health & Wellness
Sounds & Music
Lifestyle
Photography
Get Unlimited Learning Access
$29
3 days left at this price!
30-Day Money-Back Guarantee
This plan includes
- Instant access to 11,000+ online courses
- Play & Pause Course Videos
HD Video Recorded Lectures- Learn on Mobile/PC/Tablet
- Quizzes and Real Projects
- Lifetime Course Certificate
- Instructor Chat Support
- Cancel Plan Anytime
Subscribe to Learnfly’s top courses
Get this course, plus 11,000+ of our top-rated courses for one year with Go Annually Plan.
3 days left at this price!
30-Day Money-Back Guarantee
This plan includes
- Instant access to 11,000+ online courses
- Play & Pause Course Videos
- HD Video Recorded Lectures
- Learn on Mobile/PC/Tablet
- Quizzes and Real Projects
- Lifetime Course Certificate
- Instructor Chat Support
- Cancel Plan Anytime
$29
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 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
Course Overview
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
Pre-requisites
- Only gmail account for using Google colab
Target Audience
- 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.
Curriculum 39 Lectures
-
Section 1 : Introduction
- Lecture 2 :
- Course Material
-
Section 2 : Introduction to Google Colab
- Lecture 1 :
- Introduction of the Section
- Lecture 2 :
- Using Google Colab
-
Section 3 : Operators in Python
- Lecture 1 :
- Arithmetic With Python
- Lecture 2 :
- Comparison and Logical Operations
- Lecture 3 :
- Conditional Statements
-
Section 4 : Arrays With NumPy
- Lecture 1 :
- NumPy Arrays-Part01
- Lecture 2 :
- NumPy Arrays-Part02
- Lecture 3 :
- NumPy Arrays-Part03
-
Section 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
-
Section 6 : Lists In Python
- Lecture 1 :
- Lists In Python
-
Section 7 : Loops in Python
- Lecture 1 :
- For Loops Part-01
- Lecture 2 :
- For Loops Part-02
- Lecture 3 :
- while loop
-
Section 8 : Strings in Python
- Lecture 1 :
- Strings in Python
- Lecture 2 :
- Print formatting With Strings
-
Section 9 : Dictionaries In Python
- Lecture 1 :
- Dictionaries Part-01
- Lecture 2 :
- Dictionaries Part-02
-
Section 10 : Seaborn
- Lecture 1 :
- Seaborn Part-01
- Lecture 2 :
- Seaborn Part-02
- Lecture 3 :
- Seaborn Part-03
-
Section 11 : Pandas
- 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
- Lecture 1 :
- Functions in Python Part-01
- Lecture 2 :
- Functions in Python Part-02
-
Section 13 : Creating Classes in Python
- Lecture 1 :
- Classes in Python
-
Section 14 : Tuples
- Lecture 1 :
- Tuples
-
Section 15 : The lambda( ) function
- Lecture 1 :
- lambda( ) functions
-
Section 16 : map( ), reduce( ) and filter( ) in Python
- Lecture 1 :
- map( ) function
- Lecture 2 :
- reduce( ) function
- Lecture 3 :
- filter( ) functions
-
Section 17 : zip() and join() in Python
- Lecture 1 :
- zip( ) function
- Lecture 2 :
- join( ) functions
Our learners work at
Frequently Asked Questions
-
How do i access the course after purchase?
It's simple. When you sign up, you'll immediately have unlimited viewing of thousands of expert courses, paths to guide your learning, tools to measure your skills and hands-on resources like exercise files. There’s no limit on what you can learn and you can cancel at any time. -
Are these video based online self-learning courses?
Yes. All of the courses comes with online video based lectures created by certified instructors. Instructors have crafted these courses with a blend of high quality interactive videos, lectures, quizzes & real world projects to give you an indepth knowledge about the topic. -
Can i play & pause the course as per my convenience?
Yes absolutely & thats one of the advantage of self-paced courses. You can anytime pause or resume the course & come back & forth from one lecture to another lecture, play the videos mulitple times & so on. -
How do i contact the instructor for any doubts or questions?
Most of these courses have general questions & answers already covered within the course lectures. However, if you need any further help from the instructor, you can use the inbuilt Chat with Instructor option to send a message to an instructor & they will reply you within 24 hours. You can ask as many questions as you want. -
Do i need a pc to access the course or can i do it on mobile & tablet as well?
Brilliant question? Isn't it? You can access the courses on any device like PC, Mobile, Tablet & even on a smart tv. For mobile & a tablet you can download the Learnfly android or an iOS app. If mobile app is not available in your country, you can access the course directly by visting our website, its fully mobile friendly. -
Do i get any certificate for the courses?
Yes. Once you complete any course on our platform along with provided assessments by the instructor, you will be eligble to get certificate of course completion.
-
For how long can i access my course on the platform?
You require an active subscription to access courses on our platform. If your subscription is active, you can access any course on our platform with no restrictions. -
Is there any free trial?
Currently, we do not offer any free trial. -
Can i cancel anytime?
Yes, you can cancel your subscription at any time. Your subscription will auto-renew until you cancel, but why would you want to?
Instructor
1254 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.
View More...
