Python Fundamentals For Absolute Beginner Using Google Colab
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
Machine Learning and Statistical Signal Processing
Rating Distribution
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- 2 stars: 0 votes
- 3 stars: 0 votes
- 4 stars: 0 votes
- 5 stars: 1 votes
Frequently Asked Questions
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