
Explore Python fundamentals from arithmetic and logic to lists, dictionaries, and data structures, learn numpy, pandas, seaborn, and plotting with matplotlib, guided by Google Colab.
Learn to create 1d and 2d numpy arrays, inspect their shape, size, and data type, and find max, min, and their indices with argmax and argmin.
Explore dictionaries in Python fundamentals: use keys to index values and create key value pairs with curly brackets. Access items via d2.items, keys, and values, unlike numpy arrays.
Explore dictionaries in Python by creating key-value pairs, retrieving values through indexing, and handling nested dictionaries, including empty dictionaries and data types like lists and strings.
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