
Explore Python basics in Google Colab, including data types, printing, if statements, for loops, lists, ranges, dictionaries, sets, and packages, plus creating and calling custom modules.
Explore Google Colab as a cloud-based, no-setup notebook for Python and machine learning, a Google research project that runs code from anywhere.
Learn how to create and assign variables in Python using Google Colab, inspect datatypes, and print values to see strings and numbers.
Learn basic arithmetic operations in Python using Google Colab, working with variables, print statements, and simple operators to compute and display multiple values.
Explore advanced arithmetic operations in python on google colab, including addition, subtraction, multiplication, division, squaring, and calculating quotients and means.
Explore python for loops in google colab, using range to iterate from start to stop with inclusive start and exclusive stop, printing values and understanding zero vs one-based indexing.
Learn to implement a while loop in Python by initializing a variable, setting a condition, and incrementing the counter, with notes on Python syntax versus languages using ++.
Define a method with no return type in Python and contrast it with value-returning methods, using simple logic demonstrations in a Google Colab notebook.
Learn how to create and manipulate lists in Python using Google Colab, including naming lists, adding elements, checking types, and printing list contents.
Learn to create and manipulate lists in Python on Google Colab, print elements, and use slicing to access first to second items by index.
Learn how to copy items from a parent list to a child list, compare shallow and deep copies, and use len to check list length in Python.
Learn how to merge two python lists into a single list by copying and combining items, demonstrated with an employee list and a second list.
Learn about tuples, sets, and dictionaries in Python on Google Colab, contrasting them with lists, highlighting immutability, uniqueness, and key-value pairs.
Create a list, convert it to a tuple, and print both to compare behavior. Observe that tuples are immutable and do not support item assignment.
Learn how to convert a list to a set in Python to remove duplicates, demonstrate set creation with set(), and print the resulting unique values.
Explore dictionaries in Python by creating a dict, adding key-value pairs like name and contact, and printing the dictionary to see its mapping.
Revisit key Python concepts like lists, dictionaries, loops, and conditions, recap operations, and preview importing packages and classes in Python for Google Colab.
Create a class in Python, define a method, instantiate an object, and call the method to perform operations, reinforcing object-oriented basics in Google Colab for machine learning.
This course is completely practical based and is per-requisite for our upcoming Machine Learning course. With around 25 lectures, this course is designed in such a way that you can take spark of Google Colab enabling Jupiter notebook , the best platform to practice Machine Learning and is enriched with all the basic concepts that is required to start with python programming. After completing this course, you should have basic python understanding.