Learn Python with Google Colab - A Step to Machine Learning

Learn how to create and assign variables in Python using Google Colab, inspect datatypes, and print values to see strings and numbers.

Learn basic Python commands in Google Colab, including listing the current directory, viewing folder contents, checking disk space, and organizing code into sections with data sets for machine learning.

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 if-else conditions and looping in Python on Google Colab, reinforcing variables, arithmetic, and print statements through practical examples.

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 ++.

Learn to define and call Python methods using def, return values, and variable assignment, and see how to integrate simple functions into your programs in Google Colab.

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 modify items in a Python list using Google Colab by updating existing entries, replacing values such as names and phone numbers, and copying lists.

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.

Learn how to import packages in Python using import and from statements, explore the math package for factorial, and perform simple calculations.

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.

Review core Python foundations from Google Colab and Google Cloud, including variables, conditions, lists, dictionaries, sets, imports, and object-oriented basics like classes and methods.

Download a practice notebook to apply Python coding in Google Colab, accelerating your journey into machine learning.