
Learn Python from scratch with installation and basic syntax, plus essential concepts like comments and functions. Join the questions-and-answers sessions and enjoy a money-back guarantee if you're not satisfied.
Set up Google Colab, create a new notebook, and sign in to run your first hello world program.
Learn to access local files in Google Colab by using the open file option and uploading files, with a reminder that uploaded files are deleted when the runtime ends.
Learn how to use comments in Python, including single-line comments starting with a hashtag and multiline blocks, to explain code, prevent execution during testing, and annotate notebooks.
Explore variables in Python: they are containers for data, created when you assign values, with dynamic typing and no explicit declaration; also cover string concatenation and global and local variables.
Explore Python operators, including arithmetic, assignment, comparison, logical, identity, membership, and bitwise, with practical examples using x and y to reinforce usage.
Explore Python datatypes across seven categories, including strings, numeric types, sequence types such as list, mappings, booleans, and bytes with memory considerations.
Explore numbers in Python by examining the three numeric types—integers, floats (including scientific notation), and complex numbers. Practice converting between int, float, and complex and printing their types with examples.
Learn the basics of Python lists, including creating lists, zero-based and negative indexing, slicing with ranges, and key operations such as append, insert, remove, extend, reverse, and sort.
Discover how dictionaries in Python are an order changeable, indexed collection of key-value pairs, enabling creation, access by key, and value updates, with methods to view, add, and remove items.
Learn how sets in Python are unordered collections with no duplicates, how to create, add, update, remove, and clear elements, and perform operations like union, intersection, difference, and membership checks.
Explore Python tuples, an ordered, immutable collection created with parentheses, featuring zero-based indexing, negative indexing, slicing, membership testing with in, and conversion to list for modifications.
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