Hands-On Python 3 for Programmers with Timelines in Mind

Learn how to check Python installation and version, invoke the Python interpreter in VS Code or a terminal, and perform simple calculations using Python commands.

Execute a Python script or code file, create a hello world.py file, use the print function, run Python with a file name versus interactive mode, and list files with ls.

Learn how to use pip, check its version, and access Python's ecosystem of third-party packages on pypi.org, installing packages such as Jupyter Lab with pip install.

Master git's version control by tracking changes with commits. Explore how GitHub provides cloud and remote repositories, collaboration, and access control for teams.

Explore variables and variable assignment in Python, including dynamic typing, multiple assignment, and naming rules with descriptive names and underscores.

Explore simple datatypes in Python—integers, floats, strings, complex numbers, booleans, and none—alongside dynamic typing, and learn statements, identifiers, operators, literals, keywords, and delimiters with examples.

Learn how typecasting in Python converts data types using built-in functions like int, float, str, and bool, with practical examples from user input to display formatting.

read user input in python by obtaining the radius, casting to float, and computing the sphere's surface area and volume using formatted strings to print results.

Explore essential string operations in Python, including immutability, indexing, slicing, concatenation, length, membership tests, and replication, illustrated with a flight manifest example.

Discover how line joining in Python lets you split long lines for readability, using implicit and explicit techniques with a backslash, sequences, tuples, and lists.

Learn how to use comments and docstrings in python to improve code readability, including single-line and multi-line styles, keyboard shortcuts to comment and uncomment, and how automated documentation uses docstrings.

Discover how Python reserves keywords and why you cannot use them as variable names, and list them with import keyword and keyword.kwlist, for example yield and while.

Learn how Python uses indentation to define blocks of code, using four spaces. See how control structures like if, else, and loops rely on this indentation for flow.

Explore the simplest decision making in Python with the simple if structure, evaluating boolean conditions to classify input as even or odd through a hands-on code example.

Master the Python if-else structure by writing if and else blocks with proper indentation, and apply it to a number input that prints positive or negative, including zero.

Expand on the prior if-else by introducing elif to classify inputs into positive, zero, or negative, and implement this three-way condition in a Python script.

explain how to implement multiple elif conditions to assign grades from student marks, using input and type casting, and printing the final grade.

Master nested if-else conditions in Python using an e-commerce discount example: electronics and clothing discounts vary by location (India or USA) with values like 20, 10, 5, or 2.

Explore how Python logical operators and, or, and not combine boolean conditions in if-else statements, with real-world examples like a weekend picnic and pasta dinner.

Explore while loops in python by learning syntax, conditions, and repeating a code block, using examples that print numbers and multiples to reinforce looping concepts.

Explore break and continue statements in Python and see how they control loop flow within a while loop, illustrated by a practical ATM example.

Explore how the Python while loop works with an else clause, showing that else runs only when the condition becomes false and no breaks occur, illustrated by a counter example.

Build a Python number guessing game that uses the random module to pick a number from 1 to 25 and offers three attempts, reporting win or exhaustion.

Explore for loops in Python using range to create iterables and print matrix elements. Understand break, continue, and reverse iteration with range steps.

Explore the Python for-else structure, learning how the else block runs only after a for loop completes without a break, with a practical fruits guava search example.

Explore the syntax of Python functions, covering def, parameters, docstrings, and return values, with examples like greet and greet_user to illustrate reusable, readable code.

Explore python functions by defining rect area and perimeter, using parameters and docstrings, and returning multiple values, with examples of calling and using built-in functions.

Learn how to use the pass keyword to create valid, empty functions in Python, preventing indentation errors while you flesh out definitions.

Master commonly used built-in Python functions, such as print, len, type, int, float, ord, chr, min, and max, and learn to discover more with dir(builtins).

learn how functions in Python are first class citizens, treated as objects you can assign to variables, pass as arguments, and return from other functions.

Explore how Python lists serve as mutable data containers, built with square brackets, storing heterogeneous data, and enabling indexing, slicing, and converting ranges and strings via the list function.

Master list comprehensions in Python by using expression for item in iterable if condition, and build lists like numbers, squares, and multiples.

Explore practical Python list operations, including traversing, indexing, and deleting, while distinguishing functions from methods. Learn via hands-on examples and negative indexing techniques.

Explore essential list methods in Python, including append, clear, copy, count, extend, insert, pop, remove, reverse, and sort, with practical demos in a Jupyter Lab notebook.

Explore dictionaries as key-value containers, access values by key or with get, and initialize with curly braces or the dict() constructor. See immutable keys and examples like a phone book.

Explore dictionary comprehensions in Python by building dicts from iterables, applying conditions, and generating examples like number squares and even squares to write readable, pythonic code.

Master dictionary operations in Python by checking if keys exist with the in operator, deleting key-value pairs with del, and accessing elements via square brackets or the get method.

Explore Python dictionary methods in hands-on examples, including items, clear, copy, from keys, keys and values, pop, pop item, and update, with practical demonstrations in Jupyter Lab.