Python For Absolute Beginners : Learn Python From Scratch

Choose Anaconda, a Python-focused distribution that includes libraries and packages, and download the correct 32- or 64-bit version for Windows, Mac, or Linux with Python 3.7 or 2.7.

Explore Jupyter notebooks, an interactive environment for writing and running Python code and visualizing data. Learn to create new notebooks, use cells, and export notebooks as ipynb.

Discover how Python is an interpreter-based, high-level, general-purpose language with a large standard library, dynamic typing, open source, and wide usage, currently at version 3.9.

Explore the four programming paradigms (imperative, functional, procedural, and object-oriented) and see how languages use statements, functions, procedures, and classes to model real-world tasks.

Explore open source concepts by downloading, using, customizing, and contributing to free code. Learn how Python libraries and frameworks are built by a community and how developers can contribute.

Python is a diversified programming language used across data analysis, machine learning, big data, Android development, and web scraping through libraries and frameworks.

Explain the difference between compilation and interpretation, highlighting how interpreter-based languages offer line-by-line execution, immediate error feedback, and faster code testing without full compilation.

Discover how Python keeps coding easy and simple by reducing lines of code; unlike C or Java, you can write a single statement, as shown in the example.

Compare static and dynamic typing, noting static requires declaring a variable's type (as in C or Java), while dynamic typing auto allocates memory and allows multiple values per variable.

Explore how Python's large standard library provides built-in libraries that offer ready-made functionality, and how external libraries extend capabilities, including machine learning tasks that would be hard from scratch.

Explore integers and floating point numbers in a Jupiter notebook, and learn arithmetic: addition, subtraction, multiplication, division, including results with decimals and remainders.

Learn how to perform arithmetic in Python using ** for powers, 0.5 for roots, and apply operator precedence with parentheses to control multiplication before addition and subtraction.

Explore Python variables: assign values, perform arithmetic, print results, and follow naming rules—no starting numbers, no spaces, underscores allowed, lowercase preferred, and avoiding keywords.

Explore dynamic typing in Python, where variables do not require prior declaration and values are automatically assigned to appropriate types. Observe integers and strings being inferred as you assign them.

Explore Python strings, declaring with single or double quotes, escaping quotes, and treating strings as character sequences. Learn printing and basic quoting techniques to avoid errors.

Learn how to work with Python strings by measuring length, indexing from zero, using negative indices, and slicing to extract portions with optional steps.

Learn Python string methods for splitting text by spaces or custom breaking points, and understand how endpoints determine word boundaries and how these operations behave on strings.

Explore how strings in Python are immutable, meaning their characters cannot be changed in place. See how concatenation and multiplication create new strings instead of altering the original.

Learn three string formatting methods in Python, including dynamic insertion with variables, the format method, and percent-style formatting, through practical examples and explanations.

Discover Python lists as mutable sequences defined with square brackets, capable of holding heterogeneous elements, with zero-based indexing, slicing, length via len, and concatenation to add elements.

Explore Python list methods and properties, including doubling a list, removing elements, retrieving the second item, and sorting in ascending order, as well as handling nested lists and matrices.

Explore Python tuples: immutable, ordered containers that hold heterogeneous data. Learn common operations: indexing, slicing, and methods like index and count to locate and count elements.

Discover how dictionaries in Python function as key-value stores, analogous to hash tables, allowing key-based indexing, creation with lists as values, and dictionary operations.

Explore dictionary methods in Python, including arithmetic operations on values and reading keys and values. Create and nest dictionaries through assignment and access elements with keys and values.

Explore sets as a collection of unique elements and how to add items while preventing duplicates. Learn about booleans and the none value as representations of true, false, and nothing.

Master Python conditional logic by using if statements, else and or combinations, and manage blocks with indentation to control flow.

Learn how to use a for loop to iterate over a list of elements and values from one to ten, print each value, and filter even numbers with a conditional.

Explore how a while loop repeats a single statement as long as a condition is true, starting with x = 0 and incrementing until x reaches five.

Define and call functions in Python using def, pass parameters to customize output, and reuse code by calling a function like say hello; include statements, conditions, and loops inside.

Explore decorators in Python for absolute beginners, learning how a decorator modifies an existing function's behavior to extend functionality with practical examples.

Explore how a generator, a kind of function that can send back values and resume, enables iterating over ranges or large data without storing all values in memory.

Learn how Python implements object oriented programming by treating every item as an object and using classes as blueprints to create and store objects, from dictionaries to custom classes.

Explore Python attributes and how they define class properties and object behavior, including init methods, defining classes, and accessing attributes through objects.

Explore how Python class methods operate, using self and the init method to set radius and compute area and circumference, while distinguishing global variables from instance attributes.

Explore how inheritance forms new classes from existing ones, letting a dog inherit the properties and methods of an animal and show how inheritance works.

Explore polymorphism in Python, where different classes implement the same method, enabling the same method name to operate on diverse objects without inheritance.

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