Python For Absolute Beginners : Learn Python From Scratch

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.

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

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 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.

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.

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 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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