Python | Python Fundamentals | Python for Beginners

Explore Python lists as a versatile data structure that holds mixed items and supports zero-based indexing, slicing, and methods like append, extend, insert, remove, pop, and index.

Discover Python tuples as immutable, ordered collections with indexing, length, count, and index operations. Use plus for concatenation and star for repetition, producing new tuples, unlike lists.

Explore Python sets and set operations, including add, remove, discard, clear, union, intersection, and difference, with emphasis on unordered, unique elements and converting between sets and lists.

Test your understanding of Python concepts with a module 2 quiz. It revisits creating empty lists, appending elements, list vs tuple mutability, tuple indexing, set unions, and missing dictionary keys.

Master Python control flow with conditional statements using if, elif, and else. Learn how indentation and logical operators (and, or, not) determine which code blocks execute.

Learn nesting in Python with nested loops and nested if statements, exploring outer and inner loops, lists of lists, and squaring evens and cubing odds, including zero.

Engage in a Python fundamentals quiz covering if-else logic, logical operators, and break and continue behavior, plus while and for loops, list iteration, and string concatenation.

Learn how to define and call Python functions using def, understand parameters and arguments, scope, and lambda basics, and see how functions enable reusable, organized code.

Master Python function arguments, including positional and keyword variants with default values, understand parameters versus arguments, and learn how return values drive function outputs.

Learn Python variable scope and lifetime, distinguishing global and local scopes. Use the global keyword to access or modify globals, while avoiding globals keeps functions modular.

Explore nested data structures in Python by combining lists, dictionaries, and tuples; learn to access nested elements and apply break and continue for loop control while calculating averages.

Demonstrate list comprehensions and nested list comprehensions in Python, using the expression for item in iterable if condition syntax to create and filter lists, including a 3 by 3 matrix.

Explore tuple unpacking to assign tuple elements to multiple variables in one line, including nested tuples and ignoring elements, and learn set comprehensions to create sets with conditions in Python.

Master Python file handling by opening, reading, writing, and appending files, using different modes, working with csv files, and applying with statements for automatic closing.

Learn how to write data to files in Python, using read, write, and append modes with the with statement; manage file creation, truncation, appending, and line breaks with backslash n.

Extend the student data structure with math, history, and programming scores, generate per-subject statistics and an overall report in Python, and save results to csv and txt files.

Explore inheritance in Python by extending a general vehicle class into specific cars and bikes, using super constructors, and embracing code reuse across single, multi-level, and hierarchical inheritance.

Explore polymorphism in Python object oriented programming, showing how a single method can have different implementations across classes through overloading and overriding, with shapes and animal sounds as examples.

Practice this seventh module quiz to reinforce Python object-oriented fundamentals, including instance variables, the init method, constructor, encapsulation, inheritance, polymorphism, and method overriding.

Discover how Python packages organize modules, install third-party packages with pip, manage versions, and verify installations using NumPy as an example.

Master how to create your own modules and packages, import them into scripts, and organize code with packages; use virtual environments to isolate dependencies and document these environments for sharing.

Identify available packages, read documentation, install them, and use numpy to create and manipulate arrays for fast numerical operations in Python projects.

Take this Python fundamentals quiz on module imports, file I/O with the OS package, init.py, pip install, and numpy as np.

Learn how to use external APIs with Python's requests library to make HTTP requests, parse JSON data, and handle responses for simple web scraping and mini projects.

Develop a Python weather app that fetches current and forecast data from a weather api using an api key, and saves results to csv file with requests and csv module.

Develop a Python project that uses the GitHub API to fetch popular repositories for a chosen language and save key info to a CSV file.