Python Tutorial for Beginners [Full Course]

Explanation of virtual environments and how to create and manage them, especially in situations where multiple projects rely on different versions of dependencies.

The video introduces Python as a versatile language suitable for beginners. It highlights Python's ease of use, straightforward syntax, and wide range of applications, including web development, data analysis, and scientific computing. The tutorial guides viewers on downloading and installing Python from python.org and also recommends Visual Studio Code as a code editor, along with the Python extension for VS Code. It explains how to select the interpreter and verify the Python installation using the terminal.

This part covers Python basics, including variable naming conventions, expressions, and statements. It explains which characters are valid in variable names, reserved keywords, and the difference between expressions and statements. It guides the user on creating a Python file with print statements and also covers comments.

The lesson defines Python operators as symbols used to perform operations on values and variables. It reviews assignment, arithmetic, comparison, and boolean operators. The content also introduces the creation of if/else statements to execute code based on boolean conditions.

The tutorial discusses string and numeric data types in Python, focusing on literal assignments and constructor functions to declare different types. It also explains string concatenation, casting a number to a string, working with multiline strings, escaping special characters in strings, and using various string mehtods with coding examples in VS Code.

This section focuses on accepting user input in Python and using control flow to make decisions. It guides the user to create a rock paper scissors game where number inputs determine player choice. It adds to how to end a program properly and imports the sys module.

This section introduces lists as a way to work with a collection of data rather than individual elements. Variables can have multiple values using lists, different datatypes can coexist in the same list, and they can even be combined. Demonstrates working with a list: indexes, checking values, what different methods will do with a list, and how to copy a list.

This section introduces tuples in python as another type of complex data type, as well as a deep discussion on escaping characters within a string and how to handle indentations which are critical in python program structure.

This section introduces Dictionaries as a type of data structure in Python and explains how to add attributes, delete attributes, use the right syntax when assigning key/value pairs.

Explanation of for loops and while loops including using the range function, how to implement for loops to run through lists and other complex data types and collections.

Explanation of how to use imported namespaces with Enums to access prebuilt datatypes and constants.

Discussion of global and local scope, as well as the non-local keyword.

Explanation of string formatting covering multiple approaches, with F-Strings being the recommended practice, to generate strings using parameters and formatting parameters.

Explanation of some Python data types and coding practices, like using the Str method in Python to explicitly declare datatypes.

Explanation of Lambda functions and how they're assigned, and how they can be used to build other functions.

Explains how to work with files, covering reading, appending, writing and creating files, as well as exception handling when they do/do not exist.

An introduction to Exception handling in Python using try block, catch block in order to handle Name Errors, Zero Division Errors, Type Errors, and creation of custom Exceptions to maintain code clarity and robustness.

The video covers object-oriented programming (OOP) concepts in Python, including classes, objects, inheritance, and polymorphism. It demonstrates how to define classes with properties (attributes) and methods (functions), create objects from those classes, inherit properties and methods from parent classes and override inherited methods.

Explanation of how to declare the from... import syntax for importing modules, or use the typical import * to expose every tool or library provided in a separate module.

Overview of how to use pip and version management to install and uninstall resources for a Python project.

Code examples, walking through, creating and linking your code to 3rd-party API (in this case ONeWeatherMap), as well as safely protecting account credentials by leveraging environmental variables.

Walking through generating HTTP returns and data with F-strings. Shows how to refactor rock paper scissors with external dependencies such as Jinja.

Refactor rock paper scissors into a OOP design pattern that could be used for other applications.

The tutorial concludes by demonstrating how to deploy the Python web app to render.com, from GitHub. This includes setting up a web service, build commands, start commands, and environment variables.