Python for Everybody: The Ultimate Python 3 Bootcamp

This is fancy talk for "math". Python 3 has a very simple way of performing simple math equations. Don't worry, this isn't calculus.

Variables let you store "answers" in shortcuts with names. That's basically the entire lesson in one sentence. ¯\_(ツ)_/¯

Python code does not look like your standard programming code (called syntax). Python uses indentation and prefers to not use curly brackets for everything. Let's take a closer look at this.

An introduction to Python data types. This is vital to know. In this lesson I'll briefly go over the most common data types you'll use every day before we dive into individual data types in their own videos.

In Python some data types can be changed. Others are set forever until you either delete the variable or give it a new value. There's one data type in particular that's not what you think!

One. Ah ah ah. Two. Ah ah ah. Three. Ah ah ah. Numbers have been part of our lives since we were kids. Numbers are actually very important in programming (and in Python) these days.

Let's learn about a "sequence". The first one is a string. Not like a knitting string.. but more like a sentence. Confused? This lesson will clarify everything.

Lists are another form of "sequence". We can loop through them and take an action based on every item in a list. Just like shopping for groceries... It's exactly like shopping for groceries, actually!

Strings, lists and other versions of sequences have this thing called an "index". It's a number that represents the position of a letter in a word, or the position of an item in a list.

Strings are part of this thing called an "object". Objects have special features and pieces of data that come with them. This lesson will show you how to access that data and the special features.

Accepting user input is part of every good program. This lesson will show you how to ask a user for input and how to use that input afterwards.

Being able to add variables to strings and print it out is very important in Python and Python debugging. This lesson will show you the old Python 3.5 way, and the newer Python 3.6+ way to format your sentences.

Lists let you store multiple items and preserve the order. Like a grocery list.. if you were trying to get in and out of the store as fast as possible.

Dictionaries allow you store data inside of a variable, but you can use an "internal name" to reference it. Now you can group similar variables together into one larger variable. Hurray, cleaner code!

Tuples are almost identical to lists. Except you can't edit them. They are immutable lists.

A set is a unique Python data type that only allows you to store unique items, no duplicates allowed! But there's a catch... *cue scary music*

Booleans are true or false. It's like 1 or 0. On or off. Yes or no. Actually you don't even need to watch this video, this description summed it up. ;)

A Python variable walks into a bar and asks a stranger "How's it going today?". The stranger turns to the variable and says, "None ya business!". Humour helps make learning more fun!

Files are incredibly important in programming languages. Python is no exception here. Learn how to work with files in this lesson.

What's a programming course if you don't make a program right away? In this lesson you'll create a simple, but functional, Python program.

Comparison operators tell your program what to do based on certain conditions. For example: if you are hungry, eat food. Programs and Python work the exact same way.

Python gives us lots of nice shortcuts so we don't need to damage our hands typing the same thing over and over again. Let's look at shortcut comparison operators.

It's possible in Python to use multiple comparison operators at the same time.

Sometimes you need to check if something is a match against multiple answers. Chaining comparison operators in Python let's you check against multiple answers.

Loops let you perform an action over and over again. If you had a sandwich you wouldn't say "bite chew swallow, bite chew swallow, bite chew swallow". You'd say "bite chew swallow until you are done eating." Loops!

This is a special type of loop that will cycle over all your items in an iterable (like a list or tuple!)

Dictionaries aren't like lists or tuples, they can't be looped through as easily. But in Python it's not hard at all! Let's learn how to loop through key/value pairs.

A while loop is a loop that will do a thing while a condition is true. This is true in most languages, including Python 3. but be careful, they have a dark side!

Sometimes you want to loop over a list of items, perform some logic and if you found the answer you're looking for you want to end the loop, or skip to the next iteration.

All user input comes in as a string. But you can't compare apples to oranges, even if they're the same shape. Type casting lets us convert apples into oranges so we can make an accurate comparison.

A bunch of misc. Python functions that will help you in your day-to-day coding.

I bet you never wanted to write a for loop in a single line of code? But once you learn how to do this, you'll never want to go back. List comprehensions are an AMAZING feature in Python.

If you ever need to create a dictionary out of 2 lists (happens more than you'd think!) you might want to use a dictionary comprehension instead of writing all your dictionary key: value pairs manually.

Functions are essential in every programming language, including Python. They seem hard at first, but they are a lot easier than most people think.

Args and Kwargs.. you'll hear this a lot in Python. Learn what they are and how they work!

Make notes in your code with "comments". It's good for future-you, and your co-workers. Comments you sane in large programs.

Ever need to apply a function to every item in a list? If so.. the Python map function is your friend.

Ever need to filter through items in a list? The filter function lets you filter data very easily. A good example is skipping through the Uber Eats menu and going straight to McDonalds. You filtered everything else out.

Functions in a single line of code! (Seriously, it's really cool!)

Sometimes your variables work in a function, sometimes they don't. What's up with that? This is a feature called scope in Python, and it's essential to know how it works.

Object Oriented Programming. It's basically just grouping variables and functions together. Actually that's exactly what it is. No need to watch this video anymore ¯\_(ツ)_/¯

Create your first Python class. We'll start small and work our way up to more advanced classes later.

Classes have attributes. Not sure what a Python class attribute is? That means this lesson is for you.

Class methods let you perform some kind super advanced crazy type of logic in a class. Actually I lied. A method in Python is basically just a function inside of a class. But it always takes at least one argument.

Let's take a look at a more realistic OOP example.

It's not like nesting functions. It's more like layering functions. Only in this case, we're layering classes on top of each other.

In advanced code that should be re-used you'll end up creating a blueprint for other classes to use. That's a class interface. Watch this lesson to learn how they work.

When you've inherited a class you can still access the original classes methods and execute them. Learn how in this lesson.

Double underscore methods, or "magic" methods, are special methods built into Python. We can work with these and overwrite the default data, too.

"Just download the package" said the other developer at your future Python job. But what is a package? Let's learn about them now.

Python has one of the largest 3rd party ecosystems in the world. If you need something special, chances are someone has made an open source package already. Might as well use their code!

Learn how to find 3rd party packages in Python.

How to check if you have a package installed already.

Modules. Files. Modules. Files. Modules... you get the point. A module is basically just a Python file you can use from another Python file.

Learn how to create your own local package for your Python programs!

Why does "Name and Main" sound like a steakhouse? It has nothing to do with steak. But it does have every thing to do with imports and executing file data.

Errors happen. You can NOT avoid them. It's a fact of life, your programs will have errors somewhere. But that doesn't mean your code should crash your program. Learn how to handle errors gracefully.

When you get an error, you need to "handle" it so your code doesn't crash.

Unit tests let you test your code. You should actually try to break your own code! Unit tests ensure your code consistently produces expected answers.

In Python we can nest functions inside of functions.

Python has this cool feature that lets you add extra functionality to an existing function. It's like a toggle for function features!

Generators. Like loops, but not quite. Learn what they are and how to create one!

The Python community is picky about good looking code. In this lesson I'll show you 3 common ways to keep your code clean and unpolluted.

Virtual environments keep your project code separated from other projects. This means you can install two versions of the same package and have no more worries about code conflicts!

Requirement files or common in Python. It's a list of all your packages that your 3rd party project needs to operate.

A better way to write Python in your shell.

Some people need to support multiple Python versions. This lesson will show you how you can do that.

Did you know you can run a local server to show your static files (HTML, CSS and JavaScript files)? Yep, it's built right into Python!

Let's take a look a the final projects when it's done.

It's a new Python project. It gets a new Python virtual environment.

New project. New requirements. Here's what we need to get up and running.

Machine learning "models" are a bunch of crazy math files with "stored knowledge". We can swap them out to get better results. But first, let's install our main model.

It's 20 lines of codes. Seriously, that's it! 20 lines of Python can leverage machine learning and detect objects (and people) inside of images! We wrote longer classes in this course than that..

Detect objects in images! This is our first set of results.

Detect more objects in images! This is our second set of results.

Confidence in life is important for making decisions. Machine learning is the same. If someone said "I'm 17% certain you're working on a computer" you'd give that a second thought, no? Computers! 

Was this project super interesting to you? Here's how you can continue learning more. You can even add object detection to a video! (That's like some NSA stuff..)

??? You're done ??? Here's where to go next.