This industry is on fire and your skills are in demand. Your colleagues are changing jobs and doubling, sometimes tripling their paycheck by nailing their interviews and showing ruthless confidence. That paycheck could easily be yours…
We’re just good at searching the web for what we need to know, and that’s OK! Knowing that you don’t know something is a great first step! Programmers that have a desire to learn are the ones who are the most valuable. The trick is to build a foundation so you can learn how to learn.
It’s hard work to learn these skills, but it doesn’t have to be. That’s why I made these videos - so you and I could have some fun and build your foundation.
It’s called Imposter Syndrome and most everyone goes through it at one time or another. If this is you, don’t worry you’re not alone. In fact it’s actually a good thing to feel this way - it means you clearly understand just how much there is to learn.
Some programmers never feel this way and will loudly let everyone know how skilled they are. In fact, this is a known thing called the “Dunning-Kreuger” effect: people who are mediocre at a task believe they’re doing well. People who do well often believe they suck and should be fired.
Which one are you?
Because they're loud and have (misplaced) confidence. How many times have you wondered how your boss or your bosses boss managed to get to where they are when they are so clearly incompetent? Every single workplace has these people no matter what their hiring practice is.
How do they end up there? The simple answer is that their misplaced confidence is convincing. Unfortunately for you, the opposite is also true.
Your lack of confidence is holding you back. I know mine did.
Until I changed all of that over the last 5 years.
I started recording this course in the summer of 2016, just a few years after writing The Imposter's Handbook, adding material as I went, going deeper into subjects than a book could.
After 6 years I compiled over 6 hours of content. This isn’t your typical “hey guys what’s up” YouTube crap either. I pride myself in concise delivery and tight editing.
I write down everything I say, rehearse it, cut it, edit it more, add where I need, rehearse again… and go through this process until I have a polished gem. Each video is this way.
I broke these videos into 72 lessons divided into 10 categories, fast-paced and tightly edited. I hate hate hate boring videos and lecturers that drone on forever - you won't get that here. We're going to have some fun and I will absolutely respect your time.
A difficult subject that you need to understand so that you can have a solid grasp on data security. This means you’re less likely to get fired for overlooking the very basic of data needs.
You'll learn core database theory, including relational modeling and CAP theorem. Understanding these things means you can build a proper database that protects your data, which means your company can make better decisions and make more money... making you a hero.
Understanding the essential bits of encryption and hashing is critical so that you can have a solid grasp on data security, which means you’re less likely to get fired for overlooking the very basic of data needs.
Every programmer should understand how to program their work environment and orchestrate builds properly which means they don't spend hours trying doing the same jobs manually.
I bought your first book in 2016 or 2017. Loved it because of the videos back then. Bought the interview prep videos on your website recently as well. Your books over the years, videos, and a little bit of leetcode... plus my 10 years of experience got me a job at AWS the first time through.
There are 32 videos in all, clocking in at just over 6 hours. There is no filler here, these videos are tightly edited and full of goodness. The perfect compliment to The Imposter's Handbook or just fine as a standalone course.
Let’s jump right in at the only place we can: the very begining, diving into the perfectly obvious and terribly argumentative 'rules of logic'.
You're George Boole, a self-taught mathematician and somewhat of a genius. You want to know what God's thinking so you decide to take Aristotle's ideas of logic and go 'above and beyond' to include mathematical proofs.
This is a famous interview question: 'write a routine that adds two positive integers and do it without using mathematic operators'. Turns out you can do this using binary!
Up until now we've been representing binary values as strings so we could see what's going on. It's time now to change that and get into some real binary operations.
We've covered how to add binary numbers together, but how do you subtract them? For that, you need a system for recognizing a number as negative and a few extra rules. Those rules are one's and two's complement.
Now that we know how to use binary to create switches and digitally represent information we need to ask the obvious question: 'is this worthwhile'? Are we improving things and if so, how much?
Claude Shannon showed us how to change the way we encode things in order to increase efficiency and speed up information trasmission. We see how in this video.
There are *always* errors during the transmission of information, digital or otherwise. Whether it's written (typos, illegible writing), spoken (mumbling, environment noise) or digital (flipped bits), we have to account for and fix these problems.
In the previous video we saw how we could correct errors using parity bits. In this video we'll orchestrate those bits using some math along with a divide and conquer algorithm to correct single-bit errors in transmissions of any size.
In this video we play around with cryptography and learn how to encrypt things in a very simple, basic way. We then ramp up our efforts quickliy, creating our own one-time pad and Diffie-Hellman secure key transmitter.
In this video we dive into hashing algorithms, how they're used and what they're good (and not so good) for. We'll also dig into RSA, one of the most important pieces of software ever created.
Functional programming builds on the concepts developed by Church when he created Lambda Calculus. We'll be using Elixir for this one, which is a wonderful language to use when discovering functional programming for the first time
Before their were computers or programming languages, Alonzo Church came up with a set of rules for working with functions, what he termed lambdas. These rules allow you to compute anything that can be computed.
How does a spreadsheet become a highly-tuned set of tables in a relational system? There are rules for this - the rules of normalization - which is an essential skill for any developer working with data
The building block data structures from which so many others are built. Arrays are incredibly simple - but how much do you know about them? Can you build a linked list from scratch?
You can build all kinds of things using the flexibility of a linked list. In this video we'll get to know a few of the more common data structures that you use every day.
The bread and butter of technical interview questions. If you're going for a job at Google, Microsoft, Amazon or Facebook - you can be almost guaranteed to be asked a question that used a binary tree of some kind.
You will likely *never* need to implement a sorting algorithm - but understanding how they work could come in handy at some point. Interviews and workarounds for framework problems come to mind.
You now know all about trees and graphs - but how do you use them? With search and traversal algorithms of course! This is the next part you'll need to know when you're asked a traversal question in an interview. And you will be.
Dynamic programming gives us a way to elegantly create algorithms for various problems and can greatly improve the way you solve problems in your daily work. It can also help you ace an interview.
The use of prime numbers is everywhere in computer science... in fact you're using them right now to connect to this website, read your email and send text messages.
How can you traverse a graph ensuring you take the route with the lowest cost? The Bellman-Ford algorithm will answer this question.
Bellman-Ford works well but it takes too long and your graph can't have cycles. Dijkstra solved this problem with an elegant solution.
Tried and true design patterns for creating objects in an object-oriented language.
As your application grows in size you need to have a plan to handle the increase in complexity. The Gang of Four have some ideas that could work for you.
Mediators, Decorators and Facades - this is the deep end of object-oriented programming and something you'll come face to face with as your application grows.
You've heard the terms before: YAGNI, SOLID, Tell Don't ASK, DRY... what are they and what do they mean?
Testing code has moved beyond the realm of QA and into the realm of design, asking you to think about what you do before you do it. Let's have a look at some strategies.
It's a Unix world. You should have a functional knowledge of how to get around a Unix machine using the command line, as well as how to complete basic tasks using shell scripts and Make files.
I use the static site generator Jekyll to write my blog. I store the site at Github, who then translates and hosts it all for me for free. Jekyll is simple to use and I like it a lot. There's only one problem: it's a bit manual.
We dive into the install script for one of my favorite tools: Oh My Zsh! It looks cryptic, but deciphering shell scripts is an invaluable skill.
Make is a build utility that works with a file called a Makefile and basic shell scripts. It can be used to orchestrate the output of any project that requires a build phase. It's part of Linux and it's easy to use.
Come spend a few hours with me and let's explore the fun, fascinating world of Computer Science! I won't waste your time, promise - and I back that with a full, no-questions-asked guarantee.