A rant about fundamental flaws in Unix userland, and a proposal for what could replace it. (Be warned: this one is quite long and rambling in parts!)

Replacing the Unix tradition

https://www.kickstarter.com/projects/annarettberg/meow-the-infinite-book-two

Q&A: https://youtu.be/cOcaj_cRBvE

Rebroadcast of an invited live lecture I gave to infura.io on https://www.twitch.tv/handmade_hero. The original had bad audio for the first few minutes, so I re-recorded and spliced it in for this corrected version. Otherwise, it is the same as the original live stream.

Where Does Bad Code Come From?

Learn the basics of Big O Notation and Time Complexity in this crash course video.  Learn how to evaluate and discuss the performance of different solutions to the same problem.  How do you know which implementation is best?

If you're ready to launch your career as a software engineer, check out my job-guaranteed bootcamp with Springboard: https://springboard.com/workshops/software-engineering-career-track/?utm_source=coltsteele&utm_medium=youtubedescription&utm_campaign=sec

Complete Beginner's Guide to Big O Notation

This is the most asked question on my channel by far so I thought I'd explain how I learned programming. In the process I got a little distracted and accidentally explained all of computer science in 8 minutes (kind of). 

The goal of this video was to show you the connections between modern day (high-level) programming and how it was implemented at the low level. I show you the basics in Java and convert it to C code, then into Assembly, which leads me to talk about how computers perform addition/subtraction, and the logic design behind that is all implemented with transistors. In case you couldn't tell, I love low level programming. Just a disclaimer that I'm not saying this is the best way to learn programming I am simply sharing what I feel was the most valuable in my learning so far. I know many people start with web technologies which can be a great introduction as well! I am currently teaching myself a lot of server networking & all that stuff. I just believe if you really want to understand how to design algorithms and solve problems in creative ways then the most valuable things you can learn are at the low level. Even though C is 40 years old it is still regarded as producing the most efficient code since you have full control over pointers and memory management with minimal overhead. (the only thing faster is assembly.. an even lower level)

Technical Resources!!
C Programming Language, 2nd Edition (Awesome Book): https://amzn.to/2LDeFOr
Easy68K (Assembly Simulator): http://www.easy68k.com/
Hexadecimal to Binary Conversions: https://www.rapidtables.com/convert/number/hex-dec-bin-converter.html
Two's Complement (Binary Addition/Subtraction): https://en.wikipedia.org/wiki/Two%27s_complement

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emo the optimist - fading light
Link: https://soundcloud.com/emotheoptimist/fading-light-2

shortfatty - distant
Link: https://soundcloud.com/shortfatty/distant

a l e x - This Week
Link: https://beatsupply.fanlink.to/growingupvol2

Weaver Beats² - TRAPPIN IN ＨＯＮＯＬＵＬＵ⁴
Link: https://soundcloud.com/weaverbeats2/trappin-4

a l e x - Soul Will Mess With Me
Link: https://beatsupply.fanlink.to/growingupvol2

a l e x - Peppy Won't Fly Straight and Its Getting on My Nerves
Link: https://beatsupply.fanlink.to/growingupvol2

3 years of Computer Science in 8 minutes

Since you guys really liked the last computer science video I decided to talk about my hardest CS course, nicknamed the "angel of death" at my school. It has a notoriously high fail rate for its assignments. You can expect to write a few thousand lines of C code in the first two assignments. This year we made a GEDCOM parser (which is actually what ancestry.com uses) to store information about family histories, allowing us to perform operations on family connections. In the second assignment we wrote a GEDCOM file writer, to create a GEDCOM file out of the memory objects. In the third assignment we used Node js and express to create a RESTful web server and UI for interacting with our parser. I tried to explain the file structure as best I could in a few minutes, so it will probably be very confusing to watch at first. The goal is to show you the complexities of the file structure, and how we built this web application to interface with our C API. This is basically how large scale cloud computing applications are made such as YouTube and Facebook.

GEDCOM Standard: https://edge.fscdn.org/assets/img/documents/ged551-86e5da89bae6ec7ba6f10e6794275d7e.pdf

The point I want to make is that this course is not as "hard" as everybody makes it out to be. Just dedicate at least two weeks to the assignment and you will be fine. None of the algorithms or data structures were difficult, rather it was the massive amount of errors possible when writing such a parser from scratch. There are thousands of tags and conditions if you want to create a full parser and identify everything listed in the standard. Thankfully we only implemented about half of the full parser seen on the standard (link above).

|| Technologies used ||

GEDCOM Parser API:
- C

Web server:
- Node js with express framework
- RESTful server, ajax, JSON
- JavaScript

Client:
- HTML, CSS, JavaScript, Bootstrap

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lzr - ride (ft. NIGHT GRIND)
Link: https://soundcloud.com/prodlzr/ride-ft-night-grind

cresce - Top Down ft. AUFL (produced by Cresce & Haelen)
Link: https://soundcloud.com/crescecknd/top-down-ft-aufl-produced-by-cresce-haelen

lux natura - gravity well
Link: https://soundcloud.com/luxnatura/gravity-well

Late June - Balcony [ep/tape]
Link: https://soundcloud.com/latejune/balcony

Late June - You & I
Link: https://soundcloud.com/latejune/you-i

Hardest Computer Science Course Explained | Angel of Death UoG

This is what I'm doing when I'm not posting YouTube videos. For a change I decided to film what I do at school, and show you guys some actual problems that software developers have to solve.

There's not much content on YouTube which actually shows real software dev, usually people just talk and don't really explain what they're doing. I want to take it upon myself to show what actually happens when writing software and if there's enough interest I can make videos as I am programming some new personal projects. On those I can actually show you guys code, and do whatever I want.

FAQ
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What year / major / school?
- Second year computer science at university of guelph

What language?
- Almost everything for my assignments is written in C, I've had one Java course. Personally I know Java the most, then C, some web stuff for my website (HTML, CSS, Javascript, Bootstrap), as well as R for stats courses. Oh and assembly haha that was fun.

How old is u?
- 19

Where u at?
- Canada

Why did u quit ur gaming channel?
- I want to be productive and create cool shit. Been working on many interesting side projects that I usually keep separate from YouTube but thinking about making videos about them. Gaming videos feel like a dead end for me creatively.

When can you post another video?
- When I'm not a slave to the education system (if everyone sent me a nice sum of money I could start my own company and be set, in the meantime subscribe and follow all my social medias will help) 

Can I see some code / what's next??
- ye look at my github (link under socials)

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VAGUE003 - drowning
Link: https://soundcloud.com/vague003/drowning

TNGLWD RECORDS - BAD GRAMMAR - Headright (Prod. machinesix & SABII)
Link: https://soundcloud.com/tnglwd/bad-grammar-headright

a l e x - Growing Up, Vol. 1 [preview]
Link: https://soundcloud.com/worsethanthis/growing-up-vol-1-lp

a l e x - double scoop [forthcoming]
Link: https://soundcloud.com/worsethanthis/double-scoop-forthcoming

Day in the Life of a Computer Science Student | UoG

Learning to program is hard because programming feels different than other skills. But programming isn't about the languages - it is about the way one should think. 

SPEAKER:
Andy Harris

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How To Think Like A Programmer

Dr. Talia Gershon, a materials scientist by training, came to IBM Research in 2012. After 4.5 years of developing next-generation solar cell materials, she got inspired to learn about quantum computing because it might enable all kinds of discoveries (including new materials). Having authored the Beginner's Guide to the QX, she passionately believes that anyone can get started learning quantum! - Maker Faire Bay Area 2017

PERMISSIONS: The original video was published on IBM Research YouTube channel with the Creative Commons Attribution license (reuse allowed).

ORIGINAL SOURCE: https://www.youtube.com/watch?v=S52rxZG-zi0


****
INTERESTED IN THE STOCK MARKET?
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