A reading list of older articles to get you started
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A lot of you were unsure of how to start with this newsletter. So I have decided to compile some of the most key articles in one place, so you can hit the ground running. These are articles that go over ideas that show up repeatedly. Go through these to get yourself started.
Keep in Mind, there are a lot of amazing articles that I haven’t been able to include such as my article on Graphs, Chaos Engineering, Recursion, Bayesian Thinking, and Much more.
Math Mondays are dedicated to helping you understand the theoretical ideas in Math, Computer Science, and Technology. Topics range from theoretical ideas, and important implementations, to fun little math puzzles to help you change your perspective and boost your problem-solving skills. If you’re a developer, study the ideas in depth. If you’re a manager, understanding the principles at a higher level is enough.
The most important articles from that are-
Math is a Language- This is the exact process I use to teach myself Math and other complex topics in AI Research, Technology, and Machine Learning. Read it to boost your learning.
Math for Computer Science- The title explains everything. I created a video called Math for Machine Learning. This post is similar but focuses on more general Computer Science. Use it to study concepts to boost your software skills and problem-solving.
The Math of Scale- Tech is big because it operates at scale. However, people don’t fully understand what this means. Read the article below to gain some perspective on this counter-intuitive idea-
Technique Tuesdays are all about the tricks and techniques you can use to become a next-level tech professional. Study the amazing techniques used to solve various tricky challenges. Sometimes, we will cover techniques for Leetcode Problems. Other times, it will be about how a certain team/company accomplishes certain goals. Prepare to level up your game, every Tuesday-
How to Crush Daily Standups- Daily Standups are an integral part of being a software dev/manager. Learning to do them the right way will help you stand out in multiple ways.
Good Comments for Your Code- Having well-commented code is a game-changer. Use this to make your code comments much better.
How to create good documentation- Often documentation is one of the most valuable tasks you will perform. It’s also painfully overlooked. Use this guide to create better documentation.
Finance Fridays go over Tech as an industry. I cover various business models, weird ways tech companies are financed, personal finance tips for tech people, or how the most important news from the Tech Industry affects your wallet. Use this day to learn to spot scams, figure out your finances, or identify the next industry trends.
Lucrative Business of Lying about AI- How Media/Influencers/Intellectuals are all using hype (positive and negative) about AI to keep you hooked and make money from you.
Why Tech and Crypto Stocks are so extreme [Finance Fridays]- Why do Multi-Billion Dollar Tech companies go bankrupt in weeks? How do we end up with so many overvalued Tech Companies? Read more to find out.
The Metaverse is a good business move- A lot of online commentators are calling the Metaverse a waste of money. However, they are missing the bigger picture here. This article explains how the Metaverse fits into the overall strategy for Meta.
SBF is a fraud. But he was never the problem- Why the collapse of FTX is just a symptom of a larger problem at hand.
Personal Finance for Tech- An easy guide to take control of your finances
Why your manager Sucks- Why companies promote the wrong people and what you can do it.
There are a lot of lessons that we can learn from the stories of other people (including my own experiences). Whether it’s leadership lessons, how to progress in your career, job search tips, or how to learn complex topics, Saturdays have something for you.
How to be an effective leader- I like to talk to various leaders in Tech about their experiences and running teams. Here I compiled some of the themes I noticed when it comes to leadership.
What Distinguishes Great Software Engineers- Microsoft conducted very comprehensive research into this topic. My article summarizes the most important parts of their paper.
How to become very good at Machine Learning[Storytime Saturdays]- I taught myself Machine Learning, without any Master’s Degree or expensive courses. In this article, I cover the process I used to teach myself AI enough to work on some large-scale projects and become one of the top AI research writers on the internet.
How to Learn DSA. Pretty Self-Explanatory.
There are many more articles that I have written. Once again, the archive is the best place to find them. Read through them to learn more about your favorite topics
Go kill all,
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