[BAWD #57] Thank you for 2021!
Hello there 👋🏾,
I trust you’re having a great holiday and spending quality time with friends and families? This is the 47th and last letter for 2021, and I’m super excited and grateful to YOU for sticking around, reading/utilizing/sharing my letters, and inviting others to subscribe. I started this newsletter just to ensure that I can share all the information and resources I have access to with those who might most likely not have access to them. The goal is that you find something, a product recommendation, a quote, a resource, a tool, an article, a piece of advice, or an opportunity that would help you grow and take you closer to your personal goal(s). So, thank you again for 2021, and I hope to see you next year.
—With 💙 from Bolaji Ayodeji.
Btw, as you prepare for the new year alongside the ritual “new year resolutions,” here’s a friendly reminder all big things come from small beginnings. The seed of every “big thing” is a single, tiny decision. But as that decision is repeated, a habit sprouts and grows stronger, roots entrench themselves, and branches grow. So as you plan, be intentional about making tiny decisions that will lead you to that massive goal. Building a good habit is like cultivating a delicate flower one day at a time.
If you love the content I share, please forward this email, share it on social media or invite your friends to subscribe. I’ll also appreciate your feedback or suggestion(s); thanks!
Featured Articles ✍️🏾
Founders, you don’t have to be CEO by James Routledge.
Understanding Rendering in the Jamstack by Brian Rinaldi.
The Ultimate Guide to Finding a Startup Job by Vinay Iyengar.
Image Completion with Deep Learning in TensorFlow by Brandon Amos.
Why Effective Communication in Leadership Is Your Most Important Skill by Grammarly.
Assessing the Performance of Django Applications with Blackfire by Shedrack Akintayo.
The Great Unbundling: JAMstack and the Future of the Web by Vinay Iyengar.
Designing Better Links For Websites And Emails: A Guideline by Slava.
Introducing Container Orchestration Using Kubernetes by Anita Ihuman.
How Are Function Components Different from Classes? by Dan Abramov.
Product of the Week ✨
TLDR This helps you summarize any piece of text into concise, easy-to-digest content so you can free yourself from information overload.
Do check it out here or upvote on Producthunt.
Good Tidings 🔊
Data Structures and Algorithms is one of the essential skills that every software engineer should have. Here’s a list of free and paid courses to help you learn DS and Algos.
Are you preparing for a coding interview? Here’s a collection of helpful practice interview questions.
ML Ops is a fast-rising set of practices that aims to deploy and maintain machine learning models in production. It will help if you read this piece to learn why model performance monitoring could be the next billion-dollar industry.
Ready to start practicing machine learning? Learn and apply fundamental machine learning concepts with Google's fast-paced, practical introduction to machine learning Crash Course.
Adora Nwodo has partnered with some folks to offer 15 Africans an opportunity to become professional DevOps engineers. Hurry and apply here.
Take over Javascript, React, Redux, Node.js, MongoDB, GraphQL, and TypeScript with a deep dive into modern web application development with this free full-stack web development course.
Here’s a curated list of project-based programming tutorials you can use to learn how to build applications from scratch.
This December, ship a site to Netlify and turn that dusty domain you’ve been squatting on into real money for charity.
Want to learn more about Commerce Layer? Do check out the developer’s hub or join the slack community to learn how to build the future of global e-commerce with commerce APIs.
With the rise of the metaverse and NFTs, you should join the Haze Monkey Soceity Discord to be a part of the new and growing NFT community.
Dev Term of the day 💾
ML Ops: This is a set of end-to-end machine learning development processes to design, build and manage reproducible, testable, and evolvable ML-powered software. Learn more here (text) or here (video).
Book Recommendations
Introduction to Algorithms by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein.
The Millionaire Next Door: The Surprising Secrets of America's Wealthy by Thomas J. Stanley and William D. Danko.
All of Grace by Charles Haddon Spurgeon.
Featured Tweets 😍
Sadly, I’ve been off Twitter, so I don’t have tweets to share. However, I’ll share some of my favorite videos from YouTube this week. Trust me; you might like them :)
⬇️: He Left USA to Build a Billion Dollar Tech Company in Nigeria
⬇️: #FoundersConnect: Interview with Michael 'Trojan' Okoh - Co-founder and CTO, ThePeer
⬇️: Hikaru Nakamura vs. Magnus Carlsen | Top 5 Best Moves
⬇️: Algorithmic Thinking, Peak Finding
Quote of the day 💙
“Success usually comes to those who are too busy looking for it.”–Henry David Thoreau
That's all for this letter. It will help if you forward this email to your friends. Also, if you've not subscribed yet, kindly subscribe below 😊. See you next week Sunday and stay safe!
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