KDnuggets’ Favourite Articles of the Yr for 2024

Picture by Editor | Ideogram

As one other yr involves a detailed, we wished to provide you with a solution to showcase a few of our many articles from all through 2024. Usually we share a listing of our most seen articles (which we will probably be doing later this week as effectively!), however we determined to place a little bit of a twist on issues by attempting a novel various strategy.

That we did was ask our frequently contributing KDnuggets writing group members to pick their favourite article — that they wrote — that was printed in 2024, and tell us why it was their favourite of the yr. We’ve compiled the outcomes beneath, and invite everybody to take a look at the numerous articles and causes for themselves.

Please benefit from the favourite 2024 articles of our writing group, as you get to know their motivations just a little bit higher.

Bala Priya C, Contributing Editor & Technical Content material Specialist

 
Bala’s favourite article of the yr was 5 Common Python Gotchas (And How To Avoid Them)

Bala: “Python tutorials are at all times my favourite type of articles to work on. And taking a look at a few of Python’s sharp corners—specializing in immutability quirks and evasive scope—was particularly enjoyable. As a substitute of a how-to tutorial telling the reader “how” to do one thing, this one focuses on “how & why” a few of Python’s options can shock you—even in a supposedly easy code. I hope to do a component 2 to this text some day! As I’ve written within the article’s intro: this is why I believe Python devs could discover (or would have discovered) this text helpful (and maybe fascinating?). “Python is a beginner-friendly and versatile programming language recognized for its simplicity and readability. Its elegant syntax, nevertheless, will not be resistant to quirks that may shock even skilled Python builders. And understanding these is important for writing bug-free code—or pain-free debugging if you’ll.“

Nisha Arya, Contributing Editor

 
Nisha’s favourite article of the yr was The Surge in Tech Layoffs 2024: Who’s to Blame?

Nisha: “When writing this text, I used to be additionally one of many victims of the unlucky tech layoffs. After I was scoping my LinkedIn for jobs, I used to be seeing extra ‘Open to Work’ banners than I ever have. It was at this level I began to do some digging into the stats behind the layoffs and wished to offer a neighborhood who we’re broadly affected some peace of thoughts to stay hopeful all year long“

Abid Ali Awan, Contributing Editor

 
Abid’s favourite article of the yr was How to Learn Python the Lazy Way

Abid: “I’ve seen a pattern the place college students query why they should study to code if they will simply ask ChatGPT to generate code for them. With new know-how, the motivation to study complicated programming languages is lowering. As an educator, I must create a enjoyable, interactive, distinctive research plan to assist Gen Z develop the required abilities to safe a developer job at a good firm.“

Iván Palomares Carrascosa, Technical Content material Specialist

 
Iván’s favourite article of the yr was 10 Critical AI Concepts Explained in 5 Minutes

Iván: “This text synthesises one in every of my all-time favorite subjects I like to show as a coach and teacher throughout a part of my skilled work: understanding Synthetic Intelligence and AI literacy fundamentals. Greedy the ideas put collectively on this article means for a lot of learners throughout the globe their first step of their AI journey, and it feels rewarding to make my little contribution to that.“

Jayita Gulati, Technical Content material Specialist

 
Jayita’s favourite article of the yr was How to Create YouTube Video Study Guides with NotebookLM

Jayita: “I loved writing about creating YouTube research guides with NotebookLM as a result of it reveals how know-how can assist set up studying. Researching NotebookLM’s options helped me perceive the way it simplifies organizing notes, syncing video content material, and enhancing research effectivity.“

Kanwal Mehreen, Technical Editor & Content material Specialist

 
Kanwal’s favourite article of the yr was Pip Install YOU: A Beginner’s Guide to Creating Your Python Library

Kanwal: As a pc science pupil, I used Python packages on a regular basis however at all times questioned how one can create one myself. The tutorials I got here throughout had been both too superior or skipped the fundamentals, leaving me extra confused. In 2024, I made a decision to jot down my very own information, “Pip Set up YOU: A Newbie’s Information to Creating Your Python Library.” I wished it to be brief, clear, and simple to observe for anybody beginning out. Wanting again, it is my favourite article as a result of it turned an intimidating subject into one thing accessible, useful, and enjoyable—a small step in the direction of empowering others in tech.

Shittu Olumide, Technical Content material Specialist

 
Shittu’s favourite article of the yr was Beginner’s Guide to Building LLM Apps with Python

Shittu: “I’m notably fascinated by the AI/LLM house, and once I acquired the chance to jot down this text for rookies, I needed to flashback and use myself as a case research. Then, I started to jot down the article primarily based on the questions I had once I was beginning out to study extra about LLMs. I additionally did quite a lot of analysis to verify my article was on level, the supply was proper, the code was correct, and it was clear.“

Nate Rosidi, Market Traits & SQL Content material Specialist

 
Nate’s favourite article of the yr was Bootstrapping Your Data Science Career: A Guide to Self-Learning Pathways

Nate: “I actually cherished writing this text as a result of I acquired to interrupt down all the talents you’ll want to be an information scientist after which discover superior assets to assist folks study them. It took some time to search out all these assets, however I do know it will save up-and-coming knowledge scientists a ton of effort and time!“

Cornellius Yudha Wijaya, Technical Content material Specialist

 
Cornellius’ favourite article of the yr was Step-by-Step Tutorial to Building Your First Machine Learning Model

Cornellius: “I favored to jot down this one as it’s returning to the fundamentals, however it’s nonetheless nice to jot down because it requires some analysis to construct a stable knowledge science challenge. Furthermore, it was obtained effectively by many, and lots of readers have mentioned they cherished it.“

 
All the KDnuggets group hopes that you just all had a unbelievable 2024, and we want you the easiest for 2025 and past!
 
 

Matthew Mayo (@mattmayo13) holds a grasp’s diploma in pc science and a graduate diploma in knowledge mining. As managing editor of KDnuggets & Statology, and contributing editor at Machine Learning Mastery, Matthew goals to make complicated knowledge science ideas accessible. His skilled pursuits embody pure language processing, language fashions, machine studying algorithms, and exploring rising AI. He’s pushed by a mission to democratize data within the knowledge science neighborhood. Matthew has been coding since he was 6 years outdated.