Success

Backend Developer | Python| Relational Database | Django | @alx_africa

[Success @jathom48]

I promise myself to be insanely good at Python by this time next year. Not chasing perfection but 1% better everyday

[Divya Kukreti @div_yahan]

My top Substack reads from last week

[Matt Dancho (Business Science) @mdancho84]

You only need to read four books to truly get what’s going on in data science and AI:

• Designing Machine Learning Systems by Chip Huyen
• AI Engineering by Chip Huyen
• Practical Statistics for Data Scientists by Peter Bruce, Andrew Bruce, and Peter Gedeck
• Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron

If you read these four technical books and then read these four books on business value and leadership, you’ll be well on your way to career success:

• The Lean Startup
• Good Strategy Bad Strategy
• The First 90 Days
• The Hard Thing About Hard Things

Any more you'd add?

[Dr Silverstone @DrSilverstone]

Being a doctor.
Training AI to take over my job.

[TK • 木下 @wordsofteekay]

This resonates a lot with my experience. My record was 60 books a year (not 80 in 6 months tho). Because I'm curious about a lot of things, many topics get my attention, so the "Parallelize" (books) tip is a really effective way to read more book. I read 3-4 at the same time, a bit every day, consistently. It turns out it is much easier to do, and in the long-term, I accomplish more.

Reading a lot also made me rethink about which books I choose to read (reading less → reading better books: https://t.co/15bp8ZjRIm). And because I usually read technical and non-fiction books, it's great to re-read them, take notes, and think in way to apply the ideas in my life (https://t.co/4r4rNBruhE).

"How To Read More" by Borretti: https://t.co/DW22tUxm7j

[Victor Okafor @TheVictorOkafor]

This is what peak delusion looks like.

I wrote this lengthy mail to my future self at 26, and vowed not to open it until my 27th birthday which was 10 months ahead. I totally forgot I wrote this mail and just opened it today.

Here’s a thread of what peak delusion looks like:

[Shubham Prakash @sbhm_prksh]

2016 -> 2026.

Took a decade to get from there to here.
Excited for the next chapter of learning, building, nd creating meaningful impact.

Lets see what we build by 2036.

[Success @jathom48]

@samyeshua_1 @OlatunjiAyokan2 Yes it worked boss

[Success @jathom48]

@samyeshua_1 @OlatunjiAyokan2 Ok

[Ryan Shrout @ryanshrout]

Spent some time with @Nvidia and @Microsoft on the new @Surface Laptop Ultra with RTX Spark.

This is a hell of a machine for sure; going to be interesting to see how its performance scales and how the software story plays out. Early demos were impressive.

[avrl ☘ @avrldotdev]

Day 3 of learning Go after office hours

Studied about Concurrency in Go:
- how Go handles concurrency
- Locks and Mutex
- Goroutines
- Channels (sender & receiver pattern)

It's very intuitive in Go coming from some experience in Java.

Will deep dive more in the coming days!

[avrl ☘ @avrldotdev]

Day 1 of learning Go after office hours.

Built a simple HTTP server (with routes) & learnt basic semantics with pointers, interfaces & structs

This project will finally turn into implementation for Raft from the official paper (link in comments)

Go is pretty nifty & cool :)

[Success @jathom48]

I just reached a new milestone in my Data Science journey with TS Academy! The experience has been incredibly rewarding. Ready to start your own journey? Apply now at https://t.co/sZGZnYnEr2 https://t.co/0EmAtu3fn6

[Success @jathom48]

@Tanver_13 @remotemondays please how does their interview work?

[Success @jathom48]

@EnidiokA @remotemondays Yeah it does l, but there are no Tasks for now

[om mishra @BuildWithOm]

6 months. 12 shipped projects. 1 goal: land a Data Scientist role.

If I had to build a hiring-proof Data Science portfolio from scratch.

I’d do this ...

Project 1: Data Cleaning Pipeline
Missing values, outlier detection, feature encoding, preprocessing automation, data validation.

Project 2: Exploratory Data Analysis
Visual storytelling, correlation analysis, trend detection, dashboard creation, business insights.

Project 3: Regression System
House price / sales prediction, feature engineering, model evaluation, error analysis.

Project 4: Classification Project
Customer churn, fraud detection, medical diagnosis, confusion matrix, ROC-AUC optimization.

Project 5: Recommendation Engine
Collaborative filtering, cosine similarity, ranking systems, personalized recommendations.

Project 6: Time Series Forecasting
Stock prediction, demand forecasting, seasonality analysis, Prophet / ARIMA / LSTM models.

Project 7: NLP Pipeline
Sentiment analysis, text classification, embeddings, transformers, topic modeling.

Project 8: Computer Vision System
Image classification, object detection, transfer learning, OpenCV preprocessing.

Project 9: End-to-End ML Deployment
FastAPI / Flask deployment, Dockerization, cloud hosting, monitoring, CI/CD.

Project 10: Big Data Processing
PySpark pipelines, distributed processing, ETL workflows, large-scale datasets.

Project 11: MLOps + Experiment Tracking
MLflow, model versioning, retraining pipelines, automated evaluation dashboards.

Project 12: Public Proof of Work
Technical blogs, GitHub repos, architecture diagrams, demo videos, Kaggle participation.

Most people stop after “Titanic dataset” tutorials.
Real candidates build systems that solve actual problems.

(save this)

[Success @jathom48]

@gregswago @remotemondays You dm is locked

[Success @jathom48]

@remotemondays @remotemondays I just got this from Turing, I also just completed the assessment

[UGO 🇬🇧 @heismric]

Many of the most successful people I
have come across have an insane work
ethic, with a faster response time,
almost like they are racing against time
itself, esp to like emails and other forms
of communication. But you’d find the
phones of people starting from
scratch on DND

[UGO 🇬🇧 @heismric]

1 year into Uni in the UK, I withdrew & told my school to cancel my student visa, went back to Lagos for 3 months & came back on a skilled worker visa that counts towards ILR, my family thought I was crazy. But I had negotiated a £6 figure salary job with COS + £20k signing bonus