💬 Add This Line to Your Code and Chat with Your Data

+ Software Developer Shapes💻, Spotify's data science personas🎵, Uber's DataMesh Explained🛠

Sep 30, 2024

Hi there!

This is our very first newsletter, and we're glad you're here! We've put together a mix of top job listings, articles and resources to help you level up your career.

Top Job Picks 🔝

Software Engineer - Mercury (Remote)
Data Scientist - Stripe (Remote)
ML Engineer - Bolt (Remote)

Looking for more opportunities? Join our Talent Pool for personalized job matches and explore all our listings at TopAIsJobs.com.

Engineering Edge 💻

Essential reads to enhance your coding and design practices

Understand The 4 Shapes of Software Developers to Better Navigate Your Career

- written by Petar Ivanov

Ever wondered what "shape" your skills make as a developer? This article introduces four types: I-shaped, T-shaped, PI-shaped/M-shaped, and Comb-shaped. Each represents a different mix of deep and broad skills. Finding out which one you are can help you focus on your strengths and decide where to head next in your career.

Clean Code: 7 tips to write clean functions

Written by Daniel Moka

Normalization is not enough anymore

Written by Raul Junco

15 LeetCode Problems to Get Better at Dynamic Programming

Written by javinpaul

Data Engineering Hub 🛠

Core knowledge for data engineers

DataMesh: How Uber laid the foundations for the data lake cloud migration

This article explores how Uber's DataMesh service simplifies cloud management by organizing data resources based on ownership while optimizing data placement and governance.

Timeless Skills For Data Engineers And Analysts

Written by SeattleDataGuy

Data Modeling in the Brave New Lakehouse World

Written by Daniel Beach

Data Science Spotlight 🔬

Are You a Dalia? How We Created Data Science Personas for Spotify’s Analytics Platform

Spotify's Analytics Platform team wanted to understand their data practitioners better to build tools that truly meet their needs. They noticed that the term "data scientist" was too broad, so they created six unique personas by combining interviews and data analysis.

What Feature Scaling and Standardization is NOT Used For?

Written by Avi Chawla

85 % of the Data Science Project Fails ...

Written by Nirmal Budhathoki

Data Analytics Digest 📊

Key insights from the world of analytics

PandasAI library: Chat with your data

Add Generative AI to Pandas and chat with your dataset just by adding a single line of code. The PandasAI library lets you analyze complex data frames, plot visualizations, and generate reports simply by using natural language.

5 Simple Techniques to Improve Your Queries

Written by Baraa Khatib Salkini

Time Series Forecasting: Definition, Applications, and Examples

by Tableau

Machine Learning Marvels 🤖

Important reads on ML algorithms and models

📑 Research Paper: OmniRe: Omni Urban Scene Reconstruction

Project | Code

OmniRe is a holistic approach for efficiently reconstructing high-fidelity dynamic urban scenes from on-device logs. It builds dynamic neural scene graphs to accurately model vehicles, pedestrians, and cyclists. With real-time simulation capabilities (~60 Hz).

Feature engineering in real-time

Written by Pau Labarta Bajo

What I've learned building MLOps systems for four years

Written by Mehmet Burak Sayıcı

Career Development 📈

Advice on leading and growing in tech

3 Critical Skills You Need to Grow Beyond Senior Levels in Engineering

- written by Irina Stanescu

Ready to move beyond Senior Engineer but not sure what it takes? This article breaks down 3 key skills you need to master. Learn how to maximize your impact, make smart decisions in uncertain situations, and rally others to your cause – even without directly managing them.