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Async Python for Data Scientists
2025-03-09
Mar 9, 2025
•
Laszlo Sragner
11
3
1
Faking OpenAI - Unit testing in the age of LLMs (Part Two)
2025-03-02
Mar 2, 2025
•
Laszlo Sragner
6
1
Mocking OpenAI - Unit testing in the age of LLMs (Part One)
2025-02-23
Feb 23, 2025
•
Laszlo Sragner
7
3
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What’s wrong with MLOps?
Apr 19, 2021
•
Laszlo Sragner
11
4
You only need 2 Design Patterns to improve the quality of your code in a data science project
Nov 1, 2021
•
Laszlo Sragner
20
5
CQ4DS - Python project from scratch with poetry, black, ruff, pytest, pre-commit-hooks and GitHub Actions in 15 minute tops
Aug 3, 2023
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Laszlo Sragner
14
4
You Only Need These 3 Data Roles in a Data-Driven Enterprise
May 24, 2021
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Laszlo Sragner
14
Clean Architecture in Data Science (Part 1)
Apr 24, 2022
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Laszlo Sragner
12
How can a Data Scientist refactor Jupyter notebooks towards production-quality code?
Oct 24, 2021
•
Laszlo Sragner
7
7
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Python Project Essentials course for $25
2024-09-23
Sep 23, 2024
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Laszlo Sragner
1
Ruff - the new king of Python code formatting
2024-07-19
Jul 18, 2024
•
Laszlo Sragner
7
1
Code Quality in Data Science: 17 posts on my substack
2024-06-29 - Clean Architecture, Design Patterns, Code Smells, Technical Debt
Jun 29, 2024
•
Laszlo Sragner
4
Python Project Essentials course for Data Scientists
On the MLOps Community Learning platform - 2024-05-20
May 20, 2024
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Laszlo Sragner
1
[Review]: Deploying AI Systems Securely
Best Practices for Deploying Secure and Resilient AI Systems from NSA, GCHQ, CSEC, ASD and NCSC
Apr 17, 2024
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Laszlo Sragner
2
1
Blueprinting and roadmapping in ML projects
2024-03-20
Mar 20, 2024
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Laszlo Sragner
6
1
How Data Scientists can sell "Tech Debt" to their managers?
[Interesting content] Code Quality: Debunking the Speed vs Quality Myth with Empirical Data
Mar 4, 2024
•
Laszlo Sragner
2
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Deliberate Machine Learning: Machine Learning Product Management & How to write better code as a DS?
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