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1.The IKEA Test for New Hires in Startups (medium.com/iris.bro)
1 point by dice89 on Feb 6, 2020 | past | 1 comment
2.Top Data Science Books to help you grow in 2020 (medium.com/alexander.mueller)
1 point by dice89 on Jan 18, 2020 | past
3.Fast in-memory spatial radius queries with Python (medium.com/alexander.mueller)
2 points by dice89 on Jan 2, 2020 | past
4.Rolling Aggregations on Time Series Data with Pandas (medium.com/alexander.mueller)
3 points by dice89 on Dec 28, 2019 | past
5.A Deep Learning Environment with Terraform, Google Cloud,Gitlab and Docker (medium.com/alexander.mueller)
4 points by dice89 on Jan 21, 2019 | past
6.Python Plotting API: Expose your scientific python plots through a flask API (towardsdatascience.com)
2 points by dice89 on Jan 8, 2019 | past
7.The Berlin startup employee guide:What to look for when finding a place to work? (medium.com/alexander.mueller)
1 point by dice89 on April 11, 2018 | past
8.5 reasons why jupyter notebooks suck (medium.com/alexander.mueller)
15 points by dice89 on March 24, 2018 | past | 13 comments
9.Experiments with in-memory spatial radius queries in Python (minodes.com)
4 points by dice89 on Aug 9, 2017 | past
10.Ask HN: Why is there not unsupervised anomaly detection module in python
1 point by dice89 on Aug 8, 2017 | past | 2 comments
11.Improved logging for ruby sinatra applications (github.com/minodes)
2 points by dice89 on July 18, 2016 | past

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