PinnedPublished inTDS ArchiveHow to write better scientific code in Python?Few tips on how to write better code for data science using python and numpy. We us e a custom case to show good patterns.Feb 15, 2022Feb 15, 2022
PinnedPublished inTDS ArchiveData Scientists’ baptisms of fireDon’t let the trees prevent you from seeing the forest.Oct 29, 20211Oct 29, 20211
PinnedPublished inTDS ArchiveNon-tech skills that make you unsinkable in techWhat makes tech people successful? — a follow up article looking for the key soft skills.Jun 5, 2021Jun 5, 2021
PinnedPublished inTDS ArchiveWhy use SQL before using Pandas?Pandas vs SQL syntax and their advantages for dataset preparation, data cleaning, and transformation.Mar 7, 2021Mar 7, 2021
PinnedPublished inTDS ArchiveRun Jupyter Lab on Google ColaboratorySimple usage of a reverse SSH tunnel for to greatly improve the usability.Jan 18, 20211Jan 18, 20211
Published inTDS ArchiveHow to Handle an Autoregressive Model over Multiple Time SeriesUse factory pattern to design the code and avoid the data leakage.Nov 29, 2022Nov 29, 2022
Published inTDS ArchiveConvenient scheduler in pythonSmall-scale convenient approach to scheduling e.g. ETL tasks with python.Jun 21, 2022Jun 21, 2022
Published inTDS ArchiveAggregations on time-series data with PandasPython Pandas and SQL — time aggregations and syntax explained .Oct 9, 20211Oct 9, 20211
Published inTDS ArchiveLearn a new technology quickly? — here is howA few tricks on how to learn quickly — especially in the Data Science world.Sep 21, 20211Sep 21, 20211
Published inTDS ArchiveData analysis — best practicesMethods that make any data analysis task more manageable, based on my 10+ years of R&D experience.May 22, 2021May 22, 2021
