PinnedCndro·Nov 24, 20228 Key Data Science and Analytics Trends You Should Look Out For in 2023Whether you are new to the world of data science or are already practicing data science, these 8 key trends will help you understand how…
PinnedInFAUN.dev() 🐾byCndro·Nov 2, 2022Data Lake Vs. Data Warehouse: Types, Tools, and Key DifferencesOutline
PinnedInPython in Plain EnglishbyCndro·Nov 4, 2022Top 7 Python Libraries for Data ScienceWhen starting your data science journey, choosing the right libraries for the job is important. To create data visualizations, Python…
PinnedCndro·Jul 14, 2022Why you Need to Start using Map, Filter, Reduce and Lambda in PythonIn this tutorial, we’ll discuss why we need to start using the following functions (Map, Filter, Reduce, and Lambda) in Python. We will…A response icon4A response icon4
PinnedInCodeXbyCndro·Jul 18, 2022Why Data Wrangling is Important: All You Need to KnowData Wrangling can be defined as a data munging process, whereby we clean, transform, structure, and organize, raw data to give us an…
Cndro·Jun 29Putting the Transformation on the Database with dbtAn earlier version of this piece was published on LinkedIn. This edition has been lightly revised for readers here.
InPython in Plain EnglishbyCndro·Apr 78 Silent Failures in 2 Workflow Files. Zero WarningsCI Passed. Production was Broken. Here is Why.
Cndro·Mar 30The Problem Was Already SolvedI studied data structures and algorithms for the same reason most people do: to get a job.
InTowards DevbyCndro·Mar 23Two Workflow Files, One Missing Step, and a Broken Kitchen DashboardHow duplicated CI/CD logic drifted, broke production, and why one shared workflow fixed it permanently
