Bex T.inDataDrivenInvestorHow to Explore and Clean Sensitive Data You Can’t Even See With AntigranularMar 2Mar 2
Bex T.inTowards AIAntigranular: How to Access Sensitive Datasets Without Looking At Themand develop privacy-first data projectsDec 22, 2023Dec 22, 2023
Bex T.inTowards AIPandas cut vs. qcut Explained Clearly (Finally)How to customarily bin data in PandasNov 30, 20235Nov 30, 20235
Bex T.inTowards Data ScienceWhy You (Almost) Can’t Calculate Pi to a Billion Digits in Python at HomeIt is much harder than you thinkOct 9, 20235Oct 9, 20235
Bex T.inTowards AIThe (Truly) Hardest of Pandas: pivot and melt Clearly ExplainedMaster these head-scratchers like never beforeOct 2, 20232Oct 2, 20232
Bex T.Why Fluent English Is More Important Than Math or Programming For MLWriting code has lost its weightSep 26, 20237Sep 26, 20237
Bex T.inTowards AIThe Hardest of Pandas: pivot_table, stack, and unstack Clearly ExplainedMaster these head-scratchers like never beforeSep 22, 20234Sep 22, 20234
Bex T.inTowards AI3 Best (Often Better) Alternatives To HistogramsAvoid the most dangerous pitfall of histogramsSep 12, 202315Sep 12, 202315
Bex T.inTowards AIHow to Boost Pandas Speed And Process 10M-row Datasets in MillisecondsUse Pandas the way it was intended toSep 7, 20235Sep 7, 20235
Bex T.inTowards AI6 Pandas Mistakes That Silently Tell You Are a RookieNo error messages — that’s what makes them subtleSep 4, 202318Sep 4, 202318