Zero or null. Mathematically correct or practically useful. Marco Gorelli digs into a real design trade-off between Polars and SQL, and shares an opinion on which one gets it right.
Full talk: buff.ly/L0duaRh
#Polars #SQL #DataEngineering #PythonData #Quansight
Full talk: buff.ly/L0duaRh
#Polars #SQL #DataEngineering #PythonData #Quansight
October 7, 2026 at 3:05 PM
Zero or null. Mathematically correct or practically useful. Marco Gorelli digs into a real design trade-off between Polars and SQL, and shares an opinion on which one gets it right.
Full talk: buff.ly/L0duaRh
#Polars #SQL #DataEngineering #PythonData #Quansight
Full talk: buff.ly/L0duaRh
#Polars #SQL #DataEngineering #PythonData #Quansight
Everyone rushes to compare Polars and SQL on speed and syntax. Marco Gorelli points out that almost nobody is comparing the semantics, the actual mental models behind each one.
Full talk from PyData London: buff.ly/uInE29g
#Polars #SQL #PythonData #DataEngineering #Quansight
Full talk from PyData London: buff.ly/uInE29g
#Polars #SQL #PythonData #DataEngineering #Quansight
September 8, 2026 at 6:03 PM
Everyone rushes to compare Polars and SQL on speed and syntax. Marco Gorelli points out that almost nobody is comparing the semantics, the actual mental models behind each one.
Full talk from PyData London: buff.ly/uInE29g
#Polars #SQL #PythonData #DataEngineering #Quansight
Full talk from PyData London: buff.ly/uInE29g
#Polars #SQL #PythonData #DataEngineering #Quansight
🧵 Ingesting CSV and JSON with Python
📁 Use pandas to load structured data from flat files.
Fast, intuitive, and compatible with most workflows.
#PythonData #Pandas #CSV #JSON #DataIngestion
📁 Use pandas to load structured data from flat files.
Fast, intuitive, and compatible with most workflows.
#PythonData #Pandas #CSV #JSON #DataIngestion
July 8, 2025 at 12:12 PM
🧵 Ingesting CSV and JSON with Python
📁 Use pandas to load structured data from flat files.
Fast, intuitive, and compatible with most workflows.
#PythonData #Pandas #CSV #JSON #DataIngestion
📁 Use pandas to load structured data from flat files.
Fast, intuitive, and compatible with most workflows.
#PythonData #Pandas #CSV #JSON #DataIngestion
Today's challenge on LeetCode: Patients With a Condition
Hint: Use .contains() with regex to handle variations
Give it a shot! [https://leetcode.com/problems/patients-with-a-condition?envType=study-plan-v2&envId=30-days-of-pandas&lang=pythondata] How did you approach it?
#Python #Pandas #DataScience
Hint: Use .contains() with regex to handle variations
Give it a shot! [https://leetcode.com/problems/patients-with-a-condition?envType=study-plan-v2&envId=30-days-of-pandas&lang=pythondata] How did you approach it?
#Python #Pandas #DataScience
March 6, 2025 at 3:52 AM
Today's challenge on LeetCode: Patients With a Condition
Hint: Use .contains() with regex to handle variations
Give it a shot! [https://leetcode.com/problems/patients-with-a-condition?envType=study-plan-v2&envId=30-days-of-pandas&lang=pythondata] How did you approach it?
#Python #Pandas #DataScience
Hint: Use .contains() with regex to handle variations
Give it a shot! [https://leetcode.com/problems/patients-with-a-condition?envType=study-plan-v2&envId=30-days-of-pandas&lang=pythondata] How did you approach it?
#Python #Pandas #DataScience
