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Itamar Turner-Trauring - Measuring memory: Python memory profilers and when to use them

Itamar Turner-Trauring - Measuring memory: Python memory profilers and when to use them

Itamar Turner-Trauring - Fil: A Python Memory Profiler - Pyninsula #27

Itamar Turner-Trauring - Fil: A Python Memory Profiler - Pyninsula #27

Itamar Turner-Trauring - Optimize first, parallelize second: a better path to faster data processing

Itamar Turner-Trauring - Optimize first, parallelize second: a better path to faster data processing

Itamar Turner-Trauring - A Beginner's Guide to Test-driven Development - PyCon 2015

Itamar Turner-Trauring - A Beginner's Guide to Test-driven Development - PyCon 2015

TALK / Itamar Turner-Trauring / 0 to production-ready: a best-practices process for Docker packaging

TALK / Itamar Turner-Trauring / 0 to production-ready: a best-practices process for Docker packaging

Eliot: Effective Logging with Itamar Turner-Trauring

Eliot: Effective Logging with Itamar Turner-Trauring

Logging for Scientific Computing: Debugging, Performance, Trust | Itamar Turner-Trauring

Logging for Scientific Computing: Debugging, Performance, Trust | Itamar Turner-Trauring

Itamar Turner-Trauring - Best practices for production-ready Docker packaging

Itamar Turner-Trauring - Best practices for production-ready Docker packaging

Itamar Turner-Trauring - Speed up Python data processing with vectorization | PyData Global 2022

Itamar Turner-Trauring - Speed up Python data processing with vectorization | PyData Global 2022

Lightning Talk: Sciagraph: always-on profiling for production batch jobs by Itamar Turner-Trauring

Lightning Talk: Sciagraph: always-on profiling for production batch jobs by Itamar Turner-Trauring

Itamar Turner-Trauring-Processing large JSON files without running out of memory-PyData Boston 2025

Itamar Turner-Trauring-Processing large JSON files without running out of memory-PyData Boston 2025

Season 2 Episode 10: Itamar Turner-Trauring

Season 2 Episode 10: Itamar Turner-Trauring

Itamar Turner-Trauring: Small Big Data: using NumPy and Pandas when your data... | PyData NYC 2019

Itamar Turner-Trauring: Small Big Data: using NumPy and Pandas when your data... | PyData NYC 2019

Itamar Turner Trauring - Zero to production ready: a best practices process for Docker packaging

Itamar Turner Trauring - Zero to production ready: a best practices process for Docker packaging

Itamar Turner-Trauring about his talk "Small Big Data: using NumPy and Pandas"

Itamar Turner-Trauring about his talk "Small Big Data: using NumPy and Pandas"

PyData Montreal #20 with Itamar Turner-Trauring

PyData Montreal #20 with Itamar Turner-Trauring

Talk: Itamar Turner-Trauring - Small Big Data: using NumPy and Pandas when your data doesn't fit ...

Talk: Itamar Turner-Trauring - Small Big Data: using NumPy and Pandas when your data doesn't fit ...

Eliot: Effective Logging with Itamar Turner-Trauring

Eliot: Effective Logging with Itamar Turner-Trauring

Processing large JSON files without running out of memory - Itamar Turner-Trauring

Processing large JSON files without running out of memory - Itamar Turner-Trauring

Zero to Production-Ready: A Best-Practices Process for Docker Packaging by Itamar Turner-Trauring

Zero to Production-Ready: A Best-Practices Process for Docker Packaging by Itamar Turner-Trauring

9/9 Research Software Engineering with Python (COMP233) - Performance

9/9 Research Software Engineering with Python (COMP233) - Performance

Logging for Scientific Computing: Reproducibility, Debugging, Optimization - PyCon 2019

Logging for Scientific Computing: Reproducibility, Debugging, Optimization - PyCon 2019

#274: Profiling Data Science Code with FIL

#274: Profiling Data Science Code with FIL

Intermediate Twisted: Test-Driven Networking Software

Intermediate Twisted: Test-Driven Networking Software

Seeking Faster Text Processing & Python's .__repr__() vs .__str__() | Real Python Podcast #153

Seeking Faster Text Processing & Python's .__repr__() vs .__str__() | Real Python Podcast #153

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