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	Podcast:		Talk Python To Me - Python conversations for passionate developers
	Episode:		#274 Profiling data science code with FIL
	Category:		Technology
	Duration:		00:58:12
	Publish Date:		2020-07-24 03:00:00
	Description:		Do you write data science code? Do you struggle loading large amounts of data or wonder what parts of your code use the maximum amount of memory? Maybe you just want to require smaller compute resources (servers, RAM, and so on). If so, this episode is for you. We have Itamar Turner-Trauring, creator of the Python data science memory profiler FIL here to talk memory usage and data science. Links from the show Itamar on twitter: @itamarst FIL: pythonspeed.com Python Bytes coverage of FIL: pythonbytes.fm Video: Small Big Data: using NumPy and Pandas when your data doesn't fit in memory: youtube.com Software Engineering for Data Scientists Article: pythonspeed.com Python Tutor: pythontutor.com Weak references: docs.python.org memory_profiler package: github.com Austin profiler: github.com WSL2 on Windows: pbpython.com/wsl-python.html Sponsors Linode Talk Python Training
	Total Play:		0