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As a genius expert, it is my duty to inform you: Programmers are not doctors 👩‍⚕️🤖 #pythonbytes


Want to find some good podcast(s) about latest python news: libs, releases, trending stuff. Before listen only pythonbytes.fm (will continue, love them), many others I tried were ppl focused or some narrow topics. Any suggestions? #Python #Podcast #PythonBytes


#PythonBytes NumPy is a fundamental tool in the data scientist's toolkit, enabling efficient data manipulation and computation. #DataScience #Python #CodeTips

L2D_Team's tweet image. #PythonBytes NumPy is a fundamental tool in the data scientist's toolkit, enabling efficient data manipulation and computation. 

#DataScience #Python #CodeTips
L2D_Team's tweet image. #PythonBytes NumPy is a fundamental tool in the data scientist's toolkit, enabling efficient data manipulation and computation. 

#DataScience #Python #CodeTips
L2D_Team's tweet image. #PythonBytes NumPy is a fundamental tool in the data scientist's toolkit, enabling efficient data manipulation and computation. 

#DataScience #Python #CodeTips

In this #PythonBytes the example #Python code demonstrates how to detect and visualise outliers in experimental data using Z-scores and scatter plots, highlighting anomalies that deviate significantly from the mean.

L2D_Team's tweet image. In this #PythonBytes the example #Python code demonstrates how to detect and visualise outliers in experimental data using Z-scores and scatter plots, highlighting anomalies that deviate significantly from the mean.
L2D_Team's tweet image. In this #PythonBytes the example #Python code demonstrates how to detect and visualise outliers in experimental data using Z-scores and scatter plots, highlighting anomalies that deviate significantly from the mean.
L2D_Team's tweet image. In this #PythonBytes the example #Python code demonstrates how to detect and visualise outliers in experimental data using Z-scores and scatter plots, highlighting anomalies that deviate significantly from the mean.
L2D_Team's tweet image. In this #PythonBytes the example #Python code demonstrates how to detect and visualise outliers in experimental data using Z-scores and scatter plots, highlighting anomalies that deviate significantly from the mean.

Brak wyników dla „#pythonbytes”
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