Unlock deeper analytical capabilities by integrating BQL, Bloomberg’s most advanced data API, with Python via the BQL Object Model. This session will feature practical demonstrations, code ...

Python is great because it includes an interactive mode for learning the language and quickly testing out code ideas. IPython ...

When doing data analysis, I prefer to use Jupyter notebooks as they provide a more convenient environment than the command line. You can inspect the data you are working with and write your ...

If you have a Microsoft 365 subscription, you can access Python within Excel, and you don't need to use Python as a separate app. Instead, you can visit the Formulas tab in Excel and select the Insert ...

Headquartered in Austin, Texas, Continuum Analytics offers add-on products and services that help organizations use Python for data analysis. The company will use the DARPA money to continue ...

Today, 58 percent who use Python do so for data analysis, up from 50 percent last year, overtaking web development on 52 percent. The other rapidly rising uses for Python are machine learning and ...

10 simple Python tips to speed up your data analysis October 12, 2020 - 11:39 am. Tips and ... but I’m sure they’ll come in pretty handy the next time you work on a data analysis project.

Data analysis remains Python's top purpose, cited by 59% of respondents, followed by web development at 51%, and machine learning at 40%. Image: Python Software Foundation/JetBrains ...

Researchers at Tsinghua University have unveiled a new Python toolkit for automated single-cell lineage tracing and analysis—featuring rapid barcode QC, clone-size metrics, dynamic Sankey ...