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#pandas — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #pandas, aggregated by home.social.

  1. We just finished another day at #EuroPython2026 in Krakow. But the fun keeps coming -- either at a social event, or using #Python #Pandas to analyze Krakow tourism data from the Polish government!

    Level up your data-analysis skills every Wednesday: BambooWeekly.com

  2. We just finished another day at in Krakow. But the fun keeps coming -- either at a social event, or using to analyze Krakow tourism data from the Polish government!

    Level up your data-analysis skills every Wednesday: BambooWeekly.com

  3. We just finished another day at #EuroPython2026 in Krakow. But the fun keeps coming -- either at a social event, or using #Python #Pandas to analyze Krakow tourism data from the Polish government!

    Level up your data-analysis skills every Wednesday: BambooWeekly.com

  4. We just finished another day at #EuroPython2026 in Krakow. But the fun keeps coming -- either at a social event, or using #Python #Pandas to analyze Krakow tourism data from the Polish government!

    Level up your data-analysis skills every Wednesday: BambooWeekly.com

  5. We just finished another day at #EuroPython2026 in Krakow. But the fun keeps coming -- either at a social event, or using #Python #Pandas to analyze Krakow tourism data from the Polish government!

    Level up your data-analysis skills every Wednesday: BambooWeekly.com

  6. I'm in Krakow for #EuroPython, and as such, Bamboo Weekly is about tourism to Krakow. Get data from the Polish government, and answer data-analysis questions with #Python #Pandas!

    More info: BambooWeekly.com

  7. I'm in Krakow for , and as such, Bamboo Weekly is about tourism to Krakow. Get data from the Polish government, and answer data-analysis questions with !

    More info: BambooWeekly.com

  8. I'm in Krakow for #EuroPython, and as such, Bamboo Weekly is about tourism to Krakow. Get data from the Polish government, and answer data-analysis questions with #Python #Pandas!

    More info: BambooWeekly.com

  9. I'm in Krakow for #EuroPython, and as such, Bamboo Weekly is about tourism to Krakow. Get data from the Polish government, and answer data-analysis questions with #Python #Pandas!

    More info: BambooWeekly.com

  10. I'm in Krakow for #EuroPython, and as such, Bamboo Weekly is about tourism to Krakow. Get data from the Polish government, and answer data-analysis questions with #Python #Pandas!

    More info: BambooWeekly.com

  11. #NVIDIA published a blog post where they present GQE, a GPU-based query engine. Querying data from databases with GPU accelleration is beyond cool, and will certainly optimize the storage requirements for #bigdata due to enabling for more efficient compression algorithms. Here is the blog post:

    Designing GPU-Accelerated Query Engines with NVIDIA GQE

    #bigdata #databases #polars #pandas #datascience

  12. #NVIDIA published a blog post where they present GQE, a GPU-based query engine. Querying data from databases with GPU accelleration is beyond cool, and will certainly optimize the storage requirements for #bigdata due to enabling for more efficient compression algorithms. Here is the blog post:

    Designing GPU-Accelerated Query Engines with NVIDIA GQE

    #bigdata #databases #polars #pandas #datascience

  13. #NVIDIA published a blog post where they present GQE, a GPU-based query engine. Querying data from databases with GPU accelleration is beyond cool, and will certainly optimize the storage requirements for #bigdata due to enabling for more efficient compression algorithms. Here is the blog post:

    Designing GPU-Accelerated Query Engines with NVIDIA GQE

    #bigdata #databases #polars #pandas #datascience

  14. #NVIDIA published a blog post where they present GQE, a GPU-based query engine. Querying data from databases with GPU accelleration is beyond cool, and will certainly optimize the storage requirements for #bigdata due to enabling for more efficient compression algorithms. Here is the blog post:

    Designing GPU-Accelerated Query Engines with NVIDIA GQE

    #bigdata #databases #polars #pandas #datascience

  15. #NVIDIA published a blog post where they present GQE, a GPU-based query engine. Querying data from databases with GPU accelleration is beyond cool, and will certainly optimize the storage requirements for #bigdata due to enabling for more efficient compression algorithms. Here is the blog post:

    Designing GPU-Accelerated Query Engines with NVIDIA GQE

    #bigdata #databases #polars #pandas #datascience

  16. Europe has been pretty hot lately -- and in the latest Bamboo Weekly, we used #Python #Pandas, GeoPandas, Marimo, and Plotly to find out just *how* hot.

    Every week, get better at data analysis: BambooWeekly.com

  17. Europe has been pretty hot lately -- and in the latest Bamboo Weekly, we used , GeoPandas, Marimo, and Plotly to find out just *how* hot.

    Every week, get better at data analysis: BambooWeekly.com

  18. Europe has been pretty hot lately -- and in the latest Bamboo Weekly, we used #Python #Pandas, GeoPandas, Marimo, and Plotly to find out just *how* hot.

    Every week, get better at data analysis: BambooWeekly.com

  19. Europe has been pretty hot lately -- and in the latest Bamboo Weekly, we used #Python #Pandas, GeoPandas, Marimo, and Plotly to find out just *how* hot.

    Every week, get better at data analysis: BambooWeekly.com

  20. Europe has been pretty hot lately -- and in the latest Bamboo Weekly, we used #Python #Pandas, GeoPandas, Marimo, and Plotly to find out just *how* hot.

    Every week, get better at data analysis: BambooWeekly.com

  21. Europe has been very hot for the last few weeks. How hot? In the latest Bamboo Weekly, we use #Python #Pandas to find out, using APIs and GeoPandas. Plus, we use Marimo for interactive plots.

    Level up your data skills at BambooWeekly.com ... and stay cool!

  22. Europe has been very hot for the last few weeks. How hot? In the latest Bamboo Weekly, we use to find out, using APIs and GeoPandas. Plus, we use Marimo for interactive plots.

    Level up your data skills at BambooWeekly.com ... and stay cool!

  23. Europe has been very hot for the last few weeks. How hot? In the latest Bamboo Weekly, we use #Python #Pandas to find out, using APIs and GeoPandas. Plus, we use Marimo for interactive plots.

    Level up your data skills at BambooWeekly.com ... and stay cool!

  24. Europe has been very hot for the last few weeks. How hot? In the latest Bamboo Weekly, we use #Python #Pandas to find out, using APIs and GeoPandas. Plus, we use Marimo for interactive plots.

    Level up your data skills at BambooWeekly.com ... and stay cool!

  25. Europe has been very hot for the last few weeks. How hot? In the latest Bamboo Weekly, we use #Python #Pandas to find out, using APIs and GeoPandas. Plus, we use Marimo for interactive plots.

    Level up your data skills at BambooWeekly.com ... and stay cool!

  26. #AIP:
    "
    ".. extrem lichtschwache Zwerggalaxie wurde in der Nähe der Andromedagalaxie (M31) erstmals beobachtet. .. Studie legt nahe, dass die Galaxie, benannt And XXXVI, eine der lichtschwächsten Satellitengalaxien im Umfeld von Andromeda ist. ..
    "
    ".. Alter von etwa 12,5 Milliarden Jahren .. erstaunlich arm an schweren Elementen .."

    aip.de/de/news/galaxy-around-a

    29.6.2026

    #Andromeda #AndXXXVI #Astronomie #DM #DunkleMaterie #Galaxie #GTC #Kosmologie #PAndAS #Standardmodell #Universum #Zwerggalaxie

  27. #AIP:
    "
    ".. extrem lichtschwache Zwerggalaxie wurde in der Nähe der Andromedagalaxie (M31) erstmals beobachtet. .. Studie legt nahe, dass die Galaxie, benannt And XXXVI, eine der lichtschwächsten Satellitengalaxien im Umfeld von Andromeda ist. ..
    "
    ".. Alter von etwa 12,5 Milliarden Jahren .. erstaunlich arm an schweren Elementen .."

    aip.de/de/news/galaxy-around-a

    29.6.2026

    #Andromeda #AndXXXVI #Astronomie #DM #DunkleMaterie #Galaxie #GTC #Kosmologie #PAndAS #Standardmodell #Universum #Zwerggalaxie

  28. #AIP:
    "
    ".. extrem lichtschwache Zwerggalaxie wurde in der Nähe der Andromedagalaxie (M31) erstmals beobachtet. .. Studie legt nahe, dass die Galaxie, benannt And XXXVI, eine der lichtschwächsten Satellitengalaxien im Umfeld von Andromeda ist. ..
    "
    ".. Alter von etwa 12,5 Milliarden Jahren .. erstaunlich arm an schweren Elementen .."

    aip.de/de/news/galaxy-around-a

    29.6.2026

    #Andromeda #AndXXXVI #Astronomie #DM #DunkleMaterie #Galaxie #GTC #Kosmologie #PAndAS #Standardmodell #Universum #Zwerggalaxie

  29. #AIP:
    "
    ".. extrem lichtschwache Zwerggalaxie wurde in der Nähe der Andromedagalaxie (M31) erstmals beobachtet. .. Studie legt nahe, dass die Galaxie, benannt And XXXVI, eine der lichtschwächsten Satellitengalaxien im Umfeld von Andromeda ist. ..
    "
    ".. Alter von etwa 12,5 Milliarden Jahren .. erstaunlich arm an schweren Elementen .."

    aip.de/de/news/galaxy-around-a

    29.6.2026

    #Andromeda #AndXXXVI #Astronomie #DM #DunkleMaterie #Galaxie #GTC #Kosmologie #PAndAS #Standardmodell #Universum #Zwerggalaxie

  30. #AIP:
    "
    ".. extrem lichtschwache Zwerggalaxie wurde in der Nähe der Andromedagalaxie (M31) erstmals beobachtet. .. Studie legt nahe, dass die Galaxie, benannt And XXXVI, eine der lichtschwächsten Satellitengalaxien im Umfeld von Andromeda ist. ..
    "
    ".. Alter von etwa 12,5 Milliarden Jahren .. erstaunlich arm an schweren Elementen .."

    aip.de/de/news/galaxy-around-a

    29.6.2026

    #Andromeda #AndXXXVI #Astronomie #DM #DunkleMaterie #Galaxie #GTC #Kosmologie #PAndAS #Standardmodell #Universum #Zwerggalaxie

  31. Trying to use .loc to retrieve a slice in #Python #Pandas? If the index repeats, you need to sort it:

    s = Series([10, 20, 30], index=list('aba'))

    s.loc['a':'b'] # KeyError: "Cannot get left slice bound for non-unique label: 'a'"

    s.sort_index().loc['a':'b'] # works!

  32. Trying to use .loc to retrieve a slice in ? If the index repeats, you need to sort it:

    s = Series([10, 20, 30], index=list('aba'))

    s.loc['a':'b'] # KeyError: "Cannot get left slice bound for non-unique label: 'a'"

    s.sort_index().loc['a':'b'] # works!

  33. Trying to use .loc to retrieve a slice in #Python #Pandas? If the index repeats, you need to sort it:

    s = Series([10, 20, 30], index=list('aba'))

    s.loc['a':'b'] # KeyError: "Cannot get left slice bound for non-unique label: 'a'"

    s.sort_index().loc['a':'b'] # works!

  34. Trying to use .loc to retrieve a slice in #Python #Pandas? If the index repeats, you need to sort it:

    s = Series([10, 20, 30], index=list('aba'))

    s.loc['a':'b'] # KeyError: "Cannot get left slice bound for non-unique label: 'a'"

    s.sort_index().loc['a':'b'] # works!

  35. Trying to use .loc to retrieve a slice in #Python #Pandas? If the index repeats, you need to sort it:

    s = Series([10, 20, 30], index=list('aba'))

    s.loc['a':'b'] # KeyError: "Cannot get left slice bound for non-unique label: 'a'"

    s.sort_index().loc['a':'b'] # works!

  36. Retrieve from a #Python #Pandas data frame with .loc, which takes 2 arguments:

    1. Row selector: index, list of indexes, or a mask index (i.e., booleans)
    2. Optional column selector: column name or a list of column names

    .loc uses [] and not (), so you can use slices!

  37. Retrieve from a data frame with .loc, which takes 2 arguments:

    1. Row selector: index, list of indexes, or a mask index (i.e., booleans)
    2. Optional column selector: column name or a list of column names

    .loc uses [] and not (), so you can use slices!

  38. Retrieve from a #Python #Pandas data frame with .loc, which takes 2 arguments:

    1. Row selector: index, list of indexes, or a mask index (i.e., booleans)
    2. Optional column selector: column name or a list of column names

    .loc uses [] and not (), so you can use slices!

  39. Retrieve from a #Python #Pandas data frame with .loc, which takes 2 arguments:

    1. Row selector: index, list of indexes, or a mask index (i.e., booleans)
    2. Optional column selector: column name or a list of column names

    .loc uses [] and not (), so you can use slices!

  40. Retrieve from a #Python #Pandas data frame with .loc, which takes 2 arguments:

    1. Row selector: index, list of indexes, or a mask index (i.e., booleans)
    2. Optional column selector: column name or a list of column names

    .loc uses [] and not (), so you can use slices!

  41. Looking to level up your #Python, #Pandas, or #Git?

    My in-browser, interactive AI tutor — used in all LernerPython courses — has you covered.

    This week's new features:

    • Live pair programming
    • Translation of questions into your native language
    • SQL exercises

    Try it (free, no obligation) at buff.ly/zY4k23g

  42. Looking to level up your , , or ?

    My in-browser, interactive AI tutor — used in all LernerPython courses — has you covered.

    This week's new features:

    • Live pair programming
    • Translation of questions into your native language
    • SQL exercises

    Try it (free, no obligation) at buff.ly/zY4k23g

  43. Looking to level up your #Python, #Pandas, or #Git?

    My in-browser, interactive AI tutor — used in all LernerPython courses — has you covered.

    This week's new features:

    • Live pair programming
    • Translation of questions into your native language
    • SQL exercises

    Try it (free, no obligation) at buff.ly/zY4k23g

  44. Looking to level up your #Python, #Pandas, or #Git?

    My in-browser, interactive AI tutor — used in all LernerPython courses — has you covered.

    This week's new features:

    • Live pair programming
    • Translation of questions into your native language
    • SQL exercises

    Try it (free, no obligation) at buff.ly/zY4k23g

  45. Looking to level up your #Python, #Pandas, or #Git?

    My in-browser, interactive AI tutor — used in all LernerPython courses — has you covered.

    This week's new features:

    • Live pair programming
    • Translation of questions into your native language
    • SQL exercises

    Try it (free, no obligation) at buff.ly/zY4k23g