Re-enable in-text computations
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parent
2c5cf37b2c
commit
c9e12252fd
3 changed files with 41 additions and 30 deletions
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@ -5,7 +5,7 @@ project:
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- popcorn.qmd
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- popcorn.qmd
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execute:
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execute:
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cache: true
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cache: false
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theme:
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theme:
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# light: flatly
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# light: flatly
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@ -455,15 +455,9 @@ def plt_kernel_versions():
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.alias("major_ver"),
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.alias("major_ver"),
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pl.col("kernel").str.replace(r"(\d+\.\d+).*", "${1}").alias("minor_ver"),
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pl.col("kernel").str.replace(r"(\d+\.\d+).*", "${1}").alias("minor_ver"),
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)
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)
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.filter(pl.col("major_ver") != 99)
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)
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)
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kernel_df_v99 = (
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kernel_df_lazy.filter(pl.col("major_ver") == 99)
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.collect(engine="streaming")
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.select("date")
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)
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kernel_df_lazy = kernel_df_lazy.filter(pl.col("major_ver") != 99)
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(
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(
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lp.ggplot(
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lp.ggplot(
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kernel_df_lazy.with_columns(pl.col("major_ver").cast(pl.String))
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kernel_df_lazy.with_columns(pl.col("major_ver").cast(pl.String))
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@ -482,23 +476,31 @@ def plt_kernel_versions():
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return
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return
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@app.cell(hide_code=True)
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@app.cell
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def _(kernel_df_v99: pl.DataFrame):
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def df_kernel_v99():
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mo.md(
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kernel_df_v99 = (
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rf"""
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pl.scan_csv(
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f"{DATA_DIR}/kernels.csv",
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When looking at the kernel versions used, we see a very strong jump between major kernel version
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schema={
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4 and major kernel version 5.
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"date": pl.Date,
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"kernel": pl.String,
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For this analysis we had to exclude {kernel_df_v99.select(pl.len()).item()} rows which were
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"downloads": pl.UInt16,
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apparently from the future, as they were running variations of major kernel version 99. In all
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},
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likelihood there is a custom kernel version out there which reports its own major version as 99.
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The strange version starts appearing on {kernel_df_v99.select("date").row(0)[0]} and shows up
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all the way until {kernel_df_v99.select("date").row(-1)[0]}.
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"""
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)
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)
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return
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.fill_null(0)
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.with_columns(pl.col("kernel").str.replace(r"(\d+\.\d+\.\d+).*", "${1}"))
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.with_columns(
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pl.col("kernel")
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.str.replace(r"(\d+).*", "${1}")
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.str.to_integer(dtype=pl.UInt8)
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.alias("major_ver"),
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pl.col("kernel").str.replace(r"(\d+\.\d+).*", "${1}").alias("minor_ver"),
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)
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.filter(pl.col("major_ver") == 99)
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.collect(engine="streaming")
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.select("date")
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)
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kernel_df_v99
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@app.cell
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@app.cell
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21
popcorn.qmd
21
popcorn.qmd
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@ -321,11 +321,11 @@ thirty_plus = df_pkg_dl.sort("count", descending=False).filter((pl.col("count")
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```
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```
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To be more precise with the numbers:
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To be more precise with the numbers:
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There are `python f"{get_num(one_ten_installs):,}"` packages which have between one
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There are `{python} f"{get_num(one_ten_installs):,}"` packages which have between one
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and ten installations in the data, `python f"{get_num(ten_twenty_installs):,}"`
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and ten installations in the data, `python f"{get_num(ten_twenty_installs):,}"`
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packages between eleven and 20 installations, and
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packages between eleven and 20 installations, and
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`python f"{get_num(twenty_thirty):,}"` packages between 21 and 30 installations.
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`{python} f"{get_num(twenty_thirty):,}"` packages between 21 and 30 installations.
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`python f"{get_num(thirty_plus):,}"` packages have over 30 installations.
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`{python} f"{get_num(thirty_plus):,}"` packages have over 30 installations.
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For now, these are the explorations I have done for the package data collected.
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For now, these are the explorations I have done for the package data collected.
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I think it is interesting to see, especially the evolution of package installations over time,
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I think it is interesting to see, especially the evolution of package installations over time,
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@ -384,13 +384,22 @@ and kernel 6 right after the report slump happened.
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This, in all likelihood, accounts for the slight imbalance between the numbers,
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This, in all likelihood, accounts for the slight imbalance between the numbers,
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and will shift over the coming months.
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and will shift over the coming months.
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```{python}
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from notebooks.popcorn import df_kernel_v99
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_, defs = df_kernel_v99.run() # pyright: ignore
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kernel_df_v99 = defs["kernel_df_v99"]
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v99_num_rows = f"{kernel_df_v99.select(pl.len()).item()}"
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v99_start_date = f"{kernel_df_v99.select("date").row(0)[0]}"
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v99_end_date = f"{kernel_df_v99.select("date").row(-1)[0]}"
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```
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Just like with kernel suffixes, for this analysis we also had to exclude
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Just like with kernel suffixes, for this analysis we also had to exclude
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{kernel_df_v99.select(pl.len()).item()} rows which were apparently from the
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`{python} v99_num_rows` rows which were apparently from the
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future --- as they were running variations of major kernel version 99. In all
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future --- as they were running variations of major kernel version 99. In all
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likelihood there is a custom compiled kernel version out there which reports its own
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likelihood there is a custom compiled kernel version out there which reports its own
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major version as 99. The strange version starts appearing on
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major version as 99. The strange version starts appearing on
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{kernel_df_v99.select("date").row(0)0} and shows up all the way until
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`{python} v99_start_date` and shows up all the way until
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{kernel_df_v99.select("date").row(-1)[0]}.
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`{python} v99_end_date`.
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Let's turn to the actual adoption of kernels over time in the next visualization.
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Let's turn to the actual adoption of kernels over time in the next visualization.
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