Python Lesson 1 Collected Knowledge
by Apolinario "Sam" Ortega

(base) PS C:\Users\xxxxx>
conda activate py310
(py310) PS C:\Users\xxxxx> python C:\Users\xxxxx\my_code\bubble_sort2.py
(py310) PS C:\Users\xxxxx> python C:\Users\xxxxx\my_code\bar_chart_sorting.py

In a jupyter notebook cell, run

!python "C:/Users/xxxxx/my_code/
bubble_sort2.py"

!python "C:/Users/xxxxx/my_code
/bar_chart_sorting.py"

>>> exit()

Classic Notebook
(py310) PS C:\Users\xxxxx> jupyter notebook
(py310) PS C:\Users\xxxxx> jupyter lab
(base) PS C:\Users\xxxxx> conda activate py310
(py310) PS C:\Users\xxxxx> pip install plotly statsmodels

import pandas as pd
import sys
print('Python Version:'+ system.version) 

Python Version:3.10.20 | packaged by Anaconda, Inc. | (main, Mar 11 2026, 17:42:35) [MSC v.1942 64 bit (AMD64)]

print('Pandas Version : ' + pd.__version__
+ sys.version)

Pandas Version : 2.3.33.10.20 | packaged by Anaconda, Inc. | (main, Mar 11 2026, 17:42:35) [MSC v.1942 64 bit (AMD64)]

Windows Powershell
Using python interpreter

(py310) PS C:\Users\xxxxx> python

Using PowerShell Python Interpreter

>>> import pandas as pd
>>> titanic = pd.read_csv('/users/
xxxxx/projects/titanic.csv')
>>> titanic

     PassengerId  Survived  Pclass  ...
     Fare Cabin  Embarked
0              1         0       3  ...
7.2500   NaN         S
1              2         1       1  ...
71.2833   C85         C
2              3         1       3  ...
7.9250   NaN         S
3              4         1       1  ...
53.1000  C123         S
4              5         0       3  ...
8.0500   NaN         S
..           ...       ...     ...  ... 
...   ...       ...
886          887         0       2  ...
13.0000   NaN         S
887          888         1       1  ...
30.0000   B42         S
888          889         0       3  ...
23.4500   NaN         S
889          890         1       1  ...
30.0000  C148         C
890          891         0       3  ...
7.7500   NaN         Q

[891 rows x 12 columns]
Using jupyter notebook.

Using PowerShell Python Interpreter

Training on how to create data frame lesson 1.

data = ['Sunday',
'Monday',
'Tuesday',
'Wednesday',
'Thursday',
'Friday',
'Saturday']

# comment do shift + enter to create your data list of name of the week.

Using jupyter notebook.

Using PowerShell Python Interpreter

Training on how to create country data frame or column name is country.

>>> invbat_com_AI_top10_user_country = [
... 'United States','Vietnam','China','Japan','Canada',
... 'India','Netherlands','Brazil','Poland','Great Britain'
... ]
>>>
>>> df = pd.DataFrame(invbat_com_AI_top10
_user_country, columns=['country'])
>>> df
country
0 United States
1 Vietnam
2 China
3 Japan
4 Canada
5 India
6 Netherlands
7 Brazil
8 Poland
9 Great Britain
>>>

Using jupyter notebook.


Using PowerShell Python Interpreter

Training on how to create Number of User data frame or column name is Users.

>>> import pandas as pd >>> >>> Number_of_User = ['37,281','7,905','2,758','2,752', '2,096','1,982','1,002', ... '984', '934', '635'] >>> df = pd.DataFrame(Number_of_User, columns=['Users']) >>> df Users 0 37,281 1 7,905 2 2,758 3 2,752 4 2,096 5 1,982 6 1,002 7 984 8 934 9 635 >>>

Using jupyter notebook.

Using PowerShell Python Interpreter

Training on how to create country and users data frame or two column tables Country and Users

>>> import pandas as pd >>> >>> invbat_com_AI_top10_user_country = [ ... 'United States','Vietnam','China','Japan','Canada', ... 'India','Netherlands','Brazil','Poland','Great Britain' ... ] >>> Number_of_User = [ ... '37,281','7,905','2,758','2,752','2,096', ... '1,982','1,002','984','934','635' ... ] >>> >>> >>> df = pd.DataFrame({ ... 'country': invbat_com_AI_top10_user_country, ... 'users': Number_of_User ... }) >>> >>> df country users 0 United States 37,281 1 Vietnam 7,905 2 China 2,758 3 Japan 2,752 4 Canada 2,096 5 India 1,982 6 Netherlands 1,002 7 Brazil 984 8 Poland 934 9 Great Britain 635 >>>

Using jupyter notebook.

Show all pandas functions, classes, and attributes.
>>> dir(pd)

['BooleanDtype', 'Categorical', 'CategoricalDtype', 'CategoricalIndex', 'DataFrame', 'DateOffset', 'DatetimeIndex', 'DatetimeTZDtype', 'ExcelFile', 'ExcelWriter', 'Float64Index', 'Grouper', 'HDFStore', 'Index', 'IndexSlice', 'Int16Dtype', 'Int32Dtype', 'Int64Dtype', 'Int64Index', 'Int8Dtype', 'Interval', 'IntervalDtype', 'IntervalIndex', 'MultiIndex', 'NA', 'NaT', 'NamedAgg', 'Period', 'PeriodDtype', 'PeriodIndex', 'RangeIndex', 'Series', 'SparseDtype', 'StringDtype', 'Timedelta', 'TimedeltaIndex', 'Timestamp', 'UInt16Dtype', 'UInt32Dtype', 'UInt64Dtype', 'UInt64Index', 'UInt8Dtype', '__builtins__', '__cached__', '__doc__', '__docformat__', '__file__', '__getattr__', '__git_version__', '__loader__', '__name__', '__package__', '__path__', '__spec__', '__version__', '_config', '_hashtable', '_lib', '_libs', '_np_version_under1p14', '_np_version_under1p15', '_np_version_under1p16', '_np_version_under1p17', '_np_version_under1p18', '_testing', '_tslib', '_typing', '_version', 'api', 'array', 'arrays', 'bdate_range', 'compat', 'concat', 'core', 'crosstab', 'cut', 'date_range', 'describe_option', 'errors', 'eval', 'factorize', 'get_dummies', 'get_option', 'infer_freq', 'interval_range', 'io', 'isna', 'isnull', 'json_normalize', 'lreshape', 'melt', 'merge', 'merge_asof', 'merge_ordered', 'notna', 'notnull', 'offsets', 'option_context', 'options', 'pandas', 'period_range', 'pivot', 'pivot_table', 'plotting', 'qcut', 'read_clipboard', 'read_csv', 'read_excel', 'read_feather', 'read_fwf', 'read_gbq', 'read_hdf', 'read_html', 'read_json', 'read_orc', 'read_parquet', 'read_pickle', 'read_sas', 'read_spss', 'read_sql', 'read_sql_query', 'read_sql_table', 'read_stata', 'read_table', 'reset_option', 'set_eng_float_format', 'set_option', 'show_versions', 'test', 'testing', 'timedelta_range', 'to_datetime', 'to_numeric', 'to_pickle', 'to_timedelta', 'tseries', 'unique', 'util', 'value_counts', 'wide_to_long']

>>>pd.__version__

(py310) PS C:\Users\xxxxx> cd "C:\Users\xxxxx\anaconda3\envs\py310\Lib\site-packages\matplotlib"

(py310) PS C:\Users\xxxxx\anaconda3\envs\py310\Lib\site-packages\matplotlib> dir

Directory: C:\Users\xxxxx\anaconda3\envs\py310\Lib\site-packages\matplotlib

Length Name
------ ----
axes
backends
mpl-data
projections
sphinxext
style
testing
tests
tri
_api
__pycache__
73744 animation.py
6566 animation.pyi
63374 artist.py
7336 artist.pyi
104714 axis.py
10181 axis.pyi
131953 backend_bases.py
16270 backend_bases.pyi
11795 backend_managers.py
2253 backend_managers.pyi
33491 backend_tools.py
4142 backend_tools.pyi
19049 bezier.py
2586 bezier.pyi
7377 category.py
80020 cbook.py
6037 cbook.pyi
10350 cm.py
939 cm.pyi
96311 collections.py
10775 collections.pyi
60687 colorbar.py
4966 colorbar.pyi
25180 colorizer.py
3308 colorizer.pyi
137303 colors.py
14908 colors.pyi
4565 container.py
1805 container.pyi
68479 contour.py
5300 contour.pyi
66306 dates.py
42590 dviread.py
2139 dviread.pyi
142126 figure.py
14914 figure.pyi
57651 font_manager.py
5052 font_manager.pyi
979456 ft2font.cp310-win_amd64.pyd
9259 ft2font.pyi
29786 gridspec.py
5099 gridspec.pyi
7453 hatch.py
2098 hatch.pyi
69765 image.py
7066 image.pyi
10154 inset.py
968 inset.pyi
11433 layout_engine.py
1788 layout_engine.pyi
55343 legend.py
5364 legend.pyi
29872 legend_handler.py
7655 legend_handler.pyi
57920 lines.py
6081 lines.pyi
33708 markers.py
1678 markers.pyi
5104 mathtext.py
1045 mathtext.pyi
30210 mlab.py
3583 mlab.pyi
54490 offsetbox.py
9909 offsetbox.pyi
165064 patches.py
22649 patches.pyi
43269 path.py
4808 path.pyi
18387 patheffects.py
3664 patheffects.pyi
0 py.typed
2369 pylab.py
149717 pyplot.py
48676 quiver.py
5640 quiver.pyi
52790 rcsetup.py
4337 rcsetup.pyi
36151 sankey.py
1451 sankey.pyi
26924 scale.py
5057 scale.pyi
21923 spines.py
2951 spines.pyi
4997 stackplot.py
561 stackplot.pyi
24011 streamplot.py
2690 streamplot.pyi 27744 table.py
3098 table.pyi
15338 texmanager.py
1116 texmanager.pyi
70856 text.py
7021 text.pyi
13254 textpath.py
2529 textpath.pyi
107381 ticker.py
10604 ticker.pyi
99763 transforms.py
12102 transforms.pyi
2439 typing.py
6429 units.py
152774 widgets.py
15383 widgets.pyi
16692 _afm.py
7986 _animation_data.py
1224 _blocking_input.py
68014 _cm.py
97461 _cm_bivar.py
135004 _cm_listed.py
6630 _cm_multivar.py
34780 _color_data.py
170 _color_data.pyi
31485 _constrained_layout.py
157696 _c_internal_utils.cp310-win_amd64.pyd
377 _c_internal_utils.pyi
4435 _docstring.py
800 _docstring.pyi
6175 _enums.py
326 _enums.pyi
4365 _fontconfig_pattern.py
356352 _image.cp310-win_amd64.pyd
0 _image.pyi
2140 _internal_utils.py
21676 _layoutgrid.py
107336 _mathtext.py
65067 _mathtext_data.py
316928 _path.cp310-win_amd64.pyd
325 _path.pyi
4307 _pylab_helpers.py
1012 _pylab_helpers.pyi
599552 _qhull.cp310-win_amd64.pyd
0 _qhull.pyi
2538 _text_helpers.py
2787 _tight_bbox.py
12675 _tight_layout.py
291840 _tri.cp310-win_amd64.pyd
1429 _tri.pyi
28409 _type1font.py
19 _version.py
55823 __init__.py
3439 __init__.pyi

How to install pandas upgrade.

>>> exit()
PS C:\Users\xxxxx> pip install --upgrade pandas

PS C:\Users\xxxxx> conda init powershell
no change C:\Users\xxxxx\anaconda3\Scripts\
conda.exe
no change C:\Users\xxxxx\anaconda3\Scripts\conda-env.exe
no change C:\Users\xxxxx\anaconda3\Scripts\conda-script.py
no change C:\Users\xxxxx\anaconda3\Scripts\conda-env-script.py
no change C:\Users\xxxxx\anaconda3\condabin\conda.bat
no change C:\Users\xxxxx\anaconda3\Library\bin\conda.bat
no change C:\Users\xxxxx\anaconda3\condabin\_conda
_activate.bat
no change C:\Users\xxxxx\anaconda3\condabin\rename
_tmp.bat
no change C:\Users\xxxxx\anaconda3\condabin\conda_
auto_activate.bat
no change C:\Users\xxxxx\anaconda3\condabin\conda_
hook.bat
no change C:\Users\xxxxx\anaconda3\Scripts\activate.bat
no change C:\Users\xxxxx\anaconda3\condabin\
activate.bat
no change C:\Users\xxxxx\anaconda3\condabin\
deactivate.bat
modified C:\Users\xxxxx\anaconda3\Scripts\activate
modified C:\Users\xxxxx\anaconda3\Scripts\deactivate
modified C:\Users\xxxxx\anaconda3\etc\profile.d\
conda.sh
modified C:\Users\xxxxx\anaconda3\etc\fish\conf.d\
conda.fish
no change C:\Users\xxxxx\anaconda3\shell\condabin\
Conda.psm1
modified C:\Users\xxxxx\anaconda3\shell\condabin\conda-
hook.ps1
no change C:\Users\xxxxx\anaconda3\Lib\site-packages\
xontrib\conda.xsh
modified C:\Users\xxxxx\anaconda3\etc\profile.d\conda.csh
modified C:\Users\xxxxx\OneDrive\Documents\Windows
PowerShell\profile.ps1
==> For changes to take effect, close and re-open your current shell. <==
PS C:\Users\xxxxx>

PS C:\Users\xxxxx>Set-ExecutionPolicy -Scope CurrentUser -ExecutionPolicy RemoteSigned

Loading personal and system profiles took 1403ms.
(base) PS C:\Users\xxxxx>

## Package Plan ##

environment location: C:\Users\xxxxx\anaconda3\envs\py310

added / updated specs:
- python=3.10
The following packages will be downloaded:

package | build
---------------------------|-----------------
bzip2-1.0.8 | h2bbff1b_6 90 KB
ca-certificates-2026.3.19 | haa95532_0 126 KB
libexpat-2.8.0 | hd7fb8db_0 122 KB
libffi-3.4.8 | h2b21627_2 118 KB
libzlib-1.3.1 | h1c6eee0_1 62 KB
openssl-3.5.6 | hbb43b14_0 8.9 MB
packaging-26.0 | py310haa95532_0 166 KB
pip-26.0.1 | pyhc872135_1 1.1 MB
python-3.10.20 | h1044e36_0 15.5 MB
setuptools-82.0.1 | py310haa95532_0 1.2 MB
sqlite-3.51.2 | hee5a0db_0 917 KB
tk-8.6.15 | hf199647_0 3.5 MB
tzdata-2026a | he532380_0 117 KB
ucrt-10.0.22621.0 | haa95532_0 620 KB
vc-14.3 | h2df5915_10 19 KB
vc14_runtime-14.44.35208 | h4927774_10 825 KB
vs2015_runtime-14.44.35208 | ha6b5a95_10 19 KB
wheel-0.46.3 | py310haa95532_0 78 KB
xz-5.8.2 | h53af0af_0 265 KB
zlib-1.3.1 | h1c6eee0_1 104 KB
---------------------------------------------
Total: 33.8 MB

The following NEW packages will be INSTALLED:

bzip2 pkgs/main/win-64::bzip2-1.0.8-h2bbff1b_6
ca-certificates pkgs/main/win-64::ca-certificates-2026.3.19-haa95532_0
libexpat pkgs/main/win-64::libexpat-2.8.0-hd7fb8db_0
libffi pkgs/main/win-64::libffi-3.4.8-h2b21627_2
libzlib pkgs/main/win-64::libzlib-1.3.1-h1c6eee0_1
openssl pkgs/main/win-64::openssl-3.5.6-hbb43b14_0
packaging pkgs/main/win-64::packaging-26.0-py310haa95532_0
pip pkgs/main/noarch::pip-26.0.1-pyhc872135_1
python pkgs/main/win-64::python-3.10.20-h1044e36_0
setuptools pkgs/main/win-64::setuptools-82.0.1-py310haa95532_0
sqlite pkgs/main/win-64::sqlite-3.51.2-hee5a0db_0
tk pkgs/main/win-64::tk-8.6.15-hf199647_0
tzdata pkgs/main/noarch::tzdata-2026a-he532380_0
ucrt pkgs/main/win-64::ucrt-10.0.22621.0-haa95532_0
vc pkgs/main/win-64::vc-14.3-h2df5915_10
vc14_runtime pkgs/main/win-64::vc14_runtime-14.44.35208-h4927774_10
vs2015_runtime pkgs/main/win-64::vs2015_runtime-14.44.35208-ha6b5a95_10
wheel pkgs/main/win-64::wheel-0.46.3-py310haa95532_0
xz pkgs/main/win-64::xz-5.8.2-h53af0af_0
zlib pkgs/main/win-64::zlib-1.3.1-h1c6eee0_1

Proceed ([y]/n)? y

(base) PS C:\Users\xxxxx> conda activate py310

(py310) PS C:\Users\xxxxx> pip install pandas

Collecting pandas
Downloading pandas-2.3.3-cp310-cp310-win_amd64.whl.metadata (19 kB)
Collecting numpy>=1.22.4 (from pandas)
Downloading numpy-2.2.6-cp310-cp310-win_amd64.whl.metadata (60 kB)
Collecting python-dateutil>=2.8.2 (from pandas)
Downloading python_dateutil-2.9.0.post0-py2.py3-none-any.whl.metadata (8.4 kB)
Collecting pytz>=2020.1 (from pandas)
Downloading pytz-2026.2-py2.py3-none-any.whl.metadata (22 kB)
Collecting tzdata>=2022.7 (from pandas)
Downloading tzdata-2026.2-py2.py3-none-any.whl.metadata (1.4 kB)
Collecting six>=1.5 (from python-dateutil>=2.8.2->pandas)
Downloading six-1.17.0-py2.py3-none-any.whl.metadata (1.7 kB)
Downloading pandas-2.3.3-cp310-cp310-win_amd64.whl (11.3 MB)
━━11.3/11.3 MB 7.2 MB/s 0:00:01
Downloading numpy-2.2.6-cp310-cp310-win_amd64.whl (12.9 MB)
━━━━━━━━━━━━━━━━━━ 12.9/12.9 MB 10.2 MB/s 0:00:01
Downloading python_dateutil-2.9.0.post0-py2.py3-none-any.whl (229 kB)
Downloading pytz-2026.2-py2.py3-none-any.whl (510 kB)
Downloading six-1.17.0-py2.py3-none-any.whl (11 kB)
Downloading tzdata-2026.2-py2.py3-none-any.whl (349 kB)
Installing collected packages: pytz, tzdata, six, numpy, python-dateutil, pandas

Successfully installed numpy-2.2.6 pandas-2.3.3 python-dateutil-2.9.0.post0 pytz-2026.2 six-1.17.0 tzdata-2026.2

(py310) PS C:\Users\xxxxx> pip install numpy pandas matplotlib seaborn scipy scikit-learn jupyter

Requirement already satisfied: numpy in .\anaconda3\envs\py310\lib\site-packages (2.2.6)
Requirement already satisfied: pandas in .\anaconda3\envs\py310\lib\site-packages (2.3.3)
Collecting matplotlib
Downloading matplotlib-3.10.9-cp310-cp310-win_amd64.whl.metadata (52 kB)
Collecting seaborn
Downloading seaborn-0.13.2-py3-none-any.whl.metadata (5.4 kB)
Collecting scipy
Downloading scipy-1.15.3-cp310-cp310-win_amd64.whl.metadata (60 kB)
Collecting scikit-learn
Downloading scikit_learn-1.7.2-cp310-cp310-win_amd64.whl.metadata (11 kB)
Collecting jupyter
Downloading jupyter-1.1.1-py2.py3-none-any.whl.metadata (2.0 kB)

Requirement already satisfied: python-dateutil>=2.8.2 in .\anaconda3\envs\py310\lib\site-packages (from pandas) (2.9.0.post0)
Requirement already satisfied: pytz>=2020.1 in .\anaconda3\envs\py310\lib\site-packages (from pandas) (2026.2)
Requirement already satisfied: tzdata>=2022.7 in .\anaconda3\envs\py310\lib\site-packages (from pandas) (2026.2)
Collecting contourpy>=1.0.1 (from matplotlib)
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Collecting cycler>=0.10 (from matplotlib)
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Collecting fonttools>=4.22.0 (from matplotlib)
Downloading fonttools-4.63.0-cp310-cp310-win_amd64.whl.metadata (121 kB)
Collecting kiwisolver>=1.3.1 (from matplotlib)
Downloading kiwisolver-1.5.0-cp310-cp310-win_amd64.whl.metadata (5.2 kB)
Requirement already satisfied: packaging>=20.0 in .\anaconda3\envs\py310\lib\site-packages (from matplotlib) (26.0)
Collecting pillow>=8 (from matplotlib)
Downloading pillow-12.2.0-cp310-cp310-win_amd64.whl.metadata (9.0 kB)
Collecting pyparsing>=3 (from matplotlib)
Downloading pyparsing-3.3.2-py3-none-any.whl.metadata (5.8 kB)
Collecting joblib>=1.2.0 (from scikit-learn)
Downloading joblib-1.5.3-py3-none-any.whl.metadata (5.5 kB)
Collecting threadpoolctl>=3.1.0 (from scikit-learn)
Downloading threadpoolctl-3.6.0-py3-none-any.whl.metadata (13 kB)
Collecting notebook (from jupyter)
Downloading notebook-7.5.6-py3-none-any.whl.metadata (10 kB)
Collecting jupyter-console (from jupyter)
Downloading jupyter_console-6.6.3-py3-none-any.whl.metadata (5.8 kB)
Collecting nbconvert (from jupyter)
Downloading nbconvert-7.17.1-py3-none-any.whl.metadata (8.4 kB)
Collecting ipykernel (from jupyter)
Downloading ipykernel-7.2.0-py3-none-any.whl.metadata (4.5 kB)
Collecting ipywidgets (from jupyter)
Downloading ipywidgets-8.1.8-py3-none-any.whl.metadata (2.4 kB)
Collecting jupyterlab (from jupyter)
Downloading jupyterlab-4.5.7-py3-none-any.whl.metadata (16 kB)
Requirement already satisfied: six>=1.5 in .\anaconda3\envs\py310\lib\site-packages (from python-dateutil>=2.8.2->pandas) (1.17.0)
Collecting comm>=0.1.1 (from ipykernel->jupyter)
Downloading comm-0.2.3-py3-none-any.whl.metadata (3.7 kB)
Collecting debugpy>=1.6.5 (from ipykernel->jupyter)
Downloading debugpy-1.8.20-cp310-cp310-win_amd64.whl.metadata (1.5 kB)
Collecting ipython>=7.23.1 (from ipykernel->jupyter)
Downloading ipython-8.39.0-py3-none-any.whl.metadata (5.1 kB)
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Collecting jupyter-core!=6.0.*,>=5.1 (from ipykernel->jupyter)
Downloading jupyter_core-5.9.1-py3-none-any.whl.metadata (1.5 kB)
Collecting matplotlib-inline>=0.1 (from ipykernel->jupyter)
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Collecting nest-asyncio>=1.4 (from ipykernel->jupyter)
Downloading nest_asyncio-1.6.0-py3-none-any.whl.metadata (2.8 kB)
Collecting psutil>=5.7 (from ipykernel->jupyter)
Downloading psutil-7.2.2-cp37-abi3-win_amd64.whl.metadata (22 kB)
Collecting pyzmq>=25 (from ipykernel->jupyter)
Downloading pyzmq-27.1.0-cp310-cp310-win_amd64.whl.metadata (6.0 kB)
Collecting tornado>=6.4.1 (from ipykernel->jupyter)
Downloading tornado-6.5.5-cp39-abi3-win_amd64.whl.metadata (2.9 kB)
Collecting traitlets>=5.4.0 (from ipykernel->jupyter)
Downloading traitlets-5.15.0-py3-none-any.whl.metadata (10 kB)
Collecting colorama (from ipython>=7.23.1->ipykernel->jupyter)
Downloading colorama-0.4.6-py2.py3-none-any.whl.metadata (17 kB)
Collecting decorator (from ipython>=7.23.1->ipykernel->jupyter)
Downloading decorator-5.2.1-py3-none-any.whl.metadata (3.9 kB)
Collecting exceptiongroup (from ipython>=7.23.1->ipykernel->jupyter)
Downloading exceptiongroup-1.3.1-py3-none-any.whl.metadata (6.7 kB)
Collecting jedi>=0.16 (from ipython>=7.23.1->ipykernel->jupyter)
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Downloading certifi-2026.4.22-py3-none-any.whl (135 kB) Downloading rfc3986_validator-0.1.1-py2.py3-none-any.whl (4.2 kB) Downloading rfc3987_syntax-1.1.0-py3-none-any.whl (8.0 kB) Downloading lark-1.3.1-py3-none-any.whl (113 kB) Downloading rpds_py-0.30.0-cp310-cp310-win_amd64.whl (235 kB) Downloading send2trash-2.1.0-py3-none-any.whl (17 kB) Downloading terminado-0.18.1-py3-none-any.whl (14 kB) Downloading tomli-2.4.1-py3-none-any.whl (14 kB) Downloading webcolors-25.10.0-py3-none-any.whl (14 kB) Downloading webencodings-0.5.1-py2.py3-none-any.whl (11 kB) Downloading websocket_client-1.9.0-py3-none-any.whl (82 kB) Downloading argon2_cffi_bindings-25.1.0-cp39-abi3-win_amd64.whl (31 kB) Downloading cffi-2.0.0-cp310-cp310-win_amd64.whl (182 kB) Downloading beautifulsoup4-4.14.3-py3-none-any.whl (107 kB) Downloading soupsieve-2.8.3-py3-none-any.whl (37 kB) Downloading defusedxml-0.7.1-py2.py3-none-any.whl (25 kB) Downloading fqdn-1.5.1-py3-none-any.whl (9.1 kB) Downloading 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pyyaml, pywinpty, python-json-logger, pyparsing, pygments, pycparser, psutil, prometheus-client, platformdirs, pillow, parso, pandocfilters, overrides, nest-asyncio, MarkupSafe, lark, kiwisolver, jupyterlab_widgets, jupyterlab-pygments, jsonpointer, json5, joblib, idna, h11, fqdn, fonttools, executing, defusedxml, decorator, debugpy, cycler, contourpy, comm, colorama, charset_normalizer, certifi, bleach, babel, attrs, asttokens, terminado, stack_data, scikit-learn, rfc3987-syntax, requests, referencing, prompt_toolkit, mistune, matplotlib-inline, matplotlib, jupyter-core, jinja2, jedi, httpcore, exceptiongroup, cffi, beautifulsoup4, async-lru, arrow, seaborn, jupyter-server-terminals, jupyter-client, jsonschema-specifications, isoduration, ipython, argon2-cffi-bindings, anyio, jsonschema, ipywidgets, ipykernel, httpx, argon2-cffi, nbformat, jupyter-console, nbclient, jupyter-events, nbconvert, jupyter-server, notebook-shim, jupyterlab-server, jupyter-lsp, jupyterlab, notebook, jupyter Successfully installed MarkupSafe-3.0.3 anyio-4.13.0 argon2-cffi-25.1.0 argon2-cffi-bindings-25.1.0 arrow-1.4.0 asttokens-3.0.1 async-lru-2.3.0 attrs-26.1.0 babel-2.18.0 beautifulsoup4-4.14.3 bleach-6.3.0 certifi-2026.4.22 cffi-2.0.0 charset_normalizer-3.4.7 colorama-0.4.6 comm-0.2.3 contourpy-1.3.2 cycler-0.12.1 debugpy-1.8.20 decorator-5.2.1 defusedxml-0.7.1 exceptiongroup-1.3.1 executing-2.2.1 fastjsonschema-2.21.2 fonttools-4.63.0 fqdn-1.5.1 h11-0.16.0 httpcore-1.0.9 httpx-0.28.1 idna-3.15 ipykernel-7.2.0 ipython-8.39.0 ipywidgets-8.1.8 isoduration-20.11.0 jedi-0.20.0 jinja2-3.1.6 joblib-1.5.3 json5-0.14.0 jsonpointer-3.1.1 jsonschema-4.26.0 jsonschema-specifications-2025.9.1 jupyter-1.1.1 jupyter-client-8.8.0 jupyter-console-6.6.3 jupyter-core-5.9.1 jupyter-events-0.12.1 jupyter-lsp-2.3.1 jupyter-server-2.18.2 jupyter-server-terminals-0.5.4 jupyterlab-4.5.7 jupyterlab-pygments-0.3.0 jupyterlab-server-2.28.0 jupyterlab_widgets-3.0.16 kiwisolver-1.5.0 lark-1.3.1 matplotlib-3.10.9 matplotlib-inline-0.2.2 mistune-3.2.1 nbclient-0.10.4 nbconvert-7.17.1 nbformat-5.10.4 nest-asyncio-1.6.0 notebook-7.5.6 notebook-shim-0.2.4 overrides-7.7.0 pandocfilters-1.5.1 parso-0.8.7 pillow-12.2.0 platformdirs-4.9.6 prometheus-client-0.25.0 prompt_toolkit-3.0.52 psutil-7.2.2 pure-eval-0.2.3 pycparser-3.0 pygments-2.20.0 pyparsing-3.3.2 python-json-logger-4.1.0 pywinpty-3.0.3 pyyaml-6.0.3 pyzmq-27.1.0 referencing-0.37.0 requests-2.34.2 rfc3339-validator-0.1.4 rfc3986-validator-0.1.1 rfc3987-syntax-1.1.0 rpds-py-0.30.0 scikit-learn-1.7.2 scipy-1.15.3 seaborn-0.13.2 send2trash-2.1.0 soupsieve-2.8.3 stack_data-0.6.3 terminado-0.18.1 threadpoolctl-3.6.0 tinycss2-1.4.0 tomli-2.4.1 tornado-6.5.5 traitlets-5.15.0 typing_extensions-4.15.0 uri-template-1.3.0 urllib3-2.7.0 wcwidth-0.7.0 webcolors-25.10.0 webencodings-0.5.1 websocket-client-1.9.0 widgetsnbextension-4.0.15 (py310) PS C:\Users\xxxxx>