<jupyter_start><jupyter_text>Test that Python works - create a plot with seaborn<jupyter_code># This image does not yet have these packages installed
!mamba install -yq numpy seaborn<jupyter_output><empty_output><jupyter_text>Example from https://seaborn.pydata.org/examples/hexbin_marginals.html<jupyter_code>import numpy as np
import seaborn as sns
sns.set_theme(style="ticks")

rs = np.random.RandomState(11)
x = rs.gamma(2, size=1000)
y = -.5 * x + rs.normal(size=1000)

sns.jointplot(x=x, y=y, kind="hex", color="#4CB391")<jupyter_output><empty_output><jupyter_text>Test Julia integration works   Install PyJuliaIf you need to call Julia from Python, this docker image may not be the best as it uses conda to install Python.The following workaround is needed for this to work:https://pyjulia.readthedocs.io/en/latest/troubleshooting.html<jupyter_code># Install PyJulia
!pip install julia
from julia.api import Julia
jl = Julia(compiled_modules=False)
from julia import Base
Base.maximum([1, 4, 0, -1, 3])<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.1039461020211742, 'fraction_numerical': 0.02021174205967276, 'mean_word_length': 6.375886524822695, 'pattern_counts': {'":': 0, '<': 13, '<?xml version=': 0, '>': 13, 'https://': 2, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '3', 'dir': 'jupyter-structured-clean-dedup', 'id': '479195', 'license': 'MIT', 'n_tokens_mistral': 385, 'n_tokens_neox': 360, 'n_words': 101, 'path': '1.6-cudagl/python-test.ipynb', 'repo_name': 'StatisticalMice/julia-jupyter-docker', 'size': '1039'}