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PoC: PyScript IDE Component #358

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PoC: PyScript IDE Component #358

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bb038e4
added a Pyscript IDE which supports Pandas Library
its-ChaTTy Mar 30, 2024
5a4d5d1
Fixed the length of the component
its-ChaTTy Mar 31, 2024
f07808e
Fixed the length of the component
its-ChaTTy Mar 31, 2024
cba1d82
Fixed the length of the component
its-ChaTTy Mar 31, 2024
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3 changes: 2 additions & 1 deletion _sources/index.rst
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Expand Up @@ -31,4 +31,5 @@ Contenidos:
:maxdepth: 1

index_es
index_en
index_en
pycomponent
8 changes: 8 additions & 0 deletions _sources/pycomponent.rst
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==================
PyScript Component
==================

This is a demo implementation of a PyScript component. It is a simple component that takes a Python script as input and executes it. This component also has support for Pandas library.

.. raw:: html
:file: ../pyscript.html
1 change: 1 addition & 0 deletions build_info
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unknown-0-0
53 changes: 53 additions & 0 deletions pyscript.html
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<div>
<iframe height="600px" width="100%" srcdoc='
<!DOCTYPE html>
<html>
<head>
<link rel="stylesheet" href="https://pyscript.net/latest/pyscript.css" />
<script defer src="https://pyscript.net/latest/pyscript.js"></script>
<style>
.py-repl-run-button{opacity: 1;}
.py-repl-output{margin-top: 1rem;background-color: #000;color: #fff;font-family: monospace;padding: 0.5rem;min-height: 10em;overflow: auto;}
</style>
</head>
<body>
<py-config>
terminal = false
packages = ["pandas", "matplotlib", "numpy"]
</py-config>
<py-repl id="code">
</py-repl>

</body>
</html>'
style="border: 8px solid #ccc;border-radius: 10px;"
>
</iframe>
</div>

<!-- import pandas as pd

# Create a dictionary of data
data = {'Name': ['Alice', 'Bob', 'Charlie', 'David'],
'Age': [25, 30, 35, 40],
'City': ['New York', 'Los Angeles', 'Chicago', 'Houston']}

# Create a DataFrame from the dictionary
df = pd.DataFrame(data)

# Print the DataFrame
print("Original DataFrame:")
print(df)
print()

# Add a new column
df['Salary'] = [50000, 60000, 70000, 80000]

# Print the modified DataFrame
print("DataFrame with Salary column added:")
print(df)
print()

# Calculate the average age
average_age = df['Age'].mean()
print("Average age:", average_age) -->
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