LinuxIsCool

pip install python-dotenv anthropic set ANTHROPIC_API_KEY your-api-key-here

from anthropic import Anthropic
from dotenv import load_dotenv
import os

# Load environment variables
load_dotenv()

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function rustr
    if test (count $argv) -ne 1
        echo "Usage: rustr <filename>"
        return 1
    end

    set filename $argv[1]
    set output_file (string replace -r '\.rs$' '' $filename)

    # Create the build directory if it doesn't exist

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poetry export -f requirements.txt --without-hashes | sed 's/;.*//' > requirements.txt

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import param as pm
import pandas as pd

def serialize_param(obj: pm.Parameterized, skip_dataframes=True, exclude_params=None):
    """
    Recursively serialize a Parameterized object into a nested dictionary.
    
    Parameters:
    - obj: pm.Parameterized
        The object to serialize.

LinuxIsCool

import holoviews as hv
hv.extension('bokeh')

import pandas as pd

nodes = [
    {
        'name': 'A',
        'x': 1,
        'y': 0.5,

LinuxIsCool

import pandas as pd
import holoviews as hv
import hvplot.pandas
hv.Points((1,1)).opts(size=10) * hv.Points((2,2)).opts(size=10) * pd.DataFrame([[1,1],[2,2]]).hvplot.line(x='0',y='1')

LinuxIsCool

poetry export -f requirements.txt --without-hashes | sed 's/;.*//' > requirements.txt

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from streamz import Stream

def market_step(market_inputs):
    return {'market_movement': market_inputs['market_movement']}

def write(x):
    print(x)

def f(n=5):
    source = Stream(asynchronous=True)  # Configure the stream for asynchronous operation

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LinuxIsCool

import pandas as pd
import hvplot.pandas

df = pd.DataFrame({'x':range(10),'y':range(10), 'z':range(10)})

df.hvplot.step(x='x').opts(legend_position='top_left')

df = pd.DataFrame({'x':range(10),'y':range(10),'z':range(10)})

df.hvplot.line(x='x', legend='left')