packages = ["matplotlib", "numpy", "pandas"]
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▶ NumPy
▶ Pandas
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Python 3.11 (PyScript) - Interactive Python Terminal

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import js import sys from io import StringIO terminal_globals = {} def setup_uploaded_files(): """Make uploaded files available to Python environment""" try: uploaded_files = js.window.uploadedFiles if uploaded_files: import os # Ensure we're in a writable directory try: os.getcwd() except: os.chdir('/tmp') # Convert JavaScript object to Python dict # Use Object.keys() to get the filenames, then access each file filenames = js.Object.keys(uploaded_files).to_py() for filename in filenames: # Use JavaScript object property access via js module content = js.eval(f"window.uploadedFiles['{filename}']") # Write to current working directory try: with open(filename, 'w', encoding='utf-8') as f: f.write(content) # Verify file exists and is readable if os.path.exists(filename): with open(filename, 'r', encoding='utf-8') as f: test_content = f.read(100) # Read first 100 chars except Exception as write_error: # Only show errors that might matter to users if "Permission denied" in str(write_error) or "No space left" in str(write_error): print(f"Error: Could not save file {filename}") # Silently handle when no files are uploaded except Exception as e: # Only show critical errors to users if "Permission denied" in str(e) or "No space left" in str(e): print(f"Error: Could not access file system") def input(prompt=""): """Custom input function that works with PyScript by using the terminal interface""" import js # Show the prompt in terminal output print(prompt, end='', flush=True) # For now, use a simple prompt to get input # This shows the prompt in the terminal and gets input via browser prompt result = js.prompt(prompt) or "" # Show the user's input in the terminal for continuity print(result) return result async def execute_code(code): old_stdout = sys.stdout sys.stdout = captured_output = StringIO() result = "" error = "" plot_data = None try: exec_globals = {"__builtins__": __builtins__} # Override Python's input function with our custom one exec_globals["input"] = input try: import numpy as np exec_globals["np"] = np except: pass try: import pandas as pd exec_globals["pd"] = pd except: pass try: import matplotlib.pyplot as plt exec_globals["plt"] = plt except: pass # Setup uploaded files before executing code setup_uploaded_files() # File system is ready for use exec(code, exec_globals) result = captured_output.getvalue() # Capture matplotlib plots if 'matplotlib' in code or 'plt.' in code: try: import matplotlib.pyplot as plt if plt.get_fignums(): import base64 from io import BytesIO buf = BytesIO() plt.savefig(buf, format='png', dpi=100) buf.seek(0) plot_data = base64.b64encode(buf.getvalue()).decode('utf-8') plt.close('all') except: pass except Exception as e: error = str(e) finally: sys.stdout = old_stdout js.displayResults(result, error, plot_data) async def execute_terminal_command(command): global terminal_globals if not terminal_globals: terminal_globals = {"__builtins__": __builtins__} # Add custom terminal input function terminal_globals["terminal_input"] = terminal_input try: import numpy as np terminal_globals["np"] = np except: pass try: import pandas as pd terminal_globals["pd"] = pd except: pass try: import matplotlib.pyplot as plt terminal_globals["plt"] = plt except: pass # Setup uploaded files before executing terminal commands too setup_uploaded_files() old_stdout = sys.stdout sys.stdout = captured_output = StringIO() result = "" error = "" plot_data = None try: if command.strip() == 'help': result = "Available: import math, numpy as np, pandas as pd, matplotlib.pyplot as plt" elif command.strip() == 'vars()': user_vars = {k: v for k, v in terminal_globals.items() if not k.startswith('__')} result = f"Variables: {list(user_vars.keys())}" else: exec(command, terminal_globals) result = captured_output.getvalue() # Capture matplotlib plots from terminal if 'matplotlib' in command or 'plt.' in command: try: import matplotlib.pyplot as plt if plt.get_fignums(): import base64 from io import BytesIO buf = BytesIO() plt.savefig(buf, format='png', dpi=100) buf.seek(0) plot_data = base64.b64encode(buf.getvalue()).decode('utf-8') plt.close('all') except: pass except Exception as e: error = str(e) finally: sys.stdout = old_stdout js.displayResults(result, error, plot_data) js.window.executeCode = execute_code js.window.executeTerminalCommand = execute_terminal_command