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Python Scripting

CyxWiz Engine includes a powerful embedded Python scripting system for interactive data analysis, model building, and training automation.

Overview

The scripting system provides:

  • Embedded Python Interpreter: Full Python 3.x environment
  • Notebook-Style Editor: Cell-based .cyx script format
  • Interactive Console: REPL for quick commands
  • Plot Integration: Matplotlib renders inline
  • Debugging: Breakpoints and variable inspection
  • MATLAB Compatibility: Familiar function aliases

Quick Start

Console (Interactive)

Press Ctrl+` to open the Console:

>>> import pycyxwiz as cx
>>> t = cx.Tensor.random([3, 3])
>>> print(t.shape())
[3, 3]
Script Editor

Press Ctrl+N to create a new script:

%%code
import pycyxwiz as cx
import numpy as np

# Create data
data = np.random.randn(100, 10)
tensor = cx.Tensor.from_numpy(data)
print("Shape:", tensor.shape())

Cell-Based Notebooks

Write code in discrete cells with different types:

%%code
# Cell 1: Setup
import pycyxwiz as cx

%%code
# Cell 2: Processing
result = cx.linalg.svd([[1, 2], [3, 4]])
print(result)

%%markdown
## Documentation
This cell contains markdown text.

Inline Plotting

Matplotlib figures render directly in the editor:

%%code
import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(0, 10, 100)
plt.plot(x, np.sin(x))
plt.title('Sine Wave')
plt.show()  # Renders below the cell

Available Modules

Built-in Modules
pycyxwizCyxWiz backend bindings
numpyNumerical computing
matplotlibPlotting and visualization
pandasData manipulation
scipyScientific computing
pycyxwiz Submodules
import pycyxwiz as cx

cx.linalg     # Linear algebra
cx.signal     # Signal processing
cx.stats      # Statistics/clustering
cx.timeseries # Time series analysis

Keyboard Shortcuts

ActionShortcut
New ScriptCtrl+N
SaveCtrl+S
Run AllF5
Run CellShift+Enter
Stop ExecutionCtrl+C
Toggle ConsoleCtrl+`
Insert Cell BelowCtrl+Enter
Delete CellCtrl+Shift+D

Script Execution States

StateDisplayMeaning
Idle[ ]Not executed
Queued[*]Waiting to run
Running[*]Currently executing
Success[1]Completed (shows execution count)
Error[!]Failed with exception

File Types

.cyx
CyxWiz notebook script with cell-based execution and markdown support.
.py
Standard Python script for traditional sequential execution.

Best Practices

%%code
# Cell 1: Imports
import pycyxwiz as cx
import numpy as np

%%code
# Cell 2: Configuration
CONFIG = {
    'learning_rate': 0.001,
    'epochs': 100
}

%%code
# Cell 3: Data Loading
data = load_data()

%%markdown
# Experiment Notes
Document your experiments with markdown cells.

%%code
# Cell 4: Training
train(data, CONFIG)