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Python Code Samples

Copy-ready Python snippets by topic and difficulty — short, focused, and runnable in the browser editor.

27 matches
ML engineering pipelines medium

Train Logistic Regression From Scratch in Python

Trains a binary logistic regression model using gradient descent on mock data, printing learned weights and probabilities.

logistic-regression machine-learning gradient-descent
Python
import numpy as np

# Mock data: 2 features, binary classification
X = np.array([[1, 2], [2, 3], [3, 4], [4, 5], [5, 6]])
y = np.array([0, 0, 1, 1, 1])

# Add bias term (column of ones)
X_b = np.c_[np.ones((X.shape[0], 1)), X]

# Initialize parameters
theta = np.zeros(X_b.shape[1])

# Hyperparameters
learning_rate = 0…
14 0 Open
A/B testing & experimentation easy

How to Build a Simple Binary Protocol Parser Mock in Python

Defines a mock binary protocol with field definitions, encoding, and decoding to simulate network packet parsing for A/B testing and experiment setup.

binary protocol mock
Python
class SimpleProtocol:
    def __init__(self, name, version):
        self.name = name
        self.version = version
        self.fields = []

    def add_field(self, field_name, field_size):
        self.fields.append((field_name, field_size))

    def parse(self, data):
        if len(data) != sum(size for _, size i…
12 0 Open
A/B testing & experimentation easy

How to Do Random Assignment in Python for A/B Tests

Assign each item to a binary group (0 or 1) with uniform probability using a small reusable function, optionally weighted, for A/B testing mocks.

random ab-testing assignment
Python
import random

def random_assignment_uniform_mock(items, weights=None):
    """Assign each item to a group (0 or 1) with uniform probability."""
    if weights is None:
        # Default: each item independently gets 0 or 1 with 50% probability
        return [random.randint(0, 1) for _ in items]
    # Optional weight…
13 0 Open

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PythonSkillset code samples are short, focused examples organised by topic and difficulty. Every snippet is server-rendered HTML — readable by search engines and easy to copy. Open any sample, read the notes, copy the code, then press Try in editor to run it in the browser with Pyodide.

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  3. Run it in the IDE, tweak values, then take a related quiz or tutorial lesson

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Samples are quick reference — one concept per page. For step-by-step teaching, use our Python tutorials. To test yourself, try quizzes or coding challenges. Clean up style with the Python formatter.