Looking for code you can copy, paste, and adapt? You’re in the right place. This page gathers the most useful coding examples from our blog, so you can solve a problem today instead of searching forever.
Every example is short, concrete, and ready to run. Whether you want to add a simple AI feature, clean up a Python script, or squash a tricky bug, you’ll find a snippet that fits.
Python still dominates AI work because it’s easy to read and has a massive library ecosystem. In our "Python Tricks: Practical Tips to Become a Better Python Developer in 2025" post, we show how to add type hints, use dataclasses
, and profile code with cProfile
. Copy the snippet below to see type hints in action:
def add_numbers(a: int, b: int) -> int:
return a + b
print(add_numbers(3, 5)) # 8
If you want to call an OpenAI model without dealing with the API details, try the one‑liner in "Coding for AI: A Practical Guide to Build, Ship, and Scale AI Features in 2025":
response = openai.ChatCompletion.create(
model="gpt-4",
messages=[{"role": "user", "content": "Explain tokenizers"}]
).choices[0].message.content
print(response)
Run it, tweak the prompt, and you have a basic chatbot component in minutes.
Debugging takes time, but a few habits cut the effort in half. In "Code Debugging: Master the Skill Every Developer Needs" we recommend turning on breakpoint()
instead of printing everywhere. Here’s a quick demo:
def calculate_total(items):
total = 0
for item in items:
breakpoint() # Execution stops here, inspect variables
total += item['price'] * item['qty']
return total
When the debugger stops, you can check item
and total
without adding print()
statements.
Another productivity gem comes from "Programming Tricks: Ultimate Guide for Aspiring Developers to Code Faster and Smarter". Use the Ctrl+P
shortcut in most IDEs to jump directly to a file. Combine it with a good folder naming convention and you’ll spend less time hunting files.
Because many of our readers work on AI projects, we also share a common error‑handling pattern for model inference:
try:
result = model.predict(data)
except Exception as e:
logger.error(f"Model failed: {e}")
result = fallback_value
This tiny block catches time‑outs, missing files, or mis‑shaped inputs, keeping your service up.
All the examples above are just a taste. Browse the full list of posts under the "coding examples" tag to discover more snippets for web scraping, data cleaning, and even interview prep. Each article ends with a ready‑to‑run code block, so you can copy it straight into your project.
Ready to level up? Pick a snippet, tweak a variable, and see the result instantly. The more you experiment, the faster you’ll turn these examples into your own tools.
A clear, no-fluff roadmap to go from zero to production code. Step-by-step plan, real examples, checklists, and FAQs tailored for 2025 learners.