Software Engineering

Some important formatting rules available in this style guide:

Use four spaces for code indentation

Limit all lines to a maximum of 79 characters

Avoid extraneous whitespace in certain situations (i.e., inside brackets, between trailing comma and close parenthesis, ...)

But remember: The formatting rules should make the code more readable. Sometimes,... See more

How to Write Clean Code in Python

For high-priority tasks , like designing the main user interface content or creating content for a major product launch, you might spend 10–20 hours a week. These tasks need detailed planning and close collaboration with your team.

Medium-priority tasks , such as updating help center articles or creating content for minor feature updates, might take... See more

It’s time to upgrade from “hard-working” to “highly efficient”

Tornado is a Python web framework and asynchronous networking library designed for handling long-lived network connections. It is built to be non-blocking and uses an event loop to manage all operations. While Tornado itself does not rely on a thread pool for its core operations, it provides interfaces for integrating with thread pools (e.g.,

Saverio Mazza • FastAPI: Thread Pool and Event Loop

Terraform Providers: Terraform is primarily used for defining the infrastructure resources. Its strength lies in its vast collection of providers that offer standardized ways to interact with various cloud services (AWS, Azure, GCP, etc.) and on-premises infrastructure. These providers are essentially plugins that understand the specific APIs and

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Why is Continuous Delivery for ML/AI hard(er)?

Since the challenge is not new and many valid solutions exist targeting traditional software projects, is there a reason to treat ML/AI systems any differently? Consider these three core challenges that are endemic in ML, AI, and data projects:

Development and debugging cycles are more tedious due to

How To Organize Continuous Delivery of ML/AI Systems: a 10-Stage Maturity Model | Outerbounds

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A single field tells us in plain language what the status of the object is by using enums instead of booleans. Another upside is the extensibility and future-proofing that this technique gives us. If we go back to our previous example of adding a “pause” mechanic,... See more

Common Design Patterns at Stripe

Requirements (or constraints) : What does success look like? What can we not do?

Methodology : How will we use data and code to achieve success?

Implementation : What infrastructure is needed in production?

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But now we are only logging that error message. It would be better to define a custom Exception that we can then handle in our API in order to return a specific error code to the user:

import pandas as pd

import logging

class DataLoadError(Exception):

"""Exception raised when the data cannot be loaded."""

def __init__(self, message="Data could not be... See more

How to Write Clean Code in Python

And then, in the primary function of your API:

try:
    df = load_data('path/to/data.csv')
    # Further processing and model prediction
except DataLoadError as e:
    # Return a response to the user with the error message
    # For example: return Response({"error": str(e)}, status=400)