Bookmarks (2827)

Rapidly Troubleshoot Your Python Application in Real Time With Datadog APM Datadog’s Continuous Profiler analyzes code performance enabling you to identify the most resource-consuming parts in your application code in order to improve MTTR and enhance user experience. See which services or calls are contributing to overall latency and optimize your app performance → DATADOG sponsor

Implementing FastAPI Services: Abstraction and Separation of Concerns This article introduces an approach to structure FastAPI applications with multiple services in mind. The proposed structure decomposes the individual services into packages and modules, following principles of abstraction and separation of concerns. CAMILLO VISINI • Shared by Camillo Visini

Visual Intro to NumPy and Data Representation “In this post, we’ll look at some of the main ways to use NumPy and how it can represent different types of data (tables, images, text…etc) before we can serve them to machine learning models.” JAY ALAMMAR • Shared by Python Bytes FM

Develop Data Visualization Interfaces in Python With Dash Learn how to build a dashboard using Python and Dash. Dash is a framework for building data visualization interfaces. It helps data scientists build fully interactive web applications quickly. REAL PYTHON

Reinventing the Python Logo: Interview With a UI Designer UI designer Jessica Williamson redesigns the Python logo as a hobby project and receives 7000 upvotes on Reddit. Here’s an interview with her. CARLO OCCHIENA

Anaconda Is Not Free for Commercial Use (Anymore)? Anaconda’s CEO responds on the thread: “At this time, there is no prohibition on using Anaconda Individual Edition in a small-scale commercial setting like yours.” Related discussion on Twitter. REDDIT

Best IDE for Python “Right now I am using the standard Python IDLE. I am new to Python and want something better. I have seen a few but they all look too complicated.” REDDIT

What Is Data Engineering and Researching 10 Million Jupyter Notebooks “Are you familiar with the role data engineers play in the modern landscape of data science and Python? Data engineering is a sub-discipline that focuses on the transportation, transformation, and storage of data. This week on the show, David Amos is back, and he’s brought another batch of PyCoder’s Weekly articles and projects.” REAL...

Indexing and Selecting in Pandas by Callable “In Pandas, you can use callables where indexers are accepted. It turns out that can be handy for a pretty common use case.” MATT WRIGHT

Understand Django: Serving Static Files Static files are critical to apps, but have little to do with Python code. See what they are and what they do. MATT LAYMAN • Shared by Matt Layman

float vs decimal in Python Learn the differences between floats and decimals in Python, common issues, and when to use each. STEVEN PATE • Shared by Steven Pate

The Easiest Way to Rename a Column in Pandas Two easy recipes for renaming column(s) in a Pandas DataFrame. BEN COOK

Event-Driven: Architecture Lessons Learned in Building a Poker Platform With Event Sourcing MAX MCCREA • Shared by Max