~pycoders | Bookmarks (445)

Fastest Way to Read Excel in Python It’s not uncommon to find yourself reading Excel in Python. This article compares several ways to read Excel from Python and how they perform. HAKI BENITA

Bias, Toxicity, and Truthfulness in LLMs With Python How can you measure the quality of a large language model? What tools can measure bias, toxicity, and truthfulness levels in a model using Python? This week on the show, Jodie Burchell, developer advocate for data science at JetBrains, returns to discuss techniques and tools for evaluating LLMs With Python. REAL PYTHON podcast

Postgres vs. DynamoDB: Which Database to Choose This article presents various aspects you need to consider when choosing a database for your project - querying, performance, ORMs, migrations, etc. It shows how things are approached differently for Postgres vs. DynamoDB and includes examples in Python. JAN GIACOMELLI • Shared by Jan Giacomelli

Building with Temporal Cloud Webinar Series Hear from our technical team on how we’ve built Temporal Cloud to deliver world-class latency, performance, and availability for the smallest and largest workloads. Whether you’re using Temporal Cloud or self-host, this series will be full of insights into how to optimize your Temporal Service → TEMPORAL sponsor

Python App Development: In-Depth Guide for Product Owners “As with every technology stack, Python has its advantages and limitations. The key to success is to use Python at the right time and in the right place.” This guide talks about what a product owner needs to know to take on a Python project. PAVLO PYLYPENKO • Shared by Alina

HTTP Requests With Python’s urllib.request In this video course, you’ll explore how to make HTTP requests using Python’s handy built-in module, urllib.request. You’ll try out examples and go over common errors, all while learning more about HTTP requests and Python in general. REAL PYTHON course

Beware of Misleading GPU vs CPU Benchmarks Nvidia has created GPU-based replacements for NumPy and other tools and promises significant speed-ups, but the comparison may not be accurate. Read on to learn if GPU replacements for CPU-based libraries are really that much faster. ITAMAR TURNER-TRAURING

Django Migration Files: Automatic Clean-Up Your Django migrations are piling up in your repo? You want to clean them up without a hassle? Check out this new package django-migration-zero that helps make migration management a piece of cake! RONNY VEDRILLA • Shared by Sarah Boyce

Understanding NumPy’s ndarray To understand NumPy, you need to understand the ndarray type. This article starts with Python’s native lists and shows you when you need to move to NumPy’s ndarray data type. STEPHEN GRUPPETTA • Shared by Stephen Gruppetta

Type Information for Faster Python C Extensions PyPy is an alternative implementation of Python, and its C API compatibility layer has some performance issues. This article describes on-going work to improve its performance. MAX BERNSTEIN

Elevate Your Web Development with MongoDB’s Full Stack FastAPI App Generator Get ready to elevate your web development process with the newly released Full Stack FastAPI App Generator by MongoDB, offering a simplified setup process for building modern full-stack web applications with FastAPI and MongoDB → MONGODB sponsor

Add Logging and Notification Messages to Flask Web Projects After you implement the main functionality of a web project, it’s good to understand how your users interact with your app and where they may run into errors. In this tutorial, you’ll enhance your Flask project by creating error pages and logging messages. REAL PYTHON

Python 3.13 Gets a JIT This article does a deeper dive into the JIT recently added to the CPython 3.13 pre-release. This JIT is a bit different, it is called a copy-and-patch JIT, and the post explains what that means. ANTHONY SHAW

Build Invincible Apps With Temporal’s Python SDK Get an introduction to Temporal’s Python SDK by walking through our easy, free tutorials. Learn how to build Temporal applications using Python, including building a data pipeline Workflow and a subscription Workflow. Get started here → TEMPORAL sponsor

Learn From 2023’s Most Popular Python Tutorials and Courses Revisit your favorite Real Python tutorials and video courses from 2023. Explore various topics, from Python basics to web development, machine learning, and effective coding environments. It’s been a busy year of learning, and there’s something for everyone to discover and build upon in 2024. REAL PYTHON

Python’s Array: Working With Numeric Data Efficiently In this tutorial, you’ll dive deep into working with numeric arrays in Python, an efficient tool for handling binary data. Along the way, you’ll explore low-level data types exposed by the array module, emulate custom types, and even pass a Python array to C for high-performance processing. REAL PYTHON

Data Deduplication in Python with RecordLinkage Duplicate detection is a critical process in data preprocessing, especially when dealing with large datasets. In this tutorial, you will explore data deduplication using Python’s RecordLinkage package, paired with Pandas for data manipulation. PATRYK SZLAGOWSKI • Shared by Izabela Pawlik

The Curious Case of Pydantic and the 1970s Timestamps When parsing Unix timestamps, Pydantic guesses whether to interpret them in seconds or milliseconds. While this is certainly convenient and works most of the time, it can drastically (and silently) distort timestamps from a few decades ago. ARIE BOVENBERG • Shared by Arie Bovenberg

Comparing Coroutines, by Example, in Kotlin and Python This series of 3 articles compares Python and Kotlin, with a focus on coroutines and generators. It compares, through examples, how coroutines are used in both languages, to read files and perform network requests. MEDIUM.COM • Shared by Carmen Alvarez

Exploring Python in Excel Are you interested in using your Python skills within Excel? Would you like to share a data science project or visualization as a single Office file? This week on the show, we speak with Principal Architect John Lam and Sr. Cloud Developer Advocate Sarah Kaiser from Microsoft about Python in Excel. REAL PYTHON podcast