Amazon S3 (Amazon Simple Storage Service) is the storage platform by Amazon Web Services (AWS) that provides an object storage with high availability, low latency and high durability. S3 can store any type of object and can serve as storage for internet applications, backups, disaster recovery, data archives, big data sets and multimedia.
Amazon S3 might be a bit more popular than Python Poetry. We know about 199 links to it since March 2021 and only 164 links to Python Poetry. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
To simplify the discussion we will talk about software packages: components in a packaged form produced by third parties. This includes not only components used by package managers like NPM or Poetry, but also operating system components including libraries and executable binaries, container images, and virtual machines, or tool extensions for development, build, and deployment tools. - Source: dev.to / about 2 hours ago
However, one problem appeared and was bothering me too much. I need to use Poetry for some projects at work, and everything Worked great while I was using it in bash, whoever, when I made the switch to Fish, all of the sudden poetry stopped working for me. - Source: dev.to / 7 days ago
If you’ve been managing Python projects long enough, you’ve probably dealt with a mess of tools: pip, pip-tools, poetry, virtualenv, conda, maybe even pdm. - Source: dev.to / 2 months ago
First, there was pip. Combined with a requirements.txt, it seemed like a great idea – a straightforward method to declare dependencies explicitly. Luckily, we quickly realized this method tends to spiral into chaos, particularly when developers use "tricks" like pip freeze to lock dependencies rigidly. Fortunately, the Python ecosystem has evolved, introducing modern solutions like Poetry and now uv, offering... - Source: dev.to / 3 months ago
Anyway, enough reminiscing about the past, this is not intended to be the ultimate guide on asynchronous programming, but a more pragmatic quick-start guide I wish I had back then. Assuming we are in a properly managed project (either through tools like poetry or uv), let’s start with a new module telegram.py for our telegram bot. Remember to add python-telegram-bot dependency to the project. - Source: dev.to / 3 months ago
To host the HTML resume on AWS, I turned to Amazon S3. S3 is an ideal service for hosting static websites, as it provides high availability, scalability, and security. I created a new S3 bucket, configured it to host a website, and uploaded my HTML resume files to this bucket. - Source: dev.to / 6 days ago
Takeaway: S3 is feature-rich and great for complex workflows. Cloud Storage is simpler and faster for global access. Explore S3 documentation. - Source: dev.to / 20 days ago
To address this, the team introduced a conditional frontend build mechanism. Using git diff with the three-dot notation, it detects whether a PR includes frontend changes compared to the main branch. If no changes are detected, the frontend build step is skipped, reusing a prebuilt version stored in AWS S3 and served via an internal Content Delivery Network (CDN). - Source: dev.to / about 1 month ago
In this article, we present an architecture that demonstrates how to collect application logs from Amazon Elastic Kubernetes Service (Amazon EKS) via Vector, store them in Amazon Simple Storage Service (Amazon S3) for long-term retention, and finally query these logs using AWS Glue and Amazon Athena. - Source: dev.to / about 2 months ago
Iceberg has quietly become the foundation of the modern data lakehouse. More and more engineering teams are adopting it to store and manage analytical data in cloud storage — like Amazon S3, Google Cloud Storage, or Azure Data Lake Storage — while freeing themselves from the limitations of closed systems. - Source: dev.to / 2 months ago
Conda - Binary package manager with support for environments.
AWS Lambda - Automatic, event-driven compute service
pip - The PyPA recommended tool for installing Python packages.
Google Cloud Storage - Google Cloud Storage offers developers and IT organizations durable and highly available object storage.
pipenv - Python Development Workflow for Humans. Contribute to pypa/pipenv development by creating an account on GitHub.
Amazon AWS - Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.