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Python Web Conf 2023 : Day 4 Recap

The Day Four presentations of the 5th annual Python Web Conf are now up on LoudSwarm for re-watch.

KEYNOTE: Python and the Future of Fusion Energy by DR. LISA REUSCH @ SHINE TECHNOLOGIES Key points: Cool introduction to fusion science; Python is a standard tool for scientific computations in the fusion community; Data aggregation helps address the limitations of the harsh fusion environment; Lots of opportunities for experts in big data, ML and data driven processing technologies.

KEYNOTE: No Holds Barred Web Framework Battle by DANIEL ROY GREENFELD @ KRAKEN TECHNOLOGIES Key points: Pros and cons of the popular Python frameworks Django/FastAPI/Flask; It’s possible to build anything from small to big systems with any of them; Discussion on developer experience,  speed metrics, databases for all three frameworks.

TUTORIAL: We've "REST"ed long enough -- let's have an API adventure! by W. IAN DOUGLAS @ POSTMAN Key points: REST is easy but limited; today's apps are event-driven and interacts with various servers; The leading options (GraphQL Subscriptions, websockets, and server-sent events) come with limitations; Enter gRPC: built with performance in mind + can be synchronous or asynchronous; When choosing which style of APIs to create, consider performance as well as your team’s capabilities.

Finding and fixing an N+1 problem in the Django docs by ANTON PIRKER @ SENTRY Key points: It’s easy to accidentally create an N+1 problem, especially when using an ORM; There are easy fixes in Django and SQLAlchemy; You don’t need to worry about an N+1 query that is not creating a problem; Django Debug Toolbar, nplusone, database-specific tools and monitoring tools like Sentry can be used to help find N+1 problems.

Proactive cluster autoscaling in Kubernetes by DANIELE POLENCIC @ LEARNK8S Key points: Elastic scaling nodes in Kubernetes can take several minutes on default settings; Scheduler plays Tetris perfecting the sizing of nodes and pods; For scaling, configure pod priorities to deploy and pre-warm a new node; Overprovision for occasional traffic spikes.

A fresh take on monorepos in Python by DAVID VUJIC @ BIOLIT AB Key points: A monorepo is a place you put all of your code for one or several apps; Polylith combines libraries and bricks (bases + components) to build projects; Poetry helps determine how everything is set up for each project, and when releases need to happen.

Software Best Practices for Data Pipelines: Form Energy's Multi-Day Storage R&D Pipeline by MARK FICKETT @ FORM ENERGY Key points: Rapid feedback from pipelines is necessary for rapid innovation; Use structured events rather than logs; Example layering OpenTelemetry, HoneyComb, fluentbit and Grafana; Achieve near-real time pipelines with near-real time system feedback; Identify trends over arbitrary time-frames for telemetry data.

Optimizing Django deployments with a Continuous Observability Strategy by CHAD CARLSON @ PLATFORM.SH Key points: Fixing issues in production is a lot more expensive than in development; Blackfire fits in Platform.sh to form a Continuous Observability strategy that optimizes the monitoring, profiling and testing experience; Demo of Blackfire debugging a real performance issue on Django app.

Building & testing Cloud applications locally using LocalStack by HARSH BARDHAN MISHRA @ LOCALSTACK Key points:  LocalStack is a core AWS cloud emulator that ships as a single docker container; LocalStack comes with a web UI with a simplified AWS console for 25+ services, and stack insights to analyze API usage; LocalStack can be used with tools like Terraform; LocalStack is highly configurable, with sensible defaults.

How to be More Influential in a World that’s Tired of Feeling Manipulated by Technology  by ERIN FUSARO @ MARCO POLO Key points: People hate networking, largely because it is transactional; Typical social media has made us feel more isolated; In the brain, the feeling of exclusion is registered the same way as physical pain; To build meaningful connections, focus on quality over quantity; Build trust by showing vulnerability and being supportive.

Cloud Native Apache Pulsar Development 202 with Python by TIMOTHY SPANN @ CLOUDERA Key points: Apache Pulsar is a messaging and streaming platform with geo-replication, scaling, multi-tenancy, and queuing; Example setting up Python code to consume Pulsar service for turning live event data into live NLP results and sentiment analysis; Example for real-time NLP analytics to gain insight on how and when to use various streaming protocols.