Python fwdays'20 online conference
2020-05-16..2020-05-23
-- online --
who it's for
python developers, backend developers, devops engineers, site reliability engineers, data engineers, data scientists, platform engineers
topics
Elasticsearch indexing with python; elasticsearch-dsl library usage; BPF tracing with bcc python; ASGI protocol internals; Kopf Kubernetes operator development; kafka-python and confluent-kafka recipes; aiokafka and Faust streaming; immutable collections and immutables Map; Numba compiled kernels for speed; Dask distributed computation at scale; Python 3.8/3.9 language features
| title | author | length |
|---|---|---|
| Integrating and Testing Elasticsearch with Nontrivial Queries | Vladimir Obrizan | 39m |
Covers how to set up testable connections between Python applications and Elasticsearch, including building non-trivial queries (e.g., queries that handle… | ||
| How to Debug Anything | Vsevolod Solovyov | 34m |
Practical techniques for debugging any Python problem in production, including issues like memory leaks, processes hanging, or services failing under load. The… | ||
| Dive into BPF performance tools using python | Andrey Soldatenko | 47m |
Demonstrates using the bcc Python frontend to load and run BPF programs on Ubuntu 18.04 (as root) with live coding examples. Covers concrete tools: execsnoop… | ||
| ASGI in depth | Denis Sergienko | 47m |
Explains ASGI internals: the scope/receive/send callable signature, concrete event names like http.response.start and http.response.body with the more_body… | ||
| A very short introduction to Kubernetes Operators development using Kopf | Ivan Kolodyazhnyy | 35m |
Introduces building Kubernetes Operators in Python using the Kopf framework to manage real workloads via a CustomResourceDefinition, showing concrete code for… | ||
| Using Kafka in Your Python Applications | Aleksandr Tarasenko | 40m |
The talk explains what Apache Kafka is and how Kafka clusters work, then compares Kafka to alternative systems and lists use cases where Kafka excels. It shows… | ||
| Designing With Immutability | Łukasz Langa | 32m |
Immutable collections enable concrete benefits: safe sharing, cheap caching, thread safety, and correct dictionary/set behavior rather than vague design… | ||
| Python for Speed, Scale, and Science | Travis E. Oliphant | 45m |
Claims that Python scales and speeds using real tools not promises: NumPy and SciPy turn Python lists into byte blobs for fast array ops, Anaconda reached ~20… | ||
| Python 2020: The State of the Language | Carol Willing | 33m |
Python 3.8 is released and Python 3.9 is in beta with concrete changes: walrus operator and positional-only args (3.8), a new PEG parser replacing the LL(1)… | ||
| nothing matches | ||