tempo
100-pandas-puzzles
| tempo | 100-pandas-puzzles | |
|---|---|---|
| 7 | 6 | |
| 3,712 | 2,328 | |
| 2.2% | - | |
| 9.7 | 0.0 | |
| 3 days ago | 7 days ago | |
| Go | Jupyter Notebook | |
| GNU Affero General Public License v3.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
tempo
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OpenTelemetry in 2023
Grafana Tempo also switched from Protobuf storage format to Apache Parquet last year. It's fully open source, and the proposal is here: https://github.com/grafana/tempo/blob/main/docs/design-propo...
disclosure: I work for Grafana!
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Monitoring and Testing Cloud Native APIs with Grafana
By combining Grafana Tempo with Tracetest, you can create a robust solution for monitoring and testing APIs with distributed tracing.
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Introducing Tempo: low latency, cross-platform, end-to-end typesafe APIs
Last point: There's already a major open source project in the backend space called Tempo. You may want to reconsider the name.
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Waffles, Fries, Beer and Developers; Notes from FOSDEM 2023
I started the day with some Rust and spent the rest of the day in the Monitoring and Observability DevRoom. Most of the talks I attended were about OpenTelemetry and were very Grafana Labs-heavy. I knew Grafana and, to a less extent, Loki, and I had never seen Tempo (distributed tracing) and Phlare (profiling), and Mimir (backend for metrics, more backend-y than Prometheus?).
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Thoughts on Opentelemetry?
Grafana Tempo yes. Integrates seamlessly with Grafana (the dashboarding)
100-pandas-puzzles
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What are the best Python libraries to learn for beginners?
#1: Welcome to df[pandas]! #2: 100 data puzzles for pandas, ranging from short and simple to super tricky | 3 comments #3: Happy Halloween, Pandas! đđ€ | 0 comments
- 100 data puzzles for pandas, ranging from short and simple to super tricky
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pandas practice resources?
I remember someone sharing this with me earlier: https://github.com/ajcr/100-pandas-puzzles Let me know if you think it's comprehensive and a good resource.
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how important are learning the data manipulation libraries?
If you want to get better with pandas specifically you could work through the 100 pandas puzzles repo in your spare time, https://github.com/ajcr/100-pandas-puzzles
- Can anyone recommend resources to prepare for Pandas and Numpy interview questions?
- Is there anything AoC-like for Machine Learning or Data Science?
What are some alternatives?
jaeger - CNCF Jaeger, a Distributed Tracing Platform
numpy-100 - 100 numpy exercises (with solutions)
blog - SZĂKELYDATA | ErdĂ©ly, SzĂ©kelyföld Ă©s a nagyvilĂĄg a Big Data korszakĂĄban
tempo - API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation
jaeger-client-go - đ This library is DEPRECATED!
pandas_exercises - Practice your pandas skills!
mimir - Grafana Mimir provides horizontally scalable, highly available, multi-tenant, long-term storage for Prometheus.
idx2numpy_array - Convert data in IDX format in MNIST Dataset to Numpy Array using Python
SwiftyTimer - Swifty API for NSTimer
RasgoQL - Write python locally, execute SQL in your data warehouse
tempo - đ„ Don't miss a beat. Real-time, end-to-end typesafe APIs.
pyjanitor - Clean APIs for data cleaning. Python implementation of R package Janitor