Apache ZooKeeper
Pandas
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Apache ZooKeeper | Pandas | |
---|---|---|
36 | 393 | |
11,919 | 41,923 | |
0.8% | 1.4% | |
8.3 | 10.0 | |
6 days ago | 1 day ago | |
Java | Python | |
Apache License 2.0 | BSD 3-clause "New" or "Revised" 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.
Apache ZooKeeper
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On Implementation of Distributed Protocols
Apache ZooKeeper — a distributed coordination, synchronization, and configuration service (written in Java);
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Easy Guide to Integrating Kafka: Practical Solutions for Managing Blob Data
To use Kafka, we also need to deploy a service that keeps configuration informations such as Zookeeper.
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Fault Tolerance in Distributed Systems: Strategies and Case Studies
Failure Detection and Recovery It’s not enough to have backup systems. It’s also crucial to detect failures quickly. Modern systems employ monitoring tools and rely on distributed coordination systems such as Zookeeper or etcd to identify faults in real-time: once detected, recovery mechanisms are triggered to restore the service.
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Reddit System Design/Architecture
zookeeper: is (was?) used for secrets management. it was also used as a basic health check, but has been since been replaced.
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Analysing Github Stars - Extracting and analyzing data from Github using Apache NiFi®, Apache Kafka® and Apache Druid®
You can install Kafka from https://kafka.apache.org/quickstart. Because Druid and Kafka both use Apache Zookeeper, I opted to use the Zookeeper deployment that comes with Druid, so didn’t start it with Kafka. Once running, I created two topics for me to post the data into, and for Druid to ingest from:
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Use AWS CloudFormation to create ShardingSphere HA clusters
Please note that we use Zookeeper as the Governance Center.
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How to choose the right API Gateway
Next, review deployment complexity such as DB-less versus database-backed deployments. For example, Kong does require running Cassandra or Postgres. Apigee requires Cassandra, Zookeeper, and Postgres to run, while other solutions like Express Gateway and Tyk only require Redis. Apache APISIX uses etcd as its data store, it stores and manages routing-related and plugin-related configurations in etcd in the Data Plane.
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In One Minute : Hadoop
ZooKeeper, a system for coordinating distributed nodes, similar to Google's Chubby
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To study Apache Kafka Architecture in details, and how to install, deploy configure Apache kafka.
[Unit] Description=Apache Zookeeper server Documentation=http://zookeeper.apache.org Requires=network.target remote-fs.target After=network.target remote-fs.target [Service] Type=simple ExecStart=/usr/local/kafka/bin/zookeeper-server-start.sh /usr/local/kafka/config/zookeeper.properties ExecStop=/usr/local/kafka/bin/zookeeper-server-stop.sh Restart=on-abnormal [Install] WantedBy=multi-user.target
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ElasticJob 3.0.2 is released including failover optimization, scheduling stability, and Java 19 compatibility
ElasticJob achieves distributed coordination through ZooKeeper. In practical scenarios, users may start multiple jobs in the same project simultaneously, all of which use the same Apache Curator client. There are certain risks due to the nature of ZooKeeper and the callback method of Curator in a single event thread.
Pandas
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Deploying a Serverless Dash App with AWS SAM and Lambda
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail. Instead, we'll focus on what's necessary to make it run serverless.
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Help Us Build Our Roadmap – Pydantic
there is pull request to integrate in both pydantic extra types and into pandas cose [1]
[1]: https://github.com/pandas-dev/pandas/issues/53999
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Stuff I Learned during Hanukkah of Data 2023
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts.
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Introducing Flama for Robust Machine Learning APIs
pandas: A library for data analysis in Python
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Exploring Open-Source Alternatives to Landing AI for Robust MLOps
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks.
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Mastering Pandas read_csv() with Examples - A Tutorial by Codes With Pankaj
Pandas, a powerful data manipulation library in Python, has become an essential tool for data scientists and analysts. One of its key functions is read_csv(), which allows users to read data from CSV (Comma-Separated Values) files into a Pandas DataFrame. In this tutorial, brought to you by CodesWithPankaj.com, we will explore the intricacies of read_csv() with clear examples to help you harness its full potential.
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What Would Go in Your Dream Documentation Solution?
So, what I'd like to do is write a documentation package in Python to recreate what I've lost. I plan to build upon the fantastic python-docx and docxtpl packages, and I'll probably rely on pandas from much of the tabular stuff. Here are the features I intend to include:
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How do people know when to use what programming language?
Weirdly most of my time spent with data analysis was in the C layers in pandas.
- Read files from s3 using Pandas/s3fs or AWS Data Wrangler?
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10 Github repositories to achieve Python mastery
Explore here.
What are some alternatives?
Hazelcast - Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.
Cubes - [NOT MAINTAINED] Light-weight Python OLAP framework for multi-dimensional data analysis
kubernetes - Production-Grade Container Scheduling and Management
tensorflow - An Open Source Machine Learning Framework for Everyone
Zuul - Zuul is a gateway service that provides dynamic routing, monitoring, resiliency, security, and more.
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
JGroups - The JGroups project
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Akka - Build highly concurrent, distributed, and resilient message-driven applications on the JVM
Keras - Deep Learning for humans
etcd - Distributed reliable key-value store for the most critical data of a distributed system
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration