- 7
- 2 163
Streaming Python
Registrace 16. 11. 2022
Streaming Python is a channel dedicated to data processing with Python. Our channel is designed for data enthusiasts, developers, and anyone interested in learning the art of data streams in a practical and effective manner.
Our content focuses on demonstrating how to effectively use the powerful tools and libraries available in Python for data processing. From data cleaning and pre-processing, to advanced data analysis and visualization, our tutorials are easy to follow and provide hands-on examples to help you apply what you've learned.
In addition to tutorials, we also share insights and best practices on how to scale and optimize your data processing pipelines, making sure you can handle large datasets with ease. Whether you're a seasoned data scientist or just starting out, Streaming Python has something for you.
So if you're ready to take your data processing skills to the next level, be sure to hit the subscribe button and join our community of Python enthusiasts today!
Our content focuses on demonstrating how to effectively use the powerful tools and libraries available in Python for data processing. From data cleaning and pre-processing, to advanced data analysis and visualization, our tutorials are easy to follow and provide hands-on examples to help you apply what you've learned.
In addition to tutorials, we also share insights and best practices on how to scale and optimize your data processing pipelines, making sure you can handle large datasets with ease. Whether you're a seasoned data scientist or just starting out, Streaming Python has something for you.
So if you're ready to take your data processing skills to the next level, be sure to hit the subscribe button and join our community of Python enthusiasts today!
Workshop: Building Real-Time RAG for Financial Data & News with Bytewax, Microsoft & Unstructured
You'll Learn:
- How to set up RAG pipelines incorporating real-time analytics.
- Practical integration steps for Bytewax, Azure AI, and Unstructured tools.
- Case studies using structured and unstructured data, including stock prices and news.
Repository: github.com/bytewax/real-time-rag-workshop
More details can be found in our blog: bytewax.io/blog/building-real-time-rag-financial-data-and-news
Instructors:
* Zander Matheson, Founder & CEO @ Bytewax
* Laura Funderburk, Senior developer advocate @ Bytewax
* Shagun Sharma, Data Scientist @ Microsoft via TCS
* Nina Lopatina, Staff Developer Relations Engineer @ Unstructured
P.S. Got a question or need help? Join us on Slack and tap into the collective wisdom of the Bytewax community. We're all here to help each other grow.
czcams.com/users/redirect?event=video_description&redir_token=QUFFLUhqbjlsSU9BZ1dqcEJBMVdraG9rVzF0MW1iUjNJQXxBQ3Jtc0ttQ0NqOXctTURIcDFxUDVfYnAtWEdDWlhyY1NoT05hNHA5S01WZUEtLVROZnVFRGhpU0lIbU5HSUFKUEF6NEpXS056a3JlcDN3aVprZlg4UXBfOVFHQVIwa1dHQUVKTHQ3R2hOSFBURUFzamZuNG1PZw&q=https%3A%2F%2Fjoin.slack.com%2Ft%2Fbytewaxcommunity%2Fshared_invite%2Fzt-1lhq9bxbr-T3CXxR_9RIUGb4qcBK26Qw&v=VWB6D-Rhj5g
- How to set up RAG pipelines incorporating real-time analytics.
- Practical integration steps for Bytewax, Azure AI, and Unstructured tools.
- Case studies using structured and unstructured data, including stock prices and news.
Repository: github.com/bytewax/real-time-rag-workshop
More details can be found in our blog: bytewax.io/blog/building-real-time-rag-financial-data-and-news
Instructors:
* Zander Matheson, Founder & CEO @ Bytewax
* Laura Funderburk, Senior developer advocate @ Bytewax
* Shagun Sharma, Data Scientist @ Microsoft via TCS
* Nina Lopatina, Staff Developer Relations Engineer @ Unstructured
P.S. Got a question or need help? Join us on Slack and tap into the collective wisdom of the Bytewax community. We're all here to help each other grow.
czcams.com/users/redirect?event=video_description&redir_token=QUFFLUhqbjlsSU9BZ1dqcEJBMVdraG9rVzF0MW1iUjNJQXxBQ3Jtc0ttQ0NqOXctTURIcDFxUDVfYnAtWEdDWlhyY1NoT05hNHA5S01WZUEtLVROZnVFRGhpU0lIbU5HSUFKUEF6NEpXS056a3JlcDN3aVprZlg4UXBfOVFHQVIwa1dHQUVKTHQ3R2hOSFBURUFzamZuNG1PZw&q=https%3A%2F%2Fjoin.slack.com%2Ft%2Fbytewaxcommunity%2Fshared_invite%2Fzt-1lhq9bxbr-T3CXxR_9RIUGb4qcBK26Qw&v=VWB6D-Rhj5g
zhlédnutí: 259
Video
Streaming Dataframes with Bytewax and Pandas by Zander Matheson
zhlédnutí 134Před 2 měsíci
Join Zander Matheson www.linkedin.com/in/alexandermatheson/, CEO of Bytewax (bytewax.io/ ), for a detailed live coding session on processing real-time data streams using Bytewax and Pandas (pandas.pydata.org/ ). This tutorial builds on our recent streaming Numpy guide (bytewax.io/blog/real-time-stock-prices-analyze-with-numpy) and shows how to transform Yahoo Finance (finance.yahoo.com/) WebSoc...
Workshop: Cooking up real-time 🍕 order analytics with secret sauces: Bytewax, Pinot & Streamlit
zhlédnutí 80Před 3 měsíci
You'll learn how to: - Build a streaming pipeline to join data from multiple sources using 🐝 Bytewax. - Analyze and aggregate the data to return live metrics using 🍷 Apache Pinot. - Build a real-time dashboard to monitor the metrics with 🎈 Streamlit. All code is here: github.com/startreedata/pizza-shop-demo More details you can find in our blog: bytewax.io/blog/real-time-pizza Instructors: * Za...
Stream processing purely in Python - Bytewax
zhlédnutí 453Před 9 měsíci
Open source framework and distributed stream processing engine. Build streaming data pipelines and real-time apps with everything you need: recovery, scalability, windowing, aggregations, and connectors. More at bytewax.io
Interactive dashboards to detect data anomalies in real time - Zander Matheson, CEO, Bytewax
zhlédnutí 512Před 11 měsíci
Join Zander for a technical exploration of crafting interactive dashboards that employ online machine learning algorithms for real-time anomaly detection across hundreds of sensors. He will guide you through how to set up a development environment with a streaming system (Kafka or similar), load sensor data to the streaming system with Bytewax, and write a dataflow using River that will transfo...
Build Anomaly Detection on Streaming Data in Python in 60 seconds
zhlédnutí 685Před rokem
Bytewax is an open source Python stream processing framework that allows you to easily build data pipelines and applications on top of streaming data. This video is a short example of how you can get started using Bytewax to process data from Kafka and run machine learning algorithms to detect anomalies.
Thank you for this great workshop!! How will the CDC help if we can't load the full SQL database in memory? Let's say I need to enrich the order with product data and I have billions of product roes. What's the best way to use this approach?
Good stuff. Entering my world.
I recently got interested in olap db. Why not use greenplum for everything for analytics? And use pinot druid etc?
It would be great to see a Bytewax example with TimescaleDB
Promo-SM 🙌