News algorithm project-Help needed

This page summarizes the projects mentioned and recommended in the original post on /r/PythonProjects2

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  • WorkOS - The modern identity platform for B2B SaaS
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  • examples

    TensorFlow examples (by tensorflow)

  • This sounds very vague to me, but Python can probably do what you are imagining. For example, for graphs of statistical relationships between data, there is https://matplotlib.org/ and https://seaborn.pydata.org/. If you want to go deeper into machine learning, there is https://scikit-learn.org/stable/index.html and https://www.tensorflow.org/ for example. Also, take a look at https://pandas.pydata.org for tabular data of different kinds.

  • seaborn

    Statistical data visualization in Python

  • This sounds very vague to me, but Python can probably do what you are imagining. For example, for graphs of statistical relationships between data, there is https://matplotlib.org/ and https://seaborn.pydata.org/. If you want to go deeper into machine learning, there is https://scikit-learn.org/stable/index.html and https://www.tensorflow.org/ for example. Also, take a look at https://pandas.pydata.org for tabular data of different kinds.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • Pandas

    Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

  • This sounds very vague to me, but Python can probably do what you are imagining. For example, for graphs of statistical relationships between data, there is https://matplotlib.org/ and https://seaborn.pydata.org/. If you want to go deeper into machine learning, there is https://scikit-learn.org/stable/index.html and https://www.tensorflow.org/ for example. Also, take a look at https://pandas.pydata.org for tabular data of different kinds.

  • cheatsheets

    Official Matplotlib cheat sheets (by matplotlib)

  • This sounds very vague to me, but Python can probably do what you are imagining. For example, for graphs of statistical relationships between data, there is https://matplotlib.org/ and https://seaborn.pydata.org/. If you want to go deeper into machine learning, there is https://scikit-learn.org/stable/index.html and https://www.tensorflow.org/ for example. Also, take a look at https://pandas.pydata.org for tabular data of different kinds.

  • newscatcher

    Programmatically collect normalized news from (almost) any website.

  • I think you would benefit from a news data API like our newscatcher. We don't drill down to the state level (yet) but we do allow you to filter news by country, language, individual sources, date ranges, and you can also use a query like "fire" to search for relevant articles. And the data is returned as JSON objects, so it's pretty easy to work with.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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