Dask
sqlite_orm
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Dask | sqlite_orm | |
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32 | 9 | |
11,982 | 2,132 | |
1.5% | - | |
9.7 | 0.0 | |
7 days ago | 9 days ago | |
Python | C++ | |
BSD 3-clause "New" or "Revised" License | GNU Affero General Public License v3.0 |
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.
Dask
- The Distributed Tensor Algebra Compiler (2022)
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A peek into Location Data Science at Ola
Data scientists work on phenomenally large datasets, and Dask is a handy tool for exploration within the confines of a single cloud VM or their local PCs. Location data visualization is an essential part of deciding further algorithm development and roadmap for projects. This lays the foundation for data engineering and science to work at scale, with petabytes of data.
- File format for large data with many columns
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What is the best way to save a csv.file in number only ? PC hangs when my file is more than 2GB
Dask
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Large Scale Hydrology: Geocomputational tools that you use
We're using a lot of Python. In addition to these, gridMET, Dask, HoloViz, and kerchunk.
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msgspec - a fast & friendly JSON/MessagePack library
I wrote this for speeding up the RPC messaging in dask, but figured it might be useful for others as well. The source is available on github here: https://github.com/jcrist/msgspec.
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What does it mean to scale your python powered pipeline?
Dask: Distributed data frames, machine learning and more
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Data pipelines with Luigi
To do that, we are efficiently using Dask, simply creating on-demand local (or remote) clusters on task run() method:
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Is Numpy always more efficient than Pandas? And how much should we rely on Python anyway?
Look into Dask, see: https://dask.org/
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Ask HN: Is PySPark a Dead-End?
[1] https://dask.org/
sqlite_orm
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Introducing ZXORM - A C++20 ORM for SQLite with Compile Time Type Safety
Obligatory "how does it compare to" https://github.com/fnc12/sqlite_orm ?
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Comprehensive tutorial for working with databases and c++
I had some success with sqlite_orm, but more generally I'd just recommend to pick a lib that fit your needs and read its examples/docs.
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Please could you recommend a C++ ORM for accessing open source databases such as PostgreSQL?
For SQLite, I like sqlite_orm
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sqlite_orm VS TinyORM - a user suggested alternative
2 projects | 26 May 2022
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C++20 ❤️ SQL (CppCon 2021)
This one thing I feel like C++ has lacked in: a good, generic, SQL ORM. There is sqlite_orm which is really nice, but only for SQLite. Anyone have any other suggestions?
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Are there any fast alternatives to databases (for tabular data but without SQL)?
Probably the most popular ORM for modern C++ is https://github.com/fnc12/sqlite_orm. I've never used it personally. But if you configure SQLite to disable all the barriers and all synchronisation, I think you'll find it goes very, very quickly even with the ORM layer in between.
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New SQLite ORM library
Hey folks. I've posted my new `SQLiteORM` lib today here on GitHub https://github.com/fnc12/sqlite-orm-swift . It is the same lib I've written with C++ before https://github.com/fnc12/sqlite_orm . It uses keypath instead of `Codable` protocol to serialize and deserialize objects. If you need to use SQLite database inside your Swift project and you hate writing SQL queries using raw strings then you may like this lib.
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Using SQLite or a serialization library for a data format?
I was leaning towards SQLite (along with sqlite_orm ) since I thought my data might be more relational and I used to work with databases a lot more. And I can use a SQLite browser app to view my data. But I'm wondering if doing serialization with a library like cerial or Boost's would be better.
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Data storage for application
For the brief time I've used sqlite_orm, I've really liked it: https://github.com/fnc12/sqlite_orm
What are some alternatives?
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
sqlite_modern_cpp - The C++14 wrapper around sqlite library
Numba - NumPy aware dynamic Python compiler using LLVM
SQLite - Unofficial git mirror of SQLite sources (see link for build instructions)
Kedro - Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
SQLite - Official Git mirror of the SQLite source tree
NetworkX - Network Analysis in Python
hiberlite - C++ ORM for SQLite
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
MongoDB C++ Driver - C++ Driver for MongoDB
Interactive Parallel Computing with IPython - IPython Parallel: Interactive Parallel Computing in Python
ClickHouse - ClickHouse® is a free analytics DBMS for big data