ndnt
q
| ndnt | q | |
|---|---|---|
| 4 | 46 | |
| 3 | 10,129 | |
| - | - | |
| 0.0 | 2.1 | |
| over 1 year ago | 22 days ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 only |
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.
ndnt
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What's your default way setting up packages, testing, linting, and imports
I have not so much experience, but I will share it. My project structure contains two folders - package folder (named as same as package) and "tests/". In tests I don't use relative imports. I run tests on raw files (same for coverage). I don't know how you can run tests on built package, since it not exposes internals (or it does?). I use all of this in my python package called Ndnt.
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How to create a Python package in 2022
I recently posted about my own PyPI package called Ndnt. I have also been through all this, and can say that it is not even full list. You missing contributing part - PR/Issue templates, CONTRIBUTING.md. You allow to push to main directly, which is not a good practice. For me as contributor it is unclear how I can contribute to your library. So, it is a big space for improvements.
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Contribute to my project Ndnt
Last time I posted about ndnt first release. Ndnt is the CLI tool that helps you inspect indentation stats of your code.
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I created a tool for inspecting indents
Link for GitHub repository: https://github.com/Masynchin/ndnt. PRs are welcome.
q
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I wrote this iCalendar (.ics) command-line utility to turn common calendar exports into more broadly compatible CSV files.
CSV utilities (still haven't pick a favorite one...): https://github.com/harelba/q https://github.com/BurntSushi/xsv https://github.com/wireservice/csvkit https://github.com/johnkerl/miller
- Segítség kérés Excel automatizáláshoz
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Show HN: ClickHouse-local – a small tool for serverless data analytics
I think they're talking about https://github.com/harelba/q, which is not very fast.
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sqly - execute SQL against CSV / JSON with shell
Apparently, there were many who thought the same thing; Tools to execute SQL against CSV were trdsql, q, csvq, TextQL. They were highly functional, hoewver, had many options and no input completion. I found it just a little difficult to use.
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Q – Run SQL Directly on CSV or TSV Files
Hi, author of q here.
Regarding the error you got, q currently does not autodetect headers, so you'd need to add -H as a flag in order to use the "country" column name. You're absolutely correct on failing-fast here - It's a bug which i'll fix.
In general regarding speed - q supports automatic caching of the CSV files (through the "-C readwrite" flag). Once it's activated, it will write the data into another file (with a .qsql extension), and will use it automatically in further queries in order to speed things considerably.
Effectively, the .qsql files are regular sqlite3 files (with some metadata), and q can be used to query them directly (or any regular sqlite3 file), including the ability to seamlessly join between multiple sqlite3 files.
http://harelba.github.io/q/#auto-caching-examples
- PostgreSQL alternative for Large amounts of data
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q VS trdsql - a user suggested alternative
2 projects | 25 Jun 2022
- One-liner for running queries against CSV files with SQLite
What are some alternatives?
abcmeta - Python meta class and abstract method library with restrictions.
textql - Execute SQL against structured text like CSV or TSV
hypermodern-python - Hypermodern Python
csvq - SQL-like query language for csv
python-template - Python project and library template for clean, reliable, open-source projects.
octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
InquirerPy - :snake: Python port of Inquirer.js (A collection of common interactive command-line user interfaces)
xsv - A fast CSV command line toolkit written in Rust.
ledger - Double-entry accounting system with a command-line reporting interface
simdjson - Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks
sqlitebrowser - Official home of the DB Browser for SQLite (DB4S) project. Previously known as "SQLite Database Browser" and "Database Browser for SQLite". Website at:
siuba - Python library for using dplyr like syntax with pandas and SQL