python-n26
q
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| python-n26 | q | |
|---|---|---|
| 3 | 46 | |
| 192 | 10,122 | |
| - | - | |
| 0.0 | 2.1 | |
| 6 months ago | 4 days ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 only |
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python-n26
- Banche Smart - quali sono le banche più "programmer friendly"? Mi sono rotto di fare tutto manualmente (e nemmeno ho cominciato)
- Neobank mir gutem Datenexport
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Bank of England Statement on Central Bank Digital Currency
You can sign up for an N26 account via smartphone app and then use this (unofficial) python library https://github.com/femueller/python-n26
I fully agree with you though, the Open Banking outcome in reality almost looks like a joke. I only found the above as I was searching for a while to find a way to do this that didn't involve building my own screen scrapers to implement.
There are banking offerings in the UK with official APIs however you are looking at £200/month+ in costs.
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
- SegÃtség 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?
python-fints - Pure-python FinTS (formerly known as HBCI) implementation
textql - Execute SQL against structured text like CSV or TSV
banking-system - A Banking System Concept Created Using Django Python Web Framework and Tailwind CSS
csvq - SQL-like query language for csv
Zato - ESB, SOA, REST, APIs and Cloud Integrations in Python
octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
avanza - A Python library for the unofficial Avanza API
InquirerPy - :snake: Python port of Inquirer.js (A collection of common interactive command-line user interfaces)
tixati-python-api-cli - A Python API and CLI combo for the Tixati torrent client's webserver interface.
xsv - A fast CSV command line toolkit written in Rust.
abna - Python library to automatically retrieve mutations from ABN Amro
ledger - Double-entry accounting system with a command-line reporting interface