mud-pi
ibis
mud-pi | ibis | |
---|---|---|
5 | 23 | |
341 | 4,241 | |
- | 6.5% | |
0.0 | 10.0 | |
almost 3 years ago | 4 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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.
mud-pi
- FLaNK Stack 26 February 2024
- A simple MUD server in Python which can be run on a Raspberry Pi
- Python for dnd
- What kind of data structure is this and how can I modify it to meet my needs?
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has any one created a MUD(multiuser dungeon) game via python?
Maybe look at MUD Pi. Are you sure you want to develop a MUD though? That will require you to create a server (possibly hosted through a paid platform like AWS or Heroku than if you plan to connect via a LAN then that won't be necessary). A single-player roguelike would be a bit easier.
ibis
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Show HN: Hashquery, a Python library for defining reusable analysis
I really don't understand the appeal of dbt vs a proper programming language. The templating approach leads to massive spaghetti. I look forward to trying out something like Ibis [0]
0: https://ibis-project.org/
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This Week In Python
ibis – portable Python dataframe library
- Ibis: The portable Python dataframe library
- FLaNK Stack 26 February 2024
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Quarto
The main benefit is that you get a Python (or R, Julia or Rust) interpreter. So you can evaluate code. A good example of the value of this is the Ibis docs which use Quarto: https://ibis-project.org/
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Polars – A bird's eye view of Polars
Ive found polars quite intuitive, though for python, I lean more towards [ibis](https://ibis-project.org/). The interface is nearly identical, but ibis has the benefit if building sql queries before pulling any actual data (like dbplyr) — whereas polars requires the data to be in-memory (at least for rdb’s, though correct me if Im wrong)
this to me seems like a good argument for only using ibis, but Im happy to be convinced otherwise
- Ibis – Universal Interface for Data Wrangling
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Vanna.ai: Chat with your SQL database
Please add Ibis Birdbrain https://ibis-project.github.io/ibis-birdbrain/ to the list. Birdbrain is an AI-powered data bot, built on Ibis and Marvin, supporting more than 18 database backends.
See https://github.com/ibis-project/ibis and https://ibis-project.org for more details.
- Ibis
What are some alternatives?
evennia - Python MUD/MUX/MUSH/MU* development system
snowflake-connector-python - Snowflake Connector for Python
textray - A Telnet server that allows a connected client to navigate a text-based ray-casted 3D landscape
PySpark-Boilerplate - A boilerplate for writing PySpark Jobs
thonny - Python IDE for beginners
Apache Impala - Apache Impala
mciwb - Minecraft Interactive world builder
pangres - SQL upsert using pandas DataFrames for PostgreSQL, SQlite and MySQL with extra features
awesome-python-for-data-science - A curated list of awesome resources such as books, tutorials, courses, open-source libraries, exercises, and other materials that support Pythonistas in the making, and Pythonistas migrating into Data Science! 📊
sqlite_scanner - DuckDB extension to read and write to SQLite databases
gemma.cpp - lightweight, standalone C++ inference engine for Google's Gemma models.
katacoda