DuckDB
ClickHouse
Apache Kafka
Apache Spark
Apache Arrow
Apache Parquet
Amazon Redshift
Google BigQuery
WinPython
PyCharm
Colaboratory
Portable Python
Thonny
PythonAnywhere
Spyder
Anaconda
Based on our record, DuckDB should be more popular than WinPython. It has been mentiond 46 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
DuckDB is the closest thing the analytics world has to SQLite. It runs in-process, needs no server, reads and writes a single file, and chews through columnar aggregate queries that would make a row-store sweat. PHP has shipped PDO_SQLite in core for twenty years. Until now it had no equivalent for DuckDB. - Source: dev.to / 3 months ago
DeepSeek released Smallpond, a lightweight data processing framework built on DuckDB and 3FS. The idea was surprisingly simple: instead of building everything around a traditional big-data engine like Spark, run many independent DuckDB-based processing jobs close to the data, partition the workload carefully, and let each local engine do what it does best. - Source: dev.to / 4 months ago
The server embeds DuckDB in-process and loads pre-aggregated views and lookup Tables at startup. Some are straight copies of small reference tables. Others Are materialized summaries that flatten joins the source database was never Designed to run efficiently, the kind of cross-table aggregations that make Sense for an analytical question but would be expensive on a schema built for Transactional web UI... - Source: dev.to / 5 months ago
I recommend using DuckDB for querying large Parquet files – it's incredibly fast and handles the heavy lifting without requiring you to load everything into memory at once. - Source: dev.to / 6 months ago
DuckDB is an embeddable SQL database built for analytics. It's fast, handles CSVs natively, and — crucially — it compiles to WebAssembly, which means it runs entirely inside your browser tab. - Source: dev.to / 6 months ago
STEP 1: Python on Windows What to install Download and install WinPython from https://winpython.github.io. I researched Python on Windows and in very short order understood that WinPython is the way to go. While it’s stated audience is scientists, data scientists and education, it fully serves the needs of personal projects. Also, it is available as a portable distribution with no requirement to register with... - Source: dev.to / over 2 years ago
How can I use the portable version of winpython from https://winpython.github.io to configure into qbittorrent to detect the runtime pre-requisites so that my portable qbittorent search can work? Thx in advanced. #portablepython. Source: over 3 years ago
You equally are barred from e.g., WinPython which can work without an installation into the OS, too? Then - mechanically speaking - it wouldn't matter that the USB ports are permanently plastered with some polymer. Source: over 3 years ago
Thank for answering. I understand that the interpreter situation can be annoying. There is WinPython [0] to circumvent that to some degree. I feel like if I don’t do it the „VSCode and py-file“ way, it’ll be more and more difficult to keep everything together when teaching about modularity and putting functions in helper scripts, putting tests in other directories and such. I think it’s just because I got used to... - Source: Hacker News / over 3 years ago
One option would be to use a portable Python runtime. Like this one: https://winpython.github.io/. Source: over 3 years ago
ClickHouse - ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.
PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...
Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
Colaboratory - Free Jupyter notebook environment in the cloud.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Portable Python - Minimum bare bones portable python distribution with PyScripter as development environment.