bpython
iPython
IDLE
ptpython
PyCharm
Spyder
Jupyter
Python
Google BigQuery
Databricks
Looker
Jupyter
Presto DB
Google Cloud Dataflow
Amazon EMR
Rakam
bpython Google BigQueryBased on our record, Google BigQuery should be more popular than bpython. It has been mentiond 35 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.
Yeah, also it's worth to mention bpython. Source: almost 2 years ago
Yeah, mostly I lack time to catch up with Jonathan Slenders works, and have stronger backward compatibility requirements. b=But ptpython and pyipython are both great. I should also look into Rich and Textual https://bpython-interpreter.org/ is also another alternative python shell, and of course https://xon.sh. - Source: Hacker News / over 2 years ago
Python comes with IDLE as /usr/bin/idle but it doesn't have a corresponding .desktop file that would let it appear in the application menu. Otherwise, /usr/bin/python has an interactive mode and bpython is a wrapper around that interactive mode that has like syntax highlighting, indenting, undo, etc. Source: over 2 years ago
Someone posted bpython which I'm pretty ecstatic about but always good to know options. Source: almost 3 years ago
Someone else posted this - bpython - which is what I was looking for. Source: almost 3 years ago
Using the Galaxy UI, knowledge workers can systematically review the best results from all configured services including Apache Solr, ChatGPT, Elastic, OpenSearch, PostgreSQL, Google BigQuery, plus generic HTTP/GET/POST with configurations for premium services like Google's Programmable Search Engine, Miro and Northern Light Research. - Source: dev.to / 9 months ago
Data Transformations: This phase involves modifying and integrating tables to generate new tables optimized for analytical use. Consider this example: you want to understand the purchasing behavior of customers aged between 20-30 in your online shop. This means you'll need to join product, customer, and transaction data to create a unified table for analytics. These data preparation tasks (e.g., joining... - Source: dev.to / 9 months ago
Introduction In today's data-driven world, transforming raw data into valuable insights is crucial. This process, however, often involves complex tasks that demand efficiency, scalability, and reliability. Enter dbt Cloud—a powerful tool that simplifies data transformations on Google BigQuery. In this article, we'll take you through a step-by-step guide on how to run BigQuery transformations using dbt Cloud.... - Source: dev.to / 9 months ago
You'll want to evaluate what BigQuery has to offer and see if it makes sense for you to move over. Source: 11 months ago
Watch the introductory videos on BigQuery on the Google Cloud Platform website (https://cloud.google.com/bigquery). Source: 11 months ago
iPython - iPython provides a rich toolkit to help you make the most out of using Python interactively.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
IDLE - Default IDE which come installed with the Python programming language.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
ptpython - a better Python REPL
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.