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Based on our record, Google BigQuery should be more popular than ptpython. 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.
If you like using the REPL, for Python I recommend you try https://github.com/prompt-toolkit/ptpython. - Source: Hacker News / 12 months ago
REPL??? Do you have a very-easy-to-use way of running and testing your code? From vim-slime to nvim sniprun to autocommands with the built in terminal, to an external repl like ptpython (for python obviously). iron.nvim and conjure are two other neovim repl plugins. There are many ways of running the code that you're working on, and having something that makes this really easy for you is pretty essential.... Source: about 1 year ago
I use ptpython for my python repl https://github.com/prompt-toolkit/ptpython. I find it very convenient because it has a vim mode, and many vim similarities. Source: about 1 year ago
A library like ptpython should be what you're looking for, however this probably isn't an option for an exam setting. Source: over 1 year ago
Create a repl to the standard that ptpython sets for python (both croissant and ilua leave a lot to be desired). Source: over 1 year 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 / 8 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 / 8 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: 10 months ago
Watch the introductory videos on BigQuery on the Google Cloud Platform website (https://cloud.google.com/bigquery). Source: 10 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?
bpython - bpython is a fancy interface to the Python interpreter for Unix-like operating systems (I hear it...
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.
IDLE - Default IDE which come installed with the Python programming language.
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.