We have collection of more than 1 Million open source products ranging from Enterprise product to
small libraries in all platforms. We aggregate information from all open source repositories.
Search and find the best for your needs. Check out projects section.
vscode-bigquery - A Visual Studio Code plugin for running BigQuery queries.
This extension is great if you're exploring BigQuery and prefer VS Code's editing environment, or for cases where you're writing documentation (hint: use "Run selected text as query") and want to double check that the query is valid. The BigQuery extension adds a number of commands to the command palette (Cmd/Ctrl+Shift+P).
Simple Python client for interacting with Google BigQuery.This client provides an API for retrieving and inserting BigQuery data by wrapping Google's low-level API client library. It also provides facilities that make it convenient to access data that is tied to an App Engine appspot, such as request logs.
The low-level API provides thin wrappers over the underlying REST API. All the low-level functions start with bq_, and mostly have the form bq_noun_verb(). This level of abstraction is most appropriate if you’re familiar with the REST API and you want do something not supported in the higher-level APIs. The DBI interface wraps the low-level API and makes working with BigQuery like working with any other database system. This is most convenient layer if you want to execute SQL queries in BigQuery or upload smaller amounts (i.e. <100 MB) of data.
Convert JSON Objects to MySQL Table Schema, JSON Schema, Mongoose Schema, ClickHouse Schema, Google BigQuery, or a Generic template for documentation, code generation, and more. Optionally, add -g to the above if you want the generate-schema command line executable.
A curated list of delightful Visual Studio Code packages and resources. For more awesomeness, check out awesome. Language packages extend the editor with syntax highlighting and/or snippets for a specific language or file format.
We’ve had a great time giving you our predictions for the World Cup (check out our post before the quarter finals and the one before the semi-finals). So far, we’ve gotten 13 of 14 games correct. But this shouldn’t be about what we did - it’s about what you can do with Google Cloud Platform. Now, we are open-sourcing our prediction model and packaging it up so you can do your own analysis and predictions.We have ingested raw touch-by-touch gameplay day from Opta for thousands of soccer matches using Google Cloud Dataflow and polished the raw data into predictive statistics using Google BigQuery. You can see BigQuery engineer Jordan Tigani (+JordanTigani) and developer advocate Felipe Hoffa (@felipehoffa) talk about how we did it in this video from Google I/O.
These snippets were built to supercharge my workflow in the most seamless manner possible. This repo was built particularly for real world use. It doesn't catalogue the API definitions, and it's not a kitchen sink approach. Rather, it focuses on developer ergonomics from the point of Vue of real world use. Included are the pieces I personally get sick of typing, have to keep looking up, or forget to consider while developing that I make more use of when they're at my fingertips.
Install the extension: Press F1, type ext install php-debug. This extension is a debug adapter between VS Code and XDebug by Derick Rethan. XDebug is a PHP extension (a .so file on Linux and a .dll on Windows) that needs to be installed on your server.
If you wish to disable italics, there is now a no-italic theme available. You will have access to both, select Night Owl No Italics as your color theme. The preview image is using Bracket Pair Colorizer, a really cool extension that highlights matching brackets. This can help reduce unwanted errors.
This repo is the official repository for filing issues against and getting support for the Microsoft C/C++ extension for VsCode (https://marketplace.visualstudio.com/items?itemName=ms-vscode.cpptools).This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact firstname.lastname@example.org with any additional questions or comments.
Google Cloud DataLab provides a productive, interactive, and integrated tool to explore, visualize, analyze and transform data, bringing together the power of Python, SQL, and the Google Cloud Platform with services such as BigQuery and Storage.