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Create and run cloud-based virtual machines.
Secure and customizable compute service that lets you create and run virtual machines.

Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.

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1

Cinemagoer

Python package to retrieve and manage data of the IMDb

Cinemagoer is a Python package useful to retrieve and manage the data of the IMDb movie database about movies, people, characters and companies. Platform-independent, it can retrieve data from both the IMDb's web server and a local copy of the whole db.

4 Reviews

Downloads: 9 This Week

Last Update: 2023-05-01
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2

PHP logger

A PHP logging facility. Supports output to console, local file, syslog and e-mail. Supports message classes and syslog like thresholding. Requires PHP 4.x. Works in either a shell or web environment.

Downloads: 0 This Week

Last Update: 2013-11-18
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3

Startx Administration System

startx is the project name for an interface build in php which takes the output of some products like MRTG or awstats or ACID... and put them together in the same Web interface.

Downloads: 0 This Week

Last Update: 2013-02-20
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4

Flexible Graphing Tool

FGT, the Flexible Graphing Tool is a cgi for producing statistics based on any data-set. It is intended to be used for summarised data, taking up far less space than the original logs.

Downloads: 0 This Week

Last Update: 2013-02-21
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Cloud data warehouse to power your data-driven innovation
BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.

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