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Use Python to Download Multiple Files (or URLs) in Parallel

Towards Data Science

Obtaining these data is often frustrating because of the download (or acquisition burden). Fortunately, with a little code, there are ways to automate and speed-up file download and acquisition. Automating file downloads can save a lot of time. There are several ways to automate file downloads with Python.

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Data Quality Dimensions: How Do You Measure Up? (+ Downloadable Scorecard)

Precisely

For example, if a customer’s street address is correct, but the postal code does not match, then the data lacks accuracy. US zip codes are at least a 5-digit numeric string but sometimes may include a four-digit appendix. Each country has its own rules governing the validity of postal codes.

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Strobelight: A profiling service built on open source technology

Engineering at Meta

Engineers and developers can use this information to identify performance and resource bottlenecks, optimize their code, and improve utilization. Lets say an engineer makes a code change that introduces an unintended copy of some large object on a services critical path. This data needs to be downloaded then parsed.

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Simplify Data Warehouse Migrations: Free SnowConvert with Redshift Support

Snowflake

Thats why we are announcing that SnowConvert , Snowflakes high-fidelity code conversion solution to accelerate data warehouse migration projects, is now available for download for prospects, customers and partners free of charge. And today, we are announcing expanded support for code conversions from Amazon Redshift to Snowflake.

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Apache Airflow® Crash Course: From 0 to Running your Pipeline in the Cloud

With over 30 million monthly downloads, Apache Airflow is the tool of choice for programmatically authoring, scheduling, and monitoring data pipelines. Airflow enables you to define workflows as Python code, allowing for dynamic and scalable pipelines suitable to any use case from ETL/ELT to running ML/AI operations in production.

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Fine-Tuning Improves the Performance of Meta’s Code Llama on SQL Code Generation 

Snowflake

Based on Snowflake’s testing, Meta’s newly released Code Llama models perform very well out-of-the-box. Code Llama models outperform Llama2 models by 11-30 percent-accuracy points on text-to-SQL tasks and come very close to GPT4 performance. On Hugging Face alone , the Llama2 family was downloaded over 1.4

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Gen AI in Action: Customers’ Cortex AI Stories and Outcomes

Snowflake

To address that, the Advisor360° analytics and insights team built a sentiment model from scratch, using highly specialized, Python-heavy code that would extract data and push it out to a file, then incorporate it into a dashboard. But, of course, the model required constant maintenance and updating.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.