Use Python to develop your ETL scripts for Spark jobs. The supported Python versions for ETL jobs depend on the AWS Glue version of the job. For more information on AWS Glue versions, see the Glue version job p
What is AWS Glue? How it works Getting started Data discovery and cataloging Connecting to data Building AWS Glue jobs with interactive sessions Building visual ETL jobs with AWS Glue Studio Working with jobs AWS Glue versions Working with Spark jobs ...
we'll equip you with the knowledge to pick the perfect tool for the job, complete with the pros and cons of each method, real-world examples, and a sprinkle of hard-earned wisdom from yours truly.
但是我们无法从fp中读取更多文本,因为在with块结束时,调用了TextIOWrapper.__exit__方法,它关闭了文件。 示例18-1 中的第一个标注点提出了一个微妙但至关重要的观点:上下文管理器对象是在评估with后的表达式的结果,但绑定到目标变量(在as子句中)的值是上下文管理器对象的__enter__方法返回的结果。 恰好open()函...
https://github.com/eriklindernoren/ML-From-ScratchStar 1486416、localstack这是一个全功能本地AWS云...
Georgi G. 5.0/5 (149 jobs) Python API Development Quantitative Finance AWS Lambda Bitcoin Cryptocurrency PostgreSQL FinTech Consulting Trading Automation Data Analysis Data Visualization Matplotlib pandas See more $25/hr $25 hourly Martin V. 5.0/5 (8 jobs) Python Odoo ...
https://aws.amazon.com/about-aws/whats-new/2019/01/introducing-python-shell-jobs-in-aws-glue/ https://aws.amazon.com/blogs/big-data/optimize-python-etl-by-extending-pandas-with-aws-data-wrangler/ https://aws.amazon.com/cn/blogs/china/an-open-source-tool-for-building-a-dat...
第5 章,云平台使用 Python,展示如何使用 AWS 将 Python 应用部署到云平台。 第6 章,超级计算机群使用 Python,介绍将 Python 应用部署到超级计算机群,多应用于大学和国家实验室。 第7 章,测试和调试分布式应用,讲解了 Python 分布式应用在测试、概述和调试中的难点。
aws-sdk-pandas - Pandas on AWS. datasette - An open source multi-tool for exploring and publishing data. optimus - Agile Data Science Workflows made easy with PySpark. Data Validation Libraries for validating data. Used for forms in many cases. cerberus - A lightweight and extensible data val...
A weekly Python podcast hosted by Christopher Bailey with interviews, coding tips, and conversation with guests from the Python community. The show covers a wide range of topics including Python programming best practices, career tips, and related softw