This is the Linux app named AWS SDK for pandas whose latest release can be downloaded as awswrangler-layer-3.13.0-py3.13-arm64.zip. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named AWS SDK for pandas with OnWorks for free.
Ikuti petunjuk ini untuk menjalankan aplikasi ini:
- 1. Download aplikasi ini di PC Anda.
- 2. Masuk ke file manager kami https://www.onworks.net/myfiles.php?username=XXXXX dengan username yang anda inginkan.
- 3. Upload aplikasi ini di filemanager tersebut.
- 4. Jalankan emulator online OnWorks Linux atau Windows online atau emulator online MACOS dari situs web ini.
- 5. Dari OS Linux OnWorks yang baru saja Anda mulai, buka file manager kami https://www.onworks.net/myfiles.php?username=XXXXX dengan nama pengguna yang Anda inginkan.
- 6. Download aplikasinya, install dan jalankan.
Tangkapan layar
Ad
AWS SDK untuk panda
DESKRIPSI
aws-sdk-pandas (formerly AWS Data Wrangler) bridges pandas with the AWS analytics stack so DataFrames flow seamlessly to and from cloud services. With a few lines of code, you can read from and write to Amazon S3 in Parquet/CSV/JSON/ORC, register tables in the AWS Glue Data Catalog, and query with Amazon Athena directly into pandas. The library abstracts efficient patterns like partitioning, compression, and vectorized I/O so you get performant data lake operations without hand-rolling boilerplate. It also supports Redshift, OpenSearch, and other services, enabling ETL tasks that blend SQL engines and Python transformations. Operational helpers handle IAM, sessions, and concurrency while exposing knobs for encryption, versioning, and catalog consistency. The result is a productive workflow that keeps your analytics in Python while leveraging AWS-native storage and query engines at scale.
Fitur
- High-level read/write of DataFrames to S3 with Parquet, CSV, JSON, and ORC
- Tight integration with AWS Glue Catalog and Athena for schema and SQL queries
- Convenience methods for Redshift COPY/UNLOAD and data migration patterns
- Automatic handling of partitions, compression, and columnar formats
- Session and IAM helpers with options for encryption and versioning
- Scalable I/O paths optimized for large data lake workloads
Bahasa Pemrograman
Ular sanca
KATEGORI
This is an application that can also be fetched from https://sourceforge.net/projects/aws-sdk-for-pandas.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
