Robert Schweikert
rjschwei
Involved Projects and Packages
Project to contain all the tools used in communicating with AWS/s3.
Boto3 is the Amazon Web Services (AWS) Software Development Kit (SDK) for Python, which allows Python developers to write software that makes use of services like Amazon S3 and Amazon EC2.
boto3 replaces the previous SDK known as boto and packaged as python-boto. New feature development only takes place in boto3.
For documentation consult the online documentation at
http://boto3.readthedocs.org/en/latest/
Botocore is a low-level interface to a growing number of Amazon Web Services. Botocore serves as the foundation for the AWS-CLI command line utilities. It will also play an important role in the boto3.x project.
The botocore package is compatible with Python versions 2.6.x - 3.3.x.
Project containing all various python modules for working and using Microsoft Azure.
Please don't make any submit requests before talking to @glaubitz. Please avoid updating individual packages only as this can break the Azure SDK which needs the package versions to be in sync.
This is the development project for Python-based general-purpose numeric and plotting packages, such as numpy and matplotlib.
FUSE-based file system backed by Amazon S3. Mount a bucket as a local file system read/write. Store files/folders natively and transparently.
Each application uses some interfaces provided by Operating System. The goal of the project is to collect information about these dependencies and to use it for the Linux Standard Base [http://www.linux-foundation.org/en/LSB] development.
My play area for various packages of interest to me.
Builds Python 3.11 as a component of the component architecture POC
Python component for component architecture POC for ALP
Transparanet containers with flake-pilot showing the complete setup
An assorted collection of packages and container images to illustrate various approaches for ALP topics being considered
Open WebUI packages and container
B::Keywords supplies seven arrays of keywords: @Scalars, @Arrays,
@Hashes, @Filehandles, @Symbols, @Functions and @Barewords. The @Symbols
array includes the contents of each of @Scalars, @Arrays, @Hashes and
@Filehandles. Similarly, @Barewords adds a few non-function keywords
(like __DATA__, NULL) to the @Functions array.
Hook::LexWrap allows you to install a pre- or post-wrapper (or both) around
an existing subroutine. Unlike other modules that provide this capacity
(e.g. Hook::PreAndPost and Hook::WrapSub), Hook::LexWrap implements
wrappers in such a way that the standard caller function works correctly
within the wrapped subroutine.
PadWalker is a module which allows you to inspect (and even change!)
lexical variables in any subroutine which called you. It will only show
those variables which are in scope at the point of the call.
PadWalker is particularly useful for debugging. It's even used by Perl's
built-in debugger. (It can also be used for evil, of course.)
I wouldn't recommend using PadWalker directly in production code, but it's
your call. Some of the modules that use PadWalker internally are certainly
safe for and useful in production.
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- 1 commit in Cloud:Tools / oci-cli
- 1 commit in devel:languages:python / python-google-auth