large-file-split-compress-parallel-upload-to-S3 | parallel upload large file to S3
kandi X-RAY | large-file-split-compress-parallel-upload-to-S3 Summary
kandi X-RAY | large-file-split-compress-parallel-upload-to-S3 Summary
large-file-split-compress-parallel-upload-to-S3 is a Python library. large-file-split-compress-parallel-upload-to-S3 has no bugs, it has no vulnerabilities and it has low support. However large-file-split-compress-parallel-upload-to-S3 build file is not available. You can download it from GitHub.
Split and parallel upload large file to S3 in smaller compressed chunks.
Split and parallel upload large file to S3 in smaller compressed chunks.
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Quality
Security
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Support
large-file-split-compress-parallel-upload-to-S3 has a low active ecosystem.
It has 2 star(s) with 0 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
large-file-split-compress-parallel-upload-to-S3 has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of large-file-split-compress-parallel-upload-to-S3 is current.
Quality
large-file-split-compress-parallel-upload-to-S3 has 0 bugs and 0 code smells.
Security
large-file-split-compress-parallel-upload-to-S3 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
large-file-split-compress-parallel-upload-to-S3 code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
large-file-split-compress-parallel-upload-to-S3 does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
large-file-split-compress-parallel-upload-to-S3 releases are not available. You will need to build from source code and install.
large-file-split-compress-parallel-upload-to-S3 has no build file. You will be need to create the build yourself to build the component from source.
It has 329 lines of code, 20 functions and 1 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed large-file-split-compress-parallel-upload-to-S3 and discovered the below as its top functions. This is intended to give you an instant insight into large-file-split-compress-parallel-upload-to-S3 implemented functionality, and help decide if they suit your requirements.
- Put data into S3 .
- Main function .
- Get file content .
- Iterate over the files in a directory .
- Initialize the instance .
- stats for stat_queue
- Update an existing key in a bucket .
- Helper function for walker .
- Open the file .
- Executes a function yielding the given function .
Get all kandi verified functions for this library.
large-file-split-compress-parallel-upload-to-S3 Key Features
No Key Features are available at this moment for large-file-split-compress-parallel-upload-to-S3.
large-file-split-compress-parallel-upload-to-S3 Examples and Code Snippets
No Code Snippets are available at this moment for large-file-split-compress-parallel-upload-to-S3.
Community Discussions
No Community Discussions are available at this moment for large-file-split-compress-parallel-upload-to-S3.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install large-file-split-compress-parallel-upload-to-S3
You can download it from GitHub.
You can use large-file-split-compress-parallel-upload-to-S3 like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use large-file-split-compress-parallel-upload-to-S3 like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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