Dead salmon brain
Python API for analysis A/B experiments
Getting Started
Build from source
1) Clone git repository
2) Create virtual environment or activate existed pyspark env
3) Check spark,scala,hadoop and set correct in 4 step
4) bash setup.sh spark=3.1.2 scala=2.12.15 hadoop=3.2 is_build=true is_install_python_lib=true
Setup from released packages
1) Clone git repository
2) Create virtual environment or activate existed pyspark env
3) Check spark,scala,hadoop and set correct in 4 step
4) bash setup.sh version=0.0.4 spark=3.1.2 scala=2.12.15 hadoop=3.2 is_build=false is_install_python_lib=true
Examples
Colab example
https://colab.research.google.com/drive/1uzxBpkpxVDLNhIcS2clfeOJK57AbH-pf?usp=sharing
Jupyter example you can find in python/examples.
But before you should read how to configure jupyter with pyspark.
Metadata
Release files for dead-salmon-brain 0.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dead-salmon-brain-0.0.7.tar.gz | 7.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dead_salmon_brain-0.0.7-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 16.4 kB
Release files / dead-salmon-brain-0.0.7.tar.gz
| Download URL | dead-salmon-brain-0.0.7.tar.gz |
|---|---|
| Size | 7.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/4.0.0 CPython/3.9.12
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Release files / dead_salmon_brain-0.0.7-py2.py3-none-any.whl
| Download URL | dead_salmon_brain-0.0.7-py2.py3-none-any.whl |
|---|---|
| Size | 8.8 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.9.12
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