python_exp_learning
This repository contains activities for learning coding skills in python.
Getting Started
>>> conda env create -f env.yaml
>>> conda activate mathstropy_env_python_310
For Development
Windows
>>> pip install -e .[dev]
Mac
>>> pip install -e .'[dev]'
For Non-Development Purposes
>>> pip install -e
1 maintainer
Metadata
1 maintainer
Release files for mathstropy 4.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mathstropy-4.0.7.tar.gz | 17.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mathstropy-4.0.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 35.1 kB
Release files / mathstropy-4.0.7.tar.gz
| Download URL | mathstropy-4.0.7.tar.gz |
|---|---|
| Size | 17.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.11
|
Release files / mathstropy-4.0.7-py3-none-any.whl
| Download URL | mathstropy-4.0.7-py3-none-any.whl |
|---|---|
| Size | 17.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.11
|
