dlprac - Deep Learning Practice Files
A practical collection of deep learning practice files that includes both Python scripts (.py) and Jupyter notebooks (.ipynb).
Installation
Install the package using pip:
pip install dlprac
Usage
Download Practice Files
After installation, you can download all packaged practice files. The command creates a dlprac_files subfolder in the target location and stores all files there:
dlprac download
Or specify a custom destination:
dlprac download --dest my-files
This will create my-files/dlprac_files and place all packaged files inside it.
List Available Files
To see all available files without downloading:
dlprac download --list
Package Information
Get information about the package:
dlprac info
Packaged Contents
Current packaged files:
01_mcp.py02_multilayer_perceptron.py03_sup_sl_feedforward_sgd_mbgd_bgd.py04_fc_denoising_autoenc_mnist.ipynb05_fc_autoenc_compression_layers.ipynb06_cnn_catdog.ipynb07_rnn_wordseq.ipynb08_lstm_sentimentimdb.ipynb
Requirements
The practice files use common ML/DL libraries such as:
- NumPy
- Pandas
- Matplotlib
- Seaborn
- Scikit-learn
Install them separately:
pip install numpy pandas matplotlib seaborn scikit-learn jupyter
Python API
You can also use the package programmatically in Python:
import dlprac
# Get the path to packaged files
files_path = dlprac.get_notebooks_path()
# List all available packaged practice files
files = dlprac.list_notebooks()
for item in files:
print(item)
License
MIT License
Metadata
Release files for dlprac 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| dlprac-0.1.1.tar.gz | 37.2 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dlprac-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 77.8 kB
Release files / dlprac-0.1.1.tar.gz
| Download URL | dlprac-0.1.1.tar.gz |
|---|---|
| Size | 37.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
f5847d95fe03e16965236312388ef9dc24407378d89c522a6c014c7f9d5d9976
|
|
BLAKE2b-256 checksum How to use checksums |
d45d1e35c60ddfd3c3904eb80c366611e33fe870c8b587cba74c5fc798c820fd
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.5
|
Release files / dlprac-0.1.1-py3-none-any.whl
| Download URL | dlprac-0.1.1-py3-none-any.whl |
|---|---|
| Size | 40.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
0cffa521dca6baca640e8c1ab932e58bb18c9b0fd16d3b7cfe66e3ba330816bf
|
|
BLAKE2b-256 checksum How to use checksums |
c4aaf12e33a00d8822868a2c4bf35759d3eb3b9386122d8181bf9e573499fcd6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.5
|
Security for dlprac 0.1.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.