semvec/pypi-packages huggingface dataset:
whalegrad 0.0.1
A deep learning framework from scratch
License: MIT

# whalegrad 🐳
# whalegrad a deep learning framework based on Python and NumPy with experimental Jax integration.
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![](https://github.com/saurabhaloneai/whalegrad/blob/main/images/whalegrad.png)

# Whalor

* It is multi-dim array like  Whalor.
* It support float, int numpy-array and list.
if-optional 0.0.3
Optional chaining for Python
License: MIT

# if_

Optional chaining for Python

## Installation

`python setup.py install`

## Usage

Call `if_()` with a Python expression, and chain attribute and item accessors on
the return value, ending with `._`. If the initial expression evaluates to
`None`, so will the whole chain; if not, each accessor will run normally but if
it fails the chain will return `None`.

In a boolean or equality test you can leave off the `._`.

## Examples

    In [1]: from if_ import if_

    In [2]: d = {
       ...:     'a': 123,
       ...:     'c': None,
       ...:     'd': {'this': 456},
       ...:     'l': [1, 2, 3],
       ...:     'f': lambda x: x * 11,
       ...: }

    In [3]: if_(None).anything._ is None
    Out[3]: True

    In [4]: if_(d).anything._ is None
    Out[4]: True

    In [5]: if_(d)['a']._ == 123
    Out[5]: True

    In [6]: if_(d)['c']['anything']._ is None
    Out[6]: True

    In [7]: if_(d)['l'][1]._ == 2
    Out[7]: True

    In [8]: if_(d)['l'][5]._ is None
    Out[8]: True

    In [9]: if_(d)['f'](4) == 44
    Out[9]: True