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✏️ rst

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Installation
============

This installs a package that can be used from Python (``import charset_normalizer``).

To install for all users on the system, administrator rights (root) may be required.

Using PIP
---------
Charset Normalizer can be installed from pip::

pip install charset-normalizer

You may retrieve the latest unicodedata backport as follow::

pip install charset-normalizer[unicode_backport]

From git via master
-----------------------
You can install from dev-master branch using git::

git clone https://github.com/Ousret/charset_normalizer.git
    cd charset_normalizer/
    python setup.py install

Basic Usage
===========

The new way
-----------

You may want to get right to it. ::

from charset_normalizer import from_bytes, from_path

# This is going to print out your sequence once properly decoded
    print(
        str(
            from_bytes(
                my_byte_str
            ).best()
        )
    )

# You could also want the same from a file
    print(
        str(
            from_path(
                './data/sample.1.ar.srt'
            ).best()
        )
    )

Backward compatibility
----------------------

If you were used to python chardet, we are providing the very same ``detect()`` method as chardet.
This function is mostly backward-compatible with Chardet. The migration should be painless.

from charset_normalizer import detect

# This will behave exactly the same as python chardet
    result = detect(my_byte_str)

if result['encoding'] is not None:
        print('got', result['encoding'], 'as detected encoding')

You may upgrade your code with ease.
CTRL + R ``from chardet import detect`` to ``from charset_normalizer import detect``.

Batal

⬅ docs 6 item

Nama	Tipe	Ukuran	Diubah	Aksi
📄advanced_search.rst	rst	2.7 KB	2024-10-09 06:13	✏️ 👁️
📄cli.rst	rst	3.6 KB	2024-10-09 06:13	✏️ 👁️
📄getstarted.rst	rst	1.7 KB	2024-10-09 06:13	✏️ 👁️
📄handling_result.rst	rst	595 B	2024-10-09 06:13	✏️ 👁️
📄miscellaneous.rst	rst	2 KB	2024-10-09 06:13	✏️ 👁️
📄support.rst	rst	6.9 KB	2024-10-09 06:13	✏️ 👁️

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