### Install ppdeep from Git

Source: https://github.com/elceef/ppdeep/blob/master/README.md

Install the latest version of ppdeep directly from its Git repository. This involves cloning the repository and then installing it locally.

```bash
$ git clone https://github.com/elceef/ppdeep.git
$ cd ppdeep
$ pip install .
```

--------------------------------

### Install ppdeep using pip

Source: https://github.com/elceef/ppdeep/blob/master/README.md

Install the ppdeep library using pip for standard package management.

```bash
$ pip install ppdeep
```

--------------------------------

### Compute Fuzzy Hash from File

Source: https://github.com/elceef/ppdeep/blob/master/README.md

Use the `hash_from_file()` function to compute the fuzzy hash of a file's content by providing the filename.

```python
>>> ppdeep.hash_from_file('.bash_history')
'1536:EXM36dG36x3KW732vOAcg3EP1qKlKozcK0z5G+lEPTssl/7eO7HOBF:tKlKozcWT0'
```

--------------------------------

### Compare Fuzzy Hash Similarity

Source: https://github.com/elceef/ppdeep/blob/master/README.md

Use the `compare()` function to calculate the similarity score between two fuzzy hashes. The score ranges from 0 (no match) to 100 (perfect match).

```python
>>> ppdeep.compare(h1, h2)
34
```

--------------------------------

### Compute Fuzzy Hash for a String

Source: https://github.com/elceef/ppdeep/blob/master/README.md

Use the `hash()` function to compute the fuzzy hash of a given string. This is useful for comparing text similarity.

```python
>>> import ppdeep
>>> h1 = ppdeep.hash('The equivalence of mass and energy translates into the well-known E = mc²')
>>> h1
'3:RC0qYX4LBFA0dxEq4z2LRK+oCKI9VnXn:RvqpLB60dx8ilK+owX'
>>> h2 = ppdeep.hash('The equivalence of mass and energy translates into the well-known E = MC2')
>>> h2
'3:RC0qYX4LBFA0dxEq4z2LRK+oCKI99:RvqpLB60dx8ilK+oA'
```

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