semvec/pypi-packages huggingface dataset:
resumejson-converter 0.3
A small package for convert json resume with templating to html and pdf

# JSON Resume Converter

A small package for convert json resume with templating to html and pdf.

WARNING: For the moment the filters are very specific to my template who is not
in this repo at this time.

WARNING: Many of thing in this code is only in French, like date generation,
phone number or some dates.

# Input

About the JSON resume standard: [https://jsonresume.org/schema/](https://jsonresume.org/schema/).

# Template

About the jinja2 template: [https://jinja.palletsprojects.com/en/2.10.x/](https://jinja.palletsprojects.com/en/2.10.x/)

# Output

PDF file generated in out folder where you launch the code.
dedupe-fh 1.9.7
A python library for accurate and scaleable data deduplication and entity-resolution

dedupe is a library that uses machine learning to perform de-duplication and entity resolution quickly on structured data. dedupe is the open source engine for `dedupe.io <https://dedupe.io>`_

**dedupe** will help you:

* **remove duplicate entries** from a spreadsheet of names and addresses
* **link a list** with customer information to another with order history, even without unique customer id's
* take a database of campaign contributions and **figure out which ones were made by the same person**, even if the names were entered slightly differently for each record

dedupe takes in human training data and comes up with the best rules for your dataset to quickly and automatically find similar records, even with very large databases.
redison 1.0a5
Shared memory object with redis and json files.
Requires Python: >=3

<p align="center">
  <img src="https://raw.githubusercontent.com/JeanMaximilienCadic/redison/master/img/redis.png"/>
</p>

# Redison : Redis + Json : Shared objects in memory using redis and json files

## Getting Started

## numpy

```bash
from redison import RedisObject
import numpy as np

array = np.random.rand(10)  # Set the object in python stack
print(array) # Retrieve the object from the stack
array = RedisObject(array)  # Set the object in redis
print(array.get())  # Retrieve the object from the redis database

```

## multiproc
Processus 1

```bash
from redison import RedisObject
import numpy as np

while True:
    # Push array1
    RedisObject(id="array1", data=np.random.rand(10))

    # Pull array2
    array2 = RedisObject(id="array2")

    # Wait for array1 to be set in redis by proc2
    print(array2.get(blocking=True)) 

```
Processus 2


```bash
from redison import RedisObject
import numpy as np

while True:
    # Push array2
    RedisObject(id="array2", data=np.random.rand(10))

    # Pull array1
    array1 = RedisObject(id="array1")

    # Wait for array1 to be set in redis by proc1
    print(array1.get(blocking=True)) 

```

## multiproc remote
Processus 1

```bash
from redison import RedisObject
import numpy as np

while True:
    # Create array2
    array1 = np.random.rand(10)

    # Push array2 
    RedisObject(id="array1",
                data=array1,
                host="10.1.0.2")

    # Pull array1
    array2 = RedisObject(id="array2", 
                         host="10.2.0.2")

    # Wait for array1 to be set on the remote machine 2
    print(array2.get(blocking=True)) 
```
Processus 2

```bash
from redison import RedisObject
import numpy as np

while True:
    # Create array2
    array2 = np.random.rand(10)

    # Push array2 
    RedisObject(id="array2",
                data=array2,
                host="10.2.0.2")

    # Pull array1
    array1 = RedisObject(id="array1", 
                         host="10.1.0.2")

    # Wait for array1 to be set on the remote machine 1
    print(array1.get(blocking=True)) 

```

## Contributions

Email me at j.cadic@9dw-lab.com for any questions.
mxmul-pkg-sy 0.1.0
An example for testing how to publish a Python package

#Markdown格式，自由编写，官方模板，使用，函数调用、效果及问题的说明
# Example Package

This is a simple example package. You can use
[Github-flavored Markdown](http://guides.github.com/features/mastering-markdown)
to write your content

~~yahaha~~