semvec/pypi-packages huggingface dataset:
jsalesforce 0.3.3
This package contains useful functions to extract data and write data to Salesforce. It is designed for ETH juniors only
Requires Python: >=3.6

# jSalesforce

jSalesforce is the python library for accessing the ETH juniors Salesforce. It currently is a collection of useful functions gathered for the jupyter notebooks on jautomatio.ethjuniors.ch.

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install jSalesforce in development mode. First, copy the repo. The login for gitlab.ethz.ch is in the jWiki.

```bash
git clone "https://gitlab.ethz.ch/eth-juniors/jsalesforce"
```

Then install the package in development mode. This allows you to simply change the code or pull from gitlab without having to reinstall the package.

```bash
pip install --user -e jsalesforce
```

## Usage

To log in to Salesforce you need your username, password and security_token. This token can be obtained from the setup page from Salesforce. You get it by email and need to reset it if you loose it.
Credentials can be found on jautomation.ethjuniors.ch

```python
import jSalesforce

sf = jSalesforce.login(
    username="...",
    password="...",
    security_token="...",
)

# TODO: Show rest of the library
```
oli 0.0.21
One Liner Installer for Linux & MacOs
Requires Python: >=3.6

# Oli

Oli is a one liner installer aimed at easing you with the installation of everything you need on different platforms. With no packages needed

## Installation

Run `pip install oli`

or 

```Bash
git clone https://github.com/StanGirard/Oli
cd Oli
```

## Usage 

Run in your bash `oli`

or 

`python3 -m oli.run`

## Programs

### Linux

- Netdata

### Macos

-  Homebrew
-  Oh My Zsh
-  Xcode Command Line
-  Development Setup
skidtools 0.0.1a3
A small utility package to reduce boilerplate code in skid scripts
Requires Python: >=3.6

<p align="center">
    <a href="https://docs.clast.dev/skidtools">
    <img src="https://raw.githubusercontent.com/Abd0s/skidtools/master/brand_assets/cover_4.png"/>
</p>

<p align="center">
  <a href="https://travis-ci.org/Abd0s/skidtools"><img
    src="https://travis-ci.org/Abd0s/skidtools.svg?branch=master"
    alt="Travis CI"
  /></a>
  <a href="http://hits.dwyl.com/Abd0s/skidtools"><img
    src="http://hits.dwyl.com/Abd0s/skidtools.svg" 
    alt="Hits"
  /></a>
   <a href="https://www.gnu.org/licenses/gpl-3.0"><img 
    src="https://img.shields.io/badge/License-GPLv3-blue.svg" 
    alt="License"
  /></a>
  <a href="https://pypi.org/project/Skidtools/"><img 
    alt="PyPI" 
    src="https://img.shields.io/pypi/v/skidtools"
  /></a>
</p>

<p align="center">
  A collection of utilities and tools to rapidly develop CLI programs. It aims to get rid of boilerplate and aid skiddies.
</p>

## Prerequisites

Skidtools works with Python 3.6 or higher. Support for earlier versions of Python is not provided. Python 2.7 or lower is not supported. 

## Installation

While there are several ways of installing Skidtools, the recommended method is by using `pip` - the Python package manager.

### with pip recommended

Skidtools can be installed with `pip`:

``` sh
pip install skidtools
```

Documentation
-------------
https://docs.clast.dev/skidtools/

License
-------
Abd0s/skidtools is licensed under the [GNU General Public License v3.0](https://github.com/Abd0s/skidtools/blob/master/LICENSE)
read-lif 0.4.0
A Python module for loading lif file as numpy array
Requires Python: >=2.5

# read_lif

Load 3D confocal images from `lif` files as `numpy` arrays.

The code was originally written by Mathieu Leocmach in package [colloids](https://github.com/MathieuLeocmach/colloids).

## Install

- The most convenient way would be: `pip install read_lif`
- You can also Include the file `read_lif` in your project directory

## How to Use It

```python
import read_lif

reader = read_lif.Reader('lif_file.lif')
series = reader.getSeries()
chosen = series[0]  # choose first image in the lif file
# get a numpy array corresponding to the 1st time point & 1st channel
# the shape is (z, y, x)
image = chosen.getFrame(T=0, channel=0)
```
ctwavelet 1.0.5
A wavelet transform library based on Haar Lifting Scheme
Requires Python: >=3.6

# CT Wavelet Transform Library
[![Build Status](https://travis-ci.org/tahtaciburak/ctwavelet.svg?branch=master)](https://travis-ci.org/tahtaciburak/ctwavelet)  

A utility library for generating wavelet coefficients by using Haar Lifting Scheme.

## Installation
From PyPi:
```
pip install ctwavelet
```
From Source Code:
```
git clone https://github.com/tahtaciburak/ctwavelet
cd ctwavelet
pip install .
```

## Usage:
```python
from ctwavelet import LiftingScheme
ls = LiftingScheme.LiftingScheme()
ls.apply([0,1,2,3,4,5,6,7])

coeffs = ls.get_wavelet_coeffs()
print(coeffs)

inverse_coeffs = ls.inverse(coeffs)
print(inverse_coeffs)
```