semvec/pypi-packages huggingface dataset:
webdriver-start 1.1.0
Reliable module for starting up Selenium Webdriver, with custom user-agent and custom profile
License: MIT
Keywords: selenium webdriver development

# webdriver-start
Reliable module for starting up Selenium Webdriver with custom modifications. Supports —
- Custom `user-agent`
- Custom user profile.
- Headless mode.
- Firefox and Chrome webdrivers. Open an issue if you want support for more.


## Installation
Install it using pip —

```console
$ pip install webdriver-start
```

## Usage

For Chrome
```python
>>> from wdstart import webdriver
>>> driver = webdriver.Chrome(headless=True, user_agent='this is a custom user-agent', user_profile='/path/to/profile/')
>>> driver
<selenium.webdriver.chrome.webdriver.WebDriver (session="46157cffe549da015b288cdabea94a29")>
>>> driver.get('http://www.google.com')
>>> driver.title
'Google'
>>> driver.execute_script('return navigator.userAgent')
'this is a custom user-agent'
```

Similarly, for Firefox
```python
>>> from wdstart import webdriver
>>> driver = webdriver.Firefox(headless=True, user_agent='this is a custom user-agent', user_profile='/path/to/profile/')
>>> driver
<selenium.webdriver.chrome.webdriver.WebDriver (session="46157cffe549da015b288cdabea94a29")>
>>> driver.get('http://www.google.com')
>>> driver.title
'Google'
>>> driver.execute_script('return navigator.userAgent')
'this is a custom user-agent'
```
cgatshowcase 0.1.9
cgatshowcase : the Computational Genomics Analysis Toolkit example pipeline/workflow
License: MIT
Keywords: computational genomics

# cgat-showcase

cgat-showcase is a repository containing an example pipeline constructed to demonstrate how the [cgat-core](https://github.com/cgat-developers/cgat-core) workflow management system can be used to create common workflows required in bioinformatics analysis.

Within this repository is an example [pipeline](https://github.com/cgat-developers/cgat-showcase/blob/master/cgatshowcase/pipeline_transdiffexprs.py) `pipeline_transdiffexprs.py` that performs pseudoalignment of fastq files
with [kallisto](https://pachterlab.github.io/kallisto/about.html) and differential expression using [DESeq2](https://www.bioconductor.org/packages/release/bioc/html/DESeq2.html). It can be run locally on your own machine or distributed across a cluster depending on your requirements.

Documentation on how to run this pipeline can be found [here](https://cgat-showcase.readthedocs.io/en/latest/) and documentation on how
to build your own custom workflow from scratch can be found [here](https://cgat-core.readthedocs.io/en/latest/defining_workflow/Tutorial.html).

Installation
------------

The following sections describe how to install the cgat-showcase pipeline.

We recommend installing using conda and the steps are described below::

   `conda install -c cgat cgatshowcase`

Alternatively, the pipeline can be installed using pip::

   `pip install cgatshowcase`

However, you will require certain software to run the pipeline. More detail on installation can be found on the [Installation](https://cgat-showcase.readthedocs.io/en/latest/getting_started/Installation.html) documentation.