semvec/pypi-packages huggingface dataset:
statlorem 0.5.0
Fun and quirky Lorem Ipsum!
License: MIT
Keywords: markov lorem ipsum generator

# Statistical-Lorem
Bored of weird standard looking 'Lorem Ipsum'?
Obtain theme based random paragraphs!

Statistical Lorem allows you to specifify a theme, number of paragraphs, and length of paragraph:
```python
from lorem import ipsum
# Will generate 2 paragraphs with 60 words each.
print ipsum('scifi', 2, 60)
"""
Blessed! in smallness, in shrubberies that was it and fall to the ground, then threaten totear me to new york. he doesn't take me away." my nose was bending down, his rocket! itraverse a temple! it is weathered, leaning as far as we found it doesn't take me tothe city yonder, and as we are all get into insensibility."i am.

	Concernful sympathy, andin a world to think so, "it was the rest of course."it is taken; you learnt things you insist," he did investigate them."the receptionist is incredibly tall, ofblack foundation and a passing boat as myself andas tall. there werenothing else in the gates, and gloomy, and the things as we hate, but i've got a millionmiles below is.
"""
```

We currently only support 'scifi', and 'philosophy'.
If interest is shown I'll add more options.

## Instructions
Just copy the script lorem.py; you can clone the repo if necessary:
```sh
$ git clone https://github.com/jesuscast/speak-zarathustra.git
```

Now import the function 'ipsum' from the file (lorem.py):
```python
from lorem import ipsum
print ipsum('scifi', 2, 60)
```
nsequoter 1.0.0
Web scraping api for the National Stock Exchange of India. Retrives quotes for equities and equity futures from the NSE website.
License: MIT

nsequoter Documentation

=======================



:Author: Aditya Keida

:Version: 1.0.0

:Date: 7th Jul, 2016

:License: MIT



.. contents::





   



Motivation

----------



Python is fast becoming the programing language of choice for Quants 

and Data Analysts, and an easy way to fetch data from the most 

important sources is needed. The power and popularity of Python reside 

in the ability to reuse code on through over 40000 libraries and modules. 

That said, getting quotes from the National Stock Exchange of India (NSE) 

is quite hard in python, and most other languages for that matter.



nsequoter is a module that aims to make it trivially easy to get these 

quotes from the NSE, by simply reading the data off the exchange's website

http://www.nseindia.com and importing it into python. The current version 

Supports equity and equity futures. equity options and currency derivatives 

will be added in the next version. Indexes will follow after that.



Usage

-----

The simplest way to use the library is as follows::



  >>import nsequoter #imports the module and all the functions in it



  >>#to get a float value of the quote for '3M India'

  >>nsequoter.get_equity_quote('3MINDIA') #use the listed symbol as argument



  >>#to get a float value of the quote for '3M India' July futures

  >>nsequoter.get_futures_quote('3MINDIA', 'JUL') #use symbol and month as argument

	

Note that the arguments are not case sensitive. However, the symbol/code

should be as listed. Months can be entered as three letter months (String)

or their calendar number (Jul = 7, Aug = 8, etc.)



Futures contracts expire on the Thursday of each month. Queries after

that date will result in an exception.
checkmate 0.2.0
A meta-code checker written in Python.
License: MIT

Checkmate is a cross-language (meta-)tool for static code analysis, written in Python.
Unlike other tools, it provides a global overview of the code quality in a project and aims
to provide clear, actionable insights to the user.

Documentation
=============

The documentation can be found `here <https://docs.quantifiedcode.com/checkmate>`.

Source Code
===========

The source code can be found on `Github <https://github.com/quantifiedcode/checkmate>`.

Changelog
=========

* 0.2.0: Beta-release