semvec/pypi-packages huggingface dataset:
wordlists 1.0.0
Utilities to download word lists in Python
License: MIT
Requires Python: >=3.9,<4.0

# wordlists

Utilities to download word lists in Python.

## Usage

```py
from wordlists import update_lists, read_words


# Update the word lists from the web
update_lists()

# Get the words from a list
words = read_words("dwyl_alpha")

# Filter words which are 27 characters
words = [w for w in words if len(w) == 27]

# Print the words
print(words)  # ['electroencephalographically', 'hydroxydesoxycorticosterone', 'microspectrophotometrically']
```
SqlMake 0.3.0
Command line tool to build a SQL schema
License: MIT
Requires Python: >=3.6

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SqlMake
#######

Command line tool that builds a SQL schema from a set of sql files.

Who needs SqlMake ?
===================

You will benefit from SqlMake if you are confortable with SQL and see the value
of defining your sql schemas (tables, stored functions, indexes, roles...)
directly in sql and not through an ORM system like the Django ORM, SqlAlchemy or
Hibernate to name a few.

What SqlMake allows you to do is to split your SQL schema accross multiples sql
files accurately defining **dependencies** which may exist in between such files by
mean of special SQL comments. When in need to recreate your database schema, the
**sqlmake** tool will collect all files resources that composes the schema,
parse them and emit the SQL commands they contain in optimal order so as to
respect the dependencies that have been defined. 

Once your schema has been split in between several files, it will be very easy
to read and maintain. If you archive it in a version control system like git,
subversion or mercurial it will also be very easy to prepare **migration**
scripts.

More documentation at : http://sqlmake.readthedocs.org/en/latest/