pyparsing VS cookiecutter

After over a year since the last release of pyparsing, I've bundled up all the bug-fixes and changes, and they are now released as pyparsing 3.1.0. Visit this link for the details.

Look into "parser combinators" for building an interpreter. There's a few ones out there, but PyParsing is one I've seen around that looks pretty nifty.

I havent found a way to specify an exact character match in pyparsing - https://github.com/pyparsing/pyparsing/discussions/443

STDOUT: Lark or pyparsing

Since it is not mentioned in the article: Python users may also want to check out pyparsing [0]. It is slightly different from Parsec/FParsec (for instance, it ignores all whitespace by default), but I think it is a really good project.

[0]: https://github.com/pyparsing/pyparsing/

Here is the page of all the new changes and features in pyparsing 3.0.

Your pyparsing parser might benefit from a tune-up. This page has some performance tips: https://github.com/pyparsing/pyparsing/wiki/Performance-Tips.

If your SQL has fairly complex structure, you will need a full blown SQL parser. If your statements are mostly simple select, you can get pretty close with Pyparsing, here is an example.

Sometimes I use this to abstract boilerplate https://github.com/cookiecutter/cookiecutter

It can use a repo as a template.

It supports some interactive questions to choose options but mostly it is jinja templates.

Having libraries would be another option.

Install the cookiecutter package using the following command:

Consider taking a look at cookiecutter to generate projects from templates. There is also cookiecutter-django. As for your environment variables you should have an example .env file containing all the environment variables required by your project (without setting them) that can be safely pushed into your repository for you and other developers to copy into the actual .env file that'll be used by your project (add this file to .gitignore)

The Python Cookiecutter library revolutionizes project development by offering streamlined approach to creating template projects and improving developer experience.

We use cookie cutter templates (the Python project, https://github.com/cookiecutter/cookiecutter ), we prompt for the module & version etc

Why not use cookiecutter or a similar tool designed for making these sorts of project templates?

Is it common? I don't know. Is it useful? Absolutely. There is a tool called cookiecutter that allows you to define your own setup. For example, my cookiecutter setup for a python library is here. You can see what it's like by first installing the cookiecutter cli and then running

Also cookiecutter.

Visual Cookiecutter enhances the functionality of cookiecutter by offering unique features such as required fields, conditional input parameters, optional descriptions, and the ability to fix mistakes easily. This package seamlessly integrates with cookiecutter so that all existing templates work out-of-the-box.