# Tools are to be used! 


There are already hundreds maybe thousands of tools for python that are already programmed for you to use via an import. Here are a collection of such wonderful tools for you to potentially use in your next coding project. While  I attempt  to further explore some new  tools, other more intelligent  people than I have already explained many modules such as Doug Hellman  who created[ Python 3 Module of the Week](https://pymotw.com/3/). 


- A multi-purpose[ visual editor ](multi-purpose visual editor to connect Python functions visually (a node editor))to connect Python functions visually
- BE LAZY, don't type the same over and over again - code generate instead with cookiecutter. 
- an easy way to[ build and deploy ML microservices](https://github.com/unionai-oss/unionml)
- A good how-to of[ Django steps ](https://brntn.me/blog/six-things-i-do-every-time-i-start-a-django-project/)
- [Asyncio](https://docs.python.org/3/library/asyncio.html) is super crucial 
	- is it something [you should use](https://www.laac.dev/blog/should-you-use-asyncio-next-python-web-application/)? 
- A pretrained [language model.](https://github.com/yandex/YaLM-100B) with 100B parameters!
- Using [pandas](obsidian://open?vault=Coding%20Tips&file=Python%2Ftools%2FPandas%20tips) and seaborn in jupyter is crucial 
- here are some numpy tips 
- At the heart of any analysis project is a good set of labeled data, Make sure to use annotations with [tortus](https://towardsdatascience.com/tortus-e4002d95134b).