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testing-libraries

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### Hi there, 👋🏼

Nice to see you here.

I guess you got here through one of my blogs. If this is the case, thanks for reading it. It's essential to me that I'm writing relevant content.

In this repository, you can find the libraries that I tested or still testing. Feel free to explore. If you have any questions or feedback, don't hesitate to contact me. So far, I have tested `PyForest`, `LazyPredict`, `Lux`, `PyCaret`, `TextBlob`, `TPOT`, `QuickDA`, and some others.

You will see some other folders with other libraries that I am working on it. Soon, they will be good to go.

Any questions or suggestions? Reach me out on my **[LinkedIn](https://www.linkedin.com/in/ismael-araujo/ "LinkedIn")**.

### Send me your suggestions

Finding cool libraries and learning how to use is a long process that requires a lot of research. Thus, if you have any cool recommendations, please let me know. I will save a lot of researching time.

#### Blogs:

Here are some of my most popular blogs about these libraries are the following ones:

| Blog  | URL  |
|:----------|:----------|
| [5 Python Libraries That You Don’t Know About, But Should](https://towardsdatascience.com/5-python-libraries-that-you-dont-know-but-you-should-fd6f810773a7)    | [Notebook](https://github.com/ismael-araujo/testing-libraries/blob/main/Other%20Libraries/Other_Libraries.ipynb)    |
| [How to Run 30 Machine Learning Models with a Few Lines of Code ](https://towardsdatascience.com/how-to-run-30-machine-learning-models-with-2-lines-of-code-d0f94a537e52)   | [Notebook](https://github.com/ismael-araujo/testing-libraries/blob/main/LazyPredict/titanic-micro-project-lazypredictor.ipynb)    |
| [3 Awesome Python Libraries That You Should Know About](https://towardsdatascience.com/3-awesome-python-libraries-that-you-should-know-about-e2485e6e1cbe)    | [Notebook 1](https://github.com/ismael-araujo/testing-libraries/blob/main/LazyPredict/titanic-micro-project-lazypredictor.ipynb), [Notebook 2](https://github.com/ismael-araujo/testing-libraries/blob/main/Lux/Vaccination-Progress-Analysis_Lux_API.ipynb)      |
| [How to Create Data Visualizations in Python With One Line of Code](https://towardsdatascience.com/how-to-create-data-visualizations-in-python-with-one-line-of-code-8cda1044fe69)   | [Notebook](https://github.com/ismael-araujo/testing-libraries/blob/main/QuickDA/QuickEDA_testing.ipynb)    |
| [How to Create Data Visualizations In Python With One Click](https://towardsdatascience.com/how-to-create-data-visualizations-on-python-with-one-click-f6bafbd8de54)    | [Notebook](https://github.com/ismael-araujo/testing-libraries/blob/main/Other%20Libraries/Other_Libraries.ipynb)    |
| [How to Run 40 Regression Models with a Few Lines of Code](https://towardsdatascience.com/how-to-run-40-regression-models-with-a-few-lines-of-code-5a24186de7d)    | [Notebook](https://github.com/ismael-araujo/testing-libraries/blob/main/LazyPredict/House_Price_Lazy_Predict.ipynb)    |
| [4 Cool Python Libraries That You Should Know About](https://towardsdatascience.com/4-cool-python-libraries-that-you-should-know-about-bea9619e481c)    | [Notebook 1](https://github.com/ismael-araujo/testing-libraries/blob/main/Other%20Libraries/comma.ipynb), [Notebook 2](https://github.com/ismael-araujo/testing-libraries/blob/main/QuickDA/QuickEDA_testing.ipynb)    |

#### Repo Navigation:
```
├── Lambda – Contains the notebook where I show how to use Lambda functions
├── LazyPredict – How to Run 30 Machine Learning Models with 2 Lines of Code
├── Lux – How to Create Data Visualizations On Python With One Click
├── PyCarat – New blog coming out soon
├── PyForest – How to Import All Python Libraries With One Line of Code
├── data – Contains the datasets that I used for the blogs
├── images – Contains the images used in the blg
├── .DS_Store – 
├── .gitignore
└── README.md
```

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