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PYTHON

Here is my take on this cool Python library and why you should give it a try

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A few weeks ago, I posted a blog about Bamboolib that became quite popular. The blog was very well received, achieving tens of thousands of views in the first week. And after that, I had planned to write about other Data Science-related subjects and was going to avoid writing about…

PYTHON

Here is my take on this cool Python library and why you should give it a try

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I love writing about Python libraries. If you have read any of my blogs, you might know I have written about multiple libraries. Before writing, I test some Python libraries, check their most remarkable features, and, if I like, I write about them. Usually, I try to include a few…

PYTHON

Discover 5 Python libraries that you should start using right now

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One of the best things about using Python is its infinity of open-source libraries. There is a library for basically anything. If you have read some of my previous blogs, you may have noticed that I’m a big fan of low-code libraries. That’s not because I’m lazy to type code…

PYTHON

These are some of the coolest less known Python libraries that you probably don’t know about, but should

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I’m a big fan of Python libraries, and I really enjoy them. In fact, some of my most popular blogs are about Python libraries. They have the power to turn hours of work and countless lines of code into two or three, and the best part: they are free. However…

ARTIFICIAL INTELLIGENCE

Looking for a dataset for your next project? This website is the right place!

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One of the most important things for those who want to break into Artificial Intelligence is practicing what you have learned. You can take the best Data Science, Machine Learning, or AI courses in the market, but if you don’t practice your skills with projects, you will not be able…

PYTHON

Save hours on your next project with Pandas Profiling

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Let’s imagine that you have to do an exploratory data analysis. Where do you start? You load the dataset, print the data, look for the number of observations, data types, missing values, duplicated values, and statistics summarization. Then, you perhaps need to create a few data visualizations to understand better…

PYTHON

Which of these libraries perform better when compared to each other?

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Data visualization is one of the most critical steps of any project. Data visualizations have the power to translate complex information into an easy-to-digest chart. The more you use charts in your projects, the better you can present insights to non-technical individuals.

Whether you are a beginner or have years…

Ismael Araujo

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