Mito is a JupyterLab extension that enables exploring and transforming datasets with the ease of Excel… and it’s FREE.

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Meet Mito

Getting Started

A short tutorial on how to visualize correlation with pandas without third-party plotting packages.

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Is there a better way?

I decided to do a bit of research, because of the frequency I use this command,— there has to be a better (quicker) way of visualizing correlation in Python. Voila, and there is…


Where do wage disparities occur (and what to do about it)

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A 3-step tutorial on how to migrate your ML model to Java, Go, C++ or any other language. It’s easier than you may think.

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Python is evolving — don’t get complacent

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  • A better way to work with file paths
  • The proper way of string formating

The missing guide for stream processing with Apache Flink.

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Working from home has its challenges. I use these 7 tips to overcome them.

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Working from home (WFH) is not for everyone. Some feel more productive while others dream about returning to the office.

When I started constantly working during the weekends, I decided it’s time for a change. I analyzed my working routine and slowly started changing it.

For each mistake, there’s a proper solution

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Start using Pandas the way it is intended to be used. Use these 5 tricks to improve pandas code.

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Before we start, let’s create a sample DataFrame on which these tips are based:

import pandas as pddf = pd.DataFrame({"col1": ["A0"…

These tips will help you when you need to share your analysis with others

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Let’s create a DataFrame 10 rows and 3 columns with random values.

n = 10
df = pd.DataFrame(

Roman Orac

Senior Data Scientist. Views are my own. Get my free How NOT to write pandas code course ->

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