Thread by @svpino

One of the most useful Python libraries that you can learn is Pandas.

Especially if you want to build some skills in the data engineering or machine learning space, Pandas is crucial.

Here is what you need to know to get started right away. ↓

2. Pandas is an open-source library to analyze and manipulate data.

Some people even consider it the most powerful library to deal with data in any language!

3. A common way to use Pandas:

First, load a CSV file or a database table as a Python object.

Then, filter the data, aggregate it in any way you'd like, and do pretty much whatever you can imagine.

It's really powerful.

4. Here is a simple example:

• Creates a data frame object
• Prints it
• Computes the sum of a column
• Computes the mean of a column

Pandas implements many different functions that you can use out of the box.

5. Here is another example. It reads and filters a CSV file.

It doesn't get any easier than this!

Here are 25 pretty cool tricks with Python:

6. If you are ready to jump in:

• A quick tutorial: kaggle.com/learn/pandas

• A more in-depth tutorial:

• A serious course: coursera.org/projects/panda…

• And the Pandas official site with great documentation: pandas.pydata.org

Have fun!

It turns out that the Pandas course in Coursera doesn't exist anymore.

😱

There are different Pandas courses in Coursera, but I can't recommend them because I haven't watched them myself.