Cheat sheet that summarizes #DataScience in 10 pages
(Links in the comments below 👇)

2/ Link to the cheatsheet by Maverick

Pandas is an amazing data analysis and manipulation library for python, Really popular when working with ML, Data science or more.

It has a robust data structure, Dataframe for manipulation and analyzing data.

Here's some tips to help you work better with pandas. Let's go! ↓

If you're not aware about what a Dataframe is, It's an optimized data structure for loading data, analysing it, manipulating data in it, and Mostly gathering insights.

It uses Cython backend which transpiles into C for optimized code.

Here's how a dataframe looks like,

Before we start, You need to ensure, you have pandas installed. If you don't, Do that before moving ahead!

Here are the tips, Let's go!

1/ Convert PD series to Dataframe

We all have struggled, when we deal with pandas series. It's always easier to work with Dataframes, rather than series. Here is how you can convert series to dataframe easily.

2/ How to create dummy Dataframe for testing

We always need dataframes for testing and analysing normally, if we do not have data ready. Here is how you can use Pandas API to generate different types of data.

Are you looking for ways to start Data Science and Machine Learning? 🤔

FREE Data Science & Machine Learning Resources 🧵👇

1️⃣ Machine Learning Course by Google
Level: Beginner
Link:

2️⃣ Kaggle Courses for Data Science, Machine Learning and others
Level: Mixed
Link:

3️⃣ Data Science by Edureka
Level: Beginner
Link:

4️⃣ Data Science by FreeCodeCamp
Level: Beginner
Link: