Data with Python | Incognition

Data with Python

Work with real data in Python — NumPy arrays, pandas tables, cleaning, summarising and charts — the everyday tools every machine learning project starts with.

0% completed

0 done56 lessons

Why Not Just Use a List?

Shape, Size and Dimensions

One Type Per Array

Maths on Every Element at Once

How NumPy Prints Numbers

Indexing and Slicing

Filtering With True and False

Grades as an Array

Rows Are Samples, Columns Are Features

Along Which Direction?

When Shapes Don't Fit

Randomness With a Seed

Dot Products and @

Distances and Norms

Scale Every Feature

From a List of Dictionaries to a DataFrame

Look Before You Change Anything

A Column Is a Series

Adding and Changing Columns

Three Questions About a Dataset

Finding What's Missing

Filling or Dropping

Removing Duplicates

Fixing Wrong Types

Cleaning Text Columns

Dates in a Column

Spotting Outliers

Categories Into Numbers

Clean a Messy Survey

Group and Summarise

Counting Categories

Joining Two Tables

Stacking Tables

Rolling Averages

Reading Excel Files

Build a Report Table

Why Look at All?

Figure and Axes

Plotting Straight From pandas

Statistical Plots With seaborn

A Correlation Heatmap

Explore a Real Dataset