1.7) Upload Data in Github to Open in Google Colab

1.1) Why Python?

1.2) Why run Python code in Google Colab?

1.3) Why learn Python in DataCamp?

1.4) Why learn Python in Dataquest?

1.5) Introduction to Markdown in Google Colab

1.6) Learn Latex in Google Colab

1.7) Upload Data in Github to Open in Google Colab

2.1) NumPy: Data Types

2.2) NumPy: Creating Array

2.3) NumPy: Increment Operator

2.4) NumPy: Mean, Standard Deviation

3.1) Pandas: Introduction to Series

3.2) Pandas: DataFrame

3.3) Pandas: Reading Excel Files in Google Colab

3.4) Pandas: Reading CSV or Text Files in Google Colab

3.5) Pandas: Merging Dataframes

3.6) Pandas Concatenate or Append Function

3.7) Pandas: Pivoting from "Long" to "Wide" Format

3.8) Pandas: Mean of a Variable with Conditions

3.9) Pandas: Recode Categorical Variable

3.10) Pandas: Filter Columns and Rows

3.11) Load Excel/CSV Files into Google Colab

4.1) Matplotlib: Introduction

4.2) Matplotlib: Boxplot and Histogram

4.3) Matplotlib: Scatterplot

4.4) Matplotlib: Figure vs Axis

5.1) Plotly: Dynamic Scatterplot with Clusters

5.2) Plotly: Dynamic Histogram with Vertical Line

5.3) Plotly: Bar Chart

6.1) Python: Function, Conditional Statement, Data Transformation

6.2) Python: Loop over List, String, Dictionary, and Numpy Array

6.3) Fibonacci: Recursion vs Loop

6.4) Python: Loop to Simulate Coin Tosses

6.5) Python Loop, List Comprehension, and Lambda Function

6.6) Python: *args vs **kwargs

6.7) What the Arrow Means in Python Function Definition?

7.1) Everything in Python is an Object

7.2) Learn How to Create a Class in Python

8.1) DataCamp Signal Assessment: Python Programming

[andrewburke]

This helped me a ton for creating a Dataquest project in colab, thank you!

[tellmesomethingsweet]

Somehow I couldn't find the raw icon on my screen but there was a Download button instead, and it gives the same link so fyi