Python’s visualization landscape in 2018 ( source ). Python has a vast ecosystem of visualization tools it can be hard to pick the right one. You might wonder which Python data visualization library you should learn or use for a given project. It offers over 140 exercises to improve your Python skills and practice loading, transforming, and visualizing data. If you want to use Python to get insights from data, check out our Introduction to Python for Data Science course. It is versatile, needs little maintenance, and can access almost any available data source. Python, the number one language in data science, offers a better way. Many require setting up, maintaining, and using elaborate BI tools with limited capabilities. There are many paths to learning and practicing data visualization. You can benefit from it in your career and use it to pivot toward a data-focused role.

It helps you to find insight into data and to communicate your findings to less technical audiences.

Which Python library should you pick for data visualization? Read on to see our assessment!ĭata visualization is an increasingly valuable skill, one that’s sought after in many organizations.

Best data visualization tools of 2018