Rohith GillaHey, everyone. I hope you find this post interesting and useful.
For devs who are new here, please check out my previous posts in the series, I feel you will definitely include them your arsenal.
Let's get things started 💨
As a ritual we follow in the series, we discuss three libraries in the post.
Let's see a glance on their names 👀
- Bokeh
- Chartify
- Falcon
Let's dive deep 🌊
Bokeh
Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming datasets. Bokeh can help anyone who would like to quickly and easily make interactive plots, dashboards, and data applications.
Chartify
Chartify is a Python library that makes it easy for data scientists to create charts.
Consistent input data format: Spend less time transforming data to get your charts to work. All plotting functions use a consistent tidy input data format.
Smart default styles: Create pretty charts with very little customization required.
Flexibility: Chartify is built on top of Bokeh, so if you do need more control you can always fall back on Bokeh's API.
Chartify is from Spotify
Falcon
Falcon is a blazingly fast, minimalist Python web API framework for building reliable app backends and microservices. The Falcon web framework encourages the REST architectural style. Resource classes implement HTTP method handlers that resolve requests and perform state transitions.
Falcon complements more general Python web frameworks by providing extra performance and flexibility wherever you need it.
TBH Falcon is really great. There is this comparison on the website which captured my eyeballs 👇.
That's all for this week. See you all next week 🙌🏻.
Peace ✌🏻,
Rohith Gilla
