
Goodreads
LibraryThing
GoodBooks.io
Open Library
Hardcover
BookWyrm
BookAuthority
Letterboxd
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Matplotlib might be a bit more popular than Goodreads. We know about 114 links to it since March 2021 and only 113 links to Goodreads. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Goodreads.com allows you to browse recent releases. They have lists of books and a bit of code that can link you from one book to other similar books. Here are some lists to get you started: Middle-grade books published in 2023 (has all genres but the fantasy ones are easy to pick out) YA books published in 2023 (has all genres but the fantasy ones are easy to pick out) Most anticipated adult fantasy in 2023. Source: almost 3 years ago
Amazon has a website called goodreads.com that should give you some ideas. Source: about 3 years ago
I have also noticed that joining a readathon on goodreads.com or any other group activity helps to focus better for me. Source: about 3 years ago
Personally, I'll also recommend checking out what people say on Goodreads; I usually find the ratings a bit better on there than on Audible. Source: over 3 years ago
You can use a site like goodreads.com to make a note of the ones you've read, and give them ratings. You might also keep a journal, so you have it for yourself, on paper. Source: over 3 years ago
In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib — the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 6 months ago
Numbers are useful, but sometimes it’s easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 9 months ago
We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 10 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 11 months ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, A…. - Source: dev.to / 12 months ago
LibraryThing - A home for your books.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
GoodBooks.io - Largest curated collection of 8,500+ book recommendations.
NumPy - NumPy is the fundamental package for scientific computing with Python
Open Library - The ultimate goal of the Open Library is to make all the published works of humankind available to...
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.