X (Twitter)
Facebook
Instagram
Reddit
Mastodon
Tumblr
Minds
YouTube
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
X (Twitter) MatplotlibPretty nice app to share and to see how the people share the thoughts here
Based on our record, X (Twitter) should be more popular than Matplotlib. It has been mentiond 906 times since March 2021. 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.
Then, and this is my personal favorite, go to Twitter slash X, where a genuinely absurd amount of the best UI work gets posted before it lands anywhere else. - Source: dev.to / 2 days ago
Of all the many ways to automate that redirect, https://einaregilsson.com/redirector/ isn't bad.- Source: Hacker News / 5 days agoRedirect: https://x.com/*.
Video posted in English on x.com, and below is the translated video URL in Hindi. - Source: dev.to / 2 months ago
# main.py Import time From datetime import datetime, timezone From config import HIRING_PHRASES, NICHE_TERMS From scraper import search_tweets, build_query From filter import is_real_hiring From storage import open_db, is_new, mark_seen SLACK_WEBHOOK = "https://hooks.slack.com/services/..." # optional Def notify(tweet: dict): user = tweet["user"]["username"] msg = ( f"*@{user}*... - Source: dev.to / 3 months ago
X status IDs (the trailing number in https://x.com//status/) are 64-bit Twitter snowflakes. The high bits encode a millisecond timestamp relative to a fixed Twitter epoch. The low bits are a worker ID and a sequence counter. The shape gives us four cheap, independent signals. - Source: dev.to / 3 months ago
In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ 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 / 5 months ago
Numbers are useful, but sometimes itโs 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 / 8 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 / 9 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 10 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, Aโฆ. - Source: dev.to / 11 months ago
Facebook - Connect with friends, family and other people you know. Share photos and videos, send messages and get updates.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Instagram - Instagram is a mobile, desktop, and Internet-based photo-sharing application and service that allows users to share pictures and videos either publicly, or privately to pre-approved followers.
NumPy - NumPy is the fundamental package for scientific computing with Python
Reddit - Reddit gives you the best of the internet in one place. Get a constantly updating feed of breaking news, fun stories, pics, memes, and videos just for you.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
