Google VS Matplotlib

Google Reviews

1. Moniza    

   3 months ago
   Exploring Google: A comprehensive review of the search giant

   Google has been an integral part of my digital life for many years. Its search engine is unparalleled in its ability to fine relevant information quickly and accurately. The user-friendly interface and wide range of services make it a go- to for everything from email to navigation.

   🏁 Competitors: Bing, Yahoo, DuckDuckGo

   👍 Pros:    Google's search engine consistently delivers highly relevant results

   👎 Cons:    Google's data collection practices have raised privacy concerns among users, as the company collects vast amounts of personal information for targeted advertising.
2. Maham    

   5 months ago
   My Search Companion

   Google is the most reliable source for me to find the correct information. Its user-friendly interface and speedy results make searching much easier. From answers to random questions and finding locations, Google has never let me down. Its the first app I turn to when I need information. Highly recommended

   👍 Pros:    Feature rich|Speedy performance|Intuitive user interface

   👎 Cons:    Minor glitches|Ads
3. The Lead Market    

   over 1 year ago
   Best Search Engine

   Best Search Engine

Matplotlib Reviews

Google mentions (3692)

• Selenium and AI: UI Validations with AI

  WebDriverManager.chromedriver().setup(); ChromeOptions options = new ChromeOptions(); options.addArguments("--headless"); // Setting headless mode options.addArguments("--disable-gpu"); // GPU hardware acceleration isn't useful in headless mode options.addArguments("--window-size=1920,1080"); // Set the window size WebDriver driver = new ChromeDriver(options); ... - Source: dev.to / 2 days ago

• Ever Wondered What Happens When You Type google.com in your browser?

  If you’re still reading, I’ll assume you want to know more. We will get a little more technical (Not too much, hopefully). When you type google.com into your browser, your browser needs to know Google’s address. Address?, yes websites live at specific addresses. You can think of the internet as a network of roads for that link computers together. If you wanted to go to the mall, you would get on the road and... - Source: dev.to / 22 days ago

• How to scrape a website with Python (Beginner tutorial)

  Url = 'https://google.com' Response = requests.get(url). - Source: dev.to / about 2 months ago

• Google has another secret browser accessible by a link

  But you can open links in messages. So put https://google.com in a message and open it. - Source: Hacker News / 3 months ago

• The basics of WebDev'in: Client/Server Architecture

  What you are seeing is a common representation of "you using your browser(Google chrome, Mozilla Firefox, Safari etc..)". Let's say you are searching down the internet for images of cute baby cats. To satisfy your eager you could go to https://google.com and in the search bar type "cute baby cats" and click on the "images button" to see images, not text. - Source: dev.to / 3 months ago

Matplotlib mentions (98)

• Implementing semantic image search with Amazon Titan and Supabase Vector

  Matplotlib: for displaying our image result. - Source: dev.to / 14 days ago

• Releasing The Force Of Machine Learning: A Novice’s Guide 😃

  Matplotlib: Acomprehensive library for creating static, animated, and interactive visualizations in Python. - Source: dev.to / about 2 months ago

• How to retrieve and analyze crypto order book data using Python and a cryptocurrency API

  Data visualization: utilizing Python's Matplotlib for visualizing order book information. - Source: dev.to / 5 months ago

• Ask HN: What plotting tools should I invest in learning?

  For random, quick and dirty, ad-hoc plotting tasks my default is GNUPlot[1]. Otherwise I tend to use either Python with matplotlib, or R with ggplot2. I keep saying I'm going to invest the time to properly learn D3[4] or something similar for doing web-based plotting, but somehow never quite seem to find time to do it. sigh [1]: http://www.gnuplot.info/ [2]: https://matplotlib.org/ [3]:... - Source: Hacker News / 9 months ago

• PSA: You don't need fancy stuff to do good work.

  Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: 12 months ago