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Based on our record, NumPy seems to be a lot more popular than No More Google. While we know about 107 links to NumPy, we've tracked only 8 mentions of No More Google. 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.
A useful crowd-sourced resource for finding Google alternatives: https://nomoregoogle.com/. Source: about 1 year ago
My point is more to introduce alternatives to Google. They’ve proven they have little regard for the privacy of their users. Source: over 1 year ago
Https://nomoregoogle.com/ Privacy-friendly alternatives to Google that don't track you. Source: over 1 year ago
Each step you take to be more private helps. The simplest you can do is use less Big Tech products. For example, stop using Chrome and use Firefox instead, stop Google search and use Startpage or Duckduckgo, stop Google Maps and use OpenStreetMaps, stop GMail and use e.g. ProtonMail etcA larger list of alternatives is available at https://nomoregoogle.com/Then, you can start by using popular open-source software... Source: almost 2 years ago
Nomoregoogle.com provides a list of alternatives to get you started. Source: over 2 years ago
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / about 2 months ago
Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / 2 months ago
Numpy: A library for scientific computing in Python. - Source: dev.to / 5 months ago
Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 6 months ago
A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 7 months ago
PrivacyAngel - FInd out how to protect your privacy across platforms 🕵
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
DuckDuckGo - The Internet privacy company that empowers you to seamlessly take control of your personal information online, without any tradeoffs.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Naughty List - Tech companies that won't delete your information
OpenCV - OpenCV is the world's biggest computer vision library