Rackspace Reviews

NumPy Reviews

Rackspace mentions (2)

• new phone activation issues

  On the phone with Verizon now (6:04pm EST 3/1) and was just told another 24 hours. I'm also in IT and if this has been going on for over 24 hrs already and is project for another 24 hrs something BAD is going on. Ransomware????? This is how the rackspace.com ransomware attack went down in Dec, 24hrs, 24hrs, more hours, bigger issue.... Source: about 1 year ago

• Question about AD Directory Sync for o365

  I've heard a lot about BitTitan but have never used it. And yeah, most of my migrations have been an onsite exchange server to the o365 cloud and go really smooth. The others are usually some free email that comes with the webhost, like rackspace.com email where the owner who has 5-10 employees waited until they were hacked before switching over. Or they finally realize that they don't look like a legitimate... Source: almost 2 years ago

NumPy mentions (107)

• Element-wise vs Matrix vs Dot multiplication

  In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 3 months ago

• JSON in data science projects: tips & tricks

  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 / 3 months ago

• Introducing Flama for Robust Machine Learning APIs

  Numpy: A library for scientific computing in Python. - Source: dev.to / 6 months ago

• A Comprehensive Guide to NumPy Arrays

  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 / 7 months ago

• Beginning Python: Project Management With PDM

  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 / 8 months ago