Fiverr VS NumPy

Fiverr Reviews

NumPy Reviews

Fiverr mentions (13)

• Navigating Remote Opportunities for Engineers and Tech Leaders

  Fiverr - Great for starting your freelance journey. - Source: dev.to / 6 months ago

• Any place to get laptop cases or get them made? (Think phone-style hard-cases)

  I think something 3D printed is your best bet. Go to fiverr.com or some other website and find someone to design it and find a 3D printing station near you. Source: 11 months ago

• This side gig has worked for me in the last 4/5 months and still bringing in $300 to $500 per week.

  Take that design and find a designer on fiverr.com that would create a design that's similar to what you picked from Dribbble. Try to find someone that would cost you somewhere between $100 and $150 (you can get nice designs at that price). Source: about 1 year ago

• A Guideline for Emerging Data Scientists

  8) Be on a look out for the job listings. LinkedIn is a really good platform. Similarly, another excellent source is Glassdoor, which has a plethora of ads for jobs in data science, machine learning and other related fields. For freelancing career, Upwork, Fiverr, Freelancer , and Toptal provide a good framework. - Source: dev.to / over 1 year ago

• June Earnings Report (£735.64)

  Fiverr (ref-link) non-ref 'connects businesses with freelancers offering digital services in 300+ categories'. Source: over 1 year 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 / 2 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 / 5 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 / 7 months ago