SciPy Reviews and details

Social recommendations and mentions

• Intro to Ray on GKE

  The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 8 months ago

• Video Generation with Python

  Python has become a popular programming language for different applications, including data science, artificial intelligence, and web development. But, did you know creating and rendering fully customized videos with Python is also possible? At Stack Builders, we have successfully used Python libraries such as MoviePy, SciPy, and ImageMagick to generate videos with animations, text, and images. In this article, we... - Source: dev.to / about 1 year 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 / over 1 year ago

• Understanding Cosine Similarity in Python with Scikit-Learn

  SciPy: a library used for scientific and technical computing. It has a function that can calculate the cosine distance, which equals 1 minus the cosine similarity. - Source: dev.to / almost 2 years 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: almost 2 years ago

• 5 Open-Source Deep Learning Python Tools for Imaging Super-Resolution (Article)

  I mean scientific-grade Python libraries like https://pytorch.org https://numpy.org https://scipy.org etc, which exist for about 10 years (your comment may be ok in 2001, but now it's a bit outdated;). Source: over 2 years ago

• I'm learning Python for work. Thought it would be fun to revisit my undergrad days, so I coded this three-body simulation.

  If you are interested in doing numerical stuff in python you really need to look into numpy and scipy. Source: over 2 years ago

• flopt: powerful optimization modeling tool

  There are some optimization modeling tools, Pulp andScipy are known for linear programming (LP) modeling, CVXOPT and Pyomo for quadratic programming (QP). - Source: dev.to / over 2 years ago

• Best programming language for an upcoming doctor?

  Absolutely. Python has a boatload of high quality libraries to import, e.g. SciPy, PubChemPy, RDKit, Sci-kit-learn, Tesseract, etc. Source: almost 3 years ago

• Predicting the next element in a set?

  I didn't try to implement it in Matlab/Octave. I don't know of any good Python implementations. I am not sure if you are using theano, tflite, Numpy, scipy, or matplotlib. I haven't come across any Python implementations that are very good. Source: almost 3 years ago

• Univariate kernel density estimation

  Scipy: integration, optimization, and statistical functions. Source: almost 3 years ago

• Python in Action: Machine Learning

  2. SciPy is an open-source library that builds on NumPy with a range of algorithms for scientific computing applications. - Source: dev.to / almost 3 years ago

• Why You Should Use Python For Your Next Project

  Python package manager (pip) consists of over 300,000 packages. You can use libraries like ​​SciPy, which contains various modules for optimization, linear algebra, integration, and statistics, or Plotly, which you can use for scientific-quality graphing. The scope of problems that Python libraries address is vast. Rarely will you struggle to find the right library that will help you solve the problem. - Source: dev.to / about 3 years ago

• Python library for asynchronously writing audio files in chunks?

  Now, I'd like to discuss the stack. I'm currently using PyPy 3.8 for its speed of execution. To do the calculations, I'm using NumPy and SymPy. To further speed up and parallelize the calculations, I'm looking at incorporating Numba, but I'm open to alternative suggestions. As for writing and encoding the data, I understand that SciPy has a module that simplifies the encoding and writing of a NumPy array to an... Source: about 3 years ago

• Which programming language for working with functions?

  If you're looking for a free option, Python with SciPy borrows a lot of ideas from Matlab and definitely provides support for optimizing and gradient descent: https://docs.scipy.org/doc/scipy-1.8.0/html-scipyorg/reference/optimize.html. Source: about 3 years ago

• What language should I learn as an engineer?

  Maybe have a look at https://scipy.org/. Source: over 3 years ago

• Introduction to Python

  Science and mathematics using tools like scipy or Pandas. - Source: dev.to / over 3 years ago