Visual Studio Code Reviews

1. dksinden

   | Working at SpeechKit | over 4 years ago

SciPy Reviews

Visual Studio Code mentions (1035)

• 33 front-end development tools developers use in 2024

  According to the 2023 Stack Overflow developer survey, Visual Studio code remains the most preferred IDE among developers. - Source: dev.to / 3 days ago

• Setting up a React environment

  2.Code Editor: Select a code editor that matches your preferences. Popular options are Visual Studio Code, Sublime Text, and Atom. You can download Visual Studio Code here. - Source: dev.to / 4 days ago

• 9 tools, libraries and extensions our developer can't live without (and why)

  ‍VS Code just works, and the marketplace is great and while the software can get a bit degraded from time to time, even "bad state" is more than good enough. - Source: dev.to / 4 days ago

• Build your AI Travel Agent with GPT-4o using Python

  When working in Visual Studio Code (VS Code), always create a new Python file for your project. - Source: dev.to / 9 days ago

• How to Test Local Website on Mobile Devices

  So, to view a live preview of your local website or project on the phone, ensure your phone and desktop are connected to the same WiFi network. After this, install VS Code Editor if you don’t have and Live Server extension. - Source: dev.to / 9 days ago

SciPy mentions (16)

• 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 / 3 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

• 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 / about 1 year 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: about 1 year 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 1 year ago