Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
Nuxt.js
Next.js
Tailwind CSS
Vue.js
React
Svelte
Bootstrap
Vercel
Pandas Nuxt.jsPandas is particularly recommended for data scientists, analysts, and engineers who need to perform data cleaning, transformation, and analysis as part of their work. It is also suitable for academics and researchers dealing with data in various formats and needing powerful tools for their data-driven research.
Pandas might be a bit more popular than Nuxt.js. We know about 219 links to it since March 2021 and only 149 links to Nuxt.js. 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.
Libraries for data science and deep learning that are always changing. - Source: dev.to / about 2 months ago
# Read the content of nda.txt Try: Import os, types Import pandas as pd From botocore.client import Config Import ibm_boto3 Def __iter__(self): return 0 # @hidden_cell # The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. # You might want to remove those credentials before you share the notebook. Cos_client = ibm_boto3.client(service_name='s3', ... - Source: dev.to / 2 months ago
As with any web scraping or data processing project, I had to write a fair amount of code to clean this up and shape it into a format I needed for further analysis. I used a combination of Pandas and regular expressions to clean it up (full code here). - Source: dev.to / 2 months ago
Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 4 months ago
This tutorial provides a concise and foundational guide to exploring a dataset, specifically the Sample SuperStore dataset. This dataset, which appears to originate from a fictional e-commerce or online marketplace company's annual sales data, serves as an excellent example for learning and how to work with real-world data. The dataset includes a variety of data types, which demonstrate the full range of... - Source: dev.to / 10 months ago
In recent years, projects like Vercel's NextJS and Gatsby have garnered acclaim and higher and higher usage numbers. Not only that, but their core concepts of Server Side Rendering (SSR) and Static Site Generation (SSG) have been seen in other projects and frameworks such as Angular Universal, ScullyIO, and NuxtJS. Why is that? What is SSR and SSG? How can I use these concepts in my applications? - Source: dev.to / over 1 year ago
One reason to opt for server side rendering is improved SEO, so if this is especially import for your project you could have a look at for instance https://remix.run/ or https://nextjs.org/ for react or https://nuxtjs.org/ if you use Vue. Source: about 2 years ago
Well nuxtjs.org work smooth on ios 12, maybe you didn't understand what I'm talking about. Source: about 2 years ago
E.g. Most nuxtjs.org documentation is Nuxt 2 and therefore Vue 2, while nuxt.com documentation is always Nuxt 3 and therefore Vue 3. Source: about 2 years ago
For detailed explanation on how things work, check out the documentation. - Source: dev.to / about 2 years ago
NumPy - NumPy is the fundamental package for scientific computing with Python
Next.js - A small framework for server-rendered universal JavaScript apps
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Tailwind CSS - A utility-first CSS framework for rapidly building custom user interfaces.
OpenCV - OpenCV is the world's biggest computer vision library
Vue.js - Reactive Components for Modern Web Interfaces