Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
Vercel
Next.js
Netlify
GitHub Pages
Heroku
Tailwind CSS
Render
Railway
Pandas VercelPandas 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.
Based on our record, Vercel should be more popular than Pandas. It has been mentiond 601 times since March 2021. 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
Before going to the Flutter code, publish this code to GitHub. Then open vercel.com, connect your repository, and deploy it. - Source: dev.to / 18 days ago
Create an account at Vercel with GitHub and authorize Vercel to see your private repo(s). - Source: dev.to / 27 days ago
Upload your folder to Netlify, GitHub Pages, or Vercel — and boom, your portfolio is online! - Source: dev.to / about 1 month ago
For deployment, you can host your server on platforms like Heroku and Vercel. Both platforms offer free tiers, making it easy to deploy your REST API. - Source: dev.to / about 1 month ago
ArNext is a NextJS-based framework that lets you deploy the same codebase both on Vercel and Arweave. - Source: dev.to / about 1 month 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.
Netlify - Build, deploy and host your static site or app with a drag and drop interface and automatic delpoys from GitHub or Bitbucket
OpenCV - OpenCV is the world's biggest computer vision library
GitHub Pages - A free, static web host for open-source projects on GitHub
