Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
GitHub Pages
Vercel
Jekyll
Netlify
surge.sh
Neocities
Hugo
Cloudflare Pages
Pandas GitHub PagesPandas 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, GitHub Pages should be more popular than Pandas. It has been mentiond 495 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 1 month 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
A working site hosted on GitHub Pages. - Source: dev.to / 25 days ago
The documentation is built with MkDocs and hosted on GitHub Pages. You can browse the complete documentation at carpet.jerolba.com. - Source: dev.to / 29 days ago
Upload your folder to Netlify, GitHub Pages, or Vercel — and boom, your portfolio is online! - Source: dev.to / 29 days ago
Here is the link to my portfolio, generated by lovable.dev and hosted on GitHub Pages. - Source: dev.to / about 1 month ago
GitHub Pages - platform provided by GitHub, the leading company that provides source code hosting. The service is well-known among many software developers. - Source: dev.to / about 2 months ago
NumPy - NumPy is the fundamental package for scientific computing with Python
Vercel - Vercel is the platform for frontend developers, providing the speed and reliability innovators need to create at the moment of inspiration.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Jekyll - Jekyll is a simple, blog aware, static site generator.
OpenCV - OpenCV is the world's biggest computer vision library
Netlify - Build, deploy and host your static site or app with a drag and drop interface and automatic delpoys from GitHub or Bitbucket
