GitZip
Board for Github
Refined GitHub
GitHub Hovercard
DownGit
Enhanced GitHub
GitHub Folder Downloader
DopeUI
Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
GitZip PandasPandas 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.
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Based on our record, Pandas seems to be a lot more popular than GitZip. While we know about 219 links to Pandas, we've tracked only 2 mentions of GitZip. 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.
If you don't want to trust a link from a stranger then you could use https://kinolien.github.io/gitzip/ where you can put the URL of a github folder and it'll give you a zip of the contents, so if you want the belle dark sub mod then you would paste in: https://github.com/Historical-Expansion-Mod/Greater-Flavor-Mod/blob/master/GFM%20Belle%20Dark.mod. Source: almost 3 years ago
Yeah, on GitHub there's no download directory button or something like this. You could for example use GitZip to download it zipped, just paste URL to that directory in there and download. Source: about 4 years ago
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
Board for Github - A webview based GitHub project app with native features
NumPy - NumPy is the fundamental package for scientific computing with Python
Refined GitHub - Browser extension that makes GitHub cleaner & more powerful
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
GitHub Hovercard - GitHub Hovercard provides neat hovercards for GitHub.
OpenCV - OpenCV is the world's biggest computer vision library