Based on our record, Pandas should be more popular than DevDocs. It has been mentiond 219 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 / 16 days 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 / about 1 month 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 / about 1 month 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 / 3 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 / 9 months ago
ID: i26 Tags: Programming, API, Documentation Description: Fast, offline, and free documentation browser for developers. GitHub Link | Website Link. - Source: dev.to / about 1 month ago
Search API documentation effortlessly with DevDocs. - Source: dev.to / 4 months ago
The book has twelve chapters. It starts with documentation, the source of truth, and explores how to access documentation offline (DevDocs) or online. It then progresses towards creating your own System Checks. - Source: dev.to / 9 months ago
I use devdocs.io for a one place for many libraries and languages. - Source: dev.to / 9 months ago
DevDocs is a fast, offline-capable documentation browser that covers a wide range of programming languages and tools. No matter what technical documentation you need to look up, DevDocs can quickly find and display it for you. - Source: dev.to / 10 months ago
NumPy - NumPy is the fundamental package for scientific computing with Python
Zeal - Zeal is an API Documentation Browser.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Dash for macOS - Dash is an API Documentation Browser and Code Snippet Manager. Dash searches offline documentation of 200+ APIs and stores snippets of code. You can also generate your own documentation sets.
OpenCV - OpenCV is the world's biggest computer vision library
DASH - DASH is a secure, blockchain-based global financial network which offers private transactions.