Uhuru
Bosch.IO
7EDGE
Sirius
eInfochips IoT Consulting
Oxagile IoT Services
ScienceSoft
Gravio
Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
Uhuru PandasNo features have been listed yet.
Pandas 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, Pandas seems to be a lot more popular than Uhuru. While we know about 219 links to Pandas, we've tracked only 2 mentions of Uhuru. 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.
They may not have what you need right now, but this is a great place to support, and they get really lovely pieces: Https://uhurufurniture.blogspot.com/. Source: over 3 years ago
If it's good quality, Uhuru Furniture or Out of the Closet might be interested in picking it up - you can call them and find out. Source: almost 4 years ago
Libraries for data science and deep learning that are always changing. - Source: dev.to / 27 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 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 / 9 months ago
Bosch.IO - We bring the IoT to life. Bosch.IO GmbH has 71 repositories available. Follow their code on GitHub.
NumPy - NumPy is the fundamental package for scientific computing with Python
7EDGE - Samsung Galaxy S7 edge Android smartphone. Announced Feb 2016. Features 5.5″ Super AMOLED display, Snapdragon 820 chipset, 12 MP primary camera, 5 MP front camera, 3600 mAh battery, 128 GB storage, 4 GB RAM, Corning Gorilla Glass 4.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Sirius - An open-source clone of Siri from UMICH
OpenCV - OpenCV is the world's biggest computer vision library
