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 Gyroscope. While we know about 219 links to Pandas, we've tracked only 8 mentions of Gyroscope. 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.
So I have them like this:- Dashboard: Gyrosco.pe (planning on checking out Exist.io/Conjure.so/Bearable just to compare between them and see which one's best). I've got gyrosco.pe on a good deal so I thought I'd give it a try anyway. Source: almost 2 years ago
Hey guys, thinking of tracking wellness metrics such as sleep water intake etc to a dashboard/app. The main tools I have found are Exist.io, Gyrosco.pe, and conjure.so. For those of you who have tried them I would love to know what are the pros and cons with each one? Or if you have any better ones any help is greatly appreciated! Source: almost 2 years ago
Hey guys, thinking of transporting my quantified self journey to a dashboard/app. The main tools I have found are Exist.io, Gyrosco.pe, and conjure.so. For those of you who have tried them I would love to know what are the pros and cons with each one? Source: almost 2 years ago
Https://gyrosco.pe may be something I expore but it's not self hosted either. Source: over 2 years ago
Not to complicate things but I use an app called Gyroscope https://gyrosco.pe/ and it ingests data from both Apple Watch and the Oura Ring to give you a more holistic view. Also, this way if I’m not wearing one device I’m still getting data from the other. Also using Pillow with Apple Watch for sleep when I wear the watch to sleep. But overall, I do agree that there is quite a gap between how Apple Watch and Oura... Source: over 2 years ago
Libraries for data science and deep learning that are always changing. - Source: dev.to / 30 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 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 / 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
Exist - Track everything in one place, understand your life.
NumPy - NumPy is the fundamental package for scientific computing with Python
Sleep Watch - AI-powered, personalized insights about your sleep.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
HabitBull - HabitBull
OpenCV - OpenCV is the world's biggest computer vision library