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 should be more popular than Exist. 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 / 29 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
As someone who has been on and off the Degoogle train (I ran full LineageOS without Google Play at one point) and is now pretty deep in iOS territory, I'd say the main thing for me has been email. I've used https://www.fastmail.com for a great deal of years now, which is also home to my calendar as well so there's nothing much of value tied to my Google account. YouTube subscriptions would be annoying to lose but... - Source: Hacker News / 7 months ago
You may want to look into https://exist.io/. It's a very indie developer duo out of Australia (IIRC). And also IIRC they were looking for a buyer on Twitter some time ago. - Source: Hacker News / almost 2 years ago
I have used this previously when tracking health metrics and I couldn't much else that had integrations. https://exist.io/. - Source: Hacker News / 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
NumPy - NumPy is the fundamental package for scientific computing with Python
Gyroscope - Gyroscope is a personalized dashboard for tracking your life.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Habitica - Habitica is a free habit building and productivity application.
OpenCV - OpenCV is the world's biggest computer vision library
HabitBull - HabitBull