Cronometer
TDEE Calculator net
MyFitnessPal
LifeSum
Lose it!
Eat This Much
YAZIO
fatsecret
Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
Cronometer PandasCronometer is especially recommended for nutritionists, fitness enthusiasts, or individuals with specific dietary needs who require detailed tracking of their nutritional intake. It is also beneficial for people who are managing health conditions that require careful monitoring of nutrient intake, such as diabetes or heart disease.
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, Cronometer should be more popular than Pandas. It has been mentiond 862 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.
Https://cronometer.com this is what nutritionists use. It tracks not only calories, but also macros and micros. - Source: Hacker News / 5 months ago
There is no way this is "just placebo" for me. I obsessively track everything I can, what I eat (https://cronometer.com/), how I sleep (https://apps.apple.com/us/app/autosleep-track-sleep-on-watch/id1164801111), my exercise stats (apple fitness/health). Nights that I have alcohol can easily be seen in my sleep tracker (I fall asleep easily, but then have a very disrupted night of sleep). In my food tracker... - Source: Hacker News / 9 months ago
Always encourage a well-rounded diet and gym regimen first, consisting of hitting all three macronutrient goal (fats, carbohydrates, proteins). Many fad diets will recommend restricting one of these, and while they do produce results for those who practice them, it is safer for him to maintain a calorie goal and not restrict his nutrient targets until he understands how to track his nutrient densities with every... Source: over 1 year ago
Its worthwhile to start tracking what you eat. https://cronometer.com/ is what I use, its very good. This will help guide you on how what you eat shapes your nutrition. Source: over 1 year ago
Eating plant based is pretty straightforward. The only thing you absolutely make sure you're getting through supplements or fortified food is B12. After that, eating a good variety will get you the rest of the way. I take a multivitamin just to cover my bases and a D supplement in the winter. There are sites like cronometer.com you can use to track nutrients as well. Source: over 1 year ago
Libraries for data science and deep learning that are always changing. - Source: dev.to / about 2 months 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
TDEE Calculator net - Use the TDEE calculator to learn your Total Daily Energy Expenditure, a measure of how many calories you burn per day. This calculator displays MUCH more!
NumPy - NumPy is the fundamental package for scientific computing with Python
MyFitnessPal - Track the number of calories that you consume each day with MyFitnessPal. The app also lets you create a diet and track the exercise that you complete each day whether it's walking, running or some other type of program.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
LifeSum - Set a weight goal and we'll tell you how to reach it!
OpenCV - OpenCV is the world's biggest computer vision library