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.
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Where are you on your journey? In my case, I have realized that if you think you are drinking enough water and are still fatigued, you may need more. Not only is my appetite for food, but also water has been suppressed. As for food that be enough or too much. Have you calculated your TDEE? https://tdeecalculator.org/. Source: about 2 years ago
Here 18 years old, 307lbs, 6’0”, sedentary, maintain, 46% bodyfat. Source: about 2 years ago
Hello! For my it was a lot of trial and error playing around with numbers. I used https://tdeecalculator.org to find out what my body burns if I were just it go about my day. Eating anything lower than that would be a calorie deficit. I see a lot of people do 200-500 less. You just gotta find a range that works for you. Source: over 2 years ago
Google “tdee calculator”. It stands for total daily energy expenditure. You’ll learn how much your body burns just to survive. What level you need to eat at for fat loss (or whatever your goal is). This one is my favorite: https://tdeecalculator.org/. Source: over 2 years ago
Https://tdeecalculator.org/ Here you can get a good TDEE, there are a bunch of other things needed like weight, body fat %, goals (gain/lose/maintain). Source: almost 3 years 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!
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