qs_ledger
pandas_exercises
| qs_ledger | pandas_exercises | |
|---|---|---|
| 4 | 10 | |
| 948 | 10,214 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | about 1 month ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | BSD 3-clause "New" or "Revised" License |
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qs_ledger
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Can you get raw data out of a Fitbit for manual analysis?
Here is a really really cool project that imports data from many sources and creates a personal database. https://github.com/markwk/qs_ledger
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Beginner ambitions
https://github.com/markwk/qs_ledger/blob/master/example_correlation_explorer_with_plotly.py so just linear correlation? and Anaconda again oh my
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Suggestions for logging miles on running shoes
Are you more interested in tracking the depreciation of the shoes, or your running habits? If it's the latter I'd point you to projects like qs_ledger.
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Looking for devs and knowledgeable health people for open source quantification !
I'd be interested. I'm working on my own thing similarly based mostly on https://github.com/markwk/qs_ledger.
pandas_exercises
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Does CS 1301 cover topics like NumPy and pandas?
pandas notebook
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Any advice on using Pandas as a data analyst?
Personally, practiced the exercises present in this github repo, it was very helpful. https://github.com/guipsamora/pandas_exercises
- Pandas Exercises to Learn by Doing
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How to improve machine learning programming skills?
Check this out for practicing Pandas using specific exercises: https://github.com/guipsamora/pandas_exercises
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[NBS Accountancy] Ranking and Tiering every core modules with description)! Hope this will be fun read for the current/past Accountancy students, and helpful for incoming batch of Accountancy students :))
Tips: For quiz 1, I used this whereas for quiz 2, I used this to revise. I cannot conclude whether they really helped in the end since the quiz results aren't released, but managed to nab an A for this mod so there's that.
- Looking for Pandas course in Jupyter Notebook so I can learn both at the same time
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Using mean on numeric columns of a GroupedDataFrame
I am trying to solve the exercises in the excellent guipsamora/pandas_exercises repo using DataFrames.jl and other Julia tools. A question in the repo is something like this
- Associate Data Scientist @ IBM?
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PySpark exercises for practice?
Are there some PySpark exercises available on GitHub for practice? I am looking for something like this pandas exercises collection - https://github.com/guipsamora/pandas_exercises
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Python Intermediate-advanced tests
Pandas Exercises Github
What are some alternatives?
Fitbit-Overview-Face - Fitbit watch face
100-plus-Python-programming-exercises-extended - The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways
Habitica-Pomodoro-SiteKeeper - Chrome Extension for Habitica that charges you gp for visiting sites, including a Pomodoro Timer
pandas-cookbook - Recipes for using Python's pandas library
KindleHighlightsReader - A program to edit and prettify your Amazon Kindle highlights and export them as pdf, text, json or csv files.
100-pandas-puzzles - 100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
fitbitScraper - R package to scrape fitbit data
PANDAS-TUTORIAL - Jupyter Notebooks and Data Sets for Pandas Library
python-fitbit - Fitbit API Python Client Implementation
github_innovation_graph_analysis
fitbit-googlefit - Export Fitbit data to Google Fit. Unlike the alternatives such as fitnessyncer.com, this offers very fine intraday granularity (every minute/second data).
pyspark-tutorials - Code snippets and tutorials for working with social science data in PySpark