tempo
100-pandas-puzzles
tempo | 100-pandas-puzzles | |
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7 | 6 | |
294 | 2,219 | |
0.0% | - | |
6.1 | 0.0 | |
about 20 hours ago | 14 days ago | |
Jupyter Notebook | Jupyter Notebook | |
GNU General Public License v3.0 or later | MIT License |
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tempo
100-pandas-puzzles
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What are the best Python libraries to learn for beginners?
#1: Welcome to df[pandas]! #2: 100 data puzzles for pandas, ranging from short and simple to super tricky | 3 comments #3: Happy Halloween, Pandas! 🎃🤓 | 0 comments
- 100 data puzzles for pandas, ranging from short and simple to super tricky
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pandas practice resources?
I remember someone sharing this with me earlier: https://github.com/ajcr/100-pandas-puzzles Let me know if you think it's comprehensive and a good resource.
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how important are learning the data manipulation libraries?
If you want to get better with pandas specifically you could work through the 100 pandas puzzles repo in your spare time, https://github.com/ajcr/100-pandas-puzzles
- Can anyone recommend resources to prepare for Pandas and Numpy interview questions?
- Is there anything AoC-like for Machine Learning or Data Science?
What are some alternatives?
TimeSynth - A Multipurpose Library for Synthetic Time Series Generation in Python
numpy-100 - 100 numpy exercises (with solutions)
RasgoQL - Write python locally, execute SQL in your data warehouse
pandas_exercises - Practice your pandas skills!
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
idx2numpy_array - Convert data in IDX format in MNIST Dataset to Numpy Array using Python
ML-Workspace - 🛠All-in-one web-based IDE specialized for machine learning and data science.
blog - SZÉKELYDATA | Erdély, Székelyföld és a nagyvilág a Big Data korszakában
tempo - Grafana Tempo is a high volume, minimal dependency distributed tracing backend.
TimeSeriesCrossValidation - Time-Series Cross-Validation Module
pyjanitor - Clean APIs for data cleaning. Python implementation of R package Janitor