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pandas-dev / pandas

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STYLE Increase coverage of inconsistent-namespace-usage

6
MarcoGorelli
MarcoGorelli commented Feb 23, 2021

If you already have experience contributing, then please leave this issue to newcomers - thanks 👍

In .pre-commit-config.yaml, the check inconsistent-namespace-usage is limited to pandas/tests/frame/. Let's expand it to the rest of pandas/tests/.

The task here is:

  1. make sure you're familiar with the [contributing guide](https://pandas.pydata.org/pandas-docs/dev/develop
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Style good first issue
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donnemartin / data-science-ipython-notebooks

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Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

python aws data-science machine-learning caffe theano big-data spark deep-learning hadoop tensorflow numpy scikit-learn keras pandas kaggle scipy matplotlib mapreduce
  • Updated Feb 18, 2021
  • Python

rapidsai / cudf

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[FEA] Refactor aggregation APIs

ttnghia
ttnghia commented Feb 26, 2021

Currently, aggregation APIs (groupby, reductions, rolling, etc.) are scattered around in multiple files and there are inconsistencies between the directory structures in cpp/include/, cpp/src/, cpp/tests/, and cpp/benchmarks/. For example:

cpp/include/:

  • include/cudf/aggregation.hpp
  • include/cudf/groupby.hpp
  • include/cudf/rolling.hpp
  • ....

cpp/src/:

  • src/aggregati
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4 - Needs libcudf Reviewer ? - Needs Triage code quality feature request
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tangyudi / Ai-Learn

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人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

python nlp data-science machine-learning data-mining algorithm caffe deep-learning tensorflow numpy cv keras mathematics pandas pytorch seaborn artificial-intelligence data-analysis matplotlib tensorflow2
  • Updated Feb 6, 2020

TarrySingh / Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

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A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

python aws machine-learning lua deep-learning neural-network tensorflow scikit-learn keras ipython-notebook torch pandas pytorch kaggle artificial-intelligence matplotlib tensorflow-tutorials convolutional-neural-networks python-data capsule-network
  • Updated Feb 2, 2021
  • Python

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