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About conda-forge. conda-forge is a GitHub organization containing repositories of conda recipes. Thanks to some awesome continuous integration providers (AppVeyor, Azure Pipelines, CircleCI and TravisCI), each repository, also known as a feedstock, automatically builds its own recipe in a clean and repeatable way on Windows, Linux and OSX.

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Michael Andreas Helmuth Ende (12 November 1929 – 28 August 1995) was a German writer of fantasy and children's fiction.He is best known for his epic fantasy The Neverending Story; other famous works include Momo and Jim Button and Luke the Engine Driver.

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To use it, install fastparquet with conda install-c conda-forge fastparquet. (Note there's a second engine out there, pyarrow, but I've found people have fewer problems with fastparquet).

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from fastparquet import ParquetFile pf = ParquetFile ('myfile.parq') df = pf. to_pandas The Pandas data-frame, df will contain all columns in the target file, and all row-groups concatenated together. If the data is a multi-file collection, such as generated by hadoop, the filename to supply is either the directory name, or the "_metadata ...

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Python Dictionary - Get Keys as List Dictionary is a collection of key:value pairs. You can get all the keys in the dictionary as a Python List. dict.keys() returns an iterable of type dict_keys(). You can convert this into a list using list(). Also, you can use * operator, which unpacks an iterable. Unpack dict or dict.keys() in using * operator.

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fastparquet : for parquet export; other optional dependencies. PyQt5 : for GUI tool; pyqtgraph : for GUI tool and Signal plotting (preferably the latest develop branch code) matplotlib : as fallback for Signal plotting; cChardet : to detect non-standard unicode encodings; chardet : to detect non-standard unicode encodings

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Hive 导入 parquet 数据步骤如下: 1. 查看 parquet 文件的格式 2. 构造建表语句 3. 倒入数据 一、查看 parquet 内容和结构 下载地址 ";社区工具&quo

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Sep 03, 2019 · Today we're going to configure an AWS EC2 instance so we can create a virtual environment to run our Python 3 projects. We assume you've already created the instance and SSH'd into it.

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About conda-forge. conda-forge is a GitHub organization containing repositories of conda recipes. Thanks to some awesome continuous integration providers (AppVeyor, Azure Pipelines, CircleCI and TravisCI), each repository, also known as a feedstock, automatically builds its own recipe in a clean and repeatable way on Windows, Linux and OSX.

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2018-2019 ¶. Pour l’année 2017, les tests sont dorénavant effectués sur Linux Debian 9 et la distribution standard Python 3.7.0.L’installation de cette machine est assez fastidieuse.

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from fastparquet import ParquetFile pf = ParquetFile ('myfile.parq') df = pf. to_pandas The Pandas data-frame, df will contain all columns in the target file, and all row-groups concatenated together. If the data is a multi-file collection, such as generated by hadoop, the filename to supply is either the directory name, or the "_metadata ...
name Alice -0.000854 Bob 0.002710 Charlie 0.000194 Dan -0.001115 Edith 0.000555 Frank -0.002418 George 0.001846 Hannah -0.001776 Ingrid -0.002040 Jerry 0.002220 Kevin -0.000385 Laura -0.000259 Michael -0.001937 Norbert 0.000206 Oliver 0.000625 Patricia -0.000618 Quinn -0.002781 Ray 0.002357 Sarah -0.000837 Tim 0.001247 Ursula 0.000153 Victor 0.000058 Wendy -0.001376 Xavier -0.000991 Yvonne 0 ...
Kaggle's Predict Future Sales competition project (TOP 15 solution as of March 2020) - jukiewiczm/kaggle-predict-future-sales
The primary purpose of 3D Tiles is to improve streaming and rendering performance of massive heterogeneous datasets. The foundation of 3D Tiles is a spatial data structure that enables Hierarchical Level of Detail (HLOD) so only visible tiles are streamed - and only those tiles which are most important for a given 3D view.
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fastparquet is a python implementation of the parquet format, aiming integrate into python-based big data work-flows. Not all parts of the parquet-format have been implemented yet or tested e.g. see the Todos linked below. With that said, fastparquet is capable of reading all the data files from the parquet-compatability project.