Isaac Virshup ivirshup

## 01_scrape-dependent-packages-from-wheelodex.ipynb

      
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                ivirshup
                / 01_scrape-dependent-packages-from-wheelodex.ipynb
            
            
              Created Nov 16, 2022
            
              
                scverse core dependent packages
              
          
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## mmap_csr_sparse.ipynb

      
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              Last active Nov 8, 2022
            
              
                Example code for reading from a memory mapped sparse array
              
          
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## cellxgenedp_example.ipynb

      
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                / cellxgenedp_example.ipynb
            
            
              Last active Oct 12, 2022
            
              
                Downloading an h5ad file from cellxgene API
              
          
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## scverse-core_github-dependents.ipynb

      
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                / scverse-core_github-dependents.ipynb
            
            
              Last active Oct 10, 2022
            
              
                Notebook for getting scverse core packages dependents from github
              
          
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## scverse-core_pypi-dependents.ipynb

      
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                ivirshup
                / scverse-core_pypi-dependents.ipynb
            
            
              Created Oct 10, 2022
            
              
                Notebook for getting scverse core packages pypi dependents from wheelodex
              
          
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## anndata_dask_df.py
import copy

import dask.dataframe as dd
import dask.array as da

import dask
from dask.base import tokenize
from dask.dataframe.io.io import from_map

import pandas as pd, numpy as np, zarr

## jsscatter-citeseq.ipynb

      
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                ivirshup
                / jsscatter-citeseq.ipynb
            
            
              Created May 24, 2022
            
              
                jupyter-scatter + citeseq example
              
          
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## dependents.ipynb

      
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                ivirshup
                / dependents.ipynb
            
            
              Created May 11, 2022
            
              
                Dependents of scverse packages
              
          
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## Full log
2021-07-06T06:22:38.2855413Z ##[section]Starting: PyTest
2021-07-06T06:22:38.2865170Z ==============================================================================
2021-07-06T06:22:38.2865487Z Task         : Command line
2021-07-06T06:22:38.2866717Z Description  : Run a command line script using Bash on Linux and macOS and cmd.exe on Windows
2021-07-06T06:22:38.2867060Z Version      : 2.182.0
2021-07-06T06:22:38.2867287Z Author       : Microsoft Corporation
2021-07-06T06:22:38.2867638Z Help         : https://docs.microsoft.com/azure/devops/pipelines/tasks/utility/command-line
2021-07-06T06:22:38.2868015Z ==============================================================================
2021-07-06T06:22:39.2961314Z Generating script.

## example.py
import scanpy as sc
import numpy as np
from matplotlib import pyplot as plt
from openTSNE import TSNE

from itertools import product

pbmc = sc.datasets.pbmc3k_processed()
RANDOM_STATE = 1291321
keys = []
	import copy

	import dask.dataframe as dd
	import dask.array as da

	import dask
	from dask.base import tokenize
	from dask.dataframe.io.io import from_map

	import pandas as pd, numpy as np, zarr
	2021-07-06T06:22:38.2855413Z ##[section]Starting: PyTest
	2021-07-06T06:22:38.2865170Z ==============================================================================
	2021-07-06T06:22:38.2865487Z Task : Command line
	2021-07-06T06:22:38.2866717Z Description : Run a command line script using Bash on Linux and macOS and cmd.exe on Windows
	2021-07-06T06:22:38.2867060Z Version : 2.182.0
	2021-07-06T06:22:38.2867287Z Author : Microsoft Corporation
	2021-07-06T06:22:38.2867638Z Help : https://docs.microsoft.com/azure/devops/pipelines/tasks/utility/command-line
	2021-07-06T06:22:38.2868015Z ==============================================================================
	2021-07-06T06:22:39.2961314Z Generating script.
	import scanpy as sc
	import numpy as np
	from matplotlib import pyplot as plt
	from openTSNE import TSNE

	from itertools import product

	pbmc = sc.datasets.pbmc3k_processed()
	RANDOM_STATE = 1291321
	keys = []