pydatalab | Google Datalab Library

by googledatalab Python Version: v1.2.0 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | pydatalab Summary

pydatalab is a Python library. pydatalab has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install pydatalab' or download it from GitHub, PyPI.

Google Datalab Library

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Quality

Security

License

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Support

pydatalab has a low active ecosystem.

It has 192 star(s) with 79 fork(s). There are 21 watchers for this library.

It had no major release in the last 12 months.

There are 83 open issues and 123 have been closed. On average issues are closed in 215 days. There are 15 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pydatalab is v1.2.0

Quality

pydatalab has 0 bugs and 0 code smells.

Security

pydatalab has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

pydatalab code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pydatalab is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

pydatalab releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed pydatalab and discovered the below as its top functions. This is intended to give you an instant insight into pydatalab implemented functionality, and help decide if they suit your requirements.

Implements MLWorkbench
Add a cell argument
Deserializes an example from a string
Formats the given SQL string
Creates an experiment function
Compute csv header and default values
Builds a training input function
Parse command line arguments
Add an argument to the main parser
Preprocess image classification
Wrapper for transform
Run training
Sample rows from GCS data
Decodes an example from a string
Load a table
Computes the accuracy of the prediction
Batch prediction
Submit training job
Sample data from source to destination
Create the appropriate command parser
Start training
Run Cloud analysis
Generate HTML for a GCH chart
Sample a cell
Implements BigQuery table magic
Load IPython extension
Insert data into the table

Get all kandi verified functions for this library.

pydatalab Key Features

No Key Features are available at this moment for pydatalab.

pydatalab Examples and Code Snippets

No Code Snippets are available at this moment for pydatalab.

Community Discussions

Trending Discussions on pydatalab

BigQuery in Google Cloud Datalab - Get Query Text?

running parameterized bigquery via cell magic in jupyter notebook

google datalab chart cell magic does not work in local jupyter notebook

Using a different codec with Csv parser in Google Cloud Datalab

QUESTION

BigQuery in Google Cloud Datalab - Get Query Text?

Asked 2017-Sep-26 at 07:43

We have a working prototype in Google Cloud DataLab where we have made extensive use of the %%bq 'magics' to build up a parameterized query using various UDFs.

So something like:

...

ANSWER

Answered 2017-Sep-18 at 16:35

Have you tried finalQry.sql? This will give you the query's SQL string. However, this will be before any parameter substitution, since this happens at execution time (your sample call in this case).

See http://googledatalab.github.io/pydatalab/datalab.bigquery.html#datalab.bigquery.Query.sql

If you think getting the SQL string after substitution is a useful feature, you can open a feature request on the Github repo.

Source https://stackoverflow.com/questions/46277975

QUESTION

running parameterized bigquery via cell magic in jupyter notebook

Asked 2017-Aug-31 at 12:39

I've got a problem with pydatalab: I just installed it and normal querying and charting via cell magic works fine.

The wiki for pydatalab says, it's possible to add chart controls. But that wiki uses some old %%sql syntax instead of the new %%bq query one which don't work anymore.

Weird thing is, the following works fine:

...

ANSWER

Answered 2017-Aug-31 at 12:39

I found this open issue. It's not implemented right now....

Source https://stackoverflow.com/questions/45976249

QUESTION

google datalab chart cell magic does not work in local jupyter notebook

Asked 2017-Aug-30 at 16:57

I want to make some nice charts like you can see here or here.

Normal Querying via %%bq -n data works fine.

I installed datalab like described.

If i try to make a chart with this %chart line -d data -f field1,field2 logic, something happens, but no plot appears.

...

ANSWER

Answered 2017-Aug-30 at 16:57

The solution is not mentioned in the "Using in Jupyter" section in the installation readme, but on another wiki page I found: Jupyter Kernel and Notebook Extensions .

It's, to install a nbextension:

Source https://stackoverflow.com/questions/45965960

QUESTION

Using a different codec with Csv parser in Google Cloud Datalab

Asked 2017-May-08 at 16:25

I am trying to read a csv from google cloud storage in Google Cloud Datalab but its falling over with the following error message:

...

ANSWER

Answered 2017-May-08 at 16:25

The Datalab csv parser uses the python csv module under the hood, and that module itself doesn't support encodings/codecs.

If the file isn't too big you can use the gcs view command to load it into a variable, then encode it and pass it to a csv reader.

That command just reads the whole file, so if you need to limit the number of lines you'd have to use the read_lines() method in the Storage API.

Source https://stackoverflow.com/questions/43818480

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install pydatalab

This package is available on PyPI as datalab:.
If you'd like to work on the package, it's useful to be able to install from source. You will need the Typescript compiler installed.