python-examples | Example code to serve as a basic introduction | SMS library

by adaptives Python Version: Current License: No License

X-Ray Key Features Code Snippets(1)Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | python-examples Summary

python-examples is a Python library typically used in Messaging, SMS applications. python-examples has no bugs, it has no vulnerabilities and it has low support. However python-examples build file is not available. You can download it from GitHub.

This project contains a series of Python examples to help someone new to Python learn how to program in Python. I am listing the order in which you may want to read these examples. The order below starts with simple concepts, moving on to more advanced ones. Slides for introduction to TDD With Python.

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python-examples has a low active ecosystem.

It has 90 star(s) with 113 fork(s). There are 21 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are 12 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of python-examples is current.

Quality

python-examples has 0 bugs and 0 code smells.

Security

python-examples has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

python-examples code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

python-examples does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

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python-examples releases are not available. You will need to build from source code and install.

python-examples has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

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

Parse a message file .
Create a module .
Return the maximum value of a and b .
Find the smallest value between a and b .
Reads the contents of a file .
Accepts an IProxy object and writes it to a text file .
Print usage information .
Return a list of all the available msgs .
Amount of invoice items in invoice .
add all the numbers

Get all kandi verified functions for this library.

python-examples Key Features

No Key Features are available at this moment for python-examples.

python-examples Examples and Code Snippets

Perform sparse merge .

python

Lines of Code : 94

License : Non-SPDX (Apache License 2.0)

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def sparse_merge(sp_ids, sp_values, vocab_size, name=None,
                 already_sorted=False):
  """Combines a batch of feature ids and values into a single `SparseTensor`.

  The most common use case for this function occurs when feature ids and

Community Discussions

Trending Discussions on python-examples

DataFlow deployment fails with "object has no attribute watermark_estimator_provider" error

"The specified bucket does not exist" when trying to list objects in IBM Cloud Object Storage using Python

What is the Time Complexity of my algorithm?

QUESTION

DataFlow deployment fails with "object has no attribute watermark_estimator_provider" error

Asked 2020-Dec-07 at 08:08

Trying to deploy a pipeline. I am following this implementation: https://github.com/GoogleCloudPlatform/professional-services/blob/main/examples/dataflow-python-examples/batch-examples/cookbook-examples/pipelines/data_enrichment.py

Though slightly changing it as the mapping data is in a csv file not in bq.

Error message:

...

ANSWER

Answered 2020-Dec-07 at 08:08

I was able to reproduce your issue when I followed data_enrichment.py. I was able to make it work when I used WriteToBigQuery, because BigQuerySink is already deprecated since version 2.11.0. WriteToBigQuery has more parameters compared to BigQuerySink. Replace BigQuerySink to WriteToBigQuery and just add custom_gcs_temp_location in the parameters.

Source https://stackoverflow.com/questions/65172252

QUESTION

"The specified bucket does not exist" when trying to list objects in IBM Cloud Object Storage using Python

Asked 2020-Mar-24 at 16:11

Following IBM documentation, I'm trying to list objects in my COS bucket using Python and ibm-cos-sdk.

...

ANSWER

Answered 2020-Mar-24 at 16:11

The reason for the error is conceptual. You can see all buckets, but only can obtain details for buckets in the connected region. I ran into this a long time ago and solved it like this (tested then, not today):

Source https://stackoverflow.com/questions/60834454

QUESTION

What is the Time Complexity of my algorithm?

Asked 2020-Feb-15 at 07:51

This algorithm was written for LeetCode's climbing stairs problem and it ran at 20ms. I believe the time complexity is O(n), because this link https://towardsdatascience.com/understanding-time-complexity-with-python-examples-2bda6e8158a7 said O(n) is when the running time increases linearly as the size of the input gets bigger, which is what I think is going on here.

I was wondering if someone could explain to me the the time complexity here and why it would be that. Any additional info on how I could get it to linear time if I'm not there already would help too.

Here is my code:

...

ANSWER

Answered 2020-Feb-15 at 02:56

A constant amount of work is done for each iteration (assuming append takes constant time); there are N iterations, hence O(n) time.

Source https://stackoverflow.com/questions/60235614

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

Vulnerabilities

No vulnerabilities reported

Install python-examples

You can download it from GitHub.
You can use python-examples like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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