beso | Python code for topology optimization using CalculiX FEM

by fandaL Python Version: Current License: LGPL-3.0

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

kandi X-RAY | beso Summary

beso is a Python library typically used in Simulation applications. beso has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. However beso build file is not available. You can download it from GitHub.

Python code for a topology optimization using CalculiX FEM solver. Description with a simple example are in wiki.

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Quality

Security

License

Reuse

Support

beso has a low active ecosystem.

It has 115 star(s) with 24 fork(s). There are 24 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 12 have been closed. On average issues are closed in 2 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of beso is current.

Quality

beso has 0 bugs and 0 code smells.

Security

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

beso code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

beso is licensed under the LGPL-3.0 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

beso releases are not available. You will need to build from source code and install.

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

beso saves you 1897 person hours of effort in developing the same functionality from scratch.

It has 4445 lines of code, 86 functions and 7 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

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beso Key Features

No Key Features are available at this moment for beso.

beso Examples and Code Snippets

No Code Snippets are available at this moment for beso.

Community Discussions

Trending Discussions on beso

group_by and slice on groups based on condition

Filter a data frame if 3 columns contain the same data

Running multiple "if" statements, but multiple are met at a time

Counting the characters of dictionary values inside a dataframe column

QUESTION

group_by and slice on groups based on condition

Asked 2022-Apr-17 at 15:16

I have a data frame which looks like:

...

ANSWER

Answered 2022-Apr-17 at 15:11

Not the most elegant solution but this will work.

Basically we use the grouped data to add a row number then ungroup and filter out any row numbers that equal 1

Source https://stackoverflow.com/questions/71902586

QUESTION

Filter a data frame if 3 columns contain the same data

Asked 2022-Apr-16 at 20:49

I have some data which looks like:

...

ANSWER

Answered 2022-Apr-16 at 20:42

We could use ifelse statement with helper columns x and y and then filter on them:

Source https://stackoverflow.com/questions/71897320

QUESTION

Running multiple "if" statements, but multiple are met at a time

Asked 2021-Mar-22 at 14:53

I am creating a poker game, as stated before, but some poker card "if" statements are being met multiple times, which should not happen.

...

ANSWER

Answered 2021-Mar-22 at 14:53

Perhaps when a decision is made on whether to bet or check, you should return from that function? The way you have it written right now, the second check message is coming because your user doesn't have two diamonds, but has something else that would give the message.

Using an "elif" is also an option. In other languages, this is written as "else if", where the path should be if this first one isn't satisfied AND this one is.

EDIT: Here's an example:

Source https://stackoverflow.com/questions/66748212

QUESTION

Counting the characters of dictionary values inside a dataframe column

Asked 2020-Nov-12 at 01:09

After downloading Facebook data, they provide json files with your post information. I read the json and dataframe with pandas. Now I want to count the characters of every post I made. The posts are in: df['data'] like: [{'post': 'Happy bday Raul'}].

I want the output to be the count of characters of: "Happy bday Raul" which will be 15 in this case or 7 in the case of "Morning" from [{'post': 'Morning'}].

...

ANSWER

Answered 2020-Nov-12 at 01:09

You can access the value of the post key for each row using list comprehension and count the length with str.len():

In one line of code, it would look like this:

Source https://stackoverflow.com/questions/64795714

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

Vulnerabilities

No vulnerabilities reported

Install beso

You can download it from GitHub.
You can use beso 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 .

Find more information at: