TITAN | With a 190x190x190 footprint

by daid Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | TITAN Summary

TITAN is a Python library typically used in Internet of Things (IoT), Qt5, Arduino applications. TITAN has no bugs, it has no vulnerabilities and it has low support. However TITAN build file is not available. You can download it from GitHub.

The TITAN is a tiny RepRap based 3D printer. With a 190x190x190 footprint it can print objects up to 80x80x70mm. It is designed for easy transport so sturdy, light and small.

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Support

TITAN has a low active ecosystem.

It has 10 star(s) with 6 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

TITAN has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of TITAN is current.

Quality

TITAN has no bugs reported.

Security

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

License

TITAN 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.

Reuse

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

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

Inserts a tree into the tree
Balance a tree
Combine two AABB objects
True if the node is a leaf
Load a mesh from a file
Load vertices from an ASCII file
Loads a binary file
Query the database
Query the leaves
Returns True if the overlap between two cells
Normalize the vector
The size of the vector
Save a mesh as a STL file
Convert v

Get all kandi verified functions for this library.

TITAN Key Features

No Key Features are available at this moment for TITAN.

TITAN Examples and Code Snippets

No Code Snippets are available at this moment for TITAN.

Community Discussions

Trending Discussions on TITAN

What does read_csv() use random numbers for?

python dual for loops does not provide the expected results

What is the meaning of HIGH CORRELATION in pandas profiling?

PyTorch NN does not learn or learns poorly

How do you utilize array output from OneHotEncoder

Potential Typescript compiler bug?

Calculate the average budget of all movies in the data set

How to create stacked bar chart in python, color coded by category

How to plot each axes above the other with a for-loop

Nodemailer doesn't work with react contact form

QUESTION

What does read_csv() use random numbers for?

Asked 2021-Jun-10 at 19:21

I just noticed that read_csv() somehow uses random numbers which is unexpected (at least to me). The corresponding base R function read.csv() does not do that. So, what does read_csv() use the random numbers for? I looked into the documentation but could not find a clear answer to that. Are the random numbers related to the guess_max argument?

...

ANSWER

Answered 2021-Jun-10 at 19:21

tl;dr somewhere deep in the guts of the cli package (called to generate the pretty-printed output about column types), the code is generating a random string to use as a label.

A major clue is that

Source https://stackoverflow.com/questions/67909394

QUESTION

python dual for loops does not provide the expected results

Asked 2021-Jun-06 at 22:20

I am new to python . i am trying to run the below code but the results are not as expected:

...

ANSWER

Answered 2021-Jun-06 at 21:17

There is no need for the nested loop.

Source https://stackoverflow.com/questions/67862765

QUESTION

What is the meaning of HIGH CORRELATION in pandas profiling?

Asked 2021-Jun-06 at 04:25

I'm trying to use pandas profiling on titanic dateset. Under the overview section there are some features with caption "HIGH CORRELATION"

I know what is the meaning of correlation, but the caption doesn't tell which feature is correlated to this feature ?
So what is the meaning of "HIGH CORRELATION" in the pandas profiling doc ?

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ANSWER

Answered 2021-Jun-06 at 04:25

If you click on the Warnings tab it will tell what other feature the features are correlated with as seen in this example. Can see the same thing in the example with the actual titanic data.

Source https://stackoverflow.com/questions/67855643

QUESTION

PyTorch NN does not learn or learns poorly

Asked 2021-Jun-04 at 17:03

I'm working with PyTorch tutorial, slightly modified to use Titanic dataset. I'm using very simple network of Linear(Dense) with ReLU... I'd like to predict survival status based on age, fare and sex for example.

I experienced a strange behavior with a simple neural network (I'm experimenting on Google Colab). Sometimes when I execute training, the accuracy doesn't change at all. It's strange because I'm recreating the model...

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ANSWER

Answered 2021-Jun-04 at 17:03

As this is a classification problem, your neural network's last layer should not have a relu activation function.

Code Snippet:

Source https://stackoverflow.com/questions/67840919

QUESTION

How do you utilize array output from OneHotEncoder

Asked 2021-Jun-02 at 02:56

Python beginner here...

Trying to understand how to use OneHotEncoder from the sklearn.preprocessing library. I feel pretty confident in using it in combination with fit_transform so that the results can also be fit to the test dataframe. Where I get confused is what to do with the resulting encoded array. Do you then convert the ohe results back to a dataframe and append it to the existing train/test dataframe?

The ohe method seems a lot more cumbersome than the pd.get_dummies method, but from my understanding using ohe with fit_transform makes it easier to apply the same transformation to the test data.

Searched for hours and having a lot of trouble trying to find a good answer for this.

Example with the widely used Titanic dataset:

...

ANSWER

Answered 2021-Jun-02 at 02:56

Your intuition is correct: pandas.get_dummies() is a lot easier to use, but the advantage of using OHE is that it will always apply the same transformation to unseen data. You can also export the instance using pickle or joblib and load it in other scripts.

There may be a way to directly reattach the encoded columns back to the original pandas.DataFrame. Personally, I go about it the long way. That is, I fit the encoder, transform the data, attach the output back to the DataFrame and drop the original column.

Source https://stackoverflow.com/questions/67797853

QUESTION

Potential Typescript compiler bug?

Asked 2021-May-25 at 01:56

I'm trying to figure out if this is typescript compiler bug or a feature

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ANSWER

Answered 2021-May-25 at 01:56

It's not a compiler bug; it's a set of features that you are not intending to use.

First, in interface and other purely type-level object type definitions, the compiler interprets a comma (,) as a separator between members, just like a semicolon (;):

Source https://stackoverflow.com/questions/67680573

QUESTION

Calculate the average budget of all movies in the data set

Asked 2021-May-24 at 15:12

movies = [
     ("Titanic", 20000000),
     ("Dracula", 9000000),
     ("James Bond", 4500000),
     ("Pirates of the Caribbean: On Stranger Tides", 379000000),
     ("Avengers: Age of Ultron", 365000000),
     ("Avengers: Endgame", 356000000),
     ("Incredibles 2", 200000000)
 ]

...

ANSWER

Answered 2021-May-24 at 15:09

The normal approach for calculating averages would work here. Something along the lines of

Source https://stackoverflow.com/questions/67674347

QUESTION

How to create stacked bar chart in python, color coded by category

Asked 2021-May-16 at 19:23

I'm working on a popular Titanic dataset on Kaggle, and I would like to create a bar chart showing the numbers of survivors vs. deceased by gender. On the x-axis, I want gender (male/female). I want to have the survivors and deceased stacked and color coded.

Here is my current code, which produces four bars for each combination of male/survived, male/deceased, female/survived, female/deceased:

...

ANSWER

Answered 2021-May-16 at 16:29

With some example data I believe this is what you are looking for, using matplotlib:

Source https://stackoverflow.com/questions/67558783

QUESTION

How to plot each axes above the other with a for-loop

Asked 2021-May-16 at 18:55

I am trying to get visualizations from titanic dataset:

...

ANSWER

Answered 2021-May-16 at 18:55

You forgot to specify the axis for each plot, so it is plotting them all on the same axis.

Source https://stackoverflow.com/questions/67553058

QUESTION

Nodemailer doesn't work with react contact form

Asked 2021-May-14 at 18:25

I get the error below when I try to send an email from the contact form in React.js and Nodemailer. I have a problem because I cannot diagnose where the problem lies. After clicking the send button in forms, no window with an error appears on the screen. Where is the reason why e-mails are not being sent?

...

ANSWER

Answered 2021-May-14 at 17:36

I'd same error in my first try with node-Mailer... something about tls

Source https://stackoverflow.com/questions/67538513

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

Vulnerabilities

No vulnerabilities reported

Install TITAN

You can download it from GitHub.
You can use TITAN 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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