semvec/pypi-packages huggingface dataset:
tsanalysis 0.1.2
Machine Learning library for time series analysis
Requires Python: >=3.6
Keywords: ml datascience timeseries dataanalysis

# Time Series Analysis

A framework for time-series analysis and features extraction / visualization.

## Installation

### From Github
Download or clone the sources from the [github page](https://github.com/etiennedemontalivet/time-series-analysis/) and run:
```
python steup.py install
```

### Release
```
pip install tsanalysis
```

## Documentation

This is **Work In Progress**
pytraits 0.0.2
apply traits to your YAML template

traits define demo：
~~~yaml
name: demo
rules:
- name: never-restart
  path: .spec.template.spec.restartPolicy
  value: Never
  action: replace
- name: upper-name
  path: .spec.template.spec.containers.0.name
  value: Upper
  action: function
- name: default-tag
  path: .spec.template.spec.containers.0.image
  value: :latest
  action: concat
- name: default-env
  path: .spec.template.spec.containers.0.env
  value: 
    - name: PYTHONUNBUFFERD
      value: 1
  action: extend
~~~

template demo：
~~~yaml
apiVersion: batch/v1
kind: Job
metadata:
  name: hello
spec:
  template:
    spec:
      containers:
      - name: hello
        image: busybox
        command: ['sh', '-c', 'echo "Hello, Kubernetes!" && sleep 3600']
      restartPolicy: OnFailure

~~~

apply trais on template
```shell
traits traits.yaml job.yaml | yp -y
```

~~~yaml
apiVersion: batch/v1
kind: Job
metadata:
  name: hello
spec:
  template:
    spec:
      containers:
        - name: HELLO
          image: busybox:latest
          command:
            - sh
            - -c
            - echo "Hello, Kubernetes!" && sleep 3600
          env:
            - name: PYTHONUNBUFFERD
              value: 1
      restartPolicy: Never
~~~
check-my-mcq 1.0.2
Correct your mcq's from physicsmathtutor.com!
Requires Python: >=3.9

# CHECK MY MCQ

Correct my mcq is a tool that corrects MCQ's you solved by solving MCQ papers
from https://physicsmathtutor.com

Correcting those MCQ papers is a huge pain, so this tool does it for you! After correcting, it displays the question numbers you answered wrong, your answer to the question, and the actual answer to the question.

At the end, it also displays the amount of marks you earned for the test.

To use, answer the MCQ in a standard text(.txt) file in this format:

```
A
B
D
C
A
C
```

where each seperate line contains the answer to the corresponding line number's question, for example, line 1 should contain the answer to question 1, line 2 should be the answer to question 2 and so on. Don't worry, the tool is case-insensitive, so writing "a" instead of "A" would'nt make a difference

Then, install the relevant MS from https://physicsandmathtutor.com and when the program asks you to input the path to the marking scheme, do that accordingly, and then input the path to your answer script.

And that's it!

## INSTALLATION

First, ensure you have the latest installation of [python 3](https://python.org/downloads) for your OS.

Then open your command prompt/terminal and enter

`$ python3 -m pip install --user --upgrade check-my-mcq`

And that's it!

## USAGE

To use the tool, just type

`$ check_my_mcq`

in your command prompt/terminal.

###### TODO

- Write tests
- Add some more documentation
matplotlib-tuda 0.0.1
Small package to add the corporate colors of the TU Darmstadt to Matplotlib.
Requires Python: >=3.8

# Matplotlib TUDa

This is a small packages that adds the corporate colors of the TU Darmstadt (see [Corporate Design](https://www.tu-darmstadt.de/media/medien_stabsstelle_km/services/medien_cd/das_bild_der_tu_darmstadt.pdf), pages 18, 19) to Matplotlib.