MartGro

https://bioconda.github.io/recipes/rmats/README.html

1) install it via conda
conda install rmats -c bioconda

2) check 
which rmats.py

MartGro

Places where you can find recordings of radio signals with different modulations:

https://www.sdrangel.org/iq-files/
https://www.sdrplay.com/iq-demo-files/
https://lucasteske.dev/satcom-projects/sample-baseband-files

MartGro

# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: linux-64
_libgcc_mutex=0.1=main
_openmp_mutex=5.1=1_gnu
argcomplete=3.1.1=pypi_0
argh=0.27.2=pypi_0
biopython=1.79=pypi_0
ca-certificates=2023.7.22=hbcca054_0
certifi=2016.9.26=py36_0

MartGro

1. Get the Driver

Download the driver from the following link:

https://www.sdrplay.com/dlfinishs/

2. Follow the Instructions of CubicSDR

For instructions on how to build CubicSDR on Linux, refer to the following link:

MartGro

import sys
from PyQt5.QtWidgets import QApplication, QLabel
from PyQt5.QtGui import QPixmap

class ImageWidget(QLabel):
    """
    A QLabel widget that displays an image from a file
    """
    def __init__(self, parent=None):
        """

MartGro

Aligning > 1MB long sequences (e.g. long DNA sequences) can take quite long with Needleman Wunsch

An alternative is using the BWA:
http://bioinformatics-core-shared-training.github.io/cruk-bioinf-sschool/Day1/Sequence%20Alignment_July2015_ShamithSamarajiwa.pdf

#1 Create index:
../bwa-0.7.17/bwa index -p index_path -a bwtsw dna_reference.fasta 


./bwa-0.7.17/bwa mem -t 16 index_path dna_of_interest.fasta | ./samtools-1.16.1/samtools sort -o output.bam -

MartGro

# This relies on the read-roi library from here: https://github.com/hadim/read-roi
# Additionally, it requires shapely for the polygons 
# And ray for parallelizing

from read_roi import read_roi_zip
import glob

#find all roi zip files
all_zip_path = glob.glob("your_folder/*.zip")

MartGro

1) Download FlatCAM_beta_8.994_sources

2) Python 3.8

3) Manually install gdal from conda

4) Bug fixes: 
- Vector bug fix

MartGro

Übersicht: https://alte-gemuesesorten-erhalten.de/unsere-sorten/bezugsquellen/

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Online-Shop der Samenbau Nordost Kooperative (https://samenbau-nordost.de/shop/?orderby=popularity) (Saatgut von den Betrieben Keimzelle, Landwirtschaftsbetrieb Johannishöhe, Saatgut- und Permakulturgarten Alt-Rosenthal, Saatguterhaltung & Jungpflanzen Albrecht Vetters, Samenbau Grete Peschken)

Online-Shop vom VERN e.V. (https://vern.de/bestellung/saatgut-bestellung) (Saatgut aus dem Erhaltungsgarten des VERN sowie von den Mitgliedsbetrieben Keimzelle, Landwirtschaftsbetrieb Johannishöhe, Saatgut- und Permakulturgarten Alt-Rosenthal, deinHof e.V., Gärtnerei Apfeltraum, Samenbau und Blumen Alexandra Becker)

Online-Shop von Dreschflegel (https://www.dreschflegel-shop.de/) (Saatgut von Samenbau Grete Peschken, Sonnensamen – Saatzucht Marcus Ströhla und weiteren 22 Betrieben)

Online-Shop vom Bio-Lieferservice „Der Landkorb“ (Saatgut vom Betrieb Keimzelle)

MartGro

A collection of useful tools for simulating solar power installations with python

PVLIB:

https://github.com/pvlib/pvlib-python https://pvlib-python.readthedocs.io/en/stable/index.html

pvlib python is a community supported tool that provides a set of functions and classes for simulating the performance of photovoltaic energy systems. pvlib python was originally ported from the PVLIB MATLAB toolbox developed at Sandia National Laboratories and it implements many of the models and methods developed at the Labs. More information on Sandia Labs PV performance modeling programs can be found at the PVPMC. We collaborate with the PVLIB MATLAB project, but operate independently of it.

Prosumpy

https://github.com/energy-modelling-toolkit/prosumpy