Aleksandr Smirnov rodnaxel

## geo2rect.py
# Географические координаты точки (в градусах)
dLon = 37.618  # Долгота (положительная для восточного полушария)
dLat = 55.752  # Широта (положительная для северного полушария)

# Номер зоны Гаусса-Крюгера (если точка рассматривается в системе
# координат соседней зоны, то номер зоны следует присвоить вручную)
zone = int(dLon/6.0+1)

# Импорт математических функций
from math import sin, cos, tan, pi

## qt-project.pro
# Add this line below to your pro-file

# Deployment
CONFIG(debug, debug|release ) {

} else {
    DESTDIR = distrib
    DEPLOY_TARGET = $${OUT_PWD}/$${DESTDIR}
    PATH_TO_QML_FILES = $${PWD}/

## qt-plotly-demo.py
import sys

from PyQt5.QtWidgets import QApplication, QMainWindow, QPushButton
from PyQt5.QtWebEngineWidgets import QWebEngineView
from PyQt5.QtCore import QDir, QUrl

import plotly
import plotly.graph_objects as go


## raspi-setup-gitea.md

      
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                rodnaxel
                / raspi-setup-gitea.md
            
            
              Created
              May 4, 2021 14:55
                — forked from afragen/raspi-setup-gitea.md
            
              
                Installing Gitea on Raspberry Pi 3 b+ with nginx and automatic backups
              
          
    Setup Gitea on Raspberry Pi (3b+)

These instructions are based on this article: https://docs.gitea.io/en-us/install-from-source/.
Setup Raspberry Pi with minimal Raspbian image. You need to connect to the HDMI port and set the following:
Use Noobs to install Raspian.
Open menu Preferences > Raspberry Pi Settings

  
## configure_kivy_rpi3.sh
# Build libsdl2
sudo apt build-dep libsdl2
wget http://www.libsdl.org/tmp/SDL-2.0.zip
unzip SDL-2.0.zip
cd SDL-2.0.15-14858
./configure
make
sudo make install

# Copy libsdl2 files to /usr/lib/arm-linux-gnueabihf/

## raspberry-pi-chroot-armv7-qemu.md

      
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                rodnaxel
                / raspberry-pi-chroot-armv7-qemu.md
            
            
              Created
              November 13, 2020 05:42
                — forked from jkullick/raspberry-pi-chroot-armv7-qemu.md
            
              
                Chroot into Raspberry Pi ARMv7 Image with Qemu
              
          
    # install dependecies
apt-get install qemu qemu-user-static binfmt-support

# download raspbian image
wget https://downloads.raspberrypi.org/raspbian_latest

# extract raspbian image
unzip raspbian_latest

  
## vscode_initialize.py
#! /usr/bin/env python3

import argparse
import sys
import os, os.path
import subprocess
import json


# Template tasks (use to compile)

## py_mount.py
import os
import subprocess


def cmd(args: list, as_root=False):
    args = args if not as_root else  ['root'].extend(args)
    print(args)
    result = subprocess.run(args,
        capture_output=True,
        shell=False,

## formatter51.py
import argparse
import re

INDENT = 4 * " "
pattern = r"(?P<label>\w+:)?(?P<code>[^;]*)?;?(?P<comment>.*)?"


def parse_label(line: str) -> str:
    if not line:
        return ''

## create_datascience_env.sh
# Create virtualenv used to pipenv
mkdir datascience/
cd datascience/
pipenv install --python 3.7
pipenv shell

# Install neccesary package
pipenv install numpy pandas jupyter ipython plotly matplotlib

# Install support plotly
	# Географические координаты точки (в градусах)
	dLon = 37.618 # Долгота (положительная для восточного полушария)
	dLat = 55.752 # Широта (положительная для северного полушария)

	# Номер зоны Гаусса-Крюгера (если точка рассматривается в системе
	# координат соседней зоны, то номер зоны следует присвоить вручную)
	zone = int(dLon/6.0+1)

	# Импорт математических функций
	from math import sin, cos, tan, pi
	# Add this line below to your pro-file

	# Deployment
	CONFIG(debug, debug\|release ) {

	} else {
	DESTDIR = distrib
	DEPLOY_TARGET = $${OUT_PWD}/$${DESTDIR}
	PATH_TO_QML_FILES = $${PWD}/
	import sys

	from PyQt5.QtWidgets import QApplication, QMainWindow, QPushButton
	from PyQt5.QtWebEngineWidgets import QWebEngineView
	from PyQt5.QtCore import QDir, QUrl

	import plotly
	import plotly.graph_objects as go
	# Build libsdl2
	sudo apt build-dep libsdl2
	wget http://www.libsdl.org/tmp/SDL-2.0.zip
	unzip SDL-2.0.zip
	cd SDL-2.0.15-14858
	./configure
	make
	sudo make install

	# Copy libsdl2 files to /usr/lib/arm-linux-gnueabihf/
	#! /usr/bin/env python3

	import argparse
	import sys
	import os, os.path
	import subprocess
	import json


	# Template tasks (use to compile)
	import os
	import subprocess


	def cmd(args: list, as_root=False):
	args = args if not as_root else ['root'].extend(args)
	print(args)
	result = subprocess.run(args,
	capture_output=True,
	shell=False,
	import argparse
	import re

	INDENT = 4 * " "
	pattern = r"(?P<label>\w+:)?(?P<code>[^;])?;?(?P<comment>.)?"


	def parse_label(line: str) -> str:
	if not line:
	return ''
	# Create virtualenv used to pipenv
	mkdir datascience/
	cd datascience/
	pipenv install --python 3.7
	pipenv shell

	# Install neccesary package
	pipenv install numpy pandas jupyter ipython plotly matplotlib

	# Install support plotly