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Deploy .net core to Heroku

Steps:

1. Create Dockerfile on solution root
2. Add .dockerignore
3. Include code below to Program.cs

      public static IHostBuilder CreateHostBuilder(string[] args) =>

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Creating React Native Authentication

Creating a complete authentication flow using context-api. (Step-by-step)

This flow can be replicated to React-JS (Web)

Creating App

npx react-native init reactNativeAuth --template react-native-template-typescript

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Error: Fix error: ProjectName.debug.xcconfig unable to open file

error: projectName/Pods/Pods...ProjectName.debug.xcconfig unable to open file

pod deintegrate
pod install

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Prepare certificates to Apple Push Notification Service

Convert .P12

openssl pkcs12 -nocerts -out PushChatKey.pem -in push-service.p12

Convert CER

openssl x509 -in aps.cer -inform der -out PushChatCert_prod.pem

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# CS50x
# Generates a QR code
# https://github.com/lincolnloop/python-qrcode

import qrcode

# Generate QR code
img = qrcode.make("https://www.redologic.com.br")

# Save as file

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# CS50x
# Recognizes a voice
# https://pypi.org/project/SpeechRecognition/

import speech_recognition

# Obtain audio from the microphone
recognizer = speech_recognition.Recognizer()
with speech_recognition.Microphone() as source:
    print("Say something!")

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# CS50x
# Responds to a name
# https://pypi.org/project/SpeechRecognition/

import re
import speech_recognition

# Obtain audio from the microphone
recognizer = speech_recognition.Recognizer()
with speech_recognition.Microphone() as source:

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# CS50x
# Identify and draw box on person
# https://github.com/ageitgey/face_recognition/blob/master/examples/identify_and_draw_boxes_on_faces.py

import face_recognition
import numpy as np
from PIL import Image, ImageDraw

# Load a sample picture and learn how to recognize it.
known_image = face_recognition.load_image_file("malan.jpg")

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# CS50x
# Find faces in picture
# https://github.com/ageitgey/face_recognition/blob/master/examples/find_faces_in_picture.py

from PIL import Image
import face_recognition

# Load the jpg file into a numpy array
image = face_recognition.load_image_file("yale.jpg")

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Manipulating Audio and Video

https://ffmpeg.org/

Verify there is silence at the end

ffmpeg -i audio.wav -af silencedetect=n=-50dB:d=0.5 -f null - 2>&1 | grep -Eo "silence_(start|end)" | tail -n 1 | grep "start" | wc -l