timotheos

sleep 1500 && gedit -b; sleep 60 && killall gedit

sleep 1500 && notify-send break

sleep 1500 && osascript -e "display notification "Break time. Remember not to do anything related to the project and just relax" with title "Pomodoro""

timotheos

Credits to dayvough

https://gist.github.com/dayvough/ebc3a2fd7bb62cf02916827acf7c5738/

Vars

app_dir = /home/deploy/app_name

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upstream app_name {
  server unix:///home/deploy/app_name/shared/pids/unicorn.sock;
}

server {
  listen 80;

  server_name example.com;

  root /home/deploy/app_name/current/public;

timotheos

Port Selection Cheatsheet

(Obtained from Pearson IT Certification){http://www.pearsonitcertification.com/articles/article.aspx?p=1868080}

Common TCP/IP Protocols and Ports

FTP - TCP - 20/21
SSH - TCP - 22
Telnet - TCP - 23 - (Unsecure)
SMTP (Simple Mail Transfer Protocol) - TCP - 25
DNS - TCP/UDP - 53

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Raspberry Pi ssh as access point

Still under construction

Steps

1. Download from Official Ubuntu website or (Ubuntu Pi Flavour Maker)[https://ubuntu-pi-flavour-maker.org/download/]
2. Flash to SD card.
3. If downloaded from Official website, follow instructions before inserting sd card and booting.
4. Plug Raspberry Pi in, SSH using ssh ubuntu@ip-address-here with password ubuntu, change password.
5. Change username. Instructions here sudo adduser myUserName, sudo usermod -aG sudo myUserName && sudo userdel ubuntu ref
6. Setup locale by editing .bashrc

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import numpy as np

class_1 = np.array([[4,1],[2,4],[2,3],[3,6],[4,4]], dtype=np.float64)
class_2 = np.array([[9,10],[6,8],[9,5],[8,7],[10,8]], dtype=np.float64)
m_1, m_2, s_1, s_2, s_w = ([] for i in range(5))

m_1 = np.append(m_1, np.sum(class_1, axis=0)/len(class_1), axis=0)
m_2 = np.append(m_2, np.sum(class_2, axis=0)/len(class_2), axis=0)

print("m_1:", m_1, "\nm_2:", m_2)

timotheos

Installation of Tensorflow and Keras

Obtained from naomi.fridman

Install Miniconda

• Miniconda bach download
• '$ bash Miniconda3-latest-Linux-x86_64.sh'

Install Nvidia drivers

driver installation

• '$ sudo apt update'

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References

3D Deep Learning

• 3D ML compilations
  • Compilation by Tim Zhang
  • A Review on Deep Learning TechniquesApplied to Semantic Segmentation
  • A Review on Deep Learning Techniques for 3D Sensed Data Classification
• Pointnet
  • standford.edu
• github

timotheos

–ctrl a c           -> cre­ate new win­dow
–ctrl a A           -> set win­dow name
–ctrl a w           -> show all win­dow
–ctrl a 1|2|3|…   -> switch to win­dow n
–ctrl a ”           -> choose win­dow
–ctrl a ctrl a      -> switch between win­dow
–ctrl a d           -> detach win­dow
–ctrl a ?           -> help
–ctrl a [           -> start copy, move cur­sor to the copy loca­tion, press ENTER, select the chars, press ENTER to copy the selected char­ac­ters to the buffer
–ctrl a ]           -> paste from buffer

timotheos

def age_to_year(age):
    year = 2021 + 100 - int(age)
    return year

name = str(input("name?"))
age = int(input("age?"))
multiplier = int(input("How many times?"))

for multiply in range(multiplier): 
    print(name + " will turn 100 years old in " + str(age_to_year(age)))