bitsurgeon

Embed YouTube Video in Markdown File

1. Markdown style

[![Watch the video](https://img.youtube.com/vi/nTQUwghvy5Q/default.jpg)](https://youtu.be/nTQUwghvy5Q)

2. HTML style

<a href="http://www.youtube.com/watch?feature=player_embedded&v=nTQUwghvy5Q" target="_blank">

Nov05

👉 Udacity Deep Reinforcement Learning Python Environment Setup

⚠️ Python 3.11 has to be downgraded to Python 3.10, or Multiprocessing will cause TypeError: code() argument 13 must be str, not int in both Windows and Linux. Google Colab is currently using Python 3.10 as well.

• Windows 11 (64-bit), VSCode, Powershell, Miniconda3, Python 3.10
• repo: https://github.com/Nov05/udacity-deep-reinforcement-learning
• working dir: D:\github\ udacity-deep-reinforcement-learning\python
• package deeprl is copied and modified from https://github.com/ShangtongZhang/DeepRL/tree/master/ deep_rl into .\python.

korakot

# install chromium, its driver, and selenium
!apt update
!apt install libu2f-udev libvulkan1
!wget https://dl.google.com/linux/direct/google-chrome-stable_current_amd64.deb
!dpkg -i google-chrome-stable_current_amd64.deb
!wget https://edgedl.me.gvt1.com/edgedl/chrome/chrome-for-testing/118.0.5993.70/linux64/chromedriver-linux64.zip
!unzip -j chromedriver-linux64.zip chromedriver-linux64/chromedriver -d /usr/local/bin/
!pip install selenium chromedriver_autoinstaller

# set options to be headless, ..

bishboria

These links no longer work. Springer have pulled the free plug.

Graduate texts in mathematics

duplicates = multiple editions

A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen

A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen

Nov05

Udacity Deep Reinforcement Learning - p1 env setup

👉 for the course projcts, Unity MLAgents - Banana Collector, etc.
👉 go to the Banana and VisualBanana notebooks
👉 go to the course repo
👉 check course curriculum

---

Window 11, VSCode, Minicoda, Powershell

gengwg

Enumerating objects: 3, done.
Counting objects: 100% (3/3), done.
Delta compression using up to 4 threads
Compressing objects: 100% (2/2), done.
Writing objects: 100% (3/3), 681 bytes | 681.00 KiB/s, done.
Total 3 (delta 0), reused 0 (delta 0)
remote: error: GH007: Your push would publish a private email address.
remote: You can make your email public or disable this protection by visiting:
remote: http://github.com/settings/emails

pbochynski

Configure IAS tenant

1. Go to your IAS tenant admin page: https://mytenant.accounts.ondemand.com/admin

2. Go to Applications & Resources -> Tenant Settings -> OpenID Connect Configuration, and select the Name value from a dropdown list. Choose the one starting with https.

3. Go to Applications & Resources -> Applications and add new Application. Name it (e.g. kyma) and configure it:

   • set Type to OpenID Connect
   • in OpenID Connect Configuration set name (kyma) and add RedirectURI: https://dex.mykymacluster.domain/callback
   • set HTTP Basic Authentication: provide password and copy generated User ID (e.g. T000005)
   • in Assertion Attributes make sure User Attribute E-mail is mapped to Assertion Attribute email (not mail), and First Name to name

emredjan

'''
Load Yelp JSON files and spit out CSV files
Does not try to reinvent the wheel and uses pandas json_normalize
Kinda hacky and requires a bit of RAM. But works, albeit naively.

Tested with Yelp JSON files in dataset challenge round 12:
https://www.yelp.com/dataset/challenge
'''

import json

gilrosenthal

!pip install fastai
!apt-get -qq install -y libsm6 libxext6 && pip install -q -U opencv-python
import cv2
from os import path
from wheel.pep425tags import get_abbr_impl, get_impl_ver, get_abi_tag
platform = '{}{}-{}'.format(get_abbr_impl(), get_impl_ver(), get_abi_tag())

accelerator = 'cu80' if path.exists('/opt/bin/nvidia-smi') else 'cpu'

!pip install -q http://download.pytorch.org/whl/{accelerator}/torch-0.3.0.post4-{platform}-linux_x86_64.whl torchvision

tommyjtl