05/22 - Deep Learning Hands-On Series - Data Exploration and API First Design 🎥
05/29 - Deep Learning Hands-On Series - Model Tuning 🎥
06/05 - Deep Learning Hands-On Series - Monitoring [cancelled]
Mohcine Madkour mohcinemadkour
upkarlidder
/ dl-resources.md
Last active
June 18, 2022 08:32
Deep Learning Hands-On Series with Eric Schles
chk1
/ __install-traccar.md
Last active
April 20, 2022 00:41
Building/installing Traccar with a Maven Docker container
... without installing Maven on your computer. This process will use the Docker container maven:3.5-jdk-8-alpine instead of a local Maven installation.
I used Ubuntu 16.04 server with the NGINX webserver.
Traccar can now be run in Docker without building it yourself, just get the container from Docker Hub: https://hub.docker.com/r/traccar/traccar/
rondy
/ Effective_Engineer.md
Last active
June 23, 2024 23:18
FWIW: I (@rondy) am not the creator of the content shared here, which is an excerpt from Edmond Lau's book. I simply copied and pasted it from another location and saved it as a personal note, before it gained popularity on news.ycombinator.com. Unfortunately, I cannot recall the exact origin of the original source, nor was I able to find the author's name, so I am can't provide the appropriate credits.
- By Edmond Lau
- Highly Recommended 👍
- http://www.theeffectiveengineer.com/
bayesball
/ heat_plot.R
Created
September 17, 2016 14:47
Constructs heat map of probability of a hit or home run for a specific player from pitchFX data
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| heat_plot <- function(player, d, HR=FALSE){ | |
| # inputs | |
| # player - name of player | |
| # d - pitchRX data frame with variables Batter, Event, and X, Z (location of pitch) | |
| # will output a ggplot2 object | |
| # need to use print function to display the pot | |
| require(dplyr) | |
| require(ggplot2) | |
| require(mgcv) | |
| # define the strike zone |
bluekvirus
/ flask-uWSGI-nginx.md
Last active
July 19, 2022 20:26
How To Serve Flask Applications with uWSGI and Nginx on Ubuntu 14.04+
@credit Yan Zhu (https://github.com/nina-zhu)
Flask is a microframework for Python based on Werkzeug, Jinja 2 and good intentions, it can help you get your Python application or website off the ground. Flask includes a simplified development server for testing your code locally, but for anything even slightly production related, a more secure and powerful web server is required.
In this guide, we will demonstrate how to install and configure some components on Ubuntu 14.04 to support and serve Flask applications. We will configure the uWSGI application container server to interface with our applications. We will then set up Nginx to reverse proxy to uWSGI, giving us access to its security and performance features to serve our apps.
tasdikrahman
/ python_tests_dir_structure.md
Last active
May 9, 2024 19:46
Typical Directory structure for python tests
Ref : stackoverflow
The best solution in my opinion is to use the unittest [command line interface][1] which will add the directory to the sys.path so you don't have to (done in the TestLoader class).
For example for a directory structure like this:
new_project
├── antigravity.py
As configured in my dotfiles.
start new:
tmux
start new with session name:
nuxlli
/ sublime_text_2_useful_shortcuts.md
Created
September 9, 2011 18:51
— forked from lucasfais/gist:1207002
Sublime Text 2 - Useful Shortcuts