https://www.androidauthority.com/python-power-coder-bundle-876861/ Coding might not be the most glamorous of professions, but who cares. Coders can work from anywhere, and usually make a very good living doing it. According to Daxx.com, the average Python developer salary in the USA is $103,492.
https://mysqlserverteam.com/mysql-8-0-new-lock-free-scalable-wal-design/ The Write Ahead Log (WAL) is one of the most important components of a database. All the changes to data files are logged in the WAL (called the redo log in InnoDB). This allows to postpone the moment when
ArcGIS 10.5.1 added to the software downloads page visit https://caligari.dartmouth.edu/downloads/esri/ for details
Workshop: Introduction to Geographic Information Systems (GIS) Slides from the workshop, introducing GIS concepts, software, tools and supporting links to more information. Click to view slides.
Since Python 3.6 a new way to handle strings has become available. Suppose you have variables: name = “andy” age = 42 likes = “Python” and you want to generate a string that says: “We know someone called andy who
Tuesday, May 15th, 6:00 – 8:00pm Carson Instructional Center (Carson 61) Join us, and participants from across the Dartmouth community, as we gather together to share, teach, and learn programming skills, and, of course, enjoy some pizza!
Slidedeck from our recent workshop, “Programming with Python, Part 2, Basic Data Analysis” Date:4/19/2018, 2:00pm – 4:30pm Location:37 Dewey Field Rd, Instructional Center (1st floor) Hands-on Training: Programming with Python, Part 2 We recommend attending “Programming with Python, Part 1”
When, Why, How you’d want to use it in an academic or personal context for games, visualizations, multi-platform development. Doug Hill has been using Unity for 9 years. He’ll Show & Tell briefly, then stick around for individual discussion with
Using pytubes, numpy and matplotlib The Google Ngram viewer is a fun/useful tool that uses Google’s vast trove of data scanned from books to plot word usage over time. https://hackernoon.com/analysing-1-4-billion-rows-with-python-6cec86ca9d73