Implementing YOLO from scratch detailing how to create the network architecture from a config file, load the weights and designing input/output pipelines.
- JavaScript 4 Python Programmers
- AP CS Principles - Student Edition
- AP CSP - Teacher
- AP CSA Java Review
- C++ for Python Programmers
- Problem Solving with Algorithms and Data Structures using C++
- AP CS Awesome
- Foundations of Python Programming
- How to Think Like a Data Scientist
- Runestone Interactive Overview
- Java for Python Programmers
- Learn Computer Graphics using WebGL
- Runestone Interactive Overview
- Problem Solving with Algorithms and Data Structures
- Solución de problemas con algoritmos y estructuras de datos
- How to Think like a Computer Scientist: Interactive Edition
- Fundamentals of Web Programming
This blog post is going to be a little different to the previous few posts, there will be essentially no mathematics nor code. It is not intended as a how to or instructional post, merely a repository for my current opinions.
Many programming guides recommend to begin scripts with the #! /usr/bin/env shebang in order to to automatically locate the necessary interpreter. For example, for a Python script you would use #! /usr/bin/env python, and then the saying goes, the script would “just work” on any machine with Python installed. The reason for this recommendation is that /usr/bin/env python will search the PATH for a program called python and execute the first one found… and that usually works fine on one’s own machine.
PyX is a Python package for the creation of PostScript, PDF, and SVG files. It combines an abstraction of the PostScript drawing model with a TeX/LaTeX interface. Complex tasks like 2d and 3d plots in publication-ready quality are built out of these primitives.
- Although given problem reported on Ubuntu 17.04, encountered same issue on Ubuntu 18.04, on installing opencv3 using:
conda install --channel https://conda.anaconda.org/menpo opencv3
- given advice fixed the problem ! i.e. to use pip instead of conda
Programmers think dynamic languages like Python are easier to use than static ones, but why? I look at uniquely dynamic programming idioms and their static alternatives, identifying a few broad trends that impact language usability.
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