Then try it out for yourself. Get awesome at algorithmic questions, or just see how you stack up. Free, fully anonymous mock interviews with engineers from Google, LinkedIn, and more.
Implementing YOLO from scratch detailing how to create the network architecture from a config file, load the weights and designing input/output pipelines.
"In computer science, syntactic sugar is syntax within a programming language that is designed to make things easier to read or to express. It makes the language "sweeter" for human use: things can be expressed more clearly, more concisely, or in an alternative style that some may prefer." -- https://en.wikipedia.org/wiki/Syntactic_sugar
Ability to perform symbolic computations is a crucial component of any mathematics-oriented package. Symbolic mathematics is used to work with complex expres...
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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.
A common technique to debug in Python is to add this line at a place which you want to observe: When you run the Python code and the interpreter hits this line, it drops you into a Python debugger prompt. You can inspect local variables and step through code from here. An irritating problem here…
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.
Overview Threads and locks are a software-defined formalization of the hardware underneath, and as such comprise the simplest possible concurrency model. It forms the basis of other concurrency abstractions built on top of it, so it’s important to understand in this regards. However, it’s difficult or impossible to build reliable, scalable systems directly on these primitives. While most every language has support for threads and locks, CPython remains special in its use of a global interpreter lock that prevents threads from concurrently accessing shared memory, because CPython’s memory management is not thread-safe.
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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.