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- 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 curated list of awesome Rust Swift iOS Android Python Java PHP Ruby C++ JavaScript .Net Nodejs Go Golang Linux React Vue frameworks, libraries, software and resourcese
Ability to perform symbolic computations is a crucial component of any mathematics-oriented package. Symbolic mathematics is used to work with complex expres...
"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
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…
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.