This text presents type stability, which is one of the important concepts that one needs to understand in order to write high-performance Julia… (more…)
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“Any sufficiently advanced technology is indistinguishable from magic,” go the famous words of Arthur C. Clarke. Often when we see magic, a small dose of knowledge is enough to wash away our wide-eyed awe and bring us back to sweet, comfortable cynicism. ... (more…)
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Summary
This PR parallelizes the GC mark-loop by introducing GC threads into the Julia runtime and by implementing work-stealing to dynamically balance the amount of work each thread performs in th... (more…)
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Julia is able to run very well on you Ipython notebook Environment. After all, All you have to do is Data-Science and Machine-Learning. :) 2. DataFrames: Whenever you have to read lot of files in… (more…)
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