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fixing some language typos

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rasbt 2018-01-11 23:00:18 -05:00
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commit 7749d69cb3
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tutorials/multiprocessing_intro.ipynb
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@ -348,7 +348,7 @@
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
"source": [ "source": [
"**A simpler way to to maintain an ordered list of results is to use the `Pool.apply` and `Pool.map` functions which we will discuss in the next section.**" "**A simpler way to maintain an ordered list of results is to use the `Pool.apply` and `Pool.map` functions which we will discuss in the next section.**"
] ]
}, },
{ {
@ -379,7 +379,7 @@
"source": [ "source": [
"Another and more convenient approach for simple parallel processing tasks is provided by the `Pool` class. \n", "Another and more convenient approach for simple parallel processing tasks is provided by the `Pool` class. \n",
"\n", "\n",
"There are four methods that are particularly interesing:\n", "There are four methods that are particularly interesting:\n",
"\n", "\n",
" - Pool.apply\n", " - Pool.apply\n",
" \n", " \n",
@ -451,7 +451,7 @@
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
"source": [ "source": [
"The `Pool.map` and `Pool.apply` will lock the main program until all a process is finished, which is quite useful if we want to obtain resuls in a particular order for certain applications. \n", "The `Pool.map` and `Pool.apply` will lock the main program until all processes are finished, which is quite useful if we want to obtain results in a particular order for certain applications. \n",
"In contrast, the `async` variants will submit all processes at once and retrieve the results as soon as they are finished. \n", "In contrast, the `async` variants will submit all processes at once and retrieve the results as soon as they are finished. \n",
"One more difference is that we need to use the `get` method after the `apply_async()` call in order to obtain the `return` values of the finished processes." "One more difference is that we need to use the `get` method after the `apply_async()` call in order to obtain the `return` values of the finished processes."
] ]
@ -759,7 +759,7 @@
"source": [ "source": [
"Below, we will set up benchmarking functions for our serial and multiprocessing approach that we can pass to our `timeit` benchmark function. \n", "Below, we will set up benchmarking functions for our serial and multiprocessing approach that we can pass to our `timeit` benchmark function. \n",
"We will be using the `Pool.apply_async` function to take advantage of firing up processes simultaneously: Here, we don't care about the order in which the results for the different window widths are computed, we just need to associate each result with the input window width. \n", "We will be using the `Pool.apply_async` function to take advantage of firing up processes simultaneously: Here, we don't care about the order in which the results for the different window widths are computed, we just need to associate each result with the input window width. \n",
"Thus we add a little tweak to our Parzen-density-estimation function by returning a tuple of 2 values: window width and the estimated density, which will allow us to to sort our list of results later." "Thus we add a little tweak to our Parzen-density-estimation function by returning a tuple of 2 values: window width and the estimated density, which will allow us to sort our list of results later."
] ]
}, },
{ {
@ -1097,7 +1097,7 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.6.1" "version": "3.6.3"
} }
}, },
"nbformat": 4, "nbformat": 4,