Shravanthi Mani

Your free usage under the AWS Free Tier is calculated each month across all regions and automatically applied to your bill. For example, you will receive 750.

1. Install DockerIO and change Docker to Systemd.
2. Install Kubeadm.
3. Initialize the Kubernetes cluster. Export admin config. Provision the network overlay.
4. Join worker nodes.
5. Install the Kubernetes Dashboard.

Go to Settings > Cellular > Cellular Data Options If you see this screen, your device has 5G activated If you don't see this screen, contact your carrier to confirm that your plan supports 5G Turn on Airplane Mode, then turn it off

1. Make sure to remove the heatsink and any other plastic parts from your card.
2. Place a few balls of tin foil on a tray and rest the card on them so it isn't touching the tray.
3. You'll want to bake it for around 8 minutes at 385°F.

The equivalence point is the point at which the analyte and the reagent (titrant) are present in exactly the same (equivalent) concentration

1. From the Start menu, click Control Panel, click System and Security, and then click Windows Firewall.
2. Click Advanced Settings.
3. Click Inbound Rules.
4. Click New Rule in the Actions window.
5. Click Rule Type of Port.
6. Click Next.
7. On the Protocol and Ports page click TCP.

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Correct.

Half-correct. There are exactly two shell languages that matter. Standard Linux "sh" and Non-standard Windows "bat" (a/k/a cmd.exe) and that's all there is nowadays. [When I was a kid, there was Open VMS DCL and Data General's weird shell language and RSX-11 and all kinds of great stuff. Thank God for the Posix standard.]

game.sh

python -O game.py

game.bat

python -O game.py

Interestingly the files are the same, only the extension (and the file format) had to be changed to make the various OS's happy.

If you want true one-size-fits-all cross platform, you have to remember that Python is a shell language. This kind of thing works, also.

game-startup.py

import subprocess"subprocess.Popen( "python -O game.py" )

1. Open Settings.
2. Click on Search.
3. Click on Searching Windows.
4. Click the Advanced search Indexer Settings option.
5. Click the Advanced button.
6. Click the Index Settings tab.
7. Under the "Troubleshooting" section, click the Rebuild button.
8. Click the OK button.

1. Under your repository name, click Pull requests.
2. In the "Pull Requests" list, click the pull request you'd like to close.
3. At the bottom of the pull request, below the comment box, click Close pull request.
4. Optionally, delete the branch. This keeps the list of branches in your repository tidy.

"

good = [x for x in mylist if x in goodvals]"bad  = [x for x in mylist if x not in goodvals]"

"

is there a more elegant way to do this?

"

That code is perfectly readable, and extremely clear!

# files looks like: [ ('file1.jpg', 33L, '.jpg'), ('file2.avi', 999L, '.avi'), ... ]"IMAGE_TYPES = ('.jpg','.jpeg','.gif','.bmp','.png')"images = [f for f in files if f[2].lower() in IMAGE_TYPES]"anims  = [f for f in files if f[2].lower() not in IMAGE_TYPES]"

Again, this is fine!

There might be slight performance improvements using sets, but it's a trivial difference, and I find the list comprehension far easier to read, and you don't have to worry about the order being messed up, duplicates being removed as so on.

In fact, I may go another step "backward", and just use a simple for loop:

images, anims = [], []""for f in files:"    if f.lower() in IMAGE_TYPES:"        images.append(f)"    else:"        anims.append(f)"

The a list-comprehension or using set() is fine until you need to add some other check or another bit of logic - say you want to remove all 0-byte jpeg's, you just add something like..

if f[1] == 0:"    continue"

• 1) Gain knowledge about the soil condition and how to improve it. Fertile soils are necessary to grow healthy crops. .
• 2) It is the first step into soil fertility management. .
• 3) Minimise fertiliser expenditures. .
• 4) Avoid over-fertilisation. .
• 5) Avoid soil degradation.

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Here's a great tutorial:

Authenticating twitter api with php

Quote from tutorial:

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I'll start with generators, seeing as they're the simplest case. As @zvolkov mentioned, they're functions/objects that can be repeatedly called without returning, but when called will return (yield) a value and then suspend their execution. When they're called again, they will start up from where they last suspended execution and do their thing again.

A generator is essentially a cut down (asymmetric) coroutine. The difference between a coroutine and generator is that a coroutine can accept arguments after it's been initially called, whereas a generator can't.

It's a bit difficult to come up with a trivial example of where you'd use coroutines, but here's my best try. Take this (made up) Python code as an example.

An example of where coroutines are used is lexers and parsers. Without coroutines in the language or emulated somehow, lexing and parsing code needs to be mixed together even though they're really two separate concerns. But using a coroutine, you can separate out the lexing and parsing code.

(I'm going to brush over the difference between symmetric and asymmetric coroutines. Suffice it to say that they're equivalent, you can convert from one to the other, and asymmetric coroutines--which are the most like generators--are the easier to understand. I was outlining how one might implement asymmetric coroutines in Python.)

Continuations are actually quite simple beasts. All they are, are functions representing another point in the program which, if you call it, will cause execution to automatically switch to the point that function represents. You use very restricted versions of them every day without even realising it. Exceptions, for instance, can be thought of as a kind of inside-out continuation. I'll give you a Python based pseudocode example of a continuation.

Say Python had a function called callcc(), and this function took two arguments, the first being a function, and the second being a list of arguments to call it with. The only restriction on that function would be that the last argument it takes will be a function (which will be our current continuation).

What would happen is that callcc() would in turn call foo() with the current continuation (cc), that is, a reference to the point in the program at which callcc() was called. When foo() calls the current continuation, it's essentially the same as telling callcc() to return with the value you're calling the current continuation with, and when it does that, it rolls back the stack to where the current continuation was created, i.e., when you called callcc().

The result of all of this would be that our hypothetical Python variant would print '42'.

I hope that helps, and I'm sure my explanation can be improved on quite a bit!

doxygen can generate call- and caller graphs automatically - if that suits your needs.

What I tend to do for date and/or time fields is let the user enter it in whatever format they like, then format it back to a "universal" particular format on blur of the field. Date.js is incredibly handy for both the parsing and the formatting.

Something like

$('.timeboxme').blur(function() {"    var $el = $(this);"    var theDate = Date.parse($el.val());"    if(theDate) {"        $el.val(theDate.toString("HH:mm"));"    } else {"        //it didn't appear to be a valid date/time, tell the user"    }"});

As a bonus, if you use date.js, you get some fancy tricks you can tell the user about, like "+3 hours" or "last hour" :-)

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