1604059200
The Google Form Notifications add-on lets you automatically send Google Form responses in an email message to one or more recipients. The email notifications are dispatched the moment your form receives a new submission.
The more recent version of the Google Form addon includes support for QR Code and Barcode symbols that you can embed in the email messages. The images can be generated from static text or you can create dynamic images based on answers submitted by the user.
The basic syntax for adding QR Code images in emails is:
=QRCODE(Your Text Goes Here)
You can customize the colors and size of the QR code image by adding key-value pairs in the QRCODE
function.
For instance, if you would like the QRCode to have Indigo background and the QRCode should be itself in white color, the modified formula with the hex color codes would be:
=QRCODE(TEXT textcolor=#FFFFFF backgroundcolor=#4B0082)
The QR Code images have a default width of 300px but if you customize the size with the width
parameter as shown below:
=QRCODE(TEXT width=225)
Until now, we have seen examples of static text but the Google Forms addon can also create QR Code images from text in Google Form Answers using placeholders.
For instance, if your Google has a question title “What is your website address?”, you can use a QR Code function like the one below. This will turn the user’s answer into a dynamic QR code that, on scanning, will take you to the form respondent’s website.
=QRCODE({{WWhat is your website address}} textcolor=#4B0082)
The Email Notifications add-on also includes support for BARCODE
function to help you embed barcode images in PNG format for EAN, UPC, ISBN, postal codes, GS1 Database and all other popular formats.
The basic syntax for barcode function is:
=BARCODE(TEXT format=CODE39)
For instance, if you would like to embed the barcode image for a book whose ISBN-13 code is 9781786330895, the function would be:
=BARCODE(9781786330895 format=EAN13 includetext=true)
The includetext=true
parameter would ensure that the text for data is included into the barcode image.
#google forms email notifications #qr codes #barcode #archives
1604059200
The Google Form Notifications add-on lets you automatically send Google Form responses in an email message to one or more recipients. The email notifications are dispatched the moment your form receives a new submission.
The more recent version of the Google Form addon includes support for QR Code and Barcode symbols that you can embed in the email messages. The images can be generated from static text or you can create dynamic images based on answers submitted by the user.
The basic syntax for adding QR Code images in emails is:
=QRCODE(Your Text Goes Here)
You can customize the colors and size of the QR code image by adding key-value pairs in the QRCODE
function.
For instance, if you would like the QRCode to have Indigo background and the QRCode should be itself in white color, the modified formula with the hex color codes would be:
=QRCODE(TEXT textcolor=#FFFFFF backgroundcolor=#4B0082)
The QR Code images have a default width of 300px but if you customize the size with the width
parameter as shown below:
=QRCODE(TEXT width=225)
Until now, we have seen examples of static text but the Google Forms addon can also create QR Code images from text in Google Form Answers using placeholders.
For instance, if your Google has a question title “What is your website address?”, you can use a QR Code function like the one below. This will turn the user’s answer into a dynamic QR code that, on scanning, will take you to the form respondent’s website.
=QRCODE({{WWhat is your website address}} textcolor=#4B0082)
The Email Notifications add-on also includes support for BARCODE
function to help you embed barcode images in PNG format for EAN, UPC, ISBN, postal codes, GS1 Database and all other popular formats.
The basic syntax for barcode function is:
=BARCODE(TEXT format=CODE39)
For instance, if you would like to embed the barcode image for a book whose ISBN-13 code is 9781786330895, the function would be:
=BARCODE(9781786330895 format=EAN13 includetext=true)
The includetext=true
parameter would ensure that the text for data is included into the barcode image.
#google forms email notifications #qr codes #barcode #archives
1619247660
The liquid-cooled Tensor Processing Units, built to slot into server racks, can deliver up to 100 petaflops of compute.
The liquid-cooled Tensor Processing Units, built to slot into server racks, can deliver up to 100 petaflops of compute.
As the world is gearing towards more automation and AI, the need for quantum computing has also grown exponentially. Quantum computing lies at the intersection of quantum physics and high-end computer technology, and in more than one way, hold the key to our AI-driven future.
Quantum computing requires state-of-the-art tools to perform high-end computing. This is where TPUs come in handy. TPUs or Tensor Processing Units are custom-built ASICs (Application Specific Integrated Circuits) to execute machine learning tasks efficiently. TPUs are specific hardware developed by Google for neural network machine learning, specially customised to Google’s Machine Learning software, Tensorflow.
The liquid-cooled Tensor Processing units, built to slot into server racks, can deliver up to 100 petaflops of compute. It powers Google products like Google Search, Gmail, Google Photos and Google Cloud AI APIs.
#opinions #alphabet #asics #floq #google #google alphabet #google quantum computing #google tensorflow #google tensorflow quantum #google tpu #google tpus #machine learning #quantum computer #quantum computing #quantum computing programming #quantum leap #sandbox #secret development #tensorflow #tpu #tpus
1604008800
Static code analysis refers to the technique of approximating the runtime behavior of a program. In other words, it is the process of predicting the output of a program without actually executing it.
Lately, however, the term “Static Code Analysis” is more commonly used to refer to one of the applications of this technique rather than the technique itself — program comprehension — understanding the program and detecting issues in it (anything from syntax errors to type mismatches, performance hogs likely bugs, security loopholes, etc.). This is the usage we’d be referring to throughout this post.
“The refinement of techniques for the prompt discovery of error serves as well as any other as a hallmark of what we mean by science.”
We cover a lot of ground in this post. The aim is to build an understanding of static code analysis and to equip you with the basic theory, and the right tools so that you can write analyzers on your own.
We start our journey with laying down the essential parts of the pipeline which a compiler follows to understand what a piece of code does. We learn where to tap points in this pipeline to plug in our analyzers and extract meaningful information. In the latter half, we get our feet wet, and write four such static analyzers, completely from scratch, in Python.
Note that although the ideas here are discussed in light of Python, static code analyzers across all programming languages are carved out along similar lines. We chose Python because of the availability of an easy to use ast
module, and wide adoption of the language itself.
Before a computer can finally “understand” and execute a piece of code, it goes through a series of complicated transformations:
As you can see in the diagram (go ahead, zoom it!), the static analyzers feed on the output of these stages. To be able to better understand the static analysis techniques, let’s look at each of these steps in some more detail:
The first thing that a compiler does when trying to understand a piece of code is to break it down into smaller chunks, also known as tokens. Tokens are akin to what words are in a language.
A token might consist of either a single character, like (
, or literals (like integers, strings, e.g., 7
, Bob
, etc.), or reserved keywords of that language (e.g, def
in Python). Characters which do not contribute towards the semantics of a program, like trailing whitespace, comments, etc. are often discarded by the scanner.
Python provides the tokenize
module in its standard library to let you play around with tokens:
Python
1
import io
2
import tokenize
3
4
code = b"color = input('Enter your favourite color: ')"
5
6
for token in tokenize.tokenize(io.BytesIO(code).readline):
7
print(token)
Python
1
TokenInfo(type=62 (ENCODING), string='utf-8')
2
TokenInfo(type=1 (NAME), string='color')
3
TokenInfo(type=54 (OP), string='=')
4
TokenInfo(type=1 (NAME), string='input')
5
TokenInfo(type=54 (OP), string='(')
6
TokenInfo(type=3 (STRING), string="'Enter your favourite color: '")
7
TokenInfo(type=54 (OP), string=')')
8
TokenInfo(type=4 (NEWLINE), string='')
9
TokenInfo(type=0 (ENDMARKER), string='')
(Note that for the sake of readability, I’ve omitted a few columns from the result above — metadata like starting index, ending index, a copy of the line on which a token occurs, etc.)
#code quality #code review #static analysis #static code analysis #code analysis #static analysis tools #code review tips #static code analyzer #static code analysis tool #static analyzer
1619071142
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1593321480
In addition to sending emails, the Google Forms add-on can be easily configured to send push notifications to your mobile phones and tablets as well. That means when respondents complete and submit your online Google Form, you’ll instantly get a real-time notification (sample) on your iPhone or Android phone.
The rich push notifications on your mobile can include answers from the Google Form as well as a link to the submitted form so you can tap the notification and view the complete form response on your mobile phone.
A fast response time is a key to success, especially in areas like customer service and closing sales leads, and mobile push notifications will ensure that your important form entries are never lost in the daily deluge of emails.
It takes a few easy steps (video to get up and running.
Install the Email Notifications for Google Forms from the Google add-on store.
Install the IFTTT mobile app on your Android or iPhone. The app will work on the iPad and Android tablets as well.
Next, we need to create a connection between our Google Form and the IFTTT app so that mobile notifications are triggered on the mobile phone immediately after the form is submitted.
Open ifttt.com on your desktop and create a new applet. Choose the Webhooks
service for if this
condition and select the “Receive a web request” trigger. Set the Event name as the name of your Google Form. Click the Create Trigger button to complete this step.
For the if this then that
action, choose Notifications as the service and choose the “Send a rich notification from the IFTTT app” action.
On the next screen, select Add Ingredient
for the Title field and choose {{Value 1}}
. Similarly choose {{Value 2}}
for Message and {{Value 3}}
for the Link URL. Click the “Create Action” button and then press “Finish” (this is important) to make your IFTTT applet live.
#android #archives #google forms #guides #iphone #google forms email notifications