Hollie  Ratke

Hollie Ratke

1594479660

A No-Coding Experience with Amazon Honeycode

Amazon introduced the beta version of its no-code application development platform Honeycode a week ago. No-code, Low-code software development platforms aren’t anything new, they have existed in the industry for the last two decades; however, despite their presence, most of the software applications are still developed through hand-coding performed by programmers. Creating an application that can be used by businesses themselves is a wish that every enterprise is likely to have considering the time and cost incurred in the traditional development of software applications by programmers.


Honeycode Account, Workbooks & App Templates

Image by AWS on YouTube

When you create an account in Honeycode, you are an ‘Admin’ for your workbooks and apps in Honeycode. You can invite your team members to use the apps that you created. While team members can also be made admins of your workbooks and apps too, they will simply be a ‘member’ for your apps.

Honeycode works similarly to if you were to create an application directly from a spreadsheet. Honeycode users can import a ‘csv’ file into Honeycode to create a ‘Workbook’, which is a collection of apps. A few predefined app templates are available on the website, which can be readily used or modified to suit your needs. I wanted to create an application from scratch. My intention was to create a tiny app through which a user can submit Travel expenses for the business trips.

Key Components

The following are the key components for creating apps in Honeycode.

  1. Tables — Similar to any spreadsheet or database tables
  2. App Builder — Using this you can build the screens for the app
  3. Automation — For creating navigation, workflows, and notifications

Step 1. Create Tables

Tables of Travel Expense Submission App

Employee Email column is of type ‘Contact’

Creating Tables through the GUI as simple as you do in any other tool. Table columns can have standard data types. A new data type ‘Contact’ is available where you can map the Admins and Team members of your app.

#aws-honeycode #no-code #honeycode #programming #coding

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A No-Coding Experience with Amazon Honeycode
Hollie  Ratke

Hollie Ratke

1594479660

A No-Coding Experience with Amazon Honeycode

Amazon introduced the beta version of its no-code application development platform Honeycode a week ago. No-code, Low-code software development platforms aren’t anything new, they have existed in the industry for the last two decades; however, despite their presence, most of the software applications are still developed through hand-coding performed by programmers. Creating an application that can be used by businesses themselves is a wish that every enterprise is likely to have considering the time and cost incurred in the traditional development of software applications by programmers.


Honeycode Account, Workbooks & App Templates

Image by AWS on YouTube

When you create an account in Honeycode, you are an ‘Admin’ for your workbooks and apps in Honeycode. You can invite your team members to use the apps that you created. While team members can also be made admins of your workbooks and apps too, they will simply be a ‘member’ for your apps.

Honeycode works similarly to if you were to create an application directly from a spreadsheet. Honeycode users can import a ‘csv’ file into Honeycode to create a ‘Workbook’, which is a collection of apps. A few predefined app templates are available on the website, which can be readily used or modified to suit your needs. I wanted to create an application from scratch. My intention was to create a tiny app through which a user can submit Travel expenses for the business trips.

Key Components

The following are the key components for creating apps in Honeycode.

  1. Tables — Similar to any spreadsheet or database tables
  2. App Builder — Using this you can build the screens for the app
  3. Automation — For creating navigation, workflows, and notifications

Step 1. Create Tables

Tables of Travel Expense Submission App

Employee Email column is of type ‘Contact’

Creating Tables through the GUI as simple as you do in any other tool. Table columns can have standard data types. A new data type ‘Contact’ is available where you can map the Admins and Team members of your app.

#aws-honeycode #no-code #honeycode #programming #coding

Tyrique  Littel

Tyrique Littel

1604008800

Static Code Analysis: What It Is? How to Use It?

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.”

  • J. Robert Oppenheimer

Outline

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.

How does it all work?

Before a computer can finally “understand” and execute a piece of code, it goes through a series of complicated transformations:

static analysis workflow

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:

Scanning

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., 7Bob, 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

nancy martin

1626419753

Activate Amazon Prime || Amazon Activate MyTv || Amazon.com mytv

Amazon Activate MyTv:- Amazon Prime provides a variety of benefits for its customers. Amazon Prime videos is one of many outstanding features. You can browse through thousands of movies and find the best shows with the help of this feature. However, you may not feel comfortable watching a movie on your phone. Amazon was aware of this discomfort. Amazon designed its prime video service so that smart TVs can be used seamlessly. The sad truth is, many prime subscribers don’t know this. They might ask: How can I sign in to Amazon Prime on my TV?" You are likely reading this post because you don’t know how to activate Amazon Prime on your Android and Apple TV. This post is for those who are in this situation. Let me assure you, Amazon.com/mytv is straightforward. But, first, let me answer some important questions to help you get the full picture.

Read More:- https://www.customerservicephonedirectory.com/amazon/amazon-my-tv/

#activate amazon prime #amazon activate mytv #amazon.com mytv #amazon prime tv code #amazon mytv

Samanta  Moore

Samanta Moore

1621137960

Guidelines for Java Code Reviews

Get a jump-start on your next code review session with this list.

Having another pair of eyes scan your code is always useful and helps you spot mistakes before you break production. You need not be an expert to review someone’s code. Some experience with the programming language and a review checklist should help you get started. We’ve put together a list of things you should keep in mind when you’re reviewing Java code. Read on!

1. Follow Java Code Conventions

2. Replace Imperative Code With Lambdas and Streams

3. Beware of the NullPointerException

4. Directly Assigning References From Client Code to a Field

5. Handle Exceptions With Care

#java #code quality #java tutorial #code analysis #code reviews #code review tips #code analysis tools #java tutorial for beginners #java code review

Houston  Sipes

Houston Sipes

1604088000

How to Find the Stinky Parts of Your Code (Part II)

There are more code smells. Let’s keep changing the aromas. We see several symptoms and situations that make us doubt the quality of our development. Let’s look at some possible solutions.

Most of these smells are just hints of something that might be wrong. They are not rigid rules.

This is part II. Part I can be found here.

Code Smell 06 - Too Clever Programmer

The code is difficult to read, there are tricky with names without semantics. Sometimes using language’s accidental complexity.

_Image Source: NeONBRAND on _Unsplash

Problems

  • Readability
  • Maintainability
  • Code Quality
  • Premature Optimization

Solutions

  1. Refactor the code
  2. Use better names

Examples

  • Optimized loops

Exceptions

  • Optimized code for low-level operations.

Sample Code

Wrong

function primeFactors(n){
	  var f = [],  i = 0, d = 2;  

	  for (i = 0; n >= 2; ) {
	     if(n % d == 0){
	       f[i++]=(d); 
	       n /= d;
	    }
	    else{
	      d++;
	    }     
	  }
	  return f;
	}

Right

function primeFactors(numberToFactor){
	  var factors = [], 
	      divisor = 2,
	      remainder = numberToFactor;

	  while(remainder>=2){
	    if(remainder % divisor === 0){
	       factors.push(divisor); 
	       remainder = remainder/ divisor;
	    }
	    else{
	      divisor++;
	    }     
	  }
	  return factors;
	}

Detection

Automatic detection is possible in some languages. Watch some warnings related to complexity, bad names, post increment variables, etc.

#pixel-face #code-smells #clean-code #stinky-code-parts #refactor-legacy-code #refactoring #stinky-code #common-code-smells