24 Swift Extensions for Cleaner Code

Be more productive building your mobile apps

One of the best features of both Swift and Objective-C, in my opinion, is extensions. They enable you to add new methods to any class and the whole project will be able to call them without additional inheritance and overloading.

As a mobile developer I work with both iOS and Android, and I very often see Android functions and methods which are shorter, cleaner and more understandable than in Swift. Using extensions, some of these methods can be ported to Swift. Plus with several new methods (extensions) we’ll get a short, clean and easily maintainable code in Swift.

I’ll use Swift, but all these extensions can be migrated to Objective-C or used with Objective-C directly, without conversion.

String.trim() and Swift.trimmed

In 99% of the cases when I trim String in Swift, I want to remove spaces and other similar symbols (for example, new lines and tabs).

This simple extension does the trick:

import Foundation

extension String {
    var trimmed: String {
        self.trimmingCharacters(in: .whitespacesAndNewlines)
    }
    
    mutating func trim() {
        self = self.trimmed
    }
}

Usage:

var str1 = "  a b c d e   \n"
var str2 = str1.trimmed
str1.trim()

#xcode #ios #swift #programming

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24 Swift Extensions for Cleaner Code
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

Houston  Sipes

Houston Sipes

1600430400

10 Free Online Resources To Learn Swift Language

Swift is a fast and efficient general-purpose programming language that provides real-time feedback and can be seamlessly incorporated into existing Objective-C code. This is why developers are able to write safer, more reliable code while saving time. It aims to be the best language that can be used for various purposes ranging from systems programming to mobile as well as desktop apps and scaling up to cloud services.

Below here, we list down the 10 best online resources to learn Swift language.

(The list is in no particular order)

#developers corner #free online resources to learn swift language #learn swift #learn swift free #learn swift online free #resources to learn swift #swift language #swift programming

Top Swift Development Companies | Top Swift Developers - TopDevelopers.co

A thoroughly researched list of top Swift developers with ratings & reviews to help find the best Swift development companies around the world.

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Useful Swift Extension

After working with Swift for some time I found there are lot of things that aren’t there out of the box as with other languages. Following are some extensions that I think are useful for day to day working

Accessing string element by index

extension String {
    subscript(i:Int) ->Character {
        let index = self.index(self.startIndex, offsetBy: i)
        return self[index]
    }
}

#useful #development #swift #extension #swift-extensions