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Abstract

er">17]</pre></div><blockquote id="c020">Compact Map()</blockquote><code>compactMap</code> function is similar to <code>map</code>, but it also includes an additional step, it filters out any <code>nil</code> values that result from applying the transformation closure. This is particularly useful when you have an array of optional values and you want to transform them while simultaneously filtering out the <code>nil</code> elements.<div id="9cf9"><pre>extension Array { func compactMap<T>(_ transforms: (Element) -> T?) -> [T] { var result = T for element in self { if let element = element { result.append(transform(element)) } } return result } }</pre></div>Here the only change from <code>Map</code> and <code>Compact Map</code> is avoiding the nil value with a condition.In the above code<ul><li>It takes a closure <code>transform</code> as an argument, which specifies how each element should be transformed.</li><li>Inside <code>compactMap</code>, a new array <code>result</code> is created to store the transformed non-nil elements.</li><li>It then iterates over each element of the original array (<code>self</code>), applies the transformation closure to each element, and checks if the result is non-nil.</li><li>If the result is non-nil, it appends the transformed element to the <code>result</code> array.</li><li>Finally, it returns the <code>result</code> array containing all the non-nil transformed elements.</li></ul><blockquote id="9909">How to consume it?</blockquote><div id="41f1"><pre>let mapArray = [23, 43, 56, nil, 75, 9, 14] let result= mapArray.compactMap { $0 } debugPrint(result) output: [23, 43, 56, 75, 9, 14]</pre></div><blockquote id="854c">Flat Map()</blockquote>FlatMap is typically the same as <code>map</code> does, only difference is that it always return flatten array joining all elements. Typically used to collect specific data in n

Options

ested array, dictionary or set<div id="6431"><pre>extension Array { func flatMap<T>(_ transform: (Element) -> [T]) -> [T] { var result = T for element in self { result.append(contentsOf: transform(element)) } return result } }</pre></div>In the above code<ul><li>It takes a closure <code>transform</code> as an argument, which specifies how each element should be transformed into a sequence.</li><li>Inside <code>flatMap</code>, a new array <code>result</code> is created to store the flattened elements.</li><li>It then iterates over each element of the original array (<code>self</code>), applies the transformation closure to each element, and concatenates the resulting sequences into the <code>result</code> array.</li><li><code>append(contentsOf: )</code> will add the elements of a sequence to the end of the array.</li><li>Finally, it returns the <code>result</code> array containing all the flattened elements.</li></ul><blockquote id="2285">How to consume it?</blockquote><div id="117f"><pre>let arrayOfArrays = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] let transformedArray = arrayOfArrays.flatMap { $0 } print(transformedArray) output: [1, 2, 3, 4, 5, 6, 7, 8, 9]</pre></div><h1 id="3bda">Conclusion</h1>There are plenty of other use cases for higher-order functions. This is a gist of what we have discovered today:<ul><li>If you need to simply transform a value to another value, then use <code>map</code>.</li><li>If you need to remove nil values, then use <code>compactMap</code>.</li><li>If you need to flatten your result one level down, then use <code>flatMap</code>.</li></ul>Thank you for your time and attention! 👏👏👏Do clap👏 if you like this and comment your suggestions!!! Happy coding!!!<blockquote id="1e0c">Source Code: <a href="https://github.com/Vikassingamsetty/HigherOrderFunctions.git">GitHub</a></blockquote></article></body>

Self-Achievement

Mastering 680+ Courses

My journey from learning to expertise

Photo by Anton Maksimov 5642.su on Unsplash

The world is changing at an incredible pace, and to stay ahead, we must broaden our horizons. Fortunately, the internet has given us access to a wealth of knowledge that was once out of reach. With the endless variety of online platforms, there’s never been a better time to expand our skills and explore new ideas.

I am thrilled to share with you my educational journey, and I can confidently say that LinkedIn Learning has been a vital companion throughout.

I am excited to announce that I have completed over 680 courses on this platform, which is a testament to my unwavering commitment to learning and growing.

This platform has opened the door to a diverse universe of knowledge, offering courses catering to a wide range of interests and skill levels. From programming languages and data analysis to leadership and communication skills, I’ve delved into various subjects, expanding my intellectual horizons and honing my expertise.

I find LinkedIn Learning to be an exceptional platform because of its versatility. It offers a wide range of topics, from digital marketing and graphic design to project management, psychology, and sustainable business practices. I have learned a lot from each course, which has helped me to deepen my understanding and expertise in various areas, and has acted as stepping stones in my educational journey. The platform’s flexibility has allowed me to balance my professional commitments while enriching my knowledge, making it a perfect fit for my busy schedule.

I won’t lie though, completing over 680 courses on LinkedIn Learning was not an easy feat.

It was an incredibly challenging feat, but I never gave up. With dedication, hard work, and effective time management skills, I was able to overcome every obstacle that came my way. Each accomplishment fueled my motivation and propelled me forward on my educational journey. Looking back on this significant achievement, I am deeply grateful for platforms like LinkedIn Learning that are shaping the future of education in the digital realm.

As I reflect on this monumental achievement, I am grateful for the opportunities that platforms like LinkedIn Learning provide. They enable individuals to explore diverse subjects, connect with experts, and acquire invaluable skills, all from the comfort of their homes.

I have a diverse skill set based on my formal education and achievements. I hold degrees in Business Statistics, Communication, Artificial Intelligence, Forensic Accounting, Financial Markets, Food and Beverage Management, Diplomatic and International Studies and Medicine. This multidisciplinary approach has equipped me with a comprehensive understanding of various fields, enabling me to navigate the complexities of the modern world seamlessly.

I believe that learning is a never-ending journey, and I am enthusiastic about discovering new paths to acquire knowledge.

It is my sincere desire that my experience encourages others to take advantage of the opportunities available on online learning platforms such as LinkedIn Learning. Together, we can expand our horizons, develop our skills, and make a positive impact on the world we live in.

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I invite you to join us on this incredible journey of growth and discovery as we embrace the wonders of knowledge.

Let’s connect, learn and thrive together!

Editorial Bio of Fahaz Hameed

Fahaz is an inspiring writer and an editor at Illumination Integrated Publications on Medium.

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