8 Difficult Situations Java Programmers Can Get Themselves Into During A Project
By Paula HernandezThe world runs on Java. Ok, not exactly, but when a programming language has 9 million developers (equal to the population of Sweden), its popularity speaks for itself. It revolutionized software development with its “write once, run everywhere” paradigm. Java development is correlated with the ubiquity of Java Virtual Machines. As per estimates, 97% of Enterprise Desktops run Java. However, Java developers also face issues. Here is a list of top 8 difficult situations Java programmers can get themselves into during a project: 1. Lines and lines of code: To accomplish any task in java requires writing a lot of lines. For example, in python, printing “Hello world” is a one line program. In java, it takes a minimum of three lines and 4 curly braces. Quick prototyping is difficult when a language requires so many lines of code to accomplish even the most basic tasks. Hence, the language is not very conducive for a swift and dirty implementation of an idea. 2. Variable mêlée: Like any God fearing programmer, you religiously follow the getter-setter convention for class variables, but your colleague doesn’t. To access the variables in his class, you need to actually type the name of the variable. And now you are mixing his convention with yours, and feel like tearing your hair out. 3. Improper Exception handling: A hundred lines of code where you open files, persist records into the database, try to access elements in an array, have multiple ‘for’ loops, and parse strings. All those lines of code inside a single try catch block with the log entry being “Error”. When the code crashes during runtime, you realize your folly. And you are not happy. Because now you have to filter the cause of the crash from a list of probable causes. 4. Eclipsed: Due to its widespread usage, Eclipse IDE has become synonymous with java based development. Most programmers use it because of its unmatched support and array of helpful plug-ins. But the dependency on Eclipse means that productivity suffers if we are not able to configure the project on the eclipse. 5. Extensive Java libraries: An elaborate collection of libraries is one of the most attractive features in java. If you can think of it, a library to accomplish it exists. However, these libraries can also pull down the performance of your code. In many cases, the libraries are not optimized for performance. They carelessly instantiate objects when the same could be accomplished by using primitive data types, hence dragging the performance down. 6. Java garbage collection and memory leaks: Java Virtual Machine (JVM) has inbuilt garbage collection mechanism which is one of its most crowning achievements. However, that might make a developer complacent, and lead him towards “java.lang.OutOfMemoryError”. Sometimes you have to increase the memory allocation for the JVM, but several other times, the developer might have ended up using a lot of temporary objects and not de-referencing them once done. It could also be caused by improper usage of static variables, or not removing elements from Java collections like Maps and Vectors. 7. Version Mismatch: You developed your application using Java 7, the production environment has Java 6. And now we have a list of UnsupportedClassVersionError staring at our face. 8. Java web, a no-no: Java is bad for web development. Especially, the front-end part. Java is considered bloated, heavy and the applet revolution it promised never happened. Problem or not, at the end of the day, a Java programmer will most definitely have the patience, skill, and determination to get out of a tight spot. If all else fails, a new solution might just get typed up! Now you know why JAVA is important and how you can be the kind of JAVA developer companies are looking for. If you are looking for someone to train you on JAVA, ZeoLearn offers JAVA course that works under the supervision of experienced professionals within the niche.
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The Hiccups In Android Application Development
By Paula HernandezIs there anything worse than a technical glitch or screen freeze when you’re in the middle of completing a banking transaction or about to get your highest score? Now imagine if you are responsible for that particular situation. Android developers sure have it tough in this highly demanding and growing field of creative media and software. And if you happen to be one, here is a list of the possible problems you might face at one point of time or another: The Learning curve Unlike other platforms, coding for Android requires the programmer to have a working knowledge of various languages like Java, XML, JSON, which in itself requires quite an amount of effort and dedication. Also, unlike coding for computers, the Android platform supports touch controls and gestures, which take the complexity to a whole new level even with the assistance of the available code libraries. A Fragmented Market It is difficult to create an app that would suit all the different screen sizes and work smoothly on all devices. In certain cases, it will be hard for the developer to find a particular phone even for testing purposes because it won’t be in sale anymore. But, there will still be users out there who use that model and the developer has to make sure that his/her app works on that model too. Limited Access to the Latest Version When creating an app, it is necessary to make sure that the app not only works on the latest version of Android but, also on the older versions. This is because very few manufacturers release the latest official Android update for their phones in a timely fashion. In some cases, updates are issued months, sometimes a year, after Google introduces the update in the market. Hence, it is necessary to cater to these users as well when creating the app. The Revenue Disparity As compared to iOS, Google focuses more on providing free apps to its Android users. Hence, as a developer, it is harder to earn higher revenue when developing an Android app. There have been certain instances where an app earned close to 10 times more revenue on iOS than on Android for the same number of downloads. Manufacturers Manipulations Android phone manufacturers at times have a variety of suppliers for their hardware components. Certain Samsung phones will have an issue with the camera, HTC phones might have an issue with the microphone, and only a few manufacturers support the call recording feature. To top this, various manufacturers modify the android source code and release their own custom ROMs with their handsets along with proprietary software, which might be in direct competition with what the developer is working on. It is difficult to successfully develop an Android app suitable for all Android phones with each manufacturer having a different issue or bug. Watch out for Battery Life One important aspect that most Android app developers tend to overlook is the battery consumption of the Android device. Developers get their programming skills by coding on computers which were connected to a main power supply. Hence, there is not much focus on the energy consumption of devices. In a recent study, it was discovered that maximum energy in Android apps was expended on network input/output functions. In free Android apps, 65-75% energy was spent on advertisement modules. Now, the challenges may seem quite exhaustive but Android development is one of the most popular career paths for software developers across the world. Ideation, creativity, technical skill and aspects of consumer behaviour and research are all brought together when one is developing a high-grade Android app. And the high you get once you have created your very own aesthetic, user-friendly and smooth functioning app makes all the work you put in, worth it. Now you know why Android is important and how you can be the kind of Android developer companies are looking for. If you are looking for someone to train you on Android, ZeoLearn offers Android Development courses that work under the supervision of experienced professionals within the niche.
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Programming Concepts Every iOS Developer Should Know
By Edward FallisWhen people talk about life altering inventions today, they do not talk about invention of steam engine, light bulb or the wheel anymore, they talk about life altering mobile applications/software which have influenced our daily lives in such manner that imagining our lives sans these inventions is impossible.One such revelation in the modern era has been the introduction of an array of “i” products ranging from iPhone to iPod to iPad and so on. Apple is now an indispensable part of millions of people around the world with people queuing up for hours before the launch of an Apple product to be the first ones to grab their dream gadget. So what makes Apple products so sought after? The Operating System!iOS or originally the iPhone OS is a mobile operating system created and developed by Apple Inc. and currently powers many of the company’s hand held devices.Apple Inc. provides opportunity to every individual to become an iOS developer with the Apple Developer Program to reach customers around the world. However, needless to say, becoming an iOS developer requires immense knowledge and technical understanding.Becoming a successful iOS developer requires fundamental understanding of programming concepts.Following is the list of fundamental programming concepts that are essential for an iOS developer: 1. Xcode and interface builder Xcode is a powerful Integrated Development Environment (IDE) provided by Apple inc. for free of cost and is the most important tool for building an iOS App. Xcode helps manage the content of a project and works as a code editor with code auto completion assistance to type codes without typos.Interface Builder is a graphical tool inside of Xcode to build interface of your app in a visual way. 2. Cocoa touch Cocoa touch is a UI framework for building software programs to run on iOS. 3. Table Views Table views allow user to navigate through hierarchically structured data and give an indexed view of items. 4. View Controllers View controllers constitute the skeleton of every iOS app. View controllers in iOS also manage auto rotation and perform resource management, receiving memory warnings from the OS when the memory starts to fill up. 5. Storyboards and Segues Storyboard can be used to visually lay down the flow of screens of your app and the transitions between them in Interface Builder. As the size of the project grows, multiple storyboards can be used to contain all the flow of the app.Segues can be used to connect view controllers to each other inside story boards. 6. Auto Layout Auto layout was introduced by apple to facilitate creation of dynamic interfaces that adapt to every screen size and orientation allowing the app to run not only on iPhone but all other Apples devices. 7. Key value coding and Notifications Object on an iOS communicate one to one through the common design pattern of iOS. There are cases where two different kinds of communications are needed. For this, iOS two different mechanisms. Key Value Observing: The mechanism allows objects to be notified of changes to specified properties of other objects. Notifications: Notifications work through notification centres, which manage sending and receiving of notifications. Any object that want to register as an observer for a specific notification posted by other objects, does so through a notification centre. Becoming a developer is a complex process, which demands concrete technical knowledge about programming concepts. In addition to the key programming concepts mentioned above, every developer should educate themselves about other critical concepts, which are essential to become an iOS developer.
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When people talk about life altering inventions today, they do not talk about invention of steam engine, light bulb or the wheel anymore, they talk about life altering mobile applications/software whi...Continue reading
5 Dos and Don'ts for Launching Mobile Apps
By Paula HernandezDeveloping and launching your own Application isn’t as easy as it seems. There needs to be a considerable amount of research behind it which includes prototypes, experimental runs, and most importantly marketing. A single faulty characteristic can cause customers to prefer the competitor’s application because what we need to understand is that an App is basically made to provide more accessibility and ease. If it fails to do so, then it is officially considered irrelevant. Here are the 5 Dos and Don’ts for launching a mobile app:1. Holistic experience for the customerDO: If you have an online shopping website, for instance, the App should include each and every item that the website does. Other than products, all the features should be available on the Application as well, so that the consumer considers the App to be a strategic part of your business, not something extra or irrelevant. Amazon is a good example of an App that provides customers with a holistic shopping experience. DON’T: The experience, on the whole, should be a fulfilling one for the person so that he does not feel the need to close the App, and open the website instead. For example, if the customer wants to read the feedback from other customers, a link to the website in a web browser will probably make the customers change their minds about a purchase, just because they don’t want to switch away from their mobile App. 2. Marketing is crucial DO: Social media platforms such as Facebook and Instagram are probably the best places to start building an image for your new App. More importantly, you need to allocate at least 25% of your monetary budget towards marketing the app if you want to stand your ground as an individual App making company. DON’T: Stay away from false advertising and high pricing strategies in the initial stages, because naturally, customers are attracted towards free Apps rather than the ones that they have to purchase. Spamming customers through emails or on-click web browser advertisements will only annoy customers before the App is even launched. 3. Security DO: It is understood that people always prefer Apps that would provide them a secure environment, without any spammers or phishers. DON’T: Never allow people from around the world to access your App without a standard security check that everyone has to go through in order to login to the App itself. Easy access without any information can allow a number of spammers to take hold of your App and make victims out of other users.4. Customers Log In DO: Once customer signs into the App, it should save their information for the next time they access the application. This will increase repeat purchases, as the customer will feel an ease towards using your application instead of any other because his information will already be present, and his own personal page will open once he enters the app. DON’T: Do not prompt the customers or users to login each time they open the application because this will cause a certain degree of monotony and annoyance for the person, which may or may not lead to customers stopping the usage of that particular application. Also, there are a few instances, when more than one piece of information is required for a login- this is a definite no because security is good till it becomes too tight for the customer to tolerate.5. Competitor Research DO: It is always essential to research your customers; this way you can understand and outline what people are attracted to. Many questions can be answered this way, like what kind of user interface people prefer, or app style, what kind of advertising gets the most likes etc. DON’T: Make sure that the characteristics of your app do not match any others, especially the popular ones, because not only is this unethical, it will also give your application a bad reputation among other customers, developers or any potential investors. Other than this, the logo should be 100% unique in terms of idea, design, and color scheming, it will be considered extremely unethical, or even illegal in some circumstances if a customer downloads your application under the impression of it being something else.
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Learning Large Scale Data Processing
By Susan MayLarge scale data processing is one of the most important aspects of growing any business in a strategic manner. It is necessary to collect and analyze all the data collected from customers,social media, websites and other sources in order to identify the business’ shortcomings and its progress. The large volumes of data collected from different sources are called Big Data. A very powerful analytical tool is required to analyze all the data collected. Apache Hadoop and Apache Spark are some of the most popular analytical tools used in the industry. What is Apache Spark? It is a powerful opensource processing engine which was built on the fundamental principles of speed, ease of use and sophisticated analytics. It is almost 100 times faster than Apache Hadoop. Spark gives a unified framework which is comprehensive and manages big data requirements with the aid of many diverse data sets like text data, image data, graph data, as well as the source of data. It also lets you write applications in Java, Scala or Python. Apache Hadoop has Map and Reduce modules for data processing. In addition to these modules, Spark can support SQL queries, graph data processing, streaming data and machine learning. Developers can use these functions individually or use them in combination operations in a single data pipeline. A higher level API is also provided to improve developer productivity. Spark doesn’t write intermediate results on the disk, it stores the results in the memory which is a huge bonus when you have to work on the same data multiple times. It is an execution-engine that works both in-memory and on-disk. It will try to retain as much data in the memory before storing it to the disk. It is used by popular companies like Yahoo, Baidu and Tencent. What is Scala? Scala is a programming language and is an acronym for “Scalable language.” It is the precise integration of functional language and object-oriented concepts. This implies that Scala can be used to write one-line expressions or for large scale critical systems. The syntax to write the code is succinct. It also contains REPL and IDE worksheets for quick feedback. Scala is also the preferred language for many mission critical server systems. The quality of the code is on par with Java, but, since the typing is precise, most errors are detected during the compile time and not during run time. Why is Scala Considered the Best Choice for Apache Spark? Before I answer this question, the choice of language used in a Spark project depends on the requirements of the team, their skill set and ultimately, personal taste. An Apache Spark project can be written in Java, Scala, Python and R language (version 1.4). Amongst these, Scala is considered as the best choice because: More lines of code are required in Java than Scala to achieve the same goal. Unlike Scala, REPL(Read-Evaluate-Print Loop) interactive shell is not supported by Java. This is a deal breaker for many developers because, with REPL, developers can access their data set and prototype their application without going through the entire development cycle. Scala is faster than Python, so, the time required to execute a code is less and improves the performance of the application considerably. If you are proficient in Scala, you can check the source code if something doesn’t work the way you want, considering that Apache Spark is built on Scala. It is because of this most of the latest features are first accessible by Scala and then later ported to Python and Java.
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Here’s How Learning Python Saves Time
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Big Data Analytics with Apache Hadoop
By Susan MayAre you confused by terms like Big Data, Apache or Hadoop and their functions and definitions? Fear not, we are going to discuss all this and much more in detail below. What is Big Data? Businesses collect large volumes of data on a daily basis. This data can be structured or unstructured. Structured data refers to the organized form of data, like spreadsheets or similar forms and unstructured data refers to data in the form of text files or multimedia files. The data can be collected from any source and all this data put together is known as Big Data. It is used by many industries like energy, telecom, retail, manufacturing, banking, insurance, public, media, healthcare etc. Importance of Big Data Big Data helps businesses analyze their daily activities which can lead to better strategic actions and decisions to boost the business. It can also help them optimize the launch of a new product and reduce the production time for some products. An added advantage is the root cause of some problems and defects related to a particular product can be determined if Big Data is coupled with a high-powered analytics tool such as Apache Hadoop. What is Apache Hadoop? Apache Hadoop is an open-source software framework for distributed storage and distributed processing of large volumes of data usually written in Java. It can provide quick and steady analysis of large volumes of data, both structured and unstructured.How does Apache Hadoop work? Apache Hadoop comprises of the following modules Hadoop MapReduce: A programming model for extensive data processing. Hadoop Distributed File System (HDFS): As the name suggests, it is a distributed file system that stores data on main machines which provides high overall bandwidth across the clusters of machines. Hadoop Common: It is the collection of libraries and utilities required by other Hadoop modules. Hadoop YARN: It is a redesigned resource manager which separates functionalities of resource management and job scheduling into different daemons. Apache Pig, Apache Hive, and Apache HBase are a few projects, apart from the aforementioned ones, which are included in the Apache Hadoop platform. All the modules in Hadoop are designed with the fundamental aspect in mind that hardware problems can occur with any system in the cluster. To combat this, if any system in cluster faces a hardware issue, the tasks assigned to that system are immediately transferred to other systems in the cluster so that the analysis is done within the stipulated time. Activities performed by Apache Hadoop on Big Data Storage: It is necessary to store large volumes of Big Data in order to analyze it. Process: The large volumes of data are processed by enriching, cleansing, transforming, calculating and running algorithms on it. Access: The data which is analyzed is segregated and stored in such a manner that it is easy to retrieve it and also search for it. Examples of How a Module Works Hadoop MapReduce: It consists of JobTracker and TaskTracker, once the client program is copied on each node. JobTracker figures out the number of splits from the input data and identifies a few TaskTrackers based on their proximity to data sources. JobTracker sends task requests to the selected TaskTrackers. Each TaskTracker starts the map phase processing by extracting the input data from the splits. TaskTracker notifies the JobTracker once the map task is complete. The TaskTracker is notified when the task is completed. When all the TaskTrackers are done, the JobTracker informs the appointed TaskTrackers for reduced phase. Each TaskTracker reads the region files and conducts the reduce function, which in turn collects the key value into the output file. After both phases are completed, the JobTracker provides access to the client program.
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