Setting up a new Raspberry Pi Board can be daunting without a monitor and keyboard, Once you flash a new image of the Operating System – Raspberry Pi OS or similar, the next obvious step is to boot the Pi, log in to it and access the terminal over SSH. But for a headless setup, i.e. without a Monitor and Keyboard, it’s not that straightforward. The same goes if you’re using a lite image of the OS (without a Desktop Environment). For SSH to work, you first need to get your board on your home network, even if you manage to create an ad-hoc network between your Pi and workstation, the SSH is disabled for security reasons.
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There are two simple ways to sort this out, and we’ll look into it one-by-one
#1 The Simple Way: Using the official Raspberry Pi Imager,
Raspberry Pi’s official flashing utility can be downloaded from here . This tool allows you to pick the OS image you want to flash. It also has a setting page where you can enable SSH and add credentials of your home router WiFi SSID and password. All this information is baked into the OS image during the SD card flashing process.
#2 The Ninja Way: Underneath the hood
While the Raspberry Pi Imager way works pretty straightforward, for the ninja user, it’s important to understand how this all works underneath the hood. So the job of the flasher programmer is to partition your SD card into two segments – BOOT and the Root File System (rootfs) of the raspberry pi. This is how typical how Linux distributions are stored.
The boot partition holds all the essential files used during the booting process, including the bootloader, and the rootfs partition holds the primary filesystem of the Linux operating system. Now let’s add settings for our WiFi connection and enable SSH on the raspberry pi board the ninja way.
Once you flashed a new operating system, the SD card shall be auto-ejected, so re-insert the SD card, and you shall see a partition named BOOT mounted on your system. Create a new file in the root folder of the boot partition with the exact name – wpa_supplicant.conf. In this file add following using your favourite text editor or terminal:
“` code-block
This information shall be used by “wpa_supplicant”, a utility used by Linux distributions like Debian to connect to wifi networks. After the boot is complete, it’ll scan for WiFi networks nearby and connect to your SSID and password you supplied.
Don’t worry about supplying your password in plain text, after the boot, this file will be removed automatically.
Now to enable SSH, which is disabled by default for security, just create a new empty file with the name ssh in the root directory of the boot partition. Use the terminal command to create this file
And that’s it, your raspberry pi will be connected to your WiFi network and ready to accept incoming SSH connection requests, and all this is done without ever connecting your board to a monitor and keyboard – Headless.
Test your SSH connection from your workstation open the terminal, and type:
and you shall be logged in.
Found this tutorial interesting? Read more about the latest trends in Embedded System development in our previous blog here and take your embedded projects to IoT using MQTT via this blog here .
Currently, there are 6.9 billion people with access to smartphones and at least some form of internet worldwide. This means that, when developing an app, you have a potential audience of well over 80% of humankind.
Now, while it’s unrealistic to expect any app to pull these numbers (even Instagram is used by “just” 2.35 billion), the tipping point past which your app can no longer function as before is far closer than you assume.
To make matters worse, it takes just a couple of (very) dissatisfied users to ruin your rating and leave enough bad reviews to ruin your app’s reputation. This is why you must ensure that your app is scalable and resilient. Here are the top six strategies to help you with that.
Horizontal scaling
When structuring your servers, vertical scaling makes the most sense. After all, upgrading the server, you’re already using or starting with an impressive server (the one that gives you room for growth) is intuitive. The problem is that this system is not the most reliable. Instead, horizontal scaling, where you add more servers instead of improving a single one, might provide you with more value.
Horizontal scaling is impressive because it will allow you to withstand much higher traffic. For an app developer, having more users is the optimal end goal, so not having a plan for success simply makes no sense.
Horizontal scaling improves performance, and it’s much more cost-efficient. Adding a server sounds expensive, but it offers you flexibility and simplicity. After all, you can add more servers as you go. This means you don’t have to start too ambitious (like with vertical scaling).
Most importantly, you have the privilege of isolating services from one another. This way, you gain a lot of resilience because a flaw, a failure, or an attack on a single service won’t compromise the rest. This also makes troubleshooting a lot easier.
The biggest challenge of horizontal scaling is achieving data consistency; however, there are more than a few ways to overcome this.
Work on load balancing
Previously, we’ve talked about the imperative of working on multiple servers. Without load balancing, this would be like having five rooms in a home and spending 90% of the time in a single one. With the help of load balancing, you can evenly distribute this and get the most out of the servers you’re using.
There are numerous load-balancing techniques:
Hardware load balancers: This is the simplest form of load balancing since it relies on having a device that distributes traffic when it reaches a certain load.
Software load balancers: This is a part of the application stack. These are virtual machines that act in a similar way to hardware load balancers.
Content delivery networks: A content delivery network is located in different locations. This caching service is scattered across the globe to provide you with an even higher service resilience.
The best thing about load balancing is that it’s incredibly scalable. This is why the sooner you start doing this, the better results you will face. When your audience outgrows your current capacity, you can provide consistent performance across peak hours.
More importantly, load balancing boosts the availability of your application. This means that, in the scenario where one of the servers falls, your app will not be completely unavailable. You’ll try to avoid this worst-case scenario at any cost.
Use mobile IP proxy in research and testing
As a web developer, you have to do a lot of research. Now, some of this research will be unavailable due to geographical restrictions. This is why you must use a mobile IP proxy while researching.
While doing research, you’re assuming a role of a customer, which means that various competitor platforms you’re researching target you based on your history. Because your research patterns may take you to the most unexpected places, the experience you get when you try to emulate the customer experience will be all but authentic.
It’s also worth mentioning that mobile IP proxy helps you avoid being blocked or flagged. Some platforms will do this if you make too many requests, which is sensible from their standpoint but may seriously slow down your research.
Then, there’s the issue of load testing and scalability. You need to see how the platform will behave when accessed through a different IP, especially one using a different locale. This way, you test whether the experience provided by your app gives a consistent experience.
Finally, you can avoid captchas and bot detection measures by rotating IP addresses. Sure, this is not a huge problem, but it’s a slight annoyance that you can easily bypass with the right approach.
Embrace asynchronous processing
Imagine a scenario where you plan a five-course meal at a restaurant but refuse to order all the meals simultaneously. Imagine waiting until you finish the first course only to request the second, the third, and so on. It would be inefficient, waste everyone’s time and cause a massive hold-up in the operations.
This is what synchronous processing is like. It’s a system where you make one request at a time and must wait for the current task to be completed to move to the next one. It will slow down the application process and make your audience perceive your application as slow and inefficient.
The solution is asynchronous processing, which makes all the necessary requests without waiting for previous tasks to finish. Since modern apps and servers running them can run multiple processes in the background, there’s no good reason not to use all this computing power.
The benefits of this process are numerous:
Improved responsiveness
Reduced latency
Scalability
Parallelism
In other words, you improve your app in all fields, directly contributing to a superior UX.
Most of these tasks are achieved through asynchronous APIs, background tasks, and non-blocking I/O libraries. The latter performs network communication without blocking the main application thread.
Look into auto-scaling
Real-time demand will consistently change. Even in video game apps, you have peak times on servers. In the past, some games tried to handle this by adding a user queue. This is hardly a technique that would work in web applications. Instead, you must create a system with enough elasticity to handle increased traffic.
More importantly, you need a system capable of efficiently managing these resources and automatically adjusting to the increased demand.
The way this functions is quite simple – you have a system that monitors the application’s performance across all users. Instead of allowing the service to slow down during peak, the system would utilize a cloud-based environment to improve CPU utilization quickly. This can be set to happen as soon as the number of incoming requests passes a certain threshold. Even here, you need the right strategy.
If we compared this to naval combat, it would be like firing your cannons seconds before the enemy vessel enters your range just because you know the shell will take a while to reach the target. In other words, you need to develop an in-depth understanding of your traffic patterns and create a system that will instantly respond (far quicker than a human-issued command ever could).
This way, you will get the optimal cost-efficiency, availability, and, most importantly, optimal performance.
The key, however, lies in finding the right auto-scaling triggers. The most effective ones are usually:
Incoming traffic
CPU utilization
Response time
The last one is a bit imperfect because, from a user’s perspective, it’s reactive rather than proactive.
Double down on performance testing
Previously, we’ve discussed using an IP proxy to test how your platform behaves when accessed from different locations. However, this is not the only metric that you should test. You must also test the following:
Load
Stress
Endurance
Spike
Scalability
Volume
Besides determining the subject of your tests, you must also figure out the KPIs you’re looking into.
Response time: The most important aspect of user experience is response time. People hate using laggy apps. Chances are that they’ll switch to an alternative, provided that there is one.
Concurrency: Users only assess your app’s performance from their personal experience, which may vary based on the time of day when they access it. With scalable development, you’ll be able to achieve a pretty similar consistency around the clock.
Error rate: Does the app break often? What are the odds of requests failing? Sure, people are more tolerant of this, but if your response time is slow, restarting the app or trying again will be even worse.
In the end, you can see how these KPIs stack. A poor response time can make a critical error exponentially worse. This is why you can’t afford to ignore a single problem.
With the right strategy, your web applications will be more scalable and resilient
By Srdjan Gombar
Ultimately, you want to prepare for traffic growth and use as many resources as you need. Finding this balance is difficult but not impossible. This will determine your app’s functionality and the cost-effectiveness of your entire project.
Veteran content writer, published author, and amateur boxer. Srdjan is a Bachelor of Arts in English Language & Literature and is passionate about technology, pop culture, and self-improvement. His free time he spends reading, watching movies, and playing Super Mario Bros. with his son.
Developers can earn financial incentives from the community by teaching other DEVs how to get into Web3.
Web3 has become increasingly popular among developers. Various job opportunities arise for companies wishing to develop decentralized software and applications in various sectors to bring innovation to their businesses.
However, not all developers have enough knowledge about Web3 and its technologies to create solutions in this area. That is why a DAO (Decentralized Autonomous Organization) of DEVs in your country can be an excellent way to exchange knowledge about Web3 and still receive financial incentives for it.
The Decentralized Autonomous Organization (DAO) is an autonomous entity based on blockchain technology, where the DAO is capable of automating administrative processes such as voting, resource allocation, and contract execution without the need for intermediaries.
These organizations have a structure that enables democratic and transparent governance. Through blockchain technology, the DAO operates with a public and distributed ledger, ensuring transparency and immutability of operations conducted by the DAO.
This means that all transactions, including votes, execution of smart contracts, among others, are recorded permanently and verifiably by any participant in the network. This strengthens trust and security in the DAO, as there is no central authority controlling or manipulating the records.
Known as the “decentralized web”, Web3 is a new internet phase that is rapidly expanding and aims to create a more secure and fair internet. Web3 is based on blockchain technology and smart contracts.
Even though it is still in its initial stages, Web3 is already the focus of projects that aim to revolutionize the way we interact within the internet. For developers who want to join this new web, one way to learn or teach about Web3 is by creating a Web3 community in their country.
How to Create a Web3 Community in Your Country
The meeting point of a Web3 community is usually a website or a free Discord application, which allows democratic access. The tool allows several types of interactions among
members, regardless of language or country, expanding the potential of each member, whether in personal or professional realms, with technical or behavioral skills.
The WEB3DEV community is ready for educational expansion in new countries. In Discord, there is already support from proficient developers in English, Spanish, and Portuguese who can help create WEB3DEV in your country, providing support to DEVs in other languages.
How to Receive Incentives to Expand WEB3DEV
At WEB3DEV, for example, DEVs are encouraged to learn, following the concept of “learn to earn”, with a commitment to be rewarded for teaching what they learn through educational materials, whether in text, video, or audio, generating this multiplier effect.
Developers can copy and redistribute the material in any medium or format and can adapt and transform it for any purpose. All the work at WEB3DEV is organized into “Pods”, working groups focused on specific needs.
Each “pod” has a specific purpose, and the groups share responsibilities and autonomy among participating developers. You can create a community in your country and start a pod, collaborating and bringing other DEVs freely and earning proportional remuneration based on what is produced. Or you can create a community in your country with fixed members, where developers have a connection with the “pod” and commit to the routine and demands that arise.
Based on our economic model, you can have a clearer understanding of how local community founders are remunerated:
What is WEB3DEV?
WEB3DEV is a DAO that focuses its initiatives on three pillars: education, community, and building. It brings the future of the internet in an accessible way to developers all around the world.
Created in 2022 by Daniel Cukier, Yan Luiz, and Melk, the community is dedicated to creating content that encourages all software developers to share high-quality knowledge about Web3.
Through WEB3DEV, didactic content about blockchain is taught. Additionally, it promotes the connection of companies and developers to foster new talent and build and support DEV teams in Web3 projects.
Any developer can start a WEB3DEV community in their country, using or creating content and adapting it to the local language. Participating in this community can be a unique opportunity to improve your skills, meet other developers, and contribute to the development of Web3 technology worldwide. If you want to create a community in your country, please get in touch with the DAO directly through our website.
Studying wages and compensation can offer insights into the supply and demand of various skill sets in an employment market. Despite recent layoffs across many technology companies, our data indicate that the number of professional developers across the globe continues to rise. A driving factor in the persistent growth of developers worldwide is that modern enterprises recognise the fact that, as technology becomes increasingly intertwined with society, all companies are or will ultimately become technology companies.
This means that grocery store chains, online commerce platforms, and car manufacturers alike must all compete against one another to attract developers. Compensation is one of the principal means used to vie for said talent. Understanding the compensation landscape for developers can help companies make informed decisions about salary, bonuses, equity, and other benefits they offer to attract and retain skilled developers. Likewise, studying compensation can aid developers in making decisions about their own careers, including negotiating salaries and benefits.
In this chapter, we present findings from SlashData’s latest Developer Nation survey – the 24th edition – exploring developers’ compensation patterns. We look at differences across regions and note how developers and companies alike, when negotiating compensation, need to take into account differences in costs of living and expenses. Further, we will examine developers’ self-perceptions regarding their salaries and what factors are associated with believing that they are under or overpaid.
The compensation landscape for professional developers varies greatly across the globe. In our latest survey, we collected information from developers living in more than 160 countries across the globe. As expected, the distribution of reported annual compensation reflects the diversity of respondents and the myriad of personal situations.
According to our data, 9% of professional developers earn less than $1,000 per year in total compensation – including base salary, bonuses, stock options, and other perks. This group encapsulates many of the developers working part-time, starting off their careers in internships, or working on commission. As expected, reported annual compensation is significantly correlated with overall experience in software development. Hence, as developers gain experience, they are able to command higher compensation. When we control for the differences across the globe, we find that, on average, for every year of experience a developer gains in software development, they earn nearly $4,000 more each year.
On the upper end of the spectrum, we find that roughly 6% of professional developers earn more than $200,000 per year. According to the World Inequality Database, in almost every country in the world, workers earning above $200K a year belong to the top 1% of earners in that country. This is one indicator that developers’ average compensation is higher than in other sectors of the economy. Below, we break down the average compensation by region to offer a bit more context to the earnings of developers.
Regional differences
North American professional developers report the highest average annual compensation – more than $100,000. The median compensation in the region, however, is closer to $75,000. Meanwhile, on the opposite end of the spectrum, developers working in South Asia report the lowest average compensation of just under $27,000 and the median compensation is around $5,500 per year. As is frequently the case with compensation, those with higher earnings greatly inflate the average, as is evident when we compare the median vs the average annual compensation.
Anyone who has travelled outside their hometown recognises that the costs of goods and services can vary depending on where you are in the world. Compensation very often reflects these differences in the cost of living. Should developers and companies wish to compare compensation between two locales, considering these differences is crucial.
As an example, we examine two countries with large developer populations: the United States of America and the People’s Republic of China. The median compensation of developers in the USA is around $75,000 per year. This is five times greater than the median developer compensation in China of $15,000 per year. However, when we account for differences in costs of living using the purchasing power parity index, we see that the average developer in China earning $15,000 per year can afford similar goods and services as a developer in the USA earning $25,000 a year. In practical terms, this means that developers in the USA still generally enjoy a higher wage compared to Chinese developers, but by a lesser margin (3 times more vs 5 times more) than is apparent when we directly compare compensation.
Perceptions surrounding compensation
On top of asking developers about their current annual compensation, we also asked them about the compensation they think would be fair for their role. Just over half (51%) believe that the compensation they currently receive is fair for their role. Meanwhile, 39% believe they are underpaid, whereas 11% of developers report that their current compensation was more than what they believe is fair for their role.
To better understand what factors are associated with developers believing they are over or underpaid, we modelled developers’ sentiments about the compensation in their current role. We find that men are significantly more likely to report feeling underpaid in their current role. More specifically, 16% of men report feeling underpaid compared to 11% of women and 14% of developers who identified as non-binary. Conversely, 7% of women feel overpaid compared to 4% of men and 1% of non-binary individuals.
We additionally see that developers with more experience and those working for larger companies are more likely to report feeling underpaid. For each additional year that a developer gains in experience, we estimate that there is approximately a 7% increase in the odds that the developer will report feeling underpaid compared to fairly compensated. This suggests that companies do not financially value experience to the same degree as developers do amongst themselves.
However, more experience and working for a larger company are both correlated with being compensated higher. This could indicate that more experienced developers working at larger companies have responsibilities that they feel are not commensurate with their compensation. On the other hand, sentiments of being underpaid could also stem from a perception based on a lack of information, being influenced by larger companies’ generally greater profit margins, or unrealistic thinking from the developer.
Finally, if a developer has an undergraduate degree in software engineering, they are more likely to report feeling underpaid. The odds of a developer with an undergraduate degree in software engineering feeling underpaid vs paid fairly, are 9% greater when compared to all other developers. This effect disappears, however, once developers have a postgraduate degree; as having a postgraduate degree increases the odds of feeling overpaid by 50% compared to not having a postgraduate degree.
This could indicate that companies place a lesser value on undergraduate education than developers perceive they will; possibly leading to the sentiment of feeling underpaid by those who do not yet hold advanced degrees. Other external factors, such as geographical location, also affect how a developer perceives their compensation, likely due to cost of living differences, as discussed in the previous section.
Compensation is often considered a difficult topic to discuss and research due to the taboo nature of discussing money in many companies and cultures. Our aim with this chapter is to open up the conversation surrounding developer compensation with our analysis.
Do you like data such as the above?
If you’re a professional or hobbyist developer into Web, Mobile, Desktop, Cloud, Industrial IoT, Consumer Electronics, Embedded Software, AR & VR, Apps/extensions for 3rd-party ecosystems, Games, Machine Learning & AI, and Data science, we would like to hear your voice.
Artificial Intelligence has been around for a long time. People have studied it and have made progress but it’s only in recent years that people have started to recognize how AI is being used. Research on AI shows how much it can affect different industries in the years to come.
AI can be used correctly to enhance the human experience as a whole. AI is used for automation so that processes that are tedious and repetitive can be done easily. Automation is needed by different industries. Whether it is businesses that are focused on healthcare or those who are running their Ecommerce website, automation is going to play a huge role in how consumers will use apps and purchase other needed items.
Importance of Essential Tools and Frameworks for AI Development
An AI engineer can work better with the right tools and frameworks to develop the right apps that people will love. People from various industries who would like to start an AI project should understand that there are always different requirements that are needed. Some tools and frameworks can work well together depending on the project being created.
A wide variety of tools and frameworks are thoroughly discussed by other professionals on the internet. They are available in forums, on some websites, and even through videos. An artificial intelligence developer will have no issues in trying to find the right information for a project.
Data Preparation and Preprocessing
If there is one thing that is crucial in data preparation and processing, it is data quality. Machines are created by people and they will not work unless people have set them up very well. It has always been said that people are only as good as their mentors. If they want to become better, they need experience, they need more than one mentor, and they need different inputs and outputs.
This is the same with the machines for AI. The data quality can highly impact the reliability of the machines. The accuracy and performance of the machine will only be as good as the people who are making the machines work. Artificial intelligence programmers are aware of this fact. This is why they always make an effort to provide a diverse and quality dataset to the machines.
Tools and Techniques for Data Cleaning, Transformation, and Feature Engineering
Good data and bad data can help businesses. Recognizing the bad data can eliminate the extra work that will be done to create the right dataset for any industry. Data cleaning is not people’s favorite activity but it is required to create the right type of data for the project.
It is through data cleaning that bad data can be weeded out from the dataset. Once this is figured out, the issues will be properly corrected. Some data can be considered unfixable which means that they need to be removed.
The usual reasons for unclean or bad data are the following:
Human error
Getting scrap data
Combining data from different sources
The use of bad data can make businesses spend more money than they should which is why it should be eradicated.
To do effective data cleaning, transformation, and engineering, these are the techniques to do:
Get rid of duplicates – You can get duplicated entries when you get information from different sources. Get rid of duplicates so that you will not skew the results.
Get rid of irrelevant data – Data that is not important to the project will only slow down the results. Remove things that will add nothing to the data that you have.
Make sure that text is consistent – One way that you can do this is by standardizing capitalization. Those who can also do NLP labeling can help with this.
Clear formatting – Most machines are unable to read data accurately if the data is heavily formatted. You may be dealing with different formats especially if you have gotten your data from various sources. Clear formatting and the data will be read smoothly.
Carefully remove errors from the data – This should be done to get a reliable dataset. Key findings might become hard to see if you do not clean the errors immediately.
Machine Learning and Deep Learning Frameworks
Machine learning is continuously growing and it can provide the smart solutions that businesses from different industries need. The frameworks can be understood better because of the libraries, interfaces, and tools that are available for people to view and study.
TensorFlow
This is created by Google’s Brain Team and it can be used for Python. It uses dataflow graphs to create and process data. This is preferred by those who do AI development because the learning models are easy to build. It can also be used for powerful research and experimentation.
PyTorch
This is a framework created by Facebook’s AI Research Lab also known as FAIR. This can be used for different libraries such as Python and C++. The framework is designed to be scaled and improved so that it can become more flexible depending on the project that you are making. This is best for people who are already familiar with C and C++ as there are some similarities.
Scikit-Learn
This is an open-source data analysis library which is usually one of the first choices when people want to do machine learning for Python. This can be helpful for data that needs to be segmented depending on the algorithm. It will also have the ability to recognize data based on the patterns that it shows.
Natural Language Processing Tools
NLP tools and techniques are very helpful for AI as they can make AI more accurate. The process can also be done in a faster time as compared to not using the right NLP tools. NLP allows applications to do more every day. People can also gain more every day because of this. The more that technology improves, the more sophisticated the algorithms that become available.
Essential NLP Libraries and Tools
People who are searching for IT jobs in Germany usually try to increase the number of skills that they have. Still, they cannot just rely on their skills. They need to make an effort to learn more about the libraries and tools that they can use.
Natural Language Toolkit (NLTK) – This is a library that supports various tasks from text segmentation to semantic reasoning in Python. This is the main tool that professionals use for NLP and machine learning.
TextBlob – This is the tool that most beginners use when they want to make better experiences while still exploring Python and NLTK. This can help design people’s prototypes.
Core NLP – This is one of the tools that can be used when you are using Java. It is required that you have Java installed on your device before you can use this for different processes like sentiment analysis and part-of-speech tagger.
Model Evaluation and Deployment
How sure are you that your machine is providing the type of data that you are looking for? You need AI development services from a trusted company or professionals. They should know the different techniques to check the accuracy of the AI model that has been created.
Accuracy
This is the most widely used metric for model evaluation. This will show you the ratio between the corrected values and the data that you have placed on the machine. This will also show you if the classes that you are trying to analyze are imbalanced.
Precision
This will provide the percentage of the predicted positive instances. This will let you know if the model is giving you information about how right the machine is when it says that it can accurately read the data.
Specificity
The percentage of the negative instances are being measured against the actual total of the negative instances. This can be the most effective if you want to measure the actual number of people who have indicated negatives in the data set vs what the machine says is the percentage of negative instances.
Machine learning is not something new. An artificial intelligence development company can offer professionals who can use the right tools to deploy AI and machine learning easily. People have already learned a lot of details about it and it is expected to become more accurate in the years to come.
Different machine learning tools might become steeper for beginners especially if they do not know anything about the processes. The sheer determination of people can weed out those who can become good at it.
Java is one of the most popular programming languages in the programming world, used by millions of developers to build complex software systems and applications. As a Java developer, it’s essential to stay up-to-date with the latest trends and techniques to remain competitive and produce high-quality code. In this article, we’ll explore eight Java programming tricks every Java developer should know, including how java developers for hire can help you implement them in your projects.
Use Lambda Expressions
Lambda expressions are a powerful feature introduced in Java 8 that allow you to write functional-style code with less boilerplate. With lambda expressions, you can define a method as a parameter to another method, reducing the amount of code you need to write. For example, instead of writing:
List<String> names = new ArrayList<>();
for (Person person : people) {
names.add(person.getName());
}
This code is more concise and easier to read, making your code more maintainable.
Use Optional Instead of Nulls
Nulls can cause many problems in Java code, including NullPointerExceptions, which can be difficult to debug. Instead of using nulls, use the Optional class, which allows you to represent an object that may or may not be present. Optional provides a safer and more elegant way to handle nulls in your code.
Use Streams for Collection Operations Streams provide a concise and powerful way to perform operations on collections in Java. With streams, you can perform operations like filtering, mapping, and reducing without the need for complex loops or temporary collections. Streams can significantly simplify your code and make it easier to read and maintain.
Use String.format for String Concatenation String concatenation can be a performance bottleneck in Java code, especially when concatenating large strings. Instead of using the + operator, use the String.format method to concatenate strings. String.format creates a formatted string that you can customize with placeholders and arguments, making your code more readable and efficient.
public class StrFormat
{
/* Driver Code */
public static void main(String args[])
{
String s1 = new String("Hello"); //String 1
String s2 = new String(" World"); //String 2
String s = String.format("%s%s",s1,s2); //String 3 to store the result
System.out.println(s.toString()); //Displays result
}
}
Use Immutable Objects
Immutable objects are objects whose state cannot be changed after creation. Immutable objects are thread-safe and can simplify your code by eliminating the need for locks or synchronization. Use immutable objects whenever possible to improve the performance and reliability of your code.
Default methods were introduced in Java 8 and allow you to add methods to an interface without breaking existing implementations. Default methods provide a powerful way to extend existing interfaces and create more flexible and maintainable code.
import java.time.*;
public interface TimeClient {
void setTime(int hour, int minute, int second);
void setDate(int day, int month, int year);
void setDateAndTime(int day, int month, int year,
int hour, int minute, int second);
LocalDateTime getLocalDateTime();
}
Use Reflection Sparingly
Reflection is a powerful but dangerous feature in Java that allows you to inspect and modify the behaviour of a program at runtime. Reflection can be slow and error-prone, and should only be used when necessary. If possible, use other features of Java, such as interfaces, to achieve your goals.
import java.lang.reflect.*;
public class DumpMethods {
public static void main(String args[])
{
try {
Class c = Class.forName(args[0]);
Method m[] = c.getDeclaredMethods();
for (int i = 0; i < m.length; i++)
System.out.println(m[i].toString());
}
catch (Throwable e) {
System.err.println(e);
}
}
}
Use Enumerations Instead of Constants
Enumerations are a more powerful and flexible way to represent constants in Java. Enumerations allow you to group related constants and define their behaviour, making your code more expressive and maintainable. Use enumerations whenever possible to avoid the problems associated with traditional constants.
public class Main {
enum Level {
LOW,
MEDIUM,
HIGH
}
public static void main(String[] args) {
Level myVar = Level.MEDIUM;
System.out.println(myVar);
}
}
Use Try-With-Resources for Resource Management Try-With-Resources is a feature introduced in Java 7 that allows you to automatically close resources such as files, sockets, and database connections after they are no longer needed. Try-With-Resources can simplify your code and ensure that resources are always properly closed, reducing the risk of resource leaks and other problems.
Use Javadoc to Document Your Code Javadoc is a powerful tool for documenting your Java code. With Javadoc, you can create professional-looking documentation for your code that can be easily shared with other developers. Javadoc can also help you understand your own code better and identify potential problems and bugs.
Use Dependency Injection for Loose Coupling Dependency Injection is a design pattern that promotes loose coupling between components of a system. With Dependency Injection, you can inject dependencies into a class instead of creating them inside the class, reducing the complexity and dependencies of your code. Dependency Injection can also make your code more flexible and easier to test, making it a valuable technique for Java developers to learn.
Use Unit Testing for Quality Assurance
Unit Testing is a crucial technique for ensuring the quality and correctness of your Java code. With Unit Testing, you can test individual units of code in isolation, identifying and fixing problems before they become larger issues. Unit Testing can also improve the maintainability of your code by ensuring that changes and updates don’t introduce unexpected side effects or bugs. As a Java developer, it’s essential to understand and practise Unit Testing to produce high-quality, reliable code.
Conclusion
Java developers for hire can help you implement these programming tricks in your projects. The tricks we mentioned can improve the quality and efficiency of your code, and help you stay up-to-date with the latest trends and techniques in Java programming. But if you need to do it asap, Java developers for hire can help you implement these programming tricks in your projects.
For storing, transmitting, and receiving digital assets, cryptocurrency wallets are crucial tools. Custodial and non-custodial wallets are the two major varieties that are available. A third party, like an exchange, manages custodial wallets, whereas non-custodial wallets allow users complete control over their assets. Although non-custodial wallets have become more common, some bitcoin users still choose custody-based wallets. We examine the benefits of custodial wallets for some cryptocurrency investors in this article.
Convenience and simplicity of use Custodial wallets are still widely used for a number of reasons, including their practicality and simplicity. Cryptocurrency exchanges frequently provide custody wallets, making it simple for customers to maintain their digital assets in addition to their trading. When contrasting custodial wallets vs non-custodial wallets the former frequently offers an easier user experience since users are relieved of the responsibility of storing their backup phrases and private keys, which can be burdensome and confusing for certain users. Instead, individuals may easily access their assets by logging into their account anytime they need to.
Giving up control of one’s digital assets to a third-party provider is the price one pays for this convenience. On the other hand, non-custodial wallets provide users more privacy and control over their assets, but they also require them to take responsibility for managing their own private keys and security protocols. In the end, whether a user chooses a custodial or non-custodial wallet will depend on their desire for convenience against control.
Insurance and security Users with non-custodial wallets have greater control over their digital assets, but there is also more danger and responsibility involved. A user could never again be able to access their assets, for example, if they lose their private key. Furthermore, if malware infects a user’s computer or gadget, their digital assets could be taken. Custody wallets, on the other hand, provide extra security measures like two-factor verification and advanced encryption techniques. Customers can feel more secure knowing that the vast majority of reliable custodial wallet suppliers also offer insurance against asset loss or theft.
Assistance and client services Custodial wallets also have the advantage of the support and customer service provided by the wallet provider. If a user encounters any issues with their wallet, the provider’s support team is frequently able to assist them. This might be quite beneficial for inexperienced bitcoin users who may have questions or concerns about their wallet. Additionally, custodial wallet providers usually hire a larger team of engineers and security experts that are dedicated to ensuring the dependability and security of their platform. Updates and solutions for any possible issues could be provided more quickly as a consequence.
Integration with trading platforms and exchanges Custody wallets also offer easy communication with bitcoin exchanges and trading systems. Due to the fact that custodial wallets are frequently supplied by exchanges, users may easily move money between their wallet and their trading account. This may prove to be of great assistance to active traders who need to move their assets quickly and successfully. Users may get a more complete view of their trading habits with the use of advanced trading capabilities and statistics that can be included in custody wallets.
Adherence to regulations Last but not least, businesses and institutional investors typically choose custodial wallets since they adhere to standards. Since they are typically registered with regulatory entities, suppliers of custody wallets must adhere to strict security and reporting standards. This may be of particular significance to businesses that may be the target of regulatory audits or compliance inspections. Additionally, custodial wallets can offer more accountability and transparency, which makes them a more desirable option for institutional investors.
Opportunities to earn interest
Another reason for the ongoing popularity of custody wallets is the chance to make money that they provide. By creating an interest-bearing account with some providers of custody-based wallets, users may earn a return on their digital assets. Custodial wallets can provide interest rates that are far higher than those of traditional savings accounts, making them an attractive option for anybody looking to enhance their bitcoin holdings. In addition, some providers of custodial wallets provide staking services, which let users be compensated for participating in the network’s consensus mechanism. This might prove to be quite advantageous for those who hold certain cryptocurrencies that offer stacking bonuses.
Reduced fees
Custodial wallets may also be less expensive than non-custodial ones. Customers usually benefit from lower transaction fees when transferring assets between their wallet and their exchange account since custodial wallets are commonly provided by cryptocurrency exchanges. Additionally, suppliers of custodial wallets could charge less for certain services like trading or cash withdrawals. This can be especially useful for users who wish to lower their transaction costs and boost their earnings.
Conclusion In conclusion, some cryptocurrency users continue to choose custodial wallets because of how convenient and simple they are to use. By handling the protection and storage of digital files, they provide a more user-friendly experience, but at the expense of ceding control to a third-party supplier. Non-custodial wallets provide users more freedom and privacy, but they also force them to take care of their own security precautions. Ultimately, the user’s interests and preferences will determine whether they choose a custodial or non-custodial wallet.
The distributed transaction ledgers and smart contracts that comprise blockchain technologies have applications in a wide range of industries, particularly in finance, logistics, and government. Today, we present an overview of who is involved in blockchain development and which blockchain platforms they use. Earlier on, we discussed the state of blockchain development in detail in our webinar and you can find a link to watch it below.
Engagement with blockchain technologies
Of the three blockchain technologies we track in our survey, non-fungible tokens (NFTs) garner the least attention from developers – 58% of them show no interest, likely due to its perception as a novelty technology. On the other hand, cryptocurrencies are most salient to developers – 27% are either learning about or currently working on such projects, and non-cryptocurrency blockchain technologies are very close behind, with 25% of developers similarly involved. We discussed this topic in detail in our webinar on the state of Blockchain Development.
We will focus solely on blockchain applications other than cryptocurrencies, as these technologies have the widest range of use cases and thus the most potential to shape our world. We’ll begin by looking at developers’ engagement with blockchain technologies from a regional standpoint and then through the lens of experience in software development. Finally, we’ll give an overview of which blockchain platforms are being used.
A regional view of Engagement with blockchain applications
Engagement with blockchain applications other than cryptocurrencies, referred to as blockchain applications from here on, varies greatly depending on where developers are located. North America and East Asia excluding Greater China are hotbeds of blockchain development – 15% and 12% of developers in these regions, respectively, are currently working on blockchain applications, with another 17% learning about the technology in both regions.
“North America and East Asia are hotbeds of blockchain development”
Further down the list, we see that while the Middle East & Africa has a smaller proportion of developers actively working on blockchain projects; it has the highest incidence of those learning about them (20%). This suggests that the Middle East & Africa could well become important for blockchain development in the future. Indeed, given the region’s history of rapid adoption of new foundational technologies – exemplified by Africa’s mobile banking revolution – blockchain applications in finance and banking are particularly exciting here – though the data suggests that there may still be some way to go.
“Finance and banking professionals in the Middle East and Africa are more interested in blockchain technologies than finance and banking professionals in other regions”
About a quarter of professional developers in the Middle East & Africa who are interested in blockchain technologies are also working in the finance and banking sector. It seems these developers have seen the potential for this technology to shape and disrupt the sector and are getting a head start. Looking at this from the other side, we see that the proportion of finance and banking professionals who are currently working on or learning about blockchain applications is broadly in line with the average for the region (31% vs 33%). However, the proportion who are interested in blockchain applications is 29% higher (37% vs 29%). This is the highest incidence of interest in blockchain applications amongst finance and banking professionals across any region and indicates that blockchain applications could play a pivotal role in this industry in the future.
How does experience affect engagement with blockchain applications?
Developers with 6-10 years of experience are the most likely to work on blockchain projects. It’s likely that these developers have reached the point in their career where their technical skills are sufficiently advanced to enable them to work on such demanding projects. On the other hand, we see that the least and most experienced developers are the most likely to be disinterested in such projects. Those with less than a year under their belts have yet to build their knowledge, while the most experienced developers may be looking to maintain some stability in their career and are reluctant to change tack.
“Many of the least experienced developers are actively learning about blockchain technologies. They constitute a strong pipeline of future contributors”
Developers with 11-15 years under their belts show the most passive interest in blockchain applications – whilst they aren’t learning about or working on such projects, 32% are interested in some way. These developers are at the zenith of their careers and whilst they are some of the least likely to be learning about the technology, they are also some of the most likely to be currently working on it. These developers are likely keeping a close eye on developments in the space – should they spot an opportunity, they will be able to pivot their considerable experience to become effective contributors to the space.
Interestingly, although we see that the least experienced developers are less likely than their counterparts with 1-15 years of experience to be currently working on blockchain applications, they are only slightly less likely to be learning about these projects. This demonstrates that although they lack the skills to be active contributors, the myriad applications and potential of blockchain applications are a powerful draw. We can expect that, as learning materials improve and the barriers to entry reduce – as is the case with many technologies – over the next few years, developers will be able to get involved in blockchain projects much earlier in their careers.
Which blockchain platforms are most popular?
Looking at the specific blockchain platforms that developers report using, we see that Ethereum is clearly dominant amongst learners and those actively developing alike. It’s also unique amongst the blockchain technologies that we ask about, in that it is the only one which is more popular amongst those learning about the technology than those who are currently working on it. This indicates that Ethereum’s ecosystem is in good shape – not only is it large, but it also has a healthy pipeline of new contributors.
Although new contributors are certainly good news – the utility of a blockchain rises with the number of applications that use it – a large influx can also create problems. For example, too many transactions on a network can slow things down severely and greatly increase the price of a transaction. For example, when CryptoKitties surged in popularity, the cost of a transaction on the Ethereum network increased ninefold, from ~$50 to over $450. Such is the price of success. This said, Ethereum’s recent transition to a proof-of-stake model is expected to reduce energy consumption by 99.95% and makes the platform more scalable, secure, and sustainable, potentially mitigating this pitfall.
“The Binance blockchain platform benefits from its association with the Binance crypto exchange and its interoperability with the Ethereum blockchain”
Further down the list, Binance Smart Chain is the second most widely used blockchain platform and is used significantly more by active developers than learners. Here, the Binance Smart Chain not only benefits from its association with the Binance cryptocurrency trading platform, but also its interoperability with the Ethereum blockchain. We also see a similar story with the IBM Blockchain platform – this platform is based on open-source blockchain technology managed by the Linux foundation and clearly benefits from the backing of these two large organisations and their developer and business communities.
Despite the hype, blockchain technologies are still somewhat in their infancy. Blockchain, much like cloud computing fifteen or so years ago, has the potential to underpin and enable many other technologies and experiences, but as we saw earlier, only 9% of developers are currently working on such projects. Rather than affecting an instant technological transformation, blockchain technologies have the opportunity to become a foundational technology on which our digital experience sits, much like TCP-IP – the building blocks of the internet – and developers will be key players in shaping this particular view of the future.
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As technology continues to shape the world we live in, it’s becoming increasingly clear that learning to code is one of the ultimate skills for future-proofing your career. With the demand for technology skills rapidly growing across all industries, the ability to code is no longer just a valuable asset but an essential one.
Coding is a great skill on its own, but it can even enhance your existing skills such as writing or marketing. In this article, we’ll explore why learning to code is so important and how it can help you future-proof your career with practical advice that will further your learning.
Why You Should Learn Coding
Firstly, let’s consider the job market. According to the Bureau of Labor Statistics, computer and information technology jobs are projected to grow by 11% between 2019 and 2029, much faster than the average for all other occupations.
This growth is expected to create tens of thousands of new jobs in the field, making it one of the fastest-growing industries in the world. By learning to code, you position yourself to take advantage of this growth, opening up a world of exciting career opportunities in technology.
Tech Takeover
Moreover, technology is rapidly transforming the way we work across all industries, from healthcare to finance to retail. As businesses become more reliant on technology to stay competitive, the demand for tech-savvy professionals who can develop, implement and maintain technology solutions is skyrocketing.
By learning to code, you develop a growth mindset that allows you to stay current with the latest trends and technologies. This not only helps you stay relevant in the job market but also allows you to continually improve your coding skills and take on new challenges throughout your career.
Professional Growth
In addition to the job market benefits, learning to code can also enhance your problem-solving skills, creativity, and critical thinking abilities. Coding requires you to think logically, break down complex problems into manageable parts, and find creative solutions to technical challenges.
These skills are transferable to many other areas of life and can be applied to problem-solving outside of coding. For example, problem-solving skills in coding are easily applicable to the logistical aspects of sales work. Finding the fastest and most cost-effective way to tackle a problem is something that coding instills in its pupils.
Fulfilling Career Path
Furthermore, coding is a skill that can be used to build and create, making it an incredibly fulfilling pursuit. The ability to build and bring ideas to life through coding is a powerful tool, allowing you to create software, websites, and apps that can further your financial future. By learning to code, you gain the ability to create things that matter and make a difference in people’s lives.
Not to mention, coders aren’t going to be hurting for opportunities for a long while. Even with the rise of AI, there’s always going to be value in a human developer who is willing to work with a team.
Your career path can help you build wealth, it can help you in the future in case you need to work on your credit score and take out a loan as employment history is one of the things lenders will review.
The Basics Of Learning How To Code
So, how can you start learning to code? There are many resources available online, including coding boot camps, online courses, and coding communities where you can connect with other developers and learn from their experiences.
Pick And Stick To One Programming Language
There are many programming languages to choose from, such as Python, JavaScript, and Ruby on Rails that could be the foundations of your first project.
There are too many languages out there to list down, but what’s more important than your first language is sticking to that language for at least a year.
Programming at its core involves using instructions to tell a computer what to do. You can’t learn the basics if you keep changing languages while learning. Most computer languages aren’t all that different, so it’s best to stick with a language you find relevant to your goals.
Practice Consistently
Practice, as always, makes perfect, and the same goes for programming. Start with simpler projects and gradually work your way to more meaty projects. There are many online resources available to help you learn to code, such as Codecademy, FreeCodeCamp, and Udemy.
As far as scheduling goes, make sure to set aside a set amount of hours each week where you’re learning new things. Coding doesn’t have to be rushed, but you do need to be learning something every week. Stagnancy is the enemy of progress, and to avoid that, make sure you always have time to practice coding.
Connect With The Community
Programming is often a collaborative effort, and working with others can help you learn faster and get feedback on your code. Join online communities, attend meetups, and contribute to open-source projects to expand your knowledge.
The community is also a great avenue to vent your frustrations and worries. All these developers have had their own wellness issues. They can help you work your way through the tougher parts of coding in ways that are relatable to you.
Last month I got a chance to sit and talk with Darshan Shivashankar, founder and CEO of APIWiz on our brand new podcast. We two have collaborated in the past on API lifecycle management workshop and Darshan being a technical founder, whenever we talk our conversations tend to go in all places technical. So catch up on everything we discussed in this 50 minutes episode but here’s a quick summary or gist if you will for someone who needs more buy in before lending the episode their ears.
Darshan has 15+ years of experience in industry building technical solutions especially when it comes to designing API programs for companies looking for Digital transformation. In the past Darshan has worked with various industries from telecom to healthcare, FinTech to Neo banks. Though now a founder of developer first company, Darshan shared he never envisioned or planned his career to follow a fixed trajectory. Opportunities started coming in as he worked on more advanced projects and with right problem solving mindset and experience, he was acing the digital transformation process of the industries he worked in, sometimes leading and even starting their API first journey.
Darshan figured out the technical debt associated with APIs journey of organisations wherein teams work in Silos, leading to a lack in collaboration, reliability and consistency in governance. If you’ve worked in APIs development for a big project or digital transformation mission, then you could easily relate to it. This is where Darshan felt a need for a solution that could help in API lifecycle management. After validating this idea within his network he realised that indeed there is a requirement for such a solution but not an immediate urgency to have that in place. This gave Darshan and team the opportunity to bootstrap their journey building APIWiz, focusing on addressing Developer centric problems.
I asked Darshan if he’s still involved in the development of the product and he mentioned he was actually writing code till very recently but now he’s more involved in hiring, planning and giving direction to the product, though he still knows the codebase in and out and is always ready to pull up his sleeve and get down to programming and tracking bugs whenever required, which for me was really inspiring to listen. The team at APIWiz is now scaled up after they raised funds from their investors and that’s where Darshan focused on hiring the candidate with right vision and mindset, as he believes tools and skills can be learned at job but problem solving attitude can’t be taught. Darshan also mentioned motivating team members to fill the job roles needed within the organisation enabling them to explore more arenas to work and fit in.
I also asked Darshan where he sees industry heading and things he’s most excited about but I’m gonna tease, as he really has a deep and interesting perspective on this one which I feel you should listen straight from the Podcast to better understand it.
P.S : eBPF and Raspberry Pis were mentioned 😛
Darshan also shared the struggles associated with starting a company from scratch, the role of support from family members, friends and people within your network and great tips for anyone just starting out fresh in tech and wanna make big, making this one of my favourite episodes.
If you listen to it don’t forget to share it with your friends who might learn a thing or two from this podcast. As always I’m always looking forward to your feedback to make this podcast better and if you have any guest suggestions feel free to share it via the comment section below.
