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Although it seems that we are only a few days away from the start of 2020, these days are also important in the field of software development. Here in this article, we will see how the coming year 2020 will change the lives of software developers.
The future of software development is here!
Traditional software development is the development of software by writing code following some fixed rules. But modern software development has witnessed a paradigm shift with advances in artificial intelligence, machine learning, and deep learning. By integrating these three technologies, developers will be able to create software solutions that learn from instructions and add additional features and patterns to the data needed to achieve the desired result.
Let's try with some code
Over time, neural network software development systems have become more complex in terms of integration as well as levels of functionality and interfaces. Developers, for example, can build a very simple neural network with Python 3.6. Here is an example program that performs binary classification with 1 or 0.
Of course, we can start by creating a neural network class:
NumPy import as NP
X=np.array([[0,1,1,0],[0,1,1,1],[1,0,0,1]])
y=np.array([[0],[1],[1]])Application of the sigmoid function:
def sigmoid ():
return 1/(1 + np.exp(-x))
def derivatives_sigmoid ():
return x * (1-x)Training the model with initial weights and variances:
epoch=10000
lr=0.1
inputlayer_neurons = X.shape[1]
hiddenlayer_neurons = 3
output_neurons = 1
wh=np.random.uniform(size=(inputlayer_neurons,hiddenlayer_neurons))
bh=np.random.uniform(size=(1,hiddenlayer_neurons))
wout=np.random.uniform(size=(hiddenlayer_neurons,output_neurons))
bout=np.random.uniform(size=(1,output_neurons))For beginners, if you need help regarding neural networks, you can search the web for leading software development companies or you can hire AI/ML developers to work on your project.
Code Modification with Output Layer Neuron
hidden_layer_input1=np.dot(X,wh)
hidden_layer_input=hidden_layer_input1 + bh
hiddenlayer_activations = sigmoid(hidden_layer_input)
output_layer_input1=np.dot(hiddenlayer_activations,wout)
output_layer_input= output_layer_input1+ bout
output = sigmoid(output_layer_input)
Calculation error for hidden code layer
E = y-output
slope_output_layer = derivatives_sigmoid(output)
slope_hidden_layer = derivatives_sigmoid(hiddenlayer_activations)
d_output = E * slope_output_layer
Error_at_hidden_layer = d_output.dot(wout.T)
d_hiddenlayer = Error_at_hidden_layer * slope_hidden_layer
wout += hiddenlayer_activations.T.dot(d_output) *lr
bout += np.sum(d_output, axis=0,keepdims=True) *lr
wh += X.T.dot(d_hiddenlayer) *lr
bh += np.sum(d_hiddenlayer, axis=0,keepdims=True) *lrLog out
print (output)
[[0.03391414]
[0.97065091]
[0.9895072 ]]It's always worth keeping up to date with the latest programming languages ββand coding practices, and programmers also need to be aware of the many new tools that help make their applications relevant to new users.
In 2020, software developers should consider including these 5 software development tools in their products no matter what programming language they use:
1. Natural Language Processing (NLP)
With a chatbot that optimizes customer service, NLP is gaining the attention of programmers working on modern software development. They use NLTK toolkits like Python NLTK to quickly incorporate NLP into chatbots, digital assistants, and digital products. By mid-2020 or the near future, you will see NLP become more important in everything from the retail business to autonomous vehicles and devices for the home and office.
As you move forward with better software development tools and technologies, you can expect software developers to use NLP in a variety of ways, from voice user interface to much easier menu navigation, sentiment analysis, context identification, emotions, and data availability. All this will be available to most users, and companies will be able to achieve productivity growth of up to $430 billion by 2020 (according to IDC, cited by Deloitte).
2. GraphQL replacing REST Apis
According to the developers at my firm, which is an offshore software development company, the REST API is losing its dominance over the application universe due to the slow loading of data that needs to be done from multiple URLs separately.
GraphQL is the new trend and the best alternative to REST based architecture that fetches all relevant data from multiple sites with a single request. This improves client-server interaction and reduces latency, making the application much more responsive to the user.
You can improve your software development skills when you use GraphQL for software development. In addition, it requires less code than the REST Api and allows you to make complex requests in a few simple lines. It can also be provided with a number of Backand as a Service (BaaS) features that make it easy for software developers to use in different programming languages, including Python, Node.js, C++, and Java.
3. Low coding / no code (low code)
All low code software development tools provide many benefits. It should be as efficient as possible when writing many programs from scratch. Low code provides pre-configured code that can be built into larger programs. This allows even non-programmers to quickly and easily create complex products and accelerate the modern development ecosystem.
According to a TechRepublic report, no-code / low code tools are already being used in web portals, software systems, mobile applications and other areas. The market for low code tools will grow to $15 billion by 2020. These tools handle everything, including workflow logic management, data filtering, imports and exports. Here are the best low code platforms in 2020:
- Microsoft PowerApps
- Mendix
- Outsystems
- ZohoCreator
- Salesforce App Cloud
- Quick Base
- Spring boot
4. Wave 5G
5G connectivity will greatly impact mobile app and software development, as well as web development. After all, with technologies such as IoT, everything is connected. Thus, the software of the device will make the most of the possibilities of high-speed wireless networks with 5G.
In a recent interview with Digital Trends, Dan Dery, Motorola's VP of Products, stated that "in the coming years, 5G will bring faster data transfers, higher bandwidth, and speed up phone software 10 times faster than existing wireless technologies."
In this light, software companies will work to bring 5G to modern applications. So far, more than 20 operators have announced upgrades to their networks. So developers will now start working on using the appropriate APIs to take advantage of 5G. The technology will greatly improve the following:
- Security of the network program, especially for Network Slicing ("network slicing").
- Providing new ways to handle user IDs.
- Allows new functionality to be added to low latency applications.
- Will influence the development of the AR/VR system.
5. Easy authentication
Authentication is increasingly becoming an effective process for protecting sensitive data. Sophisticated technology is not only vulnerable to software hacking, but also supports artificial intelligence and even quantum computing. But the software development market is already seeing many new types of authentication, such as voice analysis, biometrics, and facial recognition.
At this stage, hackers find different ways to fake online user IDs and passwords. Since mobile users are already accustomed to accessing their smartphones with a fingerprint or face scan, in this way, with authentication tools, they will not need new verification capabilities, as the likelihood of cyber theft will become less. Here are some multi-factor authentication tools with SSL encryption.
- Soft Tokens turn your smartphones into convenient multi-factor authenticators.
- EGrid templates are an easy to use and popular form of authenticators in the industry.
- Some of the best business authentication programs are RSA SecurID Access, OAuth, Ping Identity, Authx, and Aerobase.
There are companies in India and the US that develop software and do extensive research on authentication and biometrics. They are also pushing AI to create superior voice, face-id, behavioral and biometric authentication software. Now you can secure digital channels and enhance platform experiences.
Conclusion
It looks like life for programmers will become less challenging in 2020 as the pace of software development is likely to pick up. The available tools will become easier to use. Ultimately, this advancement will lead to the creation of a dynamic world entering the new digital age.
Source: habr.com