5 Reasons to Use Python for Artificial Intelligence

In the last decade, Artificial Intelligence (AI) has been transformed enormously, turning into reality what a few years ago was considered just fiction. AI can be defined as any digital artifact that extends some of the capabilities related to natural intelligence. For example; automatic vision systems and voice and pattern recognition systems.

For AI development, Python stands out as the best programming language. It is considered a high-level programming language due to it being used in complicated scenarios. Furthermore, it does not need to be compiled into the machine language instruction before execution because it is an interpreted language, so the programmer can use it directly to execute the program.

In this blog, we will give you some reasons why Python is widely used for AI.

1.The library ecosystem

First is the large number of libraries that Python has. These libraries allow developers to access entry-level elements so they don't have to code from scratch every time.

A library is one or more modules published by different sources such as PyPi, here different fragments of pre-written codes are included, allowing programmers to carry out different actions.

AIMA, pyDatalog, and SimpleAI are some of the more widespread libraries that you can use for AI.

In the PyPI repository, you can discover other Python libraries.

2. Multi-platform

Python is not only a flexible language with a manageable learning curve, but it also stands out for being versatile. Windows, Linux, and MacOS are some of the platforms Python can run on for machine learning development. To migrate the code from one platform to another, developers only have to make small-scale changes so that the code is executable on the newly chosen platform.

3. Readability

Python is also an easy-to-read language, so developers can understand code written by other developers. This leads to an efficient exchange of ideas, algorithms, and even tools among AI experts.

There are several forums where Python developers from all over the world share tutorials and support each other. Making the job of coding easier compared to other languages.

4. Visualization options

Earlier we talked about the variety of libraries that Python has, and some of them are very good tools for visualization. Libraries like Matplotlib allow you to create diagrams, graphs, and histograms to facilitate the understanding of the data, providing better visualization of the content.

5. Marked growth in popularity

In recent years Python has become the most popular programming language. Among the factors that have influenced this result is that in Python, the validation of ideas can be done between 20 and 30 lines of code, being considerably faster than using other languages, which makes it an extremely useful language for AI.

To conclude, Python's numerous library options, and its characteristics as a programming language make it the language for excellence for Artificial Intelligence.

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5 Success Tips for Young Entrepreneurs

Starting a new business puts you under enormous pressure, from searching for the perfect idea, creating a plan, or understanding your target market, every decision will request the best of you.

Being lucky enough to have a mentor would make the path a little easier. But do not panic if it is not your case, you have everything you need to be successful, and you have us to help you achieve it.

So, let's take a look at 5 successful tips to get you started.

1.Do more of what you're good at

Starting a new business will take a long time, the beginning could be even more difficult and it will definitely demand a lot of attention. But, you know what people say; ‘‘work on what you love and you won't have to work a day in your life’’.

If you put some thought into this, you will understand that being passionate about the business you decide to start will make less frustrating the bad days to come.

In the same way, it is highly important this business matches your skills and personality, because it would make it easier to succeed. In short, do more of what you're good at.

2. Solve a problem

When we talk about solving a problem, we are not talking, for example, about curing the covid disease. Actually, we talk about building your business as an imminent solution to a problem. In other words, Covid-19 brought many changes to people's lives, but let's focus on one, social distance.

This completely affected children's routine. They stopped going to schools and having direct human interaction with classmates and teachers, so many of them began to face some learning problems. Therefore, it would be a great idea for a new business to help elementary students who are struggling with online classes by providing them with a more personalized learning experience.

3. Focus on one thing first

If you think of famous brands like Amazon or even H&M at first, they focus on specific products and eventually they all end up expanding. Amazon started selling books and H&M in the 1940s became known as Hennes, selling women's only clothing and after almost 15 years in the market, they expanded into the sale of men's and children's clothing.

If they hadn't done it this way, they probably wouldn't be among the most internationally known brands today. The best decision is to start with a specific focus and eventually, if your business is growing, then consider expanding. This approach will allow you to create a well-defined audience that knows what to expect from your brand.

4. Employee morale

Even when many bosses believe that the relationship with their employees does not have to be that good. The reality is that your employees play a fundamental role in the success of your business, therefore, you must ensure a positive work environment and make sure your employees feel appreciated and encouraged. This will have a positive impact on their performance.

5. Pay attention to your customer's needs

Empathy with your customers is the first step in creating a positive long-term relationship. It is normal that you cannot always meet the needs of your customers. Actually, there may be more times than you expect when your client feels frustrated, but your job in these situations is to listen to your clients, not only listen to what they say but also focus on understanding the reason for their current feelings. You can then act on the problem and come up with a solution that really suits your needs.

In conclusion, your goal is to build a business that suits your personality and at the same time becomes an imminent solution to a problem. Even if you have dozens of great ideas for your business, focus on one at first - you'll eventually have time and resources for the rest of them. Remember, entrepreneurship is about taking big risks and giving it your all.

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How to Effectively Develop a Software Product in 7 Steps

The software development lifecycle is a collection of business rules and practices that helps to synchronize all members of the project team to develop a software product or solution.

Specifically, it organized and defined the tasks performed at each step of the software development process, allowing members to meet deadlines, project requirements, and stay on budget.

The life cycle stages vary depending on the software development process that the company chooses.

So, let’s take a look at the most adopted software development process steps.

1.Planning

For every project, planning is extremely important because it is the stage where the foundation for effective development is laid.

Various meetings take place at this stage with the aim of defining the customer's requirements. Data is collected such as: what the client wants to build, what is the objective of the product, and who will be the end-user. As well as the planning of the quality and guarantee requirements, and the definition of risks associated with the project.

Everything is done with the purpose of defining in an organized and logical way the scope that the project will have.

2. Feasibility Analysis

After obtaining the information on the customer's requirements, the next stage is to actually write these requirements down. So that developers can gain a deeper understanding of the technical and economic aspects of the project, as well as time estimates, resources, and budget.

In the same way, this document will contribute to the cooperation and understanding between the developers and the client.

3. Design

During this stage, the software architecture is created in correspondence with the specific requirements of the project that were defined in the previous stages.

This is where the work of software architects plays the main role, it is where the workflows are established, the final prototype is built and the models that will be used in the next stages will be defined.

This stage is characterized by being visual and representing the functionalities, capabilities, and structure that the software will have.

4. Development

The development phase consists of converting all the compiled design documentation into the software through code writing.

This stage is considered the backbone of the process as well as being the longest stage.

Software developers must write the code that meets the requirements defined in stage 2. The development release cycle begins by releasing the alpha, beta, and then the actual production version. 

5. Testing

Once the software is built, it goes to the testing phase of the system and the integration, which may vary depending on the test processes adopted.

Among the tests carried out are systems integration, interoperability, functionality, and user acceptance tests.

Testing is carried out to assess the quality of the code and ensure that it meets the objectives of the software. Once the software is bug-free then implementation begins.

6. Deployment

In this stage, the solution designed according to the implementation plan is installed. The newly created and tested software or application is put into production. Depending on the size of the project, a simple version can be released, or in the case of complex projects, a staggered version.

7. Maintenance

And last but not least, this is the stage of periodic updates and maintenance. This phase is of great importance because it is the moment to improve the product. Based on customer feedback, developers should work to improve the performance of the product or modify it according to user needs.

In conclusion, the software development life cycle varies from one company to another, and can also be adjusted according to the needs of each project.

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