Python is a high-level object-oriented programming language used to develop different types of digital products for our client companies. Our team of developers recommends Python for all projects involving the implementation of automatons, scripting, simulations, and algorithms for Machine Learning and Artificial Intelligence. In fact, the language supports several libraries for AI development, including TensorFlow, which has become the standard tool for all deep learning activities.
Python code is also one of the best choices for Data Science and <a>Big Data Analytics</a> applications because of its support of specific libraries for matrix computation (such as NumPy) and data manipulation and analysis (such as Pandas).
This programming language also supports web development through special frameworks, such as Django and Flask. You can also create games, desktop applications and enterprise software: whatever your company's needs, Astrorei will know how to realize your digital project with the best technologies on the market.
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Our developer team prefers Python to build automations for systems integrations, such as scraping to get data from websites.
Even in these cases, this language is very suitable because it makes use of numerous libraries written in C/C++ that allow us to use complex and effective tools with ease.
Python is great for programming machine learning systems because of its dedicated libraries, such as NumPy, SciPy, Scikit-Learn, TensorFlow, Keras, and OpenCV.
This language also allows analysis to be done easily and efficiently because of the large collection of data analytics (Pandas, SciPy, NumPy) and data visualization (Matplotlib, Seaborn) libraries.
Many Big Data tools have an interface for Python and thus allow more complex tools to be used with simplified abstraction. Some tools in this area are AIrflow, PySpark, Dask, and Hadoop.
Python is a practical and concise language that saves our developers a great deal of time in the programming stages, bringing our clients several advantages in terms of cost and implementation time. Here are the main ones:
The sheer breadth of libraries (NumPy, SciPy, NumPy, Scikit-Learn, TensorFlow, Keras, OpenCV ecc.) allows our developers to customize each project according to the client's needs with the creation of machine learning algorithms, statistical calculations, automations, and more.
Being an interpreted language, the code can be executed on all major platforms, browsers and operating systems, without the user needing to perform any downloads.
It is an expressive language. This means that a single line of code can contain more commands than multiple lines written in other languages. As a result, thanks to a leaner code, the probability of bugs and errors decreases significantly.
The scalability of the language allows us to develop an <a>MVP (,[object Object],)</a> quickly to test market feedback immediately, and then enrich the project with new features and functionality with new updates after publication.
Another benefit due to the cleanliness of the code and the scalability of the language is the speed with which maintenance can be performed, maximizing the effectiveness and productivity of post-publication interventions.
The operational simplicity of Python allows us to optimize production timelines, minimizing time-to-market and consequently reducing development costs.
If you are looking for support for decision-making, problem-solving and strategy optimization or for the development of solutions and software suitable for your company, you have found it. Contact the Astrorei specialized team now to bring your projects to life.