Advanced statistical consulting for business.

Valuable insights can be hidden among the organization’s accumulated databases, and as the organization processes the information correctly and statistically accurately analyzes it, its ability to channel its activities and resources will improve and all organization performance will improve accordingly.

As part of enterprise information processing efforts, many choose to use Python language for designing and executing fast algorithmic processes, including machine learning for processing large amounts of structured information such as tables and unstructured text and sensory information processing such as image processing.

What are the benefits of Python software?

• The main advantage that makes Python software so popular is the ability to do relatively fast coding, since it requires the programmer to be less engaged in software engineering and, thanks to this, more in the required application.
• Python language is available for use in both binary and source form.
• Python language is versatile and operates in a variety of operating systems while maintaining the uniformity of results obtained in the different systems.
• Many machine learning libraries and infrastructure exist in Python and are conveniently accessed. Most of the professional community in this field uses this language, making all day-to-day workflows much more accessible and easy on the one hand, and on the other hand the alternative programming languages ​​are practically non-existent, to some extent. This assertion is mostly true when it comes to machine learning.

When it comes to business, organizations and companies, the use of python is recommended by statistical consulting experts, especially in the following 3 cases:1. When seeking to work with large amounts of information, perform quick calculations and data analysis processes to draw conclusions and make decisions.2. When you want to process a very large amount of data for statistical analysis like the ones needed for the Big Data, Data Science and Artificial Intelligence fields.3. When image processing is needed for drawing conclusions, measurements, motion detection, defect recognition, shapes and patterns, object classification and more.

Use python packages for image processing

Python packages offer a comprehensive selection of state-of-the-art image processing solutions, including video, image and 3D visualization.

Using advanced image analysis and processing methods, these packages improve images, unify images, restore images based on lower resolutions and get wonderful results even when source files are old videos and images or very poor quality.

Python use for image processing is very common in the industry, in the medical, financial, and security sectors.

In summary, the Python language effectively helps organizations and businesses in various fields process the information they collect, in order to deduce the desired insights.