Why Do I Love Python

Many programming languages are popular around the world, including Python, JavaScript, PHP, and C#. Each of these languages offers unique solutions for different types of problems. As the CEO of a software company, I’ve had the opportunity to work with many of these languages. However, when it comes to tackling complex problems, Python is my preferred choice. Here, I’ll share three recent experiences that highlight why Python stands out for me.

1. Dicom Uploader in Windows

Recently, we developed a solution for diagnostic centers that face challenges in managing their radiology services. Small and medium-sized diagnostic centers often struggle to afford in-house radiologists, particularly in fields like X-ray, CT scan, and MRI. These centers need quick report generation to meet patient demands.

To address this, we created a PACS (Picture Archiving and Communication System) software that allows diagnostic centers to upload X-ray, CT scan, and MRI images manually or automatically. Through this platform, hospital administrators can assign radiologists, who can then view the images and generate reports remotely.

During development, we initially used Node.js for the Dicom uploader. While it worked perfectly on Windows 10 and newer versions, it failed on Windows 7, Windows 8, and 32-bit systems. We then reassigned the task to one of our Python developers, who completed the work flawlessly. The solution now functions seamlessly across 32-bit and 64-bit systems, as well as on Windows 7, Windows 8, Windows 10, and Windows 11.

2. Sound Matching

Another project involved sound matching for a client who needed a system to compare uploaded sounds with those in their library. The system was required to detect text and tune matches with high accuracy.

Our R&D team initially attempted this project using PHP. However, we soon discovered that PHP couldn’t handle the machine learning tasks involved. We then turned to Python for its robust machine learning libraries. Using Python, we developed a highly accurate solution, and our client was thoroughly satisfied with the results.

3. Unicode Converter

We recently developed a converter to transform Bengali local language fonts into Unicode universal fonts. Initially, we used JavaScript and existing packages, but this approach resulted in numerous errors.

When we switched to Python, we found a reliable solution. Python enabled us to achieve a 100% success rate for the conversion, ensuring the software met all client requirements.

Why Python?

Based on these experiences, I believe Python is the best choice for:

• Complex Software: Python handles complex software requirements with ease. If your project involves intricate features, Python is an excellent option.
• Machine Dependability: For machine-dependent and automation tasks, such as PACS software, Python excels in reliability and performance.

If you’re considering a project and think Python might be the right fit, feel free to consult with us.

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