Twisted: Building Powerful Web Applications with Python
Twisted is an framework event-driven Python application and web server builder. Find out all you need to know about this widely used tool: origins, history,
🚀 Think you’ve got what it takes for a career in Data? Find out in just one minute!
Twisted is an framework event-driven Python application and web server builder. Find out all you need to know about this widely used tool: origins, history,
Indeed, a package manager is a tool crafted to automate the installation, removal, and updating of software components, with its primary objective being the preservation
In the Python language, slicing allows you to access specific parts of your code. This technique is extensively used in Data Science and Machine Learning,
In recent years, with the explosion in data volumes to be processed, the use of NoSQL or “not only SQL” databases has soared, with the
wxPython is a Python wrapper for the wxWidgets GUI toolset. Find out all you need to know about it: presentation, operation, advantages, alternatives, training… In
Customer feedback, use of connected objects, company reports, social networks… Data sources are multiplying, and so is the information they contain. In such a context,
While the growing importance of data facilitates decision-making within organizations, it also increases cyber risk. In this context, data protection is of paramount importance. This
Find out in this article how to optimize your teamwork time and improve the organization of your projects. We introduce you to the Jira platform:
Area charts are invaluable tools for comparing data and their evolution over time. So what are they? What is the purpose of these charts? What
Optical Character Recognition (OCR), also known as ocherecognition, encompasses all the methods used to generate text files from images containing handwritten text. With the advent
Data is a precious resource for businesses, but losing it can also have disastrous consequences. To avoid this, it’s best to implement a DLP strategy.
Having real-time data is essential for making the best decisions, regardless of the industry or company size. However, raw data is rarely analyzed as is.