Python as a Programming Language: Python is a high-level object-oriented programming language which has gained immense popularity in the world of web development. The first stable release of Python happened in the year 1991 by Guido Van Rossum. Till 2017, Python was given the title as the fastest growing programming language, but in 2018, it has been crowned as the Best … [Read more...] about The Top 7 Python GUI Frameworks for Web Developers
Technical
Learn all about technical data and programming and why it's crucial for businesses. Get knowledge on how to collect and use this information to improve your products and services.
MongoDB Ruby Driver 2.5.x Case-Sensitivity Issues with Hostnames on Replica Sets
Having trouble connecting to MongoDB replica sets after upgrading the MongoDB Ruby driver to 2.5.x? We've recently received a few inquiries about this issue with the latest MongoDB Ruby driver version and wrote this post to share our findings on the problem and cause. The error message that was encountered on connection attempt was - No server is available matching preference: … [Read more...] about MongoDB Ruby Driver 2.5.x Case-Sensitivity Issues with Hostnames on Replica Sets
Best Machine Learning Tools: Experts’ Top Picks
The best trained soldiers can't fulfill their mission empty-handed. Data scientists have their own weapons ” machine learning (ML) software. There is already a cornucopia of articles listing reliable machine learning tools with in-depth descriptions of their functionality. Our goal, however, was to get the feedback of industry experts. And that's why we interviewed data … [Read more...] about Best Machine Learning Tools: Experts’ Top Picks
Machine Learning Project Structure: Stages, Roles, and Tools
Various businesses use machine learning to manage and improve operations. While ML projects vary in scale and complexity requiring different data science teams, their general structure is the same. For example, a small data science team would have to collect, preprocess, and transform data, as well as train, validate, and (possibly) deploy a model to do a single … [Read more...] about Machine Learning Project Structure: Stages, Roles, and Tools
Answer: Applications. Question: Why will your HPC system, big data system, and AI system be the same in the future?
Supercomputers and department servers have something in common with smartphones: no one really wants to buy more than they must, but the real power really comes from what applications can do with a combined platform. We now know that no one wants to carry multiple electronic organizers - that's how we ended up with so many of us having smartphones. Good bye MP3 players, GPS … [Read more...] about Answer: Applications. Question: Why will your HPC system, big data system, and AI system be the same in the future?
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What is technical data?
Technical data can be something as simple as a list of ingredients for a recipe or a more complex set of instructions for assembling a piece of furniture. Technical data can also be mathematical formulas or set points for calibration. No matter what form it takes, technical data is always designed to provide information that will help people to understand and use a particular product or service.
In some cases, technical data may be subject to special regulations, such as those governing the handling of confidential personal information. However, in general, technical data is considered to be publicly available information. Want to learn more about technical data? Datafloq has courses available. Contact us to get started.
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What is the purpose of technical data?
Technical data is often used to create engineering drawings or specifications, which are then used to manufacture the product. Technical data can also be used to troubleshoot problems with a product or system.
For example, if a component is not working properly, technicians may refer to the technical data to determine the root cause of the problem. Technical data is an essential part of the product development process and can be very useful for businesses and consumers.
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What are examples of technical data?
Technical data refers to the specifications of a product or system, including its performance, dimensions, weight, etc. It is often used in the context of engineering or manufacturing. For example, engineers will consider the vehicle’s weight, aerodynamics, and engine size when designing a new car.
Technical data can also be used to compare different products or systems. For example, if you are trying to decide between two different types of printers, you might look at their printing speed, paper capacity, and resolution.
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What is technical data analysis?
Technical data analysis aims to help make better decisions by understanding the data better. Technical data analysis can be used for different purposes, such as predicting future events, identifying trends, or spotting outliers. Many different statistical methods can be used for technical data analysis, and the choice of method will depend on the type of data and the question you are trying to answer.
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What is a high-tech startup?
A high-tech startup is a company that uses technology to create new products or services. These startups are usually founded by entrepreneurs with innovative ideas for a new business. Many high-tech startups are based around developing new software or hardware, but some may also focus on creating new medical devices or developing new clean energy technologies.
Whatever their focus, all high-tech startups share a common goal: to bring their innovative ideas to market and create value for their customers.
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What is a high-tech business?
A high-tech business is an organization that develops or uses advanced technological processes and products in its operations. Many high-tech businesses are involved in research, development, engineering, and manufacturing. They often work with cutting-edge technologies, such as artificial intelligence, biotechnology, and nanotechnology.
These businesses typically require a highly skilled workforce and substantial investment in research and development. Due to the risky nature of developing new technologies, many high-tech businesses are venture-backed startups. However, some large companies, such as Google and Apple, are also considered high-tech businesses.
