If you are interested in running Django or considering making a transition to Python, let us help you explore the main virtues and vices of using this framework. But before we get started, let's talk briefly about what Django is and why you should care. Django came out in 2005 and, indisputably, has turned into one of the go-to web-frameworks for growing amount of developers. … [Read more...] about The Advantages And Disadvantages of Using Django
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.
10 Tools for the Novice Data Scientist
Data scientists harness their knowledge of statistics in converting collected data into potential ideas for product development, customer retention, and generation of business opportunities. It could even help dissertation writing service with their work. Recently, it was dubbed as the sexiest job in the 21st century as demands for data scientists are increasing. In order to be … [Read more...] about 10 Tools for the Novice Data Scientist
Big Data and Risk Management in Financial Markets (Part II)
I. Introduction to forecasting If you missed the first part, I suggest you read it before going through this article. It gives a good introduction as well as an overview of traditional risk management and big data simulation. This article is instead more focused on big data forecasting. There are nowadays several new techniques or methods borrowed from other disciplines which … [Read more...] about Big Data and Risk Management in Financial Markets (Part II)
Factoring Massive Numbers: A Machine Learning Approach
We are interested here in factoring numbers that are a product of two very large primes. Such numbers are used by encryption algorithms such as RSA, and the prime factors represent the keys (public and private) of the encryption code. Here you will also learn how data science techniques are applied to big data, including visualization, to derive insights. This article is good … [Read more...] about Factoring Massive Numbers: A Machine Learning Approach
10 Things that make Embedded Java the best for the Internet of Things
The acquisition of Sun Microsystems by Oracle in 2010 has pushed Java more towards enterprises, rather than individual application development. The Java 8 platform includes a specific library suite that targets embedded system programming, thus making up for the lost ground due to lack of specific functionalities in the earlier versions of Java. Here's what you need to know … [Read more...] about 10 Things that make Embedded Java the best for the Internet of Things
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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.
