The ability to analyze data with Python - a dynamic, object-oriented language that combines combines remarkable power with very clear syntax - is critical in data science. Python is relatively easy to learn, available everywhere, and embraced by the industry. It is also one of the most popular languages for those learning to code.The name Python is reported to come from Monty … [Read more...] about Best Python & Django Channels for Data Scientists on Gitter
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.
Counting Elephants – How to Solve Big Problems with Big Data
One ... two ... three ... four hundred ... five hundred thousand .... How many elephants can you count before it's too many (or too much)? Counting is one of the first skills learned as a child. Before addition and subtraction, the numerical building blocks of 1-2-3 are right there with the ABCs. Whether it's your blessings or the dealer's cards or your money, counting comes … [Read more...] about Counting Elephants – How to Solve Big Problems with Big Data
Ontology: A Tree or a Forest What do You Need?
Last month having written about Taxonomies, I thought I would spend time understanding Ontologies as the word popped up a lot associated with Taxonomies. The challenge became how to explain the use of a word Ontology that is mostly used in academic and data scientist circles. Whereas the term Taxonomies is mostly used commercially in business. Recap Taxonomy the hierarchical … [Read more...] about Ontology: A Tree or a Forest What do You Need?
Best Scala channels for Data Scientists on Gitter
Scala is an object-oriented functional language that has gained wide acceptance in developer and data science communities for many of its merits, including runtime performance & stability, capability of building robust systems, ease of learning, use for both static and dynamic language coders, as well as good libraries and language facilities for building concurrent and … [Read more...] about Best Scala channels for Data Scientists on Gitter
Where Hadoop Can Use a Tuneup
With Hadoop becoming more versatile and useful to businesses of nearly any type and size, more organizations than ever before have started using this helpful big data tool. Hadoop has been around for more than a decade now, but the rise of big data analytics has placed the magnifying lens squarely over the platform. Its open source nature has allowed Hadoop to evolve over that … [Read more...] about Where Hadoop Can Use a Tuneup
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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.
