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Le bâton de comptage, un moyen de paiement oublié et pourtant officiel jusquen 2016 en France !
Hi, it’s Martouf. So today I’m going to talk to you about a way to payment that was quite extraordinary and almost disappeared memories. It’s not that old, though. this is the tally stick, a a piece of wood, but it’s got plenty of of extraordinary properties that I is going to talk to you now. For me it’s much more reliable than anything crypto-currency. We haven’t done better since long, tamper-proof and also terms of etymology (which are related to the origin of the words) is incredible on used a lot and then forgot that it comes from there and then we’ll see how it’s used.
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El proyecto MUSE GRIDS
Energy grids allow to transfer energy produced in one point to where and when people need it. But not all places in the world are well connected to a grid. Isolated, weakly connected areas and islands need to pay very high prices for that, and often need to resort to independent generators which are highly polluting. MUSE GRIDS is a Horizon 2020 project that aims to help these areas through the creation of energy communities that allow people to manage the energy production according to their demand, interconnecting different energy networks (electricity, water, heating, gas, e-mobility) via a smart control system that explores their synergies through different technologies and tools.
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Intro to Data - 02-04 - Knowledge
Sir Francis Bacon famously said that “knowledge is power”; But what makes knowledge so powerful? And what exactly is knowledge in the first place? Knowledge is a theoretical or practical understanding of the natural world around us. It explains the observations that we see and why things behave the way they do. In addition, it allows us to predict the behavior of phenomena in our world. Both of which, are quite beneficial to our survival and our ability to thrive in the world.
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Intro to Data - 02-07 - Summary
In this module we learned about data. We learned what data are and why they’re important. First, we learned that data are raw and unorganized facts created from recording observations of the world around us. Next, we learned that information is data that has been organized, analyzed, and interpreted to provide it with additional context and meaning. Then, we learned that knowledge is a collection of information that can be used to solve problems in a specific domain.
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Intro to Data - 01-02 - The Rise of Data
Data… a collection of symbols representing the quality or quantity of a physical phenomenon. Humans have likely been using data for as long as we’ve been counting on our fingers. We have evidence of humans carving notches into wood, bone, and stone to count days, lunar cycles, and animals for at least the past forty-thousand years. A few millennia ago, the Sumerians, Egyptians, and Chinese were recording written counts of items, animals, people, and astronomical observations.
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Intro to Data - 04-02 - Data Types
How do we represent data in a computer? All data inside of modern computers are stored as a series of ones and zeros. We call this binary data. The ones and zeros are called binary digits (or “bits” for short). In modern computers, data are stored in small blocks of eight bits called a “byte”. We can combine two, four, eight, or more bytes together to create larger blocks of binary data.
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Intro to Data - 03-01 - Overview
Hello and welcome back to this introductory course on data for data science. I’m Matthew Renze, data science consultant, author, and public speaker. In this module, we’ll learn about the various types of data that we will encounter in data science. What types of data exist in data science? How do we conceptually divide data into groups based on what they represent? And what are the limitations of each of these types of data?
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Intro to Data - 03-06 - Ratio Data
The second type of numerical data that we encounter in data science are ratio data. Ratio data are a type of numerical data. That is, they represent measured quantities of things. Ratio data allow for a degree of difference between two values, just like interval data. However, unlike interval data, ratio scales do have a natural (non- arbitrarily chosen) zero point. So the concept of a ratio, and multiplying or dividing two values make perfect sense.
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Intro to Data - 04-01 - Overview
Welcome back to this introductory course on data for data science. I’m Matthew Renze, data science consultant, author, and public speaker. In this module, we’ll learn about data types and how data are represented and stored in computer systems. How do we represent data in a computer? How does a computer know whether it’s dealing with a word, a number, or a date and time? And how does a computer know what types of operations can be performed on each type of data?
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Intro to Data - 01-01 - Introduction
Hi. I’m Matthew Renze, data science consultant author, and public speaker. Welcome to this introductory course on data for data science. In this course, we’ll learn about data as a foundation for data science. We’ll learn what data is, why it’s important, and how it is used within data science. In addition, we’ll learn about data types, data structures, tabular data, and the data life cycle, all from the perspective of data science.