Meteostat Python Package
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Today, we officially confirm that 2023 has smashed the global temperature record, surpassing previous years by a huge margin. This alarming conclusion is based on the consolidated global temperature figure derived from six international datasets. The severity of the temperatures experienced in 2023 is vividly illustrated in Ed Hawkins' renowned climate stripes, which, for 2023, incorporate a shade of red so intense that it represents the utmost extreme on the current scale. While these climate stripes effectively initiate conversations on climate change and the #StateOfClimate, the urgency of the situation demands that 2024 becomes a pivotal year for escalating #ClimateAction. The time for mere discussion has passed; immediate and decisive action is now imperative. Please visit our website for an in-depth analysis of the six international datasets, additional graphs, and insights.👇🏽 https://lnkd.in/edw92RpS
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Global temperature increasing visualization
Our community appreciated this #DataViz, highlighting the rise in global temperatures from 1850 to 2023. It brilliantly captures global temperature change. Ed Hawkins its creator, was with us at this year's #WorldMetDay and is a treasured part of our group #Working4theWorld. Learn more about #StateOfClimate: https://lnkd.in/eNdxWvyd
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Due to the absolute drought in the south of Kerman and Sistan and Baluchistan, Jazmurian swamp has turned into a desert without water and grass. #drought #desert #dust #disasters #disasterriskreduction
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According to WHO, Iran's south eastern Zabol city due to dust storm, ranked first among the most polluted cities in the world in July 2016.
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Analyze the Data: When we have cleaned the data set, we can start analyzing the data. We can use the describe() function in Python to summarize data.
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Data Science-Data Preparation: Before analyzing data, a Data Scientist must extract the data, and make it clean and valuable. Extract and Read Data With Pandas Before data can be analyzed, it must be imported/extracted. Data Cleaning: Look at the imported data. If your data have blank and unknown value, you shoud clean your data. Data Categories: To analyze data, we also need to know the types of data we are dealing with. Data can be split into three main categories: Discrete: Numbers are counted as "whole". Continuous: Numbers can be of infinite precision. Ordinal - Contains categorical data that can be measured up against each other. #datascience #artificialintelligence #python
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The best human's friend: The Emperor's New Mind: Concerning Computers, Minds and The Laws of Physics is a 1989 book by the mathematical physicist Sir Roger Penrose. Penrose argues that human consciousness is non-algorithmic, and thus is not capable of being modeled by a conventional Turing machine, which includes a digital computer. Penrose hypothesizes that quantum mechanics plays an essential role in the understanding of human consciousness. What's your idea? #books #artificialintelligence
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Senior Engineer at Bosch on Embedded Systems | Youtuber | Influencer | Climate Sciences
1yWow this is a great feat. Will start using it