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2025-01-15 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Internet Technology >
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This article mainly explains "how to use python to create a numerical list", the content of the article is simple and clear, easy to learn and understand, the following please follow the editor's ideas slowly in depth, together to study and learn "how to use python to create a numerical list" bar!
1. In data visualization, almost all the data are processed by a collection of numbers, and the Python function range can easily generate a series of numbers.
2. To create a list of numbers, you can use the function list () to convert the result of range () directly into a list.
Example
For value in range (1 range 5): print (value) the above code seems to print the number 1: 5, but it doesn't actually print the number 5: range () just prints the number 1: 4, which is the result of the difference behavior that you often see in programming languages. The function range () tells Python to start counting from the first value you specify and stop when it reaches the second value you specify. What are the main application areas of python? 1. Cloud computing, typical application OpenStack.
2. WEB front-end development, many large websites are developed by Python.
3. Artificial intelligence applications, artificial intelligence developed based on big data's analysis and deep learning has essentially been unable to leave python.
4. System operation and maintenance project, the standard configuration of automatic operation and maintenance is python+Django/flask.
5. Financial management analysis, quantitative transaction, financial analysis.
6. Big data's analysis.
Thank you for your reading, the above is the content of "how to create a numerical list with python". After the study of this article, I believe you have a deeper understanding of how to use python to create a numerical list, and the specific use needs to be verified in practice. Here is, the editor will push for you more related knowledge points of the article, welcome to follow!
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