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一些学习记录
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大气对流参数
条件性不稳定是一种潜在性不稳定。只有当起始 高度上有较强的抬升力或冲击力,将气块抬升到 自由对流高度(LFC) 以上时,对流运动才能发展,不稳定才表现出来。850hPa上的湿空气沿着干绝热线抬升,到达抬升凝结高度(LCL)后再沿着湿绝热线上升至500hPa具有的气块温度与500hPa环境温度之差。对于海拔较高的地区,不能直接用SI指数,而是应该在低层、高层分别取两个等压面代替850hPa和500hPa。如果850hPa和500hPa之间存在锋面或者逆温层,SI无意义。阈值必须针对不同季节、根据各地实际情原创 2022-06-15 16:43:36 · 6764 阅读 · 0 评论 -
并行计算导论
并行计算介绍推动并行化计算能力因素 —— 从晶体管到浮点运算速度摩尔定律:芯片的晶体管数量每18个月增长一倍。内存及磁盘速度的因素总体原创 2021-03-25 19:27:36 · 1586 阅读 · 0 评论 -
清华大学 Data Structures and Algorithms (I)
Week 4 向量(上)Binary Search 二分查找实现template <typename T>static Rank binSearch(T* A, T const &e, Rank lo , Rank hi){ while(lo < hi){ Rank mi = (lo + hi ) >> 1; // Rank mi = (lo + hi) / 2; if( e < A[mi] ){ // 小于号便于理解,与从小到大次序吻合原创 2020-12-16 11:43:30 · 1670 阅读 · 0 评论 -
Introduction to Data Science in Python Week 4
Week 4: Statistical Analysis in Python and Project原创 2020-05-06 10:28:14 · 852 阅读 · 1 评论 -
Introduction to Data Science in Python Week3
Week 3 : Advanced Python PandasMerging DataframesPandas IdiomsGroup bySplitApplyMerging DataframesWhen we want to join the DataFrames together, we have some choices to make.outer join: a union. In ...原创 2020-04-27 16:26:25 · 733 阅读 · 1 评论 -
Introduction to Data Science in Python Week 2
Week 2 : Basic Processing with PandasIntroductionThe Series Data StructureQuerying a SeriesIntroductionWhen using pandas, Stock Overflow is the best place to ask questions related to pandas.OTHER S...原创 2020-04-22 18:30:02 · 838 阅读 · 1 评论 -
Applied Data Science with Python
最近在Coursera平台上学习了密西根大学的Applied Data Science with Python 课程,因此想将所学的内容记录下来。以下是内容链接(目前还在缓慢更新!希望我不要再次摸鱼ʕ •ᴥ•ʔ)Introduction to Data Science in Python: Python Fundamentals...原创 2020-04-22 12:03:20 · 735 阅读 · 1 评论 -
Introduction to Data Science in Python Week 1
Introduction to Data Science in Pythonweek 1: Python FundamentalsPython Dates and Timesimport datetime as dtimport time as tmtm.time() #time returns the current time in seconds since the Epoch. (...原创 2020-04-22 11:59:08 · 1785 阅读 · 1 评论