本文主要是作者在学习coursera的Introduction to Data Science in Python课程的学习笔记,仅供参考。 1. 50 Years of D...
only_gold.head()#return first few rowsonly_gold#return all the tablelen(df[(df['Gold'] >0) | (df['Gold.1'] >0)])#returns the number of countries who won Gold in Summer or in Winterdf[(df['Gold.1'] >0) & (df['Gold'] ==0)]#returns a table of countries who won Gold ...
这是密歇根大学《Introduction to Data Science in Python》的Coursera 第四周(最后一周)的作业,要求使用pandas包实现真实世界的数据清洗,以验证一个猜测:大学城的房价并没有收到经济下滑的影响,使用到了独立样本t测验。 importpandasaspdimportnumpyasnpfromscipy.statsimportttest_ind Assignment 4 - Hypothesis Testing...
typical values in social science are 0.1, 0.05 or 0.01 T-test from scipy import stats stats.ttest_ind? >>>Signature: stats.ttest_ind(a, b, axis=0, equal_var=True, nan_policy='propagate') >>>Docstring: Calculates the T-test for the means of *two independent* samples of scores. st...
This function should return a Series namedPointsof length 146 defanswer_four():returnpd.Series((df['Gold.2']*3)+(df['Silver.2']*2)+df['Bronze.2'],index=df.index)#answer_four() Part 2 For the next set of questions, we will be using census data from theUnited States Census Burea...
This book is not intended to cover the whole set of data science methods neither to provide a complete collection of references. Currently, data science is an increasing and emerging field, so readers are encouraged to look for specific methods and references using keywords in the net.点...
Throughout this learning path, you'll be encouraged to try out Python code in Visual Studio Code by using the Python extension and Jupyter Notebook. In this learning path, you will: Learn about Python for data science Understand the basics of using the NumPy and pandas libraries Clean and ...
However, even if the reader is new to Python this should not be a problem, since acquiring the Python basics is manageable in a short period of time. Previous Uses of the Materials Parts of the presented materials have been used in the Postgraduate course of Data Science and Big Data ...
Though Python has hundreds of libraries and many more functionalities, you don’t need to know all of them for learning Data Science Rather than becoming an expert in the entire language, you would need to just be acquainted with the basic syntax of Python. ...
analysis. It’s a very simple and elegant language that promotes good coding habits. That’s why it’s especially recommended for beginners. Python is very popular among data scientists because it combines data science libraries and algorithms with the expressive power of a regular programming ...