We have discussed ways to handle variables and thebest practices for naming variables in Python. We have noticed a number of searches on the site for how to return or print multiple variables in Python. Printing multiple variables in Python is quite simple. We are focused on Python 3 with a...
defload_exdata(filename):data=[]withopen(filename,'r')asf:forlineinf.readlines():line=line.split(',')current=[int(item)foriteminline]#5.5277,9.1302data.append(current)returndata data=load_exdata('ex1data2.txt');data=np.array(data,np.int64)x=data[:,(0,1)].reshape((-1,2))y=dat...
When you’re writing a function that returns multiple values in a single return statement, you can consider using a collections.namedtuple object to make your functions more readable. namedtuple is a collection class that returns a subclass of tuple that has fields or attributes. You can access ...
Python allows you to assign values to multiple variables in one line: ExampleGet your own Python Server x, y, z ="Orange","Banana","Cherry" print(x) print(y) print(z) Try it Yourself » Note:Make sure the number of variables matches the number of values, or else you will get an...
05:47Of course, you don’t have to do this in Python because Python allows you toreturn multiple values.So you can, in a single return statement,return the personalized greetingand the incremented value of how many times the function has been calledpacked in a tuple. ...
returndata data=load_exdata('ex1data2.txt'); data=np.array(data,np.int64) x=data[:,(0,1)].reshape((-1,2)) y=data[:,2].reshape((-1,1)) m=y.shape[0] # Print out some data points print('First 10 examples from the dataset: \n') ...
returndata data=load_exdata('ex1data2.txt'); data=np.array(data,np.int64) x=data[:,(0,1)].reshape((-1,2)) y=data[:,2].reshape((-1,1)) m=y.shape[0] # Print out some data points print('First 10 examples from the dataset: \n') ...
python_version ="2.7"warn_return_any = true warn_unused_configs = true exclude = ['^file1\.py$',# TOML literal string (single-quotes, no escaping necessary)"^file2\\.py$",# TOML basic string (double-quotes, backslash and other characters need escaping)]# mypy per-module options:[[...
多变量线性回归(Linear Regression with multiple variables) (1) 多维特征 & 多变量梯度下降 (2)多维梯度下降的例子:特征缩放(Feature Scaling) (3)学习率(Learning rate) (4)正规方程(Normal equation) (5)python代码实现 学习完了机器学习的多变量线性回归课程,现在来将所学记录下来。
Learn about Python variables, data types, and how to effectively use them in your programs. Understand variable naming conventions and best practices.