Course Content
Data Types in Python
Data Types in Python
Converting: float()
Given that we have already acquired an understanding of the int()
operation, it is unnecessary to reiterate the same information. The float()
function serves a similar purpose, with the distinction of converting data into the floating-point data type.Look at this simple example:😁
variable1 = 56 variable2 = "98.7" variable3 = "5e4" print(float(variable1)) print(float(variable2)) print(float(variable3))
It seems to me that one fascinating feature of the float()
function should be noted. Not only can we represent regular numbers, but we can also represent concepts like infinity and Not a Number (NaN).
Task
You should take everything with a grain of salt!
Try to check the output
of the statements that are given in the task. They should be clear for Python too. Just output the code.
NaN - values that were not defined
Task
You should take everything with a grain of salt!
Try to check the output
of the statements that are given in the task. They should be clear for Python too. Just output the code.
NaN - values that were not defined
Everything was clear?
Converting: float()
Given that we have already acquired an understanding of the int()
operation, it is unnecessary to reiterate the same information. The float()
function serves a similar purpose, with the distinction of converting data into the floating-point data type.Look at this simple example:😁
variable1 = 56 variable2 = "98.7" variable3 = "5e4" print(float(variable1)) print(float(variable2)) print(float(variable3))
It seems to me that one fascinating feature of the float()
function should be noted. Not only can we represent regular numbers, but we can also represent concepts like infinity and Not a Number (NaN).
Task
You should take everything with a grain of salt!
Try to check the output
of the statements that are given in the task. They should be clear for Python too. Just output the code.
NaN - values that were not defined
Task
You should take everything with a grain of salt!
Try to check the output
of the statements that are given in the task. They should be clear for Python too. Just output the code.
NaN - values that were not defined
Everything was clear?
Converting: float()
Given that we have already acquired an understanding of the int()
operation, it is unnecessary to reiterate the same information. The float()
function serves a similar purpose, with the distinction of converting data into the floating-point data type.Look at this simple example:😁
variable1 = 56 variable2 = "98.7" variable3 = "5e4" print(float(variable1)) print(float(variable2)) print(float(variable3))
It seems to me that one fascinating feature of the float()
function should be noted. Not only can we represent regular numbers, but we can also represent concepts like infinity and Not a Number (NaN).
Task
You should take everything with a grain of salt!
Try to check the output
of the statements that are given in the task. They should be clear for Python too. Just output the code.
NaN - values that were not defined
Task
You should take everything with a grain of salt!
Try to check the output
of the statements that are given in the task. They should be clear for Python too. Just output the code.
NaN - values that were not defined
Everything was clear?
Given that we have already acquired an understanding of the int()
operation, it is unnecessary to reiterate the same information. The float()
function serves a similar purpose, with the distinction of converting data into the floating-point data type.Look at this simple example:😁
variable1 = 56 variable2 = "98.7" variable3 = "5e4" print(float(variable1)) print(float(variable2)) print(float(variable3))
It seems to me that one fascinating feature of the float()
function should be noted. Not only can we represent regular numbers, but we can also represent concepts like infinity and Not a Number (NaN).
Task
You should take everything with a grain of salt!
Try to check the output
of the statements that are given in the task. They should be clear for Python too. Just output the code.
NaN - values that were not defined