Matlab requires the `end`

key-word at the end of the block belonging to the for-loop.

Python:

In [1]:

```
for i in range(1,11):
print(i)
```

Python requires a colon (“:”) at the of the `for`

-line. (This is important and often forgotten when you have programmed in Matlab before.) Python requires the commands to be executed within the for-loop to be indented.

Matlab:

```
if a==0
disp('a is zero')
elseif a<0
disp('a is negative')
elseif a==42
disp('a is 42')
else
disp('a is positive')
end
```

Matlab requires the `end`

key-word at the very end of the block belonging to the for-loop.

Python:

In [2]:

```
a = -5
if a==0:
print('a is zero')
elif a<0:
print('a is negative')
elif a==42:
print('a is 42')
else:
print('a is positive')
```

Python requires a colon (“:”) after every condition (i.e. at the of the lines starting with `if`

, `elif`

, `else`

. Python requires the commands to be executed within each part of the if-then-else statement to be indented.

Matlab’s indexing of matrices and vectors starts a 1 (similar to Fortran), whereas Python’s indexing starts at 0 (similar to C).

In Matlab, every object is a matrix. In Python, there is a specialised extension library called `numpy`

(see Sec. [cha:numer-pyth-numpy]) which provides the `array`

object which in turns provides the corresponding functionality. Similar to Matlab, the `numpy`

object is actually based on binary libraries and execution there very fast.

There is a dedicated introduction to numpy for Matlab users available at https://docs.scipy.org/doc/numpy-dev/user/numpy-for-matlab-users.html.