Python Numpy Totorial

Question 1

What is Jupyter notebook used for?

Answer 1

A Jupyter notebook lets you write and execute Python code locally in your web browser.

Question 2

What is Colab used for?

Answer 2

Colab on the other hand is Google’s flavor of Jupyter notebooks that is particularly suited for machine learning and data analysis and that runs entirely in the cloud.

Question 3

What is Python ?

Answer 3

Python is a high-level, dynamically typed multiparadigm programming language.

Question 4

Why Python ?

Answer 4

Python code is often said to be almost like pseudocode, since it allows you to express very powerful ideas in very few lines of code while being very readable.

Question 5

Python implements all of the usual operators for Boolean logic, but uses English words rather than symbols

Answer 5

True

Question 6

Python includes several built-in container types:

Answer 6

lists, dictionaries, sets, and tuples.

Question 7

What is a list?

Answer 7

A list is the Python equivalent of an array, but is resizeable and can contain elements of different types:

Question 8

What is slicing?

Answer 8

In addition to accessing list elements one at a time, Python provides concise syntax to access sublists; this is known as slicing:

Question 9

What is a dictionary ?

Answer 9

A dictionary stores (key, value) pairs, similar to a Map in Java or an object in Javascript. You can use it like this:

Question 10

What is a set?

Answer 10

A set is an unordered collection of distinct elements.

Question 11

What is a tuple?

Answer 11

A tuple is an (immutable) ordered list of values. A tuple is in many ways similar to a list; one of the most important differences is that tuples can be used as keys in dictionaries and as elements of sets, while lists cannot.

Question 12

How are Python functions defined?

Answer 12

Using the def keyword.

Question 13

How are Python classes defined?

Answer 13

The syntax for defining classes in Python is class:

Question 14

What is Numpy?

Answer 14

Numpy is the core library for scientific computing in Python. It provides a high-performance multidimensional array object, and tools for working with these arrays.

Question 15

Numpy array?

Answer 15

A numpy array is a grid of values, all of the same type, and is indexed by a tuple of nonnegative integers.

Question 16

Rank of the array, and shape of an array?

Answer 16

The number of dimensions is the rank of the array; the shape of an array is a tuple of integers giving the size of the array along each dimension.

Question 17

Slicing numpy arrays:

Answer 17

Slicing: Similar to Python lists, numpy arrays can be sliced. Since arrays may be multidimensional, you must specify a slice for each dimension of the array:

Question 18

What is broadcasting?

Answer 18

Broadcasting is a powerful mechanism that allows numpy to work with arrays of different shapes when performing arithmetic operations. Frequently we have a smaller array and a larger array, and we want to use the smaller array multiple times to perform some operation on the larger array.