Answer Posted / nashiinformaticssolutions

Python lists are suitable general-purpose containers. Python's list comprehensions make them easy to develop and use, and they enable (relatively) fast insertion, deletion, appending, and concatenation.

They have several drawbacks, such as the inability to perform "vectorized" operations like elementwise addition and multiplication and the requirement for Python to store type information for each element while working on it due to the possibility of include objects of multiple kinds.

Histograms, algebra, linear, basic statistics, rapid searching, convolutions, FFTs, and more are among the characteristics that make NumPy arrays faster.

What is loop and types?

911

---

what is random module will do in python and what are the functions we can apply on random module

948

---

What is nonetype error in python?

927

---

which of the following is an invalid statement?

1037

---

How do I copy an object in python?

1095

---

What is a python method?

1023

---

What is setup py?

916

---

Is there a switch or case statement in python? If not then what is the reason for the same?

858

---

Tell us what is the usage of help() and dir() function in python?

1049

---

Are numpy arrays faster than lists?

933

---

Why is python so popular?

1001

---

What is yield in python?

897

---

How do I sort a list in python 3?

1018

---

What ide to use for python?

850

---

How will you get the length of the string?

893

---