Matteo  Renner

Matteo Renner


Python Lists VS Numpy Arrays

NumPy is the essential package for scientific computing in Python. Numpy arrays exhibits advanced mathematical and different types of operations on large numbers of data. Commonly, such operations are run more efficiently and by using Python’s built-in sequence it is possible with less code. NumPy is Python extension module but not another programming language. It offers quick and efficient operations on arrays of homogeneous data.

#technology #numpy #numpy arrays #python

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Python Lists VS Numpy Arrays
Ray  Patel

Ray Patel


top 30 Python Tips and Tricks for Beginners

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

1) swap two numbers.

2) Reversing a string in Python.

3) Create a single string from all the elements in list.

4) Chaining Of Comparison Operators.

5) Print The File Path Of Imported Modules.

6) Return Multiple Values From Functions.

7) Find The Most Frequent Value In A List.

8) Check The Memory Usage Of An Object.

#python #python hacks tricks #python learning tips #python programming tricks #python tips #python tips and tricks #python tips and tricks advanced #python tips and tricks for beginners #python tips tricks and techniques #python tutorial #tips and tricks in python #tips to learn python #top 30 python tips and tricks for beginners

Luna  Hermann

Luna Hermann


NumPy Array Tutorial - Python NumPy Array Operations and Methods

The most important feature of NumPy is the homogeneous high-performance n-dimensional array object. Data manipulation in Python is nearly equivalent to the manipulation of NumPy arrays. NumPy array manipulation is basically related to accessing data and sub-arrays. It also includes array splitting, reshaping, and joining of arrays. Even the other external libraries in Python relate to NumPy arrays.

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Numpy Array Basics

Arrays in NumPy are synonymous with lists in Python with a homogenous nature. The homogeneity helps to perform smoother mathematical operations. These arrays are mutable. NumPy is useful to perform basic operations like finding the dimensions, the bite-size, and also the data types of elements of the array.

NumPy Array Creation

Array Creation in NumPy

1. Using the NumPy functions

NumPy has a variety of built-in functions to create an array.

a. Creating one-dimensional array in NumPy

For 1-D arrays the most common function is np.arange(…), passing any value create an array from 0 to that number.

  1. import numpy as np
  2. array=np.arange(20)
  3. array


array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11,12, 13, 14, 15, 16, 17, 18, 19])

We can check the dimensions by using array.shape.

#numpy tutorials #array in numpy #numpy array #python numpy array

Kennith  Blick

Kennith Blick


Array vs. List Benchmark - Python NumPy Tutorial #1

In this Python tutorial, you will start learning about one of the most important open-source packages in Python (NumPy). Numpy offers:

  1. Powerful N-Dimensional Arrays for numerical computing
  2. Plenty of functions to deal with linear algebra, and math in general
  3. It’s fast and easy to use and most importantly, it is free.

In this introductory video you will be presented to NumPy library, learn how to install it and learn how to create arrays and matrices. Finally, you will understand why NumPy arrays are more efficient than Python Lists when dealing with mathematical operations. We will perform a benchmark comparing NumPy arrays and Python Lists. Let’s get started!

Learn how to use Jupyter Notebooks:

Playlist: NumPy Course | Video #1
Access the code here:

0:00 - What is Numpy
0:48 - Course will be presented using Jupyter Notebook
1:07 - Content of the video
1:32 - How to install
2:01 - What is a NumPy Array
2:50 - How to create NumPy Array
3:59 - Why use NumPy Array
5:39 - Speed test Benchmark
9:39 - Next NumPy video announcement

#numpy #python #python numpy tutorial #array #list benchmark

Ray  Patel

Ray Patel


Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map

Python Tips and Tricks for Competitive Programming

Python Programming language makes everything easier and straightforward. Effective use of its built-in libraries can save a lot of time and help with faster submissions while doing Competitive Programming. Below are few such useful tricks that every Pythonist should have at their fingertips:

  • **Converting a number into a List of digits using map() Function: **

Below is the implementation to convert a given number into a list of digits:

#competitive programming #python programs #python-itertools #python-library #python-list #python-list-of-lists #python-map