How to Test for Prime Numbers in Python | Python Program to Check if Number is Prime or Not

One of the best things that you can perform with python is checking the given number is prime or not. The prime numbers concept is very standard and remembered from the primary math class. If you want to learn what is a prime number and how to test the number is prime or not in python check out the following modules without any fail. What is a Prime Number? How to Test for Prime Numbers in Python? Python Program for prime number Python program to check whether a number is Prime or not Optimized Method Explore more instances related to python concepts from Python Programs and get promoted from beginner to professional programmer level in Python Programming Language. What is a Prime Number? A prime number is any whole number (it must be greater than 1), whose only factors are 1 and itself, determining it can’t evenly be divided by any number (apart from 1 and itself, of course). Prime numbers include 2, 3, 5, 7, 11, 13, and so on until infinity. How to Test for Prime Numbers in Python? The best way to resolve this issue is to repeat through all the numbers beginning from 2 to (N/2) with the help…

Python System Administration

Overview The OS module in Python provides a way of using operating system dependent functionality. The functions that the OS module provides allows you to interface with the underlying operating system that Python is running on. (Windows, Mac or Linux. You can find important information about your location or about the process. Before we start, make sure that you have imported the OS module “import os” OS Functions explained os.system() # Executing a shell command os.stat() # Get the status of a file os.environ() # Get the users environment os.chdir() # Move focus to a different directory os.getcwd() # Returns the current working directory os.getgid() # Return the real group id of the current process os.getuid() # Return the current process’s user id os.getpid() # Returns the real process ID of the current process os.getlogin() # Return the name of the user logged os.access() # Check read permissions os.chmod() # Change the mode of path to the numeric mode os.chown() # Change the owner and group id os.umask(mask) # Set the current numeric umask os.getsize() # Get the size of a file os.environ() # Get the users environment os.uname() # Return information about the current operating system os.chroot(path) # Change…

How to use the Pexpect Module

This article is based on documentation from The reason I started to use Pexepect was because I was looking for a module that can take care of some of the automation needs I have (mostly with ssh and ftp). You can use other modules such as subprocess, but I find this module easier to use. Note, this post is not for a Python beginner, but hey it’s always fun to learn new things What is Pexpect? Pexpect is a pure Python module that makes Python a better tool for controlling and automating other programs. Pexpect is basically a pattern matching system. It runs program and watches output. When output matches a given pattern Pexpect can respond as if a human were typing responses. What can Pexpect be used for? Pexpect can be used for automation, testing, and screen scraping. Pexpect can be used for automating interactive console applications such as ssh, ftp, passwd, telnet, etc. It can also be used to control web applications via `lynx`, `w3m`, or some other text-based web browser. Installing Pexpect The latest version of Pexpect can be found here wget http://pexpect.sourceforge.net/pexpect-2.3.tar.gz tar xzf pexpect-2.3.tar.gz cd pexpect-2.3 sudo python ./setup.py install # If your systems support yum or…

How to use Fabric in Python

What is Fabric? Fabric is a Python library and command-line tool for streamlining the use of SSH for application deployment or systems administration tasks. Typical usage involves creating a Python module containing one or more functions, then executing them via the fab command-line tool. You can execute shell commands over SSH, so you only need to have SSH running on the remote machine. It interact with the remote machines that you specify as if they were local. Installation Fabric requires Python version 2.5 or 2.6 (Fabric has not yet been tested on Python 3.x) The most common ways of installing Fabric is via, pip, easy_install or via the operating system’s package manager: pip install fabric sudo easy_install fabric sudo apt-get install fabric # (the package is typically called fabric or python-fabric.) Please read the official documentation for more information (dependancies etc..) Fabric Usage On their website they write: “it provides a basic suite of operations for executing local or remote shell commands (normally or via sudo) and uploading/downloading files, as well as auxiliary functionality such as prompting the running user for input, or aborting execution” Having that information, let’s move on. The installation process added a Python script called fab…

How to use Fabric in a development environment

Overview I earlier wrote a post on “How to use Fabric in Python”, which can be found here. I received a lot of responses from that article, so I decided to write another post about Fabric. This time I would like to focus on how to use it in a development environment. What is Fabric? Just to recap what Fabric is Fabric is a Python (2.5 or higher) library and command-line tool for streamlining the use of SSH for application deployment or systems administration tasks. It provides a basic suite of operations for executing local or remote shell commands (normally or via sudo) and uploading/downloading files, as well as auxiliary functionality such as prompting the running user for input, or aborting execution. Why use Fabric in the development environment? So, we can use Fabric for streamlining the use of SSH for application deployment or systems administration tasks. In a development environment, where you have multiple servers with multiple people pushing the code multiple times per day, this can be very useful. If you would be the only person in the project who worked on a single server, a git pull (A git pull is what you would do to bring…

How to use sys.argv in Python

What is sys.argv? sys.argv is a list in Python, which contains the command-line arguments passed to the script. With the len(sys.argv) function you can count the number of arguments. If you are gonna work with command line arguments, you probably want to use sys.argv. To use sys.argv, you will first have to import the sys module. Example To show how this works. (Remember that sys.argv[0] is the name of the script. import sys print “This is the name of the script: “, sys.argv[0] print “Number of arguments: “, len(sys.argv) print “The arguments are: ” , str(sys.argv) Output This is the name of the script: sysargv.py Number of arguments in: 1 The arguments are: [‘sysargv.py’] If I run it again with additional arguments, I will get this output: This is the name of the script: sysargv.py Number of arguments in: 3 The arguments are: [‘sysargv.py’, ‘arg1’, ‘arg2’]

Working with the Python Super Function

Python 2.2 saw the introduction of a built-in function called “super,” which returns a proxy object to delegate method calls to a class – which can be either parent or sibling in nature. That description may not make sense unless you have experience working with Python, so we’ll break it down. Essentially, the super function can be used to gain access to inherited methods – from a parent or sibling class – that has been overwritten in a class object. Or, as the official Python documentation says: “[Super is used to] return a proxy object that delegates method calls to a parent or sibling class of type. This is useful for accessing inherited methods that have been overridden in a class. The search order is same as that used by getattr() except that the type itself is skipped.” How Is the Super Function Used? The super function is somewhat versatile, and can be used in a couple of ways. Use Case 1: Super can be called upon in a single inheritance, in order to refer to the parent class or multiple classes without explicitly naming them. It’s somewhat of a shortcut, but more importantly, it helps keep your code maintainable for the…

Scraping Wunderground

Overview Working with APIs is both fun and educational. Many companies like Google, Reddit and Twitter releases it’s API to the public so that developers can develop products that are powered by its service. Working with APIs learns you the nuts and bolts beneath the hood. In this post, we will work the Weather Underground API. Weather Underground (Wunderground) We will build an app that will connect to ‘Wunderground‘ and retrieve. Weather Forecasts etc. Wunderground provides local & long range Weather Forecast, weather reports, maps & tropical weather conditions for locations worldwide. API An API is a protocol intended to be used as an interface by software components to communicate with each other. An API is a set of programming instructions and standards for accessing web based software applications (such as above). With API’s applications talk to each other without any user knowledge or intervention. Getting Started The first thing that we need to do when we want to use an API, is to see if the company provides any API documentation. Since we want to write an application for Wunderground, we will go to Wundergrounds website At the bottom of the page, you should see the “Weather API for Developers”.…

Datacamp Review 2021

One of the fastest growing careers out there is that of a data scientist. The reason may be that people are drawn to the hefty six figure salaries or that they have a knack for data analysis and love working with big data. DataCamp is the best source of reference material for data science. It is the first online learning platform dedicated to providing data science training to professionals seeking the knowledge and understanding of the topic. Established in 2014, DataCamp is a MOOC-providing platform. MOOC stands for Massive Open Online Courses meaning that the company specializes in providing online courses to students all over the world. In this Datacamp review, I am going to tell how easy it is to use DataCamp then touch on the quality of courses offered. I’ll follow with telling you about some of the features you will find with DataCamp and how you can start exploring DataCamp for free before finishing up the review with the pricing and whether or not it is worth paying for DataCamp. Ease of Use When you first arrive at the DataCamp main page, you will notice that DataCamp is organized for you to learn, practice and participate in projects. Once you…

Using the Requests Library in Python

First things first, let’s introduce you to Requests. What is the Requests Resource? Requests is an Apache2 Licensed HTTP library, written in Python. It is designed to be used by humans to interact with the language. This means you don’t have to manually add query strings to URLs, or form-encode your POST data. Don’t worry if that made no sense to you. It will in due time. What can Requests do? Requests will allow you to send HTTP/1.1 requests using Python. With it, you can add content like headers, form data, multipart files, and parameters via simple Python libraries. It also allows you to access the response data of Python in the same way. In programming, a library is a collection or pre-configured selection of routines, functions, and operations that a program can use. These elements are often referred to as modules, and stored in object format. Libraries are important, because you load a module and take advantage of everything it offers without explicitly linking to every program that relies on them. They are truly standalone, so you can build your own programs with them and yet they remain separate from other programs. Think of modules as a sort of…