#how to install tkinter

[getfreecourses-uk]

Build Real World Python Projects - GetFreeCourses

Build Real World Python Projects

Python Masterclass 2023: Build 19 Real World Python Projects Build Real World Python Projects course is designed for beginners who want to learn Python programming language from scratch. The course contains two parts: 1. Python Basics (Section 1 to Section 14) 2. Python Projects(Section 15 to Section 44 ) Here Is What You Get By Enrolling In This Course: Word-By-Word Explanation: In the entire course, I explain each line of code, without skipping a single line of code. High Quality Content: Over 55+ hours of HD(1080p) Videos. Well Structured & Easy To Learn: Course has been specially designed to make it easy for the students to learn Python, Django, Data Analysis, Flask, Tkinter, OpenCV, File Compression, Desktop App development with PostgreSQL & Web Scraping. 24 X 7 Support: I will always be there to guide you in your journey to become Python expert. _________________________________________________________________________ Here Is Everything You Will Learn In This Complete Course: In this hands-on course, you will learn Python right starting from scratch to the level where you can build almost anything with it, be it a fully functional database oriented web application or an automation tool. This course will teach you Python right from scratch from a very basic level and will gradually move you towards more advanced topics. We not just cover all the Python basics but also the most popular Python libraries such as Django, Flask, Tkinter & Selenium. The Complete Course is divided into 17 Major sections. Here is a brief description of what you will learn in each section. Section 1: Python basics. This section covers all the basics of Python, starting right from installing the required tools to covering topics like mathematical operators, strings, accepting user input, string operations, variables, conditionals like if, elif, control structures such as while & for loop, functions, modules & packages, lists, file handling, OOP in Python, regular expressions. Almost every basic Python concept is covered in this section. Section 2: Make GUI In Python Using Tkinter. Once done with the basics, we know learn the Tkinter library which allows us to create desktop based applications with Python. We learn how to create GUI apps using Tkinter & Python and also build a fully functional Desktop app i.e a calculator. Section 3: Making Database Oriented Desktop Apps With PostgreSQL. Making a simple desktop app alone isn’t sufficient, it needs a backend database to store some data. To do the same we learn how to connect our desktop apps to the backend. In this section we build a student management system software using Python, Tkinter to design the GUI & PostgreSQL database to store the data for our application in the backend. Section 4: File Compression & Encoding In Python. In this section we will learn how to perform file compression in Python to reduce file size. We also learn how to de-compress the compressed data and the methods used for it. We build a GUI based file compression tool using Python & Tkinter and a file compression library. Section 5: Text To Speech Converter Using Python. Text could be converted into speech/audio and that is exactly what is being covered in this specific section where we build a tool that generates audio from a given text. Not just that, we also learn how to convert an entire text file into mp3 which can be used to generate audiobooks from ebooks. We also learn how to convert the user input into speech. Section 6: QR Code Generator. We build a simple tool that can convert any link and convert it into a QR code that can be scanned via any smartphone that has a QR code reader. This tool creates QR code images that can be shared anywhere and the entire tool is built using Python & Tkinter. Build Real World Python Projects Section 7: Video Downloader App. In this section we built another tool to build our Python skills. This tool accepts a video URL, asks us to select the path where we want to download the specified video and then downloads that video to the specified path on our operating system. Not just that, this tool will also be able to convert video files into pure mp3 files as well. We build this tool from scratch right from architecting the code to designing the functionality to creating a user interface, all of it done using Python. Section 8: Building A Credit Card Validator Using Lhun’s Algorithm. In this section we will learn what is Lhun’s algorithm and how it is used to validate credit cards. We learn how Lhun’s algorithm can be implemented in Python and used to validate credit card numbers. This section is designed to teach algorithmic thinking and implementation in Python. Section 9: Data Analysis. Python is being widely used in the data science domain and hence it is important to learn how to use Python to analyse data. Hence in this section we learn how to use the tools and techniques used to perform data analysis. We start off by learning the Pandas library which is used to perform data analysis and all the basic concepts like DataFrames, Reindexing, Indexing, Broadcasting and also learn how to perform data plotting and visualisation with the Matplotlib library. In this section we also have a data science project which is based on analysing supermarket data to find insightful information which helps take better business decisions. We also learn how to represent data visually using multiple types of charts and bar graphs built using matplotlib. Section 10: Python Web Framework Django 3. This section will teach you how to build full-stack web applications with Python & Django 3. Django is one of the most popular web frameworks for Python and is used to program the back-end side of out web app. In this section we will learn Django right from basics and will build a simple book store web application. We will learn how to create models, how to route URL requests, how to create different views for our web app, how to integrate HTML templates and a lot more. In this section we also build a fully functional todo list application built using Django. This application performs all the basic CRUD operations which stands for Create, Read, Update & Delete data from the database. While building this application, we ensure that all the important concepts of Django are throughly covered and implemented. Section 11: Python Web Framework Flask. Flask is a micro web framework for Python used to build simpler web apps. If you want to develop some simple and small websites, you can do so using Flask. In this section we cover flask basics suck as Routing, Dynamic URLs, Templates, passing data to the server & site cookies. Section 12: REST APIs Using Django Rest Framework. In this section we learn how to build our own REST APIs using the Django Rest Framework. If you already have a Django web app built, you can create API endpoints for it using the Django Rest Framework. In this section we will build a fully functional REST API with features such as search, filtering & authentication. Section 13: Web Scraping in Python. Python can also be used to crawl websites and gather data from it. In this section we learn the same, we build a web crawler which crawls up any website of our choice and gathers links from it. Web crawlers are used by many search engines to rank websites and in this section we learn how to build a smaller version of it using Python. Section 14: Automation with Python & Selenium. Python is widely used for automation as well, especially for testing. Selenium web driver is one such tool which has been built for automating tests but the same can be used for automating other browser based tasks as well. In this section we learn how to automate tasks using Selenium and will also build a Facebook Bot that automatically posts status for us. Section 15: Best Practices: Writing Clean & Efficient Python Code. To be a good Python engineer/ developer you need to know how to write clean, concise and efficient Python code. In this section we learn some of the best practice that you must follow while writing Python code so. Section 16: Network Programming In Python Using Sockets: Building A Chat Application. Networking is an important concept in IT & Computer Science as it facilitates communication between devices or servers. Keeping this in mind, this section covers the basic networking concepts and we learn how to implement them using Python by building a simple desktop based chat application.  In this section we learn what is an IP address, what are ports, sockets and buffers and how they could be used to implement a communication program. We lean how sockets can be used for communication between process on the same and on different devices. Section 17: Image Processing With Python & OpenCV. Python can also be used to process and manipulate images and videos. In this section we learn how to use OpenCV library with Python to manipulate images. We learn some interesting things like capturing webcam video, tracking images from a live video, different image thresholding techniques, image blurring, averaging and Gaussian filtering. _________________________________________________________________________ Build Real World Python Projects So let’s begin the journey of becoming an expert in Python. In addition to the Udemy 30-day money back guarantee, you  have my personal guarantee that you will love what you learn in this  course. If you ever have any questions please feel free to message me  directly and I will do my best to get back to you as soon as  possible! _________________________________________________________________________ Make sure to enrol in the course before the price changes. Take yourself one step closer towards becoming a professional Python developer by clicking the “take this course button” now! Join the journey. Sincerely, Ashutosh Pawar Read the full article

[mooict]

Make a Image Slide Show App using Python and Tkinter

Make a Image Slide Show App using Python and Tkinter

In this tutorial we will make a making a image slide show using python and Tkinter. I am doing this tutorial in Visual Studio Code but you can use any python IDE to work on this and make it the way I have here. You will also need to install the python “pillow” library. For this tutorial we will show you how to import images into Python and view it using Tkinter framework. Its really and fun to…

[codehunter]

"UserWarning: Matplotlib is currently using agg, which is a non-GUI backend, so cannot show the figure." when plotting figure with pyplot on Pycharm

I am trying to plot a simple graph using pyplot, e.g.:

import matplotlib.pyplot as pltplt.plot([1,2,3],[5,7,4])plt.show()

but the figure does not appear and I get the following message:

UserWarning: Matplotlib is currently using agg, which is a non-GUI backend, so cannot show the figure.

I saw in several places that one had to change the configuration of matplotlib using the following:

import matplotlibmatplotlib.use('TkAgg')import matplotlib.pyplot as plt

I did this, but then got an error message because it cannot find a module:

ModuleNotFoundError: No module named 'tkinter'

Then, I tried to install "tkinter" using pip install tkinter (inside the virtual environment), but it does not find it:

Collecting tkinter Could not find a version that satisfies the requirement tkinter (from versions: )No matching distribution found for tkinter

I should also mention that I am running all this on Pycharm Community Edition IDE using a virtual environment, and that my operating system is Linux/Ubuntu 18.04.

I would like to know how I can solve this problem in order to be able to display the graph.

https://codehunter.cc/a/python/userwarning-matplotlib-is-currently-using-agg-which-is-a-non-gui-backend-so-cannot-show-the-figure-when-plotting-figure-with-pyplot-on-pycharm

[bananawired]

Windows xp minesweeper download

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A string is just a sequence of string enclosed inside single or double quotes. In our case, the print() function prints the argument (i.e "Big Python") it is given to the console. Screenshot Copy Code """ PyPortal MineSweeper Adafruit invests time and resources providing this open source code. perf_counter() measures the time in seconds from some unspecified moment in time, which means that the return value of a single call to the function isn’t useful. Let’s add a bare-bones Python timer to the example with time.perf_counter().Again, this is a performance counter that’s well-suited for timing parts of your code. It is designed to run on server as javascript game in browser or as javagame on desktop. So, here are a few Python Projects for beginners can work on. The goal of the player is to clear a rectangular board containing hidden "mines" or bombs without detonating any of them, with help from clues about the number of neighboring mines in each cell. For example, a cell normally opens when you press and release the left mouse button but "Elmar Technique" is a NF method where you change the mouse to open cells on both pressing and releasing. Today, we are sharing details about Pysa, an open source static analysis tool we’ve built to detect and prevent security and privacy issues in Python code.

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Minesweeper.js is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either **version 3** of the License, or (at your option) any later version. Typing the operator in the python console and using autocomplete CrtlSpace exposes the parameters (Same as those in the UI). In order to avoid repetition, the coordinates corresponding to a block are repeatedly added to the queue, so it needs to be marked here. Game details: Minesweeper is a one player game, played on a rectangular board. You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long. The board is divided into cells, with mines randomly distributed. You’ll get a coding exercise in Python and Java for each problem, so you can get feedback on your solution right away. The python code logic and running minesweeper are not problems.

WINDOWS XP MINESWEEPER DOWNLOAD HOW TO

The motivation of these minesweeper projects is to learn the tooling around python projects, how to create CI/CD pipelines for python projects, and distributing python eggs. In this blog post we will work on the classic game of Minesweeper. It is very simple as it was almost a year ago last time when I wrote a long python script. Python code for processing arrays can take many forms. You can already create, start and debug Python scripts and addons from VS Code with it.

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pip install tkinter To hack MineSweeper at the binary level. In this example, Rectangle is the superclass, and Square is the subclass.

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See chapter 14 of the org-mode manual for all of the details. Minesweeper made in Processing.py by ChrisB (Source Code) Python implementation with PyGame by Sayan Goswami (Source Code) Mine Sweeper by Bruce Chen (Source Code) MineSweeper by Po Mauguet (Source Code) Minesweeper! This Is How To Create A Simple MineSweeper Game In Python! Remember the old Minesweeper ? A much shorter example is below, but this example uses some odd parts of Python that I don't bother to explain in this book: grid = for y in range(10)] Use one of these two examples and place the code to create our array ahead of your main program loop. C++ is a general purpose, object-oriented, middle-level programming language and is an extension of C language, which makes it possible to code C++ in a “C style”. by loading them onto cloud hosted citrix xendesktop with add-ons such as Office 365 Enterprise E5 suite for enhanced team productivity. First game is being marked '? Create a tic-tac-toe game using open source code.

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I want to send 4 float numbers from Python code to an Arduino I was trying to send it via serial and I have some problems. It should be noted here, because a block may be extended to other blocks. Assume that we have to comply with the original version and count the mined neighbours of a clear cell now in 8 directions including the north-west, north-east, south-east, and south-west. Building and visualizing Sudoku Game Using Pygame. Python programming language (latest Python 3) is being used in web development, Machine Learning applications, along with all cutting edge technology in Software Industry. _mesh.off( Simply pass the filepath of an OFF file to the operator in your own code.

[mailmains]

Pycharm for mac download python 3.7

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While Javascript is not essential for this website, your interaction with the content will be limited. The official home of the Python Programming Language. Python is a free, open-source interpreted language that stands out for its versatility in supporting several programming paradigms, whether utilizing object-oriented language or imperative syntax, or using its command line to work in a functional way, as with languages like Haskell. The InfoZIP unzip program can be used to handle the ZIP archives if desired. tar.bz2 archives these are bzipped tar archives and can be handled in the usual way using tar and the bzip2 program.

#Pycharm for mac download python 3.7 for mac

Perform these steps to download and install Python, IDLE, Tkinter, NumPy, and PyGame: Browse to the Python for Mac download page. HTML Help (.chm) files are made available in the 'Windows' section on the Python download page. We recommend that you download and install Python 3, and use Python 3 exclusively when running programs associated with this booksite. Learning to code is hugely popular at the moment, and Python is a great coding language to learn.

#Pycharm for mac download python 3.7 mac osx

Next, run the Python Installer to install Python 3 onto your Mac. Installation instructions for Windows, Linux and Mac OSX Determine if your copy of Python is 32bit or 64bit Download the appropriate version of IfcOpenShell.

#Pycharm for mac download python 3.7 how to

Here’s how to install Python 3 on your macOS: Jump into downloads page and simply just download the latest Python version. as well: you can install a number of tools such as Cygwin, Visual Studio, or P圜harm. Kite is a free AI-powered autocomplete for Python developers. If you are on a Mac, you can use the Terminal app found inside the. On macOS and Windows it installs a pre-built wheel for the following configurations: Python 2.7. Download P圜harm Open your favorite browser, and head to the Pycharm download section, which will detect your OS. On Linux this command will build and install the source package. However, the issue is most modern macOS versions come with rather with Python 2.7.x installed and not the newer, modern version like Python 3.6.5 or. Sh For Python 2.7, open the Terminal.app or iTerm2 terminal application and then enter the following. Download the latest Python 3 and Python 2 source. For Python 3.7 enter the following: bash / Downloads / Anaconda3 - 2020.02 - MacOSX - x8664. The following features are available as part of. Python 3: from the version 3.6 up to the version 3.11. If you are a Windows user, we recommend that you install Python for Windows. Configure at least one Python interpreter.

#Pycharm for mac download python 3.7 archive

Download the latest version of Educational Products by JetBrains: for Windows, macOS or Linux. The same source code archive can also be used to build the Windows and Mac versions, and is the starting point for ports to all other platforms. To develop Python scripts in P圜harm: Download and install Python. a download, or one that comes with your OS), then on Windows, MacOS/OSX, and Linux on Intel. For example, here are the Ray 3.0.0.dev0 wheels for Python 3.7, MacOS for. If you have an existing Python installation (e.g. Result: The installer checks for and upgrades any dependencies, and gives you the latest version of the pyATS and pyATS Library core and library packages.Download Python for Mac - A free, open source and high-level programming language that can be used for web, Internet and software development, desktop GUIs, science, education and more. Download the latest Python 3 and Python 2 source. pip install -U raytune installs Ray + dependencies for Ray Tune pip. P圜harm 2022.1.2 for Mac is free to download from our application library. Work with web development options, run simple integrity rests, access imported data. Access a set of programming and monitoring tools for comprehensive management and optimization of any started project. First, download and install the community version of P圜harm: Mac Download (Open the downloaded. Pyats.robot package (contains pyATS-specific keywords)Įnables the use of the template command, which prompts you for input at runtime Develop products based on the Python language. Can I install Python on Windows 7 32 bit. Optional extras (templates and the Robot Framework plug-in) PyATS Library network automation packages

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Otherwise, you can also update the packages manually using Pip: Pip upgrade options ¶Īll pyATS and pyATS Library infrastructure # to update version (pyats )$ pyats version update # to check if any packages are out-dated (pyats )$ pyats version check -outdated # to check your current pyats version (pyats )$ pyats version check

[kks]

How to Install Tkinter in Python - with Example - in Windows 10 - Code Jana

How to Install Tkinter in Python – with Example – in Windows 10 – Code Jana

Hi there, wonderful coders. This article will serve as a transcript for my install tkinter in python video on Code Jana channel. It will also help you copy & paste the code directly to your code editor. If you haven’t yet subscribed to Code Jana, then please do so by following this subscribe now link. Here are the steps to Install Tkinter in Python: Tkinter is already included with Python…

[midgethetree]

hi midge, i have your partymemoryfixes installed and i had an elder couple throw an anniversary party but the subject memories were wrong. hdcu showed no conflict and i tried simidge to find the bhav conflict as well but honestly i dont even know if i knew how to bc it only showed me blank page. do you have any suggestion on how to solve this other than manually editing the memories back? thank you!

Hello! Once the memory has already been added the only way to fix it is to manually edit it. Also if by blank page you mean this that’s normal and means no conflicts were found (although I plan to add a proper ‘search complete’ message in future versions, since this has been confusing for people). If that white box taking up the bottom-to-mid of the screen isn’t showing up something is stopping the scan from properly completing, possibly an empty package. Go back and get the debug version instead, and make a note of what file it names before the error message. If the message reads like:

Exception in Tkinter callback Traceback (most recent call last):  File “tkinter\__init__.py”, line 1884, in __call__  File “SiMidge.py”, line 250, in find_conflicts  File “SiMidge.py”, line 138, in search_package ZeroDivisionError: division by zero

the file is empty (another thing I will improve in future versions is a more informative message when this happens and also allowing the scan to still continue to the next package...).

If SiMidge is working properly and you really don’t have any conflicts I’m not sure why you’d be getting the wrong subject, the fix works fine in my game.

[matteotorres-blog]

TPS App breakdown

I need to get this out in the ether because I know at some point i will completely forget what I wrote so here it goes. 

This front end of this application is a simple graphical user interface written in HTML, CSS, and some Javascript. 

the most important part of this front end is in the javascript where, when a button is pressed, some attributes of the button are changed, most importantly the name.

The back end part of the App is written in javascript where I essentially have a main loop continuously check to see if a button is clicked by checking the name attribute of each button . I feel like this is a pretty sloppy way of doing button commands via a GUI and that doing it purely in tkinter or even labview might be better, but when I started this project I thought I could do the whole thing with just selenium and javascript node.js but I quickly realized how much of a pain thatd be. Also I knew that python had a library that could build an executable extremely easily so I went with python, but I digress. 

Lets say that one of the top 3 rectangle buttons were clicked. I would catch the name change with my loop. Each one of these buttons represented a scene in a media app. For example “instructor only” is a scene that contains only a feed of an auto tracking camera, “Instructor and projector” is a scene where a picture in picture of the camera feed with the projector, both of which are fed into SDI slots in the back of an automate select. More on this later, actually screw it we’ll do this now.

Pause from the code and lets get into the hardware. The goal of the project was to be able to produce high quality recordings of lectures for students to use for studying, missed classes, etc. Since this was for the world famous USAF Test Pilot School, they spared no expense. So the proposed solution was to get two extremely good auto tracking cameras, equipped with a control box and we had to fit it into the existing system. 

The system in place was fairly simple. A professor would put a powerpoint on his/her computer which would display on 1 of 3 screens. Each one of these screens would also display a respective projector so that the students could see. Also the feeds of the screens would split to another piece of hardware that we don’t really care about.

The camera control hardware was also responsible for recording the lectures as well. However it was designed to be used for two cameras and a projector feed in 1 classroom, not two. 

Anyways. In order to cycle through the projector feeds so that the correct screen gets recorded on the control hardware we installed a programmable Kramer switch that can accept three inputs and output one.

Well this is all the time I have for right now. Time to GTFO and go home!

[hunterwire889]

Python Applications

Python is known for its general-purpose nature that makes it applicable in almost every domain of software development. Python makes its presence in every emerging field. It is the fastest-growing programming language and can develop any application.

Camtasia 8 studio download. Here, we are specifying application areas where Python can be applied.

1) Web Applications

` Building Modern Python Applications on AWS will explore how to build an API driven application using Amazon API Gateway for serverless API hosting, AWS Lambda for serverless computing, and Amazon Cognito for serverless authentication. Flask is a Python micro-framework used to create both simple and advanced web applications. Due to its ease-of-use and setup, we'll be using it for our demo application. If you don't have Flask already installed, it's easy to do so with a single command. Elmer - compile and run python code from C, as if it was written in C. PicklingTools is a collection of libraries for exchanging Python Dictionaries between C and Python. Weave - include C code lines in Python program (deprecated in favor of Cython) ackward exposes parts of Python's standard library as idiomatic C. Pygame is a popular Python package for writing games - encouraging students to learn programming while creating something fun. Pygame displays graphics in a new window, and so it will not work under the command-line-only approach of WSL. However, if you installed Python via the Microsoft Store as detailed in this tutorial, it will work fine.

We can use Python to develop web applications. It provides libraries to handle internet protocols such as HTML and XML, JSON, Email processing, request, beautifulSoup, Feedparser, etc. One of Python web-framework named Django is used on Instagram. Python provides many useful frameworks, and these are given below:

Django and Pyramid framework(Use for heavy applications)

Flask and Bottle (Micro-framework)

Plone and Django CMS (Advance Content management)

2) Desktop GUI Applications

The GUI stands for the Graphical User Interface, which provides a smooth interaction to any application. Python provides a Tk GUI library to develop a user interface. Some popular GUI libraries are given below.

Tkinter or Tk

wxWidgetM

Kivy (used for writing multitouch applications )

PyQt or Pyside

3) Console-based Application

Console-based applications run from the command-line or shell. These applications are computer program which are used commands to execute. This kind of application was more popular in the old generation of computers. Python can develop this kind of application very effectively. It is famous for having REPL, which means the Read-Eval-Print Loop that makes it the most suitable language for the command-line applications.

Python provides many free library or module which helps to build the command-line apps. The necessary IO libraries are used to read and write. It helps to parse argument and create console help text out-of-the-box. There are also advance libraries that can develop independent console apps.

4) Software Development

Python is useful for the software development process. It works as a support language and can be used to build control and management, testing, etc.

SCons is used to build control.

Buildbot and Apache Gumps are used for automated continuous compilation and testing.

Round or Trac for bug tracking and project management.

5) Scientific and Numeric

Python Applications In Real World

This is the era of Artificial intelligence where the machine can perform the task the same as the human. Python language is the most suitable language for Artificial intelligence or machine learning. It consists of many scientific and mathematical libraries, which makes easy to solve complex calculations.

Implementing machine learning algorithms require complex mathematical calculation. Python has many libraries for scientific and numeric such as Numpy, Pandas, Scipy, Scikit-learn, etc. If you have some basic knowledge of Python, you need to import libraries on the top of the code. Few popular frameworks of machine libraries are given below.

SciPy

Scikit-learn

NumPy

Pandas

Matplotlib

6) Business Applications

Business Applications differ from standard applications. E-commerce and ERP are an example of a business application. This kind of application requires extensively, scalability and readability, and Python provides all these features.

Oddo is an example of the all-in-one Python-based application which offers a range of business applications. Python provides a Tryton platform which is used to develop the business application.

7) Audio or Video-based Applications

Python Applications Using Pycharm

Python is flexible to perform multiple tasks and can be used to create multimedia applications. Some multimedia applications which are made by using Python are TimPlayer, cplay, Font awesome drupal 8. etc. The few multimedia libraries are given below.

Applications Of Python Programming Language

Gstreamer

Pyglet

QT Phonon

8) 3D CAD Applications

The CAD (Computer-aided design) is used to design engineering related architecture. It is used to develop the 3D representation of a part of a system. Python can create a 3D CAD application by using the following functionalities.

Fandango (Popular )

CAMVOX

HeeksCNC

AnyCAD

RCAM

9) Enterprise Applications

Python can be used to create applications that can be used within an Enterprise or an Organization. Some real-time applications are OpenERP, Tryton, Picalo, etc.

10) Image Processing Application

Python contains many libraries that are used to work with the image. The image can be manipulated according to our requirements. Some libraries of image processing are given below.

OpenCV

Pillow

SimpleITK

In this topic, we have described all types of applications where Python plays an essential role in the development of these applications. In the next tutorial, we will learn more concepts about Python.

Next TopicHow To Install Python

[roomfox981]

Install Python And Pip Mac

This article will help you to set up a Python virtual environment on Mac OS or your Macbook. If you are a Mac user, you should know that Python 2.7.x comes pre-installed in your Macbook, but as that is required by your operating system, so you cannot modify it or update it and I would recommend that you don't use it at all.

Install Python And Pip Macro

Install Python Pip Mac

Install Python And Pip Machinery

Mac Pip Install Python 3

Instead, you should set up a virtual environment for your development purpose. You must be thinking about why we need a virtual environment? So here are a few points in its favor:

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Pip Installs Packages (pip) is the default package manager that’s used in Python. It allows users to easily install third-party packages that aren’t included in the standard Python library. Modern Mac systems come with Python and PIP already installed. However, this version of Python tends to be outdated and not the best choice for serious Python development. It's highly recommended that you install a more current version of Python and PIP.

When we have a virtual environment, then we can install new packages inside the virtual environment which will not affect the operating system's python modules.

We can have different versions of Python installed inside the virtual environment.

You can set up a different virtual environment for each project for example if you are working on one project based on Tkinter module, some other projects based on Numpy module, then you can easily do this.

So to set up a virtual environment, we won't be using virtualenv or virtualenvwrapper module, which are most popular to set up a virtual environment.

But we will be using the venv module which comes as a default with Python 3.x version and is recommended to use for virtual environment creation.

$ brew switch python 3.7 Error: python does not have a version '3.7' in the Cellar. Python's installed versions: 3.7.61 and restarted the computer, but without success. So how to install python 3.7 as the standard-python-installation on a mac? In either case, make sure that pip/pip3 is upgraded to the latest version: To get pip installed and updated in Python 2.7.18, use the following: python -m ensurepip -upgrade To upgrade the existing pip3 in the Python 3.8.4 or earlier Python3.x: pip3 install -U pip and for Pygments, you probably want the following (or pip3 if in Python 3.8.4).

Installing Python 3.8 on Mac OSX

We will use Homebrew to install Python 3.8 and will then move on to creating a virtual environment. If you don't have Homebrew installed on your Macbook, you can install Homebrew on your MacOSX and then use it to install Python 3.8 on your machine.

Once you have Homebrew set up, run the following command to install the latest version of Python:

Homebrew will also install pip for you which you can verify by running the pip3 command.

To verify the successful installation of Python 3.x version, run the python3 command and the IDLE should start in your terminal.

Use venv to create Virtual Environment

Start docker in ubuntu linux. As per the official documentation of venv module,

The venv module provides support for creating lightweight “virtual environments” with their own site directories, optionally isolated from system site directories. Each virtual environment has its own Python binary (which matches the version of the binary that was used to create this environment) and can have its own independent set of installed Python packages in its site directories.

We can run the following command to create a virtual environment:

This will create a virtual environment for you with the following files in the virtual environment directory my_env:

bin

include

lib

pip-selfcheck.json

pyvenv.cfg

To activate the virtual environment, run the following command:

This will start the virtual environment and you should see the name of the virtual environment added before the directory name as shown in the image below:

Now you can install anything in it, by running the pip3 install command, for example to install the requests module, run the following command:

Install Python And Pip Macro

To get out of the virtual environment, run the exit command.

Conclusion:

With this you have the complete virtual environment setup, now create any .py script and try running it in the virtual environment. Also, you can install as many modules as you want in the virtual environment.

Getting started with JupyterLab

The installation guide contains more detailed instructions

Install with conda

If you use conda, you can install it with:

Install with pip

If you use pip, you can install it with:

If installing using pip install --user, you must add the user-level bin directory to your PATH environment variable in order to launch jupyter lab. If you are using a Unix derivative (FreeBSD, GNU / Linux, OS X), you can achieve this by using export PATH='$HOME/.local/bin:$PATH' command.

Run JupyterLab

Once installed, launch JupyterLab with:

Getting started with the classic Jupyter Notebook

conda

We recommend installing the classic Jupyter Notebook using the conda package manager. Either the miniconda or the miniforge conda distributions include a minimal conda installation.

Then you can install the notebook with:

pip

If you use pip, you can install it with:

Congratulations, you have installed Jupyter Notebook! To run the notebook, run the following command at the Terminal (Mac/Linux) or Command Prompt (Windows):

See Running the Notebook for more details.

Getting started with Voilà

Install Python Pip Mac

Installation

Voilà can be installed using conda or pip. For more detailed instructions, consult the installation guide.

conda

Install Python And Pip Machinery

If you use conda, you can install it with:

Mac Pip Install Python 3

pip

If you use pip, you can install it with:

[innovativeml]

Python Libraries

Introduction

Python is a feature-rich programming language. Thanks to one of the most substantial open source communities, Python has numerous libraries created for numerous fields in programming. Python has actually devoted libraries for machine learning, information science, data analytics, image processing, web scraping, web development, natural language processing, etc . In this post, we will see how to set up and import various libraries in Python for different jobs. We will also take a look at a few of the best Python libraries developed for newbies and will see some examples of their use.

What are Python Libraries? In easiest terms, Python libraries are collections of recyclable source code written in Python. We can describe the Python libraries as collections of various modules. Modules are files including source codes for particular tasks. Python has an inbuilt standard library that is instantly set up when we install Python on our machines. The standard Python library includes more than 200 modules for fundamental operations like managing I/O, file handling, arithmetic operations, coercions, and a lot more.

What are a few of the best Python libraries for novices? Python has a great deal of open-source libraries that can be imported and used by any developer. In this area, we will take a look at some of the best Python libraries for novices.

Numpy Numpy is first in the list of finest Python libraries for newbies. It has been developed for numerical estimations and supports variety processing. Numpy provides various performances for processing multidimensional ranges and matrices. Due to its effectiveness in numerical estimations, numerous other Python libraries like Pandas and Scipy are built utilizing Numpy. Numpy deals efficient implementation of many mathematical functions and matrix operations. With data structures like 1-d selections, 2-d arrays, and masked ranges, Numpy also supplies assistance for intricate mathematical operations like integration which makes it an excellent replacement for MATLAB. Additionally, Python is open source and MATLAB is accredited, making Numpy a popular choice for programmers.

Pandas Pandas, equipped with its 2 popular data structures, namely Series and DataFrame, is among the very best tools to process tabular or time-series information. Having tools for quickly organizing, checking out, representing, and controling data, Pandas is a must to discover library for information science. It has special functions for indexing, positioning, data labelling, and handling missing out on worths. We can import information from Excel spreadsheets, JSON files, HDF5, and CSV files directly into pandas Dataframes and process them with so relieve that even a non-programmer can understand the code. For its capability to handle information efficiently and being so simple to find out, Pandas finds its location in the list of the very best Python libraries for beginners.

Matplotlib Matplotlib has been developed for plotting charts in Python. We can use matplotlib to create high-quality charts and numerous types of other plots from tabular or direct data. We can also develop several plots in a single image for contrasts. Matplotlib library can also be incorporated with other libraries such as ggplot, seaborn, and basemap for mapping various kinds of charts and plots.

OpenCV OpenCV is a Python library designed for image processing. It is a perfect tool for image processing as it allows users to read and compose images at the same time. We can diagnose and control images and videos for better detailing using functions readily available in OpenCV. It utilizes Numpy arrays to process images and is really effective in regards to cost of execution. A major downside with OpenCv is that it has no correct documents. Despite this, you can discover it utilizing other sources and carry out image processing extremely quickly in Python.

Scipy Scipy is built on Numpy and is designed for technical and clinical calculations. Scipy includes various modules created for jobs like integration, optimization, stats, and linear algebra. It likewise offers assistance for image processing as it utilizes Numpy selections, and images are represented utilizing varieties. Being an open-source library, it likewise has great online forums where we can go over any concerns we face while programs.

SQLAlchemy SQLAlchemy is a database abstraction library designed for newbies. With an easy-to-understand interface and adjustable system, SQLAlchemy offers users a simple way to access and control databases. It supports a wide range of databases and includes numerous constant patterns and designs, which have actually been designed for effectiveness. With SQLAlchemy, we can also carry out WASTE operations in batches. It likewise features performances, which allow us to create database schemas and things models from scratch. All these features make SQLAlchemy an excellent option for database control tools for novices.

wxPython wxPython is an alternative to Tkinter. It is a graphical user interface toolkit, which can be used to handle and tailor layout styles. With cross-platform assistance and easy installation and usage, wxPython is a good tool for beginners to start with GUI design and development.

BeautifulSoup BeautifulSoup is a library created for parsing HTML and XML files. We can straight carry out web scraping and extract data from web pages utilizing this library. Being an open-source library, it has a large designer neighborhood and proper documentation that includes the library. It makes BeautifulSoup a user friendly tool since we can read the documents to search for use of the functionalities. Furthermore, we can also ask questions on online forums when we experience any issue while using it.

Requests Requests is a Python library used for managing HTTP requests. It enables us to examine, customize, license and configure HTTP demands using common HTTP methods. We can deal with customized headers, SSL certificates, Cookies, connection pooling, thread security, and authentication with the help of functions and approaches supplied by the Requests library. With the Demands library, we can likewise work quickly with files as it permits us to publish multiple files in a single attempt. Additionally, it offers automated unzipping, which permits us to bring back and easily recuperate compressed files.

TextBlob TextBlob is a library that offers natural language processing functionalities with utmost ease. With less than 10 lines of code, we can carry out natural language processing on any text information with TextBlob which makes it the first choice for novices who are going to carry out natural language processing in Python. TextBlob uses complex performances like tokenization, lemmatization, translation, N-gram detection, and part of speech marking which makes it among the best Python libraries for newbies.

Summary

Python is one of the wealthiest programming languages in terms of libraries and features. In this article, We have actually talked about Python libraries, their installation, and usage. We also looked at a few of the very best Python libraries for novices as well as for machine learning and information science. To dive deeper into their usage, you can try hands-on projects, which will help you understand the features of Python programming and its libraries in a better method. You can also attempt artificial intelligence and information science courses on InsideAIML to gain a deep understanding of ideas along with hands-on experience.

[ssiddique]

How to install Python IDLE in Linux

How to install #Python #IDLE in #Linux

IDLE is integrated development environment for python developed in Python and Tkinter GUI toolkit. It comes with Python installation. It also bundled with many Linux as a part of Python. If you have just started learning Python, you probably are using IDLE. IDLE is cross-platform application used by many beginners. If IDLE is not already installed on your Mac or Linux, this article will help you…

[abubakrjajja]

List Of Free Courses To Do In 2021

ASSLAMOALAIKUM !!

As I promised you guys for free courses in my last post and I noticed so many people want to learn something but they can’t afford expensive courses or they don’t know where to start. There shouldn’t be any compromise on getting yourself educated. So, here is the list of free courses for your Self Learning.

Disclaimer : These courses are for educational purpose only. It is illegal to sell someone’s courses or content without there permission. I’m not the owner of any of these courses. I’m only willing to help you and I don’t earn from this blog or any links.

All courses are in English Language.

How to Download

Download & Install uTorrent app in your Laptop or Mobile

Choose your course from the list below

Click the course title & it will download a (.torrent) file

Launch (.torrent) file and click OK

Now download will start & it’ll take time depending on your internet speed

Islam

Basics of Islamic Finance [download] [info]

Arabic of the Quran from Beginner to Advanced [download] [info]

How to read Quran in Tajweed, Quranic Arabic Course [download] [info]

Draw Islamic Geometric Patterns With A Compass And Ruler [download] [info]

Digital Marketing

The Complete Digital Marketing Course — 12 Courses in 1 [download] [info]

Ultimate Google Ads Training 2020: Profit with Pay Per Click [download] [info]

Digital Marketing Masterclass — 23 Courses in 1 [download] [info]

Mega Digital Marketing Course A-Z: 12 Courses in 1 + Updates [download] [info]

Digital Marketing Strategies Top Ad Agencies Use For Clients [download] [info]

Social Media Marketing + Agency

Social Media Marketing MASTERY | Learn Ads on 10+ Platforms [download] [info]

Social Media Marketing Agency : Digital Marketing + Business [download] [info]

Facebook Ads & Facebook Marketing MASTERY 2021 [download] [info]

Social Media Management — The Complete 2019 Manager Bootcamp [download] [info]

Instagram Marketing 2021: Complete Guide To Instagram Growth [download] [info]

How Retargeting Works–The Complete Guide To Retargeting Ads! [download] [info]

YouTube Marketing & YouTube SEO To Get 1,000,000+ Views [download] [info]

YouTube Masterclass — Your Complete Guide to YouTube [download] [info]

Video Editing + Animation

Premiere Pro CC for Beginners: Video Editing in Premiere [download] [info]

Video Editing complete course | Adobe Premiere Pro CC 2020 [download] [info]

Learn Video Editing with Premiere Pro CC for beginners [download] [info]

2D Animation With No Drawing Skills in AE [download] [info]

Maya for Beginners: Complete Guide to 3D Animation in Maya [download] [info]

After Effects — Motion Graphics & Data Visualization [download] [info]

After Effects CC 2020: Complete Course from Novice to Expert [download] [info]

Graphic Designing

Adobe Photoshop CC — Essentials Training Course [download] [info]

Photoshop CC Retouching and Effects Masterclass [download] [info]

Graphic Design Masterclass — Learn GREAT Design [download] [info]

Graphic Design Bootcamp: Photoshop, Illustrator, InDesign [download] [info]

Canva 2019 Master Course | Use Canva to Grow your Business [download] [info]

CorelDRAW for Beginners: Graphic Design in Corel Draw [download] [info]

Learn Corel DRAW |Vector Graphic Design From Scratch | 2020 [download] [info]

Digital Painting: From Sketch to Finished Product [download] [info]

The Ultimate Digital Painting Course — Beginner to Advanced [download] [info]

Graphic Design Masterclass Intermediate: The NEXT Level [download] [info]

Amazon & Dropshipping

How to Start an Amazon FBA Store on a Tight Budget [download] [info]

The Last Amazon FBA Course — [ 2020 ] Private Label Guide [download] [info]

Amazon Affiliate Marketing Using Authority Site (Beginners) [download] [info]

Amazon Affiliates Mastermind: Build Authority Sites [download] [info]

Amazon FBA Course — How to Sell on Amazon MASTERY Course [download] [info]

The Complete Shopify Aliexpress Dropship course [download] [info]

Virtual Assistant

New Virtual Assistant Business — Your Blueprint to Launch [download] [info]

Must-Have Tools for Virtual Assistants [download] [info]

Learn How To Hire and Manage Your Virtual Assistants [download] [info]

Common Virtual Assistant Interview Questions (and Answers) [download] [info]

WordPress

Wordpress for Beginners — Master Wordpress Quickly [download] [info]

Become a WordPress Developer: Unlocking Power With Code [download] [info]

How To Make a Wordpress Website -Elementor Page Builder [download] [info]

The Complete WordPress Website & SEO Training Masterclass [download] [info]

Complete WordPress Theme & Plugin Development Course [2020] [download] [info]

How to build an ecommerce store with wordpress & woocommerce [download] [info]

Website Development for Beginners in Wordpress [download] [info]

Web Design with WordPress: Design and Build Great Websites [download] [info]

Web Development + SEO

The Complete Web Developer Course 2.0 [download] [info]

Build Websites from Scratch with HTML & CSS [download] [info]

Django 3 — Full Stack Websites with Python Web Development [download] [info]

Web Development: Make A Website That Will Sell For Thousands [download] [info]

Set up a localhost Web Server for Faster Website Development [download] [info]

Website Design With HTML, CSS And JavaScript For Beginners [download] [info]

Adobe Muse CC Course — Design and Launch Websites [download] [info]

SEO 2020: Complete SEO Training + SEO for WordPress Websites [download] [info]

Complete SEO Training With Top SEO Expert Peter Kent! [download] [info]

SEO AUDIT MASTERCLASS: How to do a Manual SEO Audit in 2020 [download] [info]

Freelancing

Seth Godin’s Freelancer Course [download] [info]

Fiverr Freelancing 2021: Sell Fiverr Gigs Like The Top 1% [download] [info]

Complete Web Design: from Figma to Webflow to Freelancing [download] [info]

Freelance Bootcamp — The Comprehensive Guide to Freelancing [download] [info]

Learn Photoshop, Web Design & Profitable Freelancing [download] [info]

Start a Freelance Business: Take Back Your Freedom Now! [download] [info]

How to Dominate Freelancing on Upwork [download] [info]

Copywriting — Become a Freelance Copywriter, your own boss [download] [info]

The Freelance Masterclass: For Creatives [download] [info]

Freelance Article Writing: Start a Freelance Writing Career! [download] [info]

Copywriting: Master Copywriting A — Z | Content Writing[download] [info]

Computer Science

Computer Science 101: Master the Theory Behind Programming [download] [info]

SQL — MySQL for Data Analytics and Business Intelligence [download] [info]

Spark and Python for Big Data with PySpark [download] [info]

Learn SAP ABAP Objects — Online Training Course [download] [info]

Build Responsive Real World Websites with HTML5 and CSS3 [download] [info]

Modern HTML & CSS From The Beginning (Including Sass) [download] [info]

Java Programming Masterclass for Software Developers [download] [info]

Java In-Depth: Become a Complete Java Engineer! [download] [info]

MongoDB — The Complete Developer’s Guide 2020 [download] [info]

Complete Whiteboard Animation in VideoScribe — 5 Animations [download] [info]

The Complete React Native + Hooks Course [2020 Edition] [download] [info]

Flutter & Dart — The Complete Guide [2021 Edition] [download] [info]

Ultimate AWS Certified Solutions Architect Associate 2021 [download] [info]

Cisco CCNA 200–301 — The Complete Guide to Getting Certified [download] [info]

App Development

Mobile App Development with PhoneGap [download] [info]

Desktop Application Development Windows Forms C# [download] [info]

Python Desktop Application Development with PyQt [download] [info]

GUI Development with Python and Tkinter [download] [info]

Cross-platform Desktop App Development for Windows Mac Linux [download] [info]

The Complete Android Oreo Developer Course — Build 23 Apps! [download] [info]

The Complete Android App Development [download] [info]

Complete VB.Net Course,Beginners to Visual Basic Apps-7 in 1 [download] [info]

Learning Visual Basic .NET — A Guide To VB.NET Programming [download] [info]

Game Development

Lua Programming and Game Development with LÖVE [download] [info]

Unreal Engine C++ Developer: Learn C++ and Make Video Games [download] [info]

Complete C# Unity Game Developer 2D [download] [info]

Complete C# Unity Game Developer 3D [download] [info]

Python Bootcamp 2020 Build 15 working Applications and Games [download] [info]

RPG Core Combat Creator: Learn Intermediate Unity C# Coding [download] [info]

Make a fighting game in Unity [download] [info]

Coding

Ultimate Rust Crash Course [download] [info]

C Programming For Beginners — Master the C Language [download] [info]

Mastering Data Structures & Algorithms using C and C++ [download] [info]

C++: From Beginner to Expert [download] [info]

Lua Scripting: Master complete Lua Programming from scratch [download] [info]

PHP for Beginners — Become a PHP Master — CMS Project [download] [info]

Learn Object Oriented PHP By Building a Complete Website [download] [info]

PHP with Laravel for beginners — Become a Master in Laravel [download] [info]

Learn Python Programming Masterclass [download] [info]

Python Beyond the Basics — Object-Oriented Programming [download] [info]

Node.js, Express, MongoDB & More: The Complete Bootcamp 2021 [download] [info]

Node.js API Masterclass With Express & MongoDB [download] [info]

Engineering & Technology

Arduino Step by Step: Getting Started [download] [info]

Arduino Programming and Hardware Fundamentals with Hackster [download] [info]

Arduino Step by Step Getting Serious [download] [info]

Complete Guide to Build IOT Things from Scratch to Market [download] [info]

Introduction to Internet of Things(IoT) using Raspberry Pi 2 [download] [info]

Internet of Things (IoT) — The Mega Course [download] [info]

Automobile Engineering: Vehicle dynamics for Beginners [download] [info]

Automotive 101: A Beginners Guide To Automotive Repair [download] [info]

Mechanical Engineering and Electrical Engineering Explained [download] [info]

Basics Of PLC Programming From Zero Using LogixPro Simulator [download] [info]

Internal Combustion Engine Basics (Mechanical Engineering) [download] [info]

Deep Learning A-Z: Hands-On Artificial Neural Networks [download] [info]

Artificial Intelligence A-Z™: Learn How To Build An AI [download] [info]

Tensorflow 2.0: Deep Learning and Artificial Intelligence [download] [info]

Business & Management

Business Continuity Management System. ISO 22301 [download] [info]

The Data Science Course 2020: Complete Data Science Bootcamp [download] [info]

An Entire MBA in 1 Course:Award Winning Business School Prof [download] [info]

Brand Management: Build Successful Long Lasting Brands [download] [info]

IT Help Desk Professional [download] [info]

Ethics and Attitude in the Office [download] [info]

The Ultimate Microsoft Office 2016 Training Bundle [download] [info]

How to Sell Anything to Anyone [download] [info]

The Complete Communication Skills Master Class for Life [download] [info]

Business Ethics: How to Create an Ethical Organization [download] [info]

Others Mixed

Blogging Masterclass: How To Build A Successful Blog In 2021 [download] [info]

Blogging for a Living — Perfect Small Budget Project [download] [info]

The Complete JavaScript Course 2021: From Zero to Expert! [download] [info]

The Complete Foundation Stock Trading Course [download] [info]

Lead Generation MASTERY with Facebook Lead & Messenger Ads [download] [info]

Data Entry Course for Beginners [download] [info]

SAP WM Course on RF/Mobile Data Entry [download] [info]

The complete AutoCAD 2018–21 course [download] [info]

Complete course in AutoCAD 2020 : 2D and 3D [download] [info]

The Complete Foundation FOREX Trading Course [download] [info]

Complete Fitness Trainer Certification: Beginner To Advanced [download] [info]

Health Coaching Certification Holistic Wellness Health Coach [download] [info]

Chinese language for beginners : Mandarin Chinese [download] [info]

Learn Italian Language: Complete Italian Course — Beginners [download] [info]

Emotional Intelligence: Master Anxiety, Fear, & Emotions [download] [info]

Accounting & Financial Statement Analysis: Complete Training [download] [info]

Accounting in 60 Minutes — A Brief Introduction [download] [info]

The Complete Cyber Security Course : Hackers Exposed! [download] [info]

How To Be Successful in Network Marketing [download] [info]

Create and Sell Online Courses in Website with WordPress CMS [download] [info]

Teacher Training — How to Teach Online — Remote Teaching 1Hr [download] [info]

Sell Your Art Masterclass [download] [info]

The Ultimate Guide To Food Photography [download] [info]

Fundamentals of Analyzing Real Estate Investments [download] [info]

[freeudemycourses]

[FREE] Python Crash Course for beginners

[FREE] Python Crash Course for beginners

What you Will learn ? How to download and install python How to interact with the python IDLE How to use Python Shell How to use the python editor How to create variables How to create a python list Create Desktop applications with tkinter Create a number guessing game Create a random number generator Create a digital clock Course Description Python is a dynamic modern object -oriented…

[codeeu]

Is it love or just Python? How to develop a love calculator using a simple algorithm in Python

by Ivana Vezjak, ICT teacher at Elementary school August Šenoa Osijek, Croatia

We have a new EU Code Week in front of us, taking place in October 2020. We are already coming up with ideas for new projects and new ways to celebrate it. Last year (2019) about 90 students from our school (Elementary School August Šenoa, Osijek), grades 5-8, participated in the EU Code Week. The students made their own chatbots and love calculators in the programming language Python and created virtual worlds which they later explored with VR glasses.

A group of 8th grade students developed an application in Python, which we called the Love Calculator. It is an activity you should definitely try out. The application allows the entry of a two names and after clicking on the button, the “love percentage” is displayed on the screen. 

Students first created their own backgrounds and pictures for the application. There are a lot of drawing tools available online, such as https://sketch.io/sketchpad. Making their own graphic materials is much more interesting to students than just downloading finished drawings from the internet. After creating the drawings, students learned how to use Python’s module Tkinter to create a basic graphic window. This was in a way the design - they had to determine the background picture or colour, set the fields for entry of text and buttons, choose colours and fonts for their application etc. When they were satisfied with the visual look of the application, they started the coding.

The main part of the programme was comprised of writing two programming functions - one which generated a random number (the so-called love percentage) and another, which checked the entry of the user into the text field and displayed the love percentage to the screen. This was the more challenging part. Students had to think about the way in which the programme functions, to create a good algorithm and write it all down in Python.

We can find plenty of these kinds of programmes online, in the form of calculators or quizzes which in fact only give a random number, text or percentage as a result. Students have seen various programmes on the internet which function in a similar way, and by creating such a programme they realised how such programmes function. Through this project they learned that online love calculators have nothing to do with love, but that behind them there exists a good algorithm in a certain programme language, and that the love percentage is nothing else but a randomly generated number. The students had great fun working on this project, but also learned that they shouldn’t trust everything they see online. This activity also motivated them to actively create digital content, develop their computational thinking skills and learn the ways in which technology functions, instead of being passive users of technology.

This simple project is intended for students who already have a basic experience in programming. The whole project can be found here. For the design of the project students can use an online Python editor like repl.it , which works well with the Tkinter module, or they can work locally on their computers. Tkinter is part of the standard Python library and it is not necessary to install it separately if Python is already installed on your computer.

We hope you will try it out for yourself and you will enjoy the activity as well!