Predicting Basketball Results Using Python and Docker

Introduction

We’re going to build a basic predictive model in Python which calculates the winning probabilities between two teams in a basketball match. In order to verify its accuracy, we’ll be comparing the model’s output to actual bookmaker odds. This model is going to be a simple REST API which runs inside a Docker container (I mean, it _is _2020 after all).

Just in case you don’t already know, here’s an overview of the tech stack for this project, not at all nicked from Wikipedia:

Python is an interpreted, high-level, general-purpose programming language. It’s designed to be easy to read and simple to implement.

**Docker **is a set of platform as a service (PaaS) products that uses OS-level virtualization to deliver software in packages called containers.

Docker Setup

Having the Docker engine on your machine is a prerequisite for this project, so if you haven’t already done so you’ll have to install and setup Docker on your machine. The instructions will be slightly different depending on which operating system you’re running on, so do give the documentation a good read when going through the install and setup.

Once you’re done with the process, open your terminal and type

docker --version

and if it returns something other than your Docker version, well… you’ll have to go through the setup process again because something probably went wrong.

After Docker is installed, you’ll want to create your working directory. I’ve called mine ‘python-basketball’ but of course you can call it anything you want. Now in order for Docker to work, we need to create two files in this directory: a Dockerfile (note there is no file extension at the end) and docker-compose.yml file. I won’t go into too much detail on what these are, but essentially a Dockerfile is a simple text file that contains the commands a user could call to assemble an image whereas Docker Compose is a tool for defining and running multi-container Docker applications.

#docker #sports-betting #python

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Predicting Basketball Results Using Python and Docker
Connor Mills

Connor Mills

1659063683

HTML, CSS & JavaScript Project: Build Cocktail App

In this tutorial, we will learn how to create a cocktail app with HTML, CSS and Javascript.

Create a cocktail app where the user can search a cocktail of choice and the app displays the ingredients and instructions to make the cocktail. We use 'The Cocktail DB' API to fetch information required for our app.

Project Folder Structure:

Before we start coding let us take look at the project folder structure. We create a project folder called – ‘Cocktail App’. Inside this folder, we have three files. These files are index.html, style.css and script.js.

HTML:

We start with the HTML code. First, copy the code below and paste it into your HTML document.

<!DOCTYPE html>
<html lang="en">
  <head>
    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
    <title>Cocktail App</title>
    <!-- Google Font -->
    <link
      href="https://fonts.googleapis.com/css2?family=Poppins:wght@400;600&display=swap"
      rel="stylesheet"
    />
    <!-- Stylesheet -->
    <link rel="stylesheet" href="style.css" />
  </head>
  <body>
    <div class="container">
      <div class="search-container">
        <input
          type="text"
          placeholder="Type a cocktail name..."
          id="user-inp"
          value="margarita"
        />
        <button id="search-btn">Search</button>
      </div>
      <div id="result"></div>
    </div>
    <!-- Script -->
    <script src="script.js"></script>
  </body>
</html>

CSS:

Next, we style this app using CSS. For this copy, the code provided to you below and paste it into your stylesheet.

* {
  padding: 0;
  margin: 0;
  box-sizing: border-box;
  font-family: "Poppins", sans-serif;
}
body {
  height: 100vh;
  background: linear-gradient(#5372f0 50%, #000000 50%);
}
.container {
  position: absolute;
  transform: translate(-50%, -50%);
  top: 50%;
  left: 50%;
  width: 90vw;
  max-width: 37.5em;
  background-color: #ffffff;
  padding: 1.8em;
  border-radius: 0.6em;
  box-shadow: 0 1em 3em rgba(2, 9, 38, 0.25);
}
.search-container {
  display: grid;
  grid-template-columns: 9fr 3fr;
  gap: 1em;
  margin-bottom: 1.2em;
}
.search-container input {
  font-size: 1em;
  padding: 0.6em 0.3em;
  border: none;
  outline: none;
  color: #1f194c;
  border-bottom: 1.5px solid #1f194c;
}
.search-container input:focus {
  border-color: #5372f0;
}
.search-container button {
  font-size: 1em;
  border-radius: 2em;
  background-color: #5372f0;
  border: none;
  outline: none;
  color: #ffffff;
  cursor: pointer;
}
#result {
  color: #575a7b;
  line-height: 2em;
}
#result img {
  display: block;
  max-width: 12.5em;
  margin: auto;
}
#result h2 {
  font-size: 1.25em;
  margin: 0.8em 0 1.6em 0;
  text-align: center;
  text-transform: uppercase;
  font-weight: 600;
  letter-spacing: 0.05em;
  color: #1f194c;
  position: relative;
}
#result h2:before {
  content: "";
  position: absolute;
  width: 15%;
  height: 3px;
  background-color: #5372f0;
  left: 42.5%;
  bottom: -0.3em;
}
#result h3 {
  font-size: 1.1em;
  font-weight: 600;
  margin-bottom: 0.2em;
  color: #1f194c;
}
#result ul {
  margin-bottom: 1em;
  margin-left: 1.8em;
  display: grid;
  grid-template-columns: auto auto;
}
#result li {
  margin-bottom: 0.3em;
}
#result p {
  text-align: justify;
  font-weight: 400;
  font-size: 0.95em;
}
.msg {
  text-align: center;
}
@media screen and (max-width: 600px) {
  .container {
    font-size: 14px;
  }
}

Javascript:

Lastly, we implement the functionality using Javascript. Now copy the code below and paste it into your script file.

let result = document.getElementById("result");
let searchBtn = document.getElementById("search-btn");
let url = "https://thecocktaildb.com/api/json/v1/1/search.php?s=";
let getInfo = () => {
  let userInp = document.getElementById("user-inp").value;
  if (userInp.length == 0) {
    result.innerHTML = `<h3 class="msg">The input field cannot be empty</h3>`;
  } else {
    fetch(url + userInp)
      .then((response) => response.json())
      .then((data) => {
        document.getElementById("user-inp").value = "";
        console.log(data);
        console.log(data.drinks[0]);
        let myDrink = data.drinks[0];
        console.log(myDrink.strDrink);
        console.log(myDrink.strDrinkThumb);
        console.log(myDrink.strInstructions);
        let count = 1;
        let ingredients = [];
        for (let i in myDrink) {
          let ingredient = "";
          let measure = "";
          if (i.startsWith("strIngredient") && myDrink[i]) {
            ingredient = myDrink[i];
            if (myDrink[`strMeasure` + count]) {
              measure = myDrink[`strMeasure` + count];
            } else {
              measure = "";
            }
            count += 1;
            ingredients.push(`${measure} ${ingredient}`);
          }
        }
        console.log(ingredients);
        result.innerHTML = `
      <img src=${myDrink.strDrinkThumb}>
      <h2>${myDrink.strDrink}</h2>
      <h3>Ingredients:</h3>
      <ul class="ingredients"></ul>
      <h3>Instructions:</h3>
      <p>${myDrink.strInstructions}</p>
      `;
        let ingredientsCon = document.querySelector(".ingredients");
        ingredients.forEach((item) => {
          let listItem = document.createElement("li");
          listItem.innerText = item;
          ingredientsCon.appendChild(listItem);
        });
      })
      .catch(() => {
        result.innerHTML = `<h3 class="msg">Please enter a valid input</h3>`;
      });
  }
};
window.addEventListener("load", getInfo);
searchBtn.addEventListener("click", getInfo);

📁 Download Source Code:  https://www.codingartistweb.com

#html #css #javascript 

Ray  Patel

Ray Patel

1619510796

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

Shardul Bhatt

Shardul Bhatt

1626775355

Why use Python for Software Development

No programming language is pretty much as diverse as Python. It enables building cutting edge applications effortlessly. Developers are as yet investigating the full capability of end-to-end Python development services in various areas. 

By areas, we mean FinTech, HealthTech, InsureTech, Cybersecurity, and that's just the beginning. These are New Economy areas, and Python has the ability to serve every one of them. The vast majority of them require massive computational abilities. Python's code is dynamic and powerful - equipped for taking care of the heavy traffic and substantial algorithmic capacities. 

Programming advancement is multidimensional today. Endeavor programming requires an intelligent application with AI and ML capacities. Shopper based applications require information examination to convey a superior client experience. Netflix, Trello, and Amazon are genuine instances of such applications. Python assists with building them effortlessly. 

5 Reasons to Utilize Python for Programming Web Apps 

Python can do such numerous things that developers can't discover enough reasons to admire it. Python application development isn't restricted to web and enterprise applications. It is exceptionally adaptable and superb for a wide range of uses.

Robust frameworks 

Python is known for its tools and frameworks. There's a structure for everything. Django is helpful for building web applications, venture applications, logical applications, and mathematical processing. Flask is another web improvement framework with no conditions. 

Web2Py, CherryPy, and Falcon offer incredible capabilities to customize Python development services. A large portion of them are open-source frameworks that allow quick turn of events. 

Simple to read and compose 

Python has an improved sentence structure - one that is like the English language. New engineers for Python can undoubtedly understand where they stand in the development process. The simplicity of composing allows quick application building. 

The motivation behind building Python, as said by its maker Guido Van Rossum, was to empower even beginner engineers to comprehend the programming language. The simple coding likewise permits developers to roll out speedy improvements without getting confused by pointless subtleties. 

Utilized by the best 

Alright - Python isn't simply one more programming language. It should have something, which is the reason the business giants use it. Furthermore, that too for different purposes. Developers at Google use Python to assemble framework organization systems, parallel information pusher, code audit, testing and QA, and substantially more. Netflix utilizes Python web development services for its recommendation algorithm and media player. 

Massive community support 

Python has a steadily developing community that offers enormous help. From amateurs to specialists, there's everybody. There are a lot of instructional exercises, documentation, and guides accessible for Python web development solutions. 

Today, numerous universities start with Python, adding to the quantity of individuals in the community. Frequently, Python designers team up on various tasks and help each other with algorithmic, utilitarian, and application critical thinking. 

Progressive applications 

Python is the greatest supporter of data science, Machine Learning, and Artificial Intelligence at any enterprise software development company. Its utilization cases in cutting edge applications are the most compelling motivation for its prosperity. Python is the second most well known tool after R for data analytics.

The simplicity of getting sorted out, overseeing, and visualizing information through unique libraries makes it ideal for data based applications. TensorFlow for neural networks and OpenCV for computer vision are two of Python's most well known use cases for Machine learning applications.

Summary

Thinking about the advances in programming and innovation, Python is a YES for an assorted scope of utilizations. Game development, web application development services, GUI advancement, ML and AI improvement, Enterprise and customer applications - every one of them uses Python to its full potential. 

The disadvantages of Python web improvement arrangements are regularly disregarded by developers and organizations because of the advantages it gives. They focus on quality over speed and performance over blunders. That is the reason it's a good idea to utilize Python for building the applications of the future.

#python development services #python development company #python app development #python development #python in web development #python software development

How To Compare Tesla and Ford Company By Using Magic Methods in Python

Magic Methods are the special methods which gives us the ability to access built in syntactical features such as ‘<’, ‘>’, ‘==’, ‘+’ etc…

You must have worked with such methods without knowing them to be as magic methods. Magic methods can be identified with their names which start with __ and ends with __ like init, call, str etc. These methods are also called Dunder Methods, because of their name starting and ending with Double Underscore (Dunder).

Now there are a number of such special methods, which you might have come across too, in Python. We will just be taking an example of a few of them to understand how they work and how we can use them.

1. init

class AnyClass:
    def __init__():
        print("Init called on its own")
obj = AnyClass()

The first example is _init, _and as the name suggests, it is used for initializing objects. Init method is called on its own, ie. whenever an object is created for the class, the init method is called on its own.

The output of the above code will be given below. Note how we did not call the init method and it got invoked as we created an object for class AnyClass.

Init called on its own

2. add

Let’s move to some other example, add gives us the ability to access the built in syntax feature of the character +. Let’s see how,

class AnyClass:
    def __init__(self, var):
        self.some_var = var
    def __add__(self, other_obj):
        print("Calling the add method")
        return self.some_var + other_obj.some_var
obj1 = AnyClass(5)
obj2 = AnyClass(6)
obj1 + obj2

#python3 #python #python-programming #python-web-development #python-tutorials #python-top-story #python-tips #learn-python

Art  Lind

Art Lind

1602968400

Python Tricks Every Developer Should Know

Python is awesome, it’s one of the easiest languages with simple and intuitive syntax but wait, have you ever thought that there might ways to write your python code simpler?

In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.

Let’s get started

Swapping value in Python

Instead of creating a temporary variable to hold the value of the one while swapping, you can do this instead

>>> FirstName = "kalebu"
>>> LastName = "Jordan"
>>> FirstName, LastName = LastName, FirstName 
>>> print(FirstName, LastName)
('Jordan', 'kalebu')

#python #python-programming #python3 #python-tutorials #learn-python #python-tips #python-skills #python-development