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03 May

7 Mobile App Testing Ideas That Will Speed Up Your Releases.

geekycodesco0 CommentsGuest Blogs, Real Life ExamplesMobile App Development, Programming, Python

When it comes to apps, it's not just about the app itself. You need a platform that enables you to deliver an app that will delight your users and bring in revenue. Adhering to best practices is essential even if you're a one-person shop, so you can avoid any mishaps on launch day. Here are 7 mobile app testing ideas for your next release that will help smooth out every step of the process. 1. Automated App Testing One of the quickest and easiest ways to speed up your mobile app releases is to use automated testing tools. These tools…

31 Mar

How to Build an Educational App?

geekycodesco0 CommentsBlog, Real Life ExamplesBuild Your Own EdTech App, C Programming, Coding, education app developers, education app development companies, google apps education account, How to Build an Educational App, Programming, What Are Educational App Ideas, what are google apps for education, What Technologies Can You Use

Are you a startup entrepreneur that is seeking the best idea to develop a mobile app? Nowadays, there are lots of ideas available to find a business and run it successfully. Do you know some EdTech giants like BYJU's? This type of mobile app development is in trend. So, if you have a smart EdTech idea for your unique mobile application, this Educational App Development Guide is for you. In this tutorial, we will discuss how to build an educational app. However, you may be thinking if it’s the right time to enter the EdTech industry or not. So, let’s…

13 Mar

What is Digital image processing in simple terms?

geekycodesco0 CommentsBlog, Machine Learning, Real Life ExamplesDataScience, Digital Image processing, Image Processing, Machine learning, Programming, Python

Before we dive deeper into digital image processing, we need to understand what an image actually is, A digital image is a representation of a two-dimensional image as a finite set of digital values, called picture elements or pixels. Why do we process? If you what to make a cup of tea we do need to follow some processing steps, in the same way, if you have pictorial data in the form of image or video generated by a device or sensor cameras. And then you want to make something else as per your requirement as examples beautify, compress, crop, sharpen, enlarge,…

10 Mar

Create a digital clock using Python-Turtle

geekycodesco0 CommentsPython, Real Life ExamplesC Programming, Coding, Digital Clock, Digital Clock in python, Graphics with Python, Programming, Python, Turtle

Prerequisites: Turtle in programming Python. Turtle is a special feature of Python. Using Turtle, we can easily draw on a drawing board. First, we import the turtle module. Then create a window, next we create a turtle object and using the turtle methods we can draw on the drawing board. In this blog we'll be creating a digital clock using turtle and python. Installation: To install this module type the below command in the terminal. pip install turtle Note: To create a clock we will use the ‘time’ and ‘DateTime’ module of Python also, To install time use the following command:…

01 Mar

How to create a voice recorder in Python

geekycodesco0 CommentsPython, Real Life ExamplesCoding, Dataframe, Machine learning, Programming, Python, Voice recorder

Python can be used to perform a variety of tasks. One of them is creating a voice recorder. We can use python’s sounddevice module to record and play audio. This module along with the wavio or the scipy module provides the way to save recorded audio. Installation sounddevice: This module provides functions to play and record NumPy arrays containing audio signals. Let’s install it by running the following command: $ pip3 install sounddevice We can use either wavio and scipy to save the recorded audio in file format. We will see both of them here.To install wavio: $ pip3 install wavio To install scipy: $ pip3 install scipy Now, we are done with installing the…

26 Feb

How to create Movie Recommendation System

geekycodesco0 CommentsData Science, Decision Tree, Machine Learning, Pandas, Python, Random Forest, Real Life ExamplesDataScience, Machine learning, Movie Recommendation, Movie Recommendation System, Programming, Python, Random Forest

In this notebook, I will try to use a few recommendation algorithms (content-based, popular-based and shared filters) and try to build a collection of these models to come up with our final movie recommendation system. For us, we have two MovieLens data sets. Full Data Set: Contains 26,000,000 ratings and 750,000 tag requests applied to 45,000 movies by 270,000 users. Includes genome tag data with 12 million affiliate scores on 1,100 tags.Small Data Set: Includes 100,000 ratings and 1,300 tag applications applied to 9,000 movies by 700 users.I will create a Simple Recommendation using movies from the Full Database while…

20 Feb

How to Predict Movie will be Flop or Hit and it’s Revenue?

geekycodesco0 CommentsData Science, Machine Learning, Pandas, Python, Random Forest, Real Life ExamplesClassification, Coding, Dataframe, DataScience, Datasets, Linear regression, Machine learning, Programming, Python, Regression, XG Boost, XGB

The Birth of the motion picture camera in the late 18th century gave birth to the most powerful form of entertainment available: Cinema. Movies have been able to entertain audiences from the emergence of a single second of horse racing in the 1890s to the introduction of sound in the 1920s to the birth of color in the 1930s to create 3D Movies in early 2010. Cinema had a humble background in terms of design, direction and acting (especially due to its very short time in its early days) but since then, the film industry around the world has been…

19 Feb

How to create a simple movie recommendation System

geekycodesco0 CommentsData Science, Machine Learning, Pandas, Python, Real Life Examples, TutorialsCoding, Movie Recommendation, Movie Recommendation System, Programming, Python

Introduction This part of the Content Editor Internship ” “Every time I go to a movie, it's magical, no matter what the movie is about. - Steven Spielberg Everyone loves movies regardless of age, gender, race, color, or location. We are all in some way connected to each other in this amazing way. But most interesting is the fact that our choices and combinations are different in terms of our preferences. Some people like movies that are specific to the genre, be it entertaining, romantic, or sci-fi, while others focus on the main characters and directors. Considering all of that,…

17 Feb

How to collect Covid19 Data using API in Python

geekycodesco0 CommentsData Engineering, Data Pipelines, Pandas, Python, Real Life ExamplesData Collection, Data Engineering, data pipelines, Dataframe, DataScience, Machine learning, Programming, Python

In this tutorial, we will be collecting covid19 Data using API in Python. What is API? API (Application Programming Interface) is a computing interface that interacts between multiple software. What is JSON? JSON (JavaScript Object Notation) is a lightweight format for storing and transporting data. It is used to send data from server to web. Required modules: matplotlibrequestspandasjson Commands to install modules: pip install matplotlib pip install requests pip install pandas Ignore this section if you've already installed these modules. Steps: Importing all required modules.Calling API and getting JSON data.Getting the Data for a particular stateVisualization of data. The below URL redirects…

16 Feb

How to Extract current Temperature of any city using OpenWeatherMap API in Python

geekycodesco0 CommentsBlog, Data Engineering, Data Pipelines, Python, Real Life ExamplesCoding, DataScience, How to Extract current weather of any city using OpenWeatherMap API in Python, Programming, Python, Temperature Extraction, Weather API

In this tutorial, we will find the city's weather using the OpenWeatherMap API. To use the OpenWeatherMap API, we need to get the API key. We will get it by creating an account on their website. Create an account and get your API key. Free up to 60 calls per minute. You have to pay if you want more than that. In this tutorial, the free version is enough. We need an HTTP application module and a JSON module to work with feedback. Follow the steps below in the weather for any city. Submit JSON applications and modules.Generate a basic…