React Native is a popular JavaScript library for creating mobile applications for both Android and iOS devices. One of the most useful components that you can use in React Native is a color picker. A color picker allows users to select a specific color from a range of colors. In this tutorial, we will show you how to create a color picker in React Native.
Everything that follows from this point forward input prompts, followed by ChatCGP’s responses, complete with sample code in Swift.
> Hey ChatGPT, can you make a SwiftUI registration form with name, address and city fields?
Swift 5.7: Regex. Shorthands for optional unwrapping. Unlock existentials for all protocols.
Most of the processes that people use in their work lives can be represented as some object that goes through some flow. Each flow contains many stages, in each one of them the object can be manipulated by certain group of users.
In this article I want to suggest an approaches to effectively handle such flow based systems.
The Metaverse is a futuristic concept that has been transformed into reality with ongoing advancements in technology. The term Metaverse was first coined in 1992 in the Sci-fi Novel “Snow Crash'' by Neal Stephenson. However, ever since Facebook rebranded itself as Meta in 2021, it has become a trending buzzword in today’s technological space. Ever since then, various renowned companies including Microsoft, Nike, Adidas, Roblox, and more have invested millions in this concept. Although the Metaverse for business is still in its initial phase, it holds the potential to revolutionalise various industries from gaming to real estate.
The Metaverse is an amalgamation of various advanced technologies like AR/VR, AI, 3D reconstruction, and more. It aims to create a virtual universe where users can interact with each other and carry out various types of daily chores including working, shopping, travelling, etc.
This article will focus on the various ways that will tell you how to enter the Metaverse and make profits. So without further delay, let’s get started.
I just started to learn Game Development, and decided to run write my personal blog about it. So there you can find information(resources, blogs, courses, books) that i've gathered and my personal problems with learning)
In this article, we will briefly review a technology that underlies ChatGPT — embeddings. Also we’ll write a simple intelligent search in a codebase of a project.
[Image Credit: dunkest.com]
Are you looking for the best NBA fantasy apps in 2023? If yes, then you have landed on the right article. As we all know, in recent years fantasy sports like the fantasy NBA have really grown in terms of audience and more people are showing their interest in it. Players are very excited to use the best NBA fantasy app.
For a basketball fan, the NBA season is the best time of the year, and fantasy sports app development have become the latest trend where you can create your own team and can compete with real-time teams. It offers you not only fun but also offers you an opportunity to make money.
Let's know about the fantasy basketball league.
What is a Fantasy Basketball League?
Basketball fantasy leagues are a popular medium for millions of fans where they play their popular online NBA sports every year. Such a platform allows you to create your own team, play alongside your featured team, watch live highlights, draft your lineup, and many more. Here you can choose the top world of the world and can make your fantasy team in order to compete with a real team in an online fantasy basketball platform. Using this kind of platform, fans are able to create private leagues with their friends, view the latest scores, analysis, lineups, and trades, and configure rules.
Now, Let's know about the popular NBA fantasy app.
Top NBA Fantasy Apps in 2023
Players are highly fascinated by NBA fantasy sports, and day by day the number of players is increasing. There are various platforms where you can enjoy the NBA fantasy app but choosing the right platform may be a tedious task. So, for your help, we have prepared a list of the best NBA fantasy app for both Android and iOS.
I will continue the story "How to put the whole world into a regular laptop: PostgreSQL and OpenStreetMap" with secrets about OpenStreetMap geodata, on which many companies have built their business, but not everyone shares the details... Well, today we will open crucial details.
The OSM database in PosgreSQL after loading from the dump takes up more than 587 GB. This is already a large database by the standards of a DBMS, and one huge table for each type of object will not work. For manageability, such data must be partitioned, it's good that PostgreSQL supports declarative data partitioning. It remains only to figure out how to split geographical data. After searching and comparing, the H3 hierarchical hexagonal geospatial indexing system came to rescue. All this was implemented in my openstreetmap_h3 project for fast processing and loading of the world dump into the PostGIS database.
I considered following options from geopartitioning systems...
In a previous article, I described the logic of the project to search for personal information by tagging, but that was for the web version.
Searching for files on a PC is a bit different and I would like to touch on this topic.
Command-line interfaces (CLI) are a common way to use applications. In iOS, we usually use scripting languages like Bash or Ruby to build those CLIs and automate mundane tasks. The most popular CLI for app signing and build automation is, without a doubt, Fastlane, which was initially written in Ruby. Fastlane is a great tool, convenient and fairly easy to use, and a lot of effort came into building it.
However, there's a great chance you considered moving away from Fastlane to avoid learning Ruby and to lower the entry threshold for your developers. Setting up a Ruby environment could be quite tedious and require additional devs' expertise to write and support those scripts.
Explore how to build your own command line tools with Swift in this article.
In this article, I will introduce NoSQL concepts and show how they are related to Elasticsearch, and we will consider this search engine as a NoSQL document store.
When a person used to say that he controls the whole world, he was usually placed in the next room with Napoleon Bonaparte. I hope that these times are in the past and everyone can analyze the geodata of the entire Earth and get answers to their global questions in minutes and seconds. I published Openstreetmap_h3 - my project, which allows you to perform geoanalytics on data from OpenStreetMap in PostGIS or in any query engine that can work with Apache Arrow / Parquet.
First of all, I say hello to the haters and skeptics. What I developed is really unique and solves the problem of transforming and analyzing geodata using the usual and familiar tools available to every analyst and data science specialist without bigdata, GPGPU, FPGA. What looks easy to use and code now is my personal project where I have invested my vacations, weekends, sleepless nights and a lot of personal time over the past 3 years. Maybe I will share the background of the project and the rake that I went through, but first I will still describe the end result.
Today I will discover America to you based on OpenStreetMap data in PostgreSQL15/PostGIS and my project openstreetmap_h3. Let's run the query and compare its execution time on the Citus column store in PostgreSQL and on the standard 100GB database partitioned by H3 geoindex.
We will find the top15 buildable locations in North America and the total length of roads, as well as their type and surface. I will not overload the publication with program logs, let's focus on the data! You can easily repeat all requests yourself on your laptop/computer.
Do you need to produce satellite interferometry results for your work or study? Or should you find the way to process terabytes of radar data on your common laptop? Maybe you aren't confident about the installation and usage of the required software. Fortunately, there is the next generation of satellite interferometry products available for you. Beginners can build the results easily and advanced users might work on huge datasets. Open Source software PyGMTSAR is available on GitHub for developers and on DockerHub for advanced users and on Google Colab for everyone. This is the cloud-ready product, and it works the same as do you run it locally on your old laptop as on powerful cloud servers.
Not so long ago, a good friend of mine suggested that I could make a mobile application that could allow him, as well as other less experienced football scouts, to be able to collect and store analytical information on football players, to provide reports to clubs or agencies and also to communicate with more advanced scouts.
How can it be useful?
At the moment, there is no analogue to similar applications in the Russian segment. This is because there is no great need for it. Clubs don't want to spend money on it, and agencies don't have such resources. Moreover, the implementation takes too much time. And scouts are used to working according to their own schemes and storing information in notebooks and so on. However, it does not mean that such an application cannot be useful for young scouts. It would teach you how to make reports correctly, focus on the data that football clubs and agencies are interested in, and would also allow you to select those scouts who would have potential.
By that time, I had already worked enough in mobile development to make such an application. However, the right approach for the implementation was required, in order to understand what this product should represent as a result, and also design.
By a lucky coincidence, the last question disappeared by itself because my friend's girlfriend was just finishing her design studies at Yekaterinburg University, so her graduation project became our design.
This is a translation of my article in Russian
In this article, I want to write about my experience of interacting with the LeetCode platform, and describe my preparation for an interview in FAANG similar companies by breaking it down into levels.
The whole article is written based on my experience, the numbers are very rough, I do not pretend to be objective, perhaps there are best practices on how to solve LeetCode problems, it would be cool if you share your experience in the comments.
This year we conducted a survey of 78 purchasing managers from Forbes Global 2000 companies based in Vancouver, BC. Last year, Covid restrictions were eased, agency employees partially returned to their offices. This year has become a real challenge for agencies' CEOs, they had to find compromises with employees who did not want to return to the office, and at the same time manage projects at the same efficient level. Clutch is not the platform market can trust anymore because of the paid placements (sponsors and featured) that can cover up to 50 first positions in some cases. So we asked procurement managers in Vancouver to rate their digital marketing agencies from 0 to 10 based on the following criteria:
This is a series of articles dedicated to the optimal choice between different systems on a real project or an architectural interview.
At work or at a System Design interview, you often have to choose the best message broker. I plunged into this issue and will tell you what and why. What is better in each case, what are the advantages and disadvantages of these systems, and which one to choose, I will show with several examples.
