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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...

How I hate it when the interface takes a lot of time, but it could be different… 

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.

Search your own data like in google search engine.

In this article I will talk about my attempt to create flexible, compact and beautiful modular prototyping framework

In this article, I want to describe my experience of paying off technical debt on our project in the form of a guide. In this guide, I will highlight some of the most common cases of technical debt and suggest methods for solving them. Since this is a rather extensive topic, I will recommend several books for study, because I do not see it possible to talk about everything within the framework of this article. Everything described applies to the BackEnd part, but it may be suitable for other developers. I would be glad if you share your experience on this topic in the comments.

Image Credit: amazonspreview.com

Cricket in India is more than just a game and for most of it is a matter of pride and unity. As we all have grown up playing cricket and everyone knows all about its rules and techniques that are quite interesting. Over the last few years, the Indian premier league is the latest and most renowned version of cricket that has 20 overs. Within a short span of time, it has become one of the best sports traditions in India. 

Day by day the fanbase of IPL is increasing and there are many IPL live streaming cricket apps, where you can enjoy IPL matches. 

In this article, we will count everything you should know about IPL 2023. 

IPL 2023

The IPL is a professional T20 cricket league in India that was first begun in 2007 by the Board of control for cricket in India, and in 2023, it will be the 16th season of the premier league. Basically, it is contested by ten teams and annually it is held in summer across India between March to May. 

So, here is the team of IPL 2023.

IPL 2023 Teams 

Here is the list of the total teams of IPL 2023 and its players. 

High Dynamic Range (HDR) allows for a wider range of colours and brightness levels. This technology works on displays that support HDR format. Nowadays web advantage of display gamuts such as Display P3 and Rec. 2020, which can display a much larger color space than traditional sRGB displays. It is 50% more colours.

CSS is ready to fix it (at least for Apple users). Find colour gamuts comparison, code examples and device support overview below.