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In this article, I will delve into whether artificial intelligence (AI), particularly the emergence of tools like generative AI (GenAI), will replace classical software outsourcing as we know it.

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When looking at the world of business and data, learning data science cannot be overemphasized. It’s a field that has dramatically changed the way businesses operate. We are in an era of big data and to succeed, companies need data-driven insights to drive decisions. But data science isn’t just about programming and algorithms, it’s also about understanding the data being analyzed. And that’s where datasets come into play. They are crucial for anyone wanting to learn data science. Below is an infographic to indicate the Big Data: Interlude Disclaimer: I am a Data Engineer and not a Data Scientist. My work does mean that I understand what a Data Scientist does and can expect from a Data Engineer. Let me explore how these two fields relate to each other using ’s . I borrowed the red areas in the image from and adapted them to my own situation. Monica Rogati The Data Science Hierarchy Of Needs Christopher Bolard I deal, in my specific case, with the things in the red area with Data Engineer behind it. The Data Scientist/Analyst is concerned with the red area above. I’ll write an article about the how and what of me being a Data Engineer soon. In other cases, you will find that the Data Scientist/Analyst is also involved in the Explore/Transform section in the image. See the article: . Data Engineer VS Data Scientist DATASETS Datasets are collections of (semi-)structured data specially composed for analysis and appear in various forms, such as spreadsheets, CSV files, JSON files and databases. Datasets are essential for data science. They enable you to work with real-world data and gain insights that would otherwise be impossible to discover. Learning data science with datasets is therefore essential because it gives you the necessary skills to turn data into actionable insights. This is something I did at an , to understand the: database. earlier stage I amsterdam City Card Advantages One of the benefits of using datasets in data science is that they provide a real-world context for analysis. Unlike simulated data, datasets are based on real scenarios and are therefore more representative of the issues facing businesses. This means you can learn how to apply analysis techniques to real-world problems. This way you can develop solutions that are relevant and applicable. Another benefit of learning data science with datasets is that it helps you develop a data-driven mindset. Datasets provide an opportunity to understand the nuances of data, such as data quality issues and data bias. These are important considerations because they can have a significant impact on the insights generated from data. By working with datasets, you learn to identify these issues, which is critical for decision-making. In addition, datasets provide a basis for collaboration and knowledge sharing. In the world of data science, people often work together on the same problems and data sets provide a common basis for collaboration. They also allow you to share your insights with others, which can lead to new discoveries and breakthroughs. Competitions & Datasets Below is an overview of the competitions and datasets that I found: DrivenData SIGKDD Innocentive Topcoder Analytics Vidhya Codalab Numerai Open Data Science AIcrowd Biendata OpenML Devpost CrowdANALYTIX Kaggle ML Collective IDAO Machine Hack Grand Challenge Zindi Datasource.ai TuneDit Bitgrit ML Contests Data Register van de Nederlandse Overheid DBNL Dataset PDOK Open Data Rijksoverheid CBS Open data Statline OpenDataNederland.org Our World In Data Open Datasets compiled by Hackernoon Google Finance Google Public Data Google Trends KNMI Dataplatform Planetary Computer Data.gov.be Earthdata (NASA) IGSR: The International Genome Sample Resource PEW Research Center Conclusion In short, learning data science with datasets is essential for anyone who wants to develop the necessary skills to turn raw data into actionable insights. Datasets provide a real-world context for analysis, help you develop a data-driven mindset, and promote collaboration and knowledge sharing. As data continues to play a critical role in business operations, learning data science with datasets is no longer an option but a necessity. By investing in data science education, companies can equip their workforce with the skills needed to make data-driven decisions and drive growth and success. Also published . here

Why Datasets are Crucial to Data Science: the Key to Informed Decisions

Let's learn about via these 78 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Coding Interviews /Learn Repo 1. 10 Repositories to Help You 10x Your Performance on Technical Interviews 10 repositories that will transform the way you approach technical interviews. 2. 10 JavaScript Interview Questions and Answers to Help you Land Your Next Role 10 JavaScript questions for experienced developers that can help you crack your next interview. 3. How I Train Myself For Google Internship Interview I recently got an intern offer from Google for Summer 2020. I have been practicing LeetCode problems for more than two years. Other than the LC problems, I have used the educative courses to help me prepare the coding interviews. 4. How Competitive Programming can Help with Tech Interviews We will make an effort to comprehend the significance of competitive programming (CP) and whether or not it will be useful for your technical interview. 5. Hitting Rock Bottom!! Life-long lessons from a failed interview. 6. Top LeetCode Patterns to Use for FAANG Coding Interviews Coding patterns like Sliding Window or Two Heaps enhance our “ability to map a new problem to an already known problem.” 7. How To Prepare For Your FAANG Interview Are you ready for your FAANG interview? Read on to understand how you can prepare for such interviews and what to expect when you have to answer questions. 8. The 3-Step Process to Hiring a Software Engineer For Your Startup The standard coding interview gauges coding prowess the same way an IQ test gauges intelligence. Basically, barely at all. 9. 3 Practical Tasks for Your Next React Interview Here are 3 React tasks to check your coding skills, way of thinking, and ability to create good understandable code. 10. Will ChatGPT Change Coding Interviews Forever? Sergio Pereira talks about ChatGPT and how it could affect coding interviews. 11. Implementing a Singly or Doubly Linked List in Java (A LeetCode Question) Design your implementation of the linked list. You can choose to use a singly or doubly linked list. 12. Is the Grass Greener On the Tech Giants' Side? The grass isn’t always greener on the other side. Here are some things to consider before applying for a Tech Company. 13. What To Prepare For A Software Interview Both interviewees and interviewers can benefit from understanding what to prepare for a software interview and how best to learn about their counterpart. 14. Practical tasks for JavaScript interview Practical tasks like phrase reverse, event loops and using keywords are likely to be used to test you if you are applying to a job that uses Javascript. 15. How to Make a No BS Take-Home Coding Test This blog post looks at what makes a great take-home coding test and shares essential advice on how to make the most of this kind of assessment. 16. 7 Essential Tips for Competitive Programming and DSA I had to quit DSA and CP within a month because of the overwhelming exhaustion, This blog discusses mistakes that I made while learning DSA and CP. 17. Designing a Pragmatic Coding Interview [Part 1] In the following series of posts, I’ll be sharing the internals of designing a pragmatic coding interview that I got to know after interviewing folks for different tech positions for some time and here comes the first one. 18. The Big O The Big O is a way to measure how well your code solves a problem 19. 4 Most Commonly Asked Algorithms In Coding Interviews If you prefer to follow along via my YouTube video, you can watch it here! 20. Why Your Coding Portfolio Needs Libraries and Packages Building a job-ready portfolio of coding projects doesn't happen overnight, here's why you should include libraries and packages in yours. 21. Ace Your Coding Interviews with These Free Courses from Stanford Technical interviews used to be a challenge for me. I have a bachelor’s degree in Electronics & Telecommunications and a master’s degree in Computer Science. 22. Binary Search In Java: Examples And Interview Tips I recommend following along with my video if you want to see some examples and hear step by step how I coded binary search in Java! 23. The Story of How I Almost Became a Developer The story of how I almost became a developer. Featuring confusion, frustration! Triumph! Coming soon to Netfli.... just kidding. 24. How to Find the Product of All Elements in an Array Except Self - Blind 75 LeetCode How to Find the Product of All Elements in an Array Except Self? You must write an algorithm that runs in O(n) time and without using the division operation. 25. Hiring an Engineer: 7 Different Types of Engineering Interviews These are 7 Different Types of Engineering interviews that engineers may come when searching for jobs, including those used by large companies like Google. 26. Job Hunting: Are Technical Tests Worth Your Time? How to - hopefully - not drive yourself up the wall preparing and fretting over technical tests. 27. Become a 10x Software Engineer: A How-To Guide only a fraction of the 4.4 million coders makes it to FAANG companies and other tier-1 tech firms. Learn how to become one of them with these best practices 28. An Open-Source Collection of Boilerplate Repositories to Help Set Up Your Next Project The open-source templates for setting up coding projects. 29. Top 5 Interview Questions for Beginner React Developers Here are 5 common interview questions you might hear in an interview. 30. 10 Frontend Projects to Take Your Coding Skills to the Next Level Improve your front-end development skills and expand your portfolio with these 10 front-end projects. Take your coding game to the next level! 31. Why Engineers Won't Do Your Coding Test The idea behind a coding test is very simple: to filter out candidates who do not have the technical chops for the role, early on in the process before the hiring manager and candidate both waste their time with an in-person interview. 32. How to Prepare for a Coding Interview in 8 Weeks As of this writing, the market is tough. We’ve been hit hard with a deadly
pandemic that left thousands of people unemployed. It’s layoffs everywhere and the companies are being conservative when it comes to
hiring. 33. Restcaperoom is an Interactive Exercise for Programmer Interviews When you are looking to hire skilled programmers, how do you know if the person you are interviewing indeed has the capabilities he or she is talking about? Well, just let them show you! 34. Java Constructor Interview Questions Here we've listed the most commonly asked concepts on constructors in java that can help you ace your java interview. 35. Powerful Tips To Help You Learn Programming Language Here I have shared some of the tips, that my mentor gave me, on how to start learning programming which you can follow to become better programmer within a year 36. 10 GitHub Repositories to Follow GitHub is a well-known platform to share all kinds of technologies. The following article contains the 10 most widely used GitHub repositories. 37. Why Should Every Javascript Developer Avoid Using if Statements Stop using if statements unless absolutely necessary. Using if statement is a clunky way of writing code and should be avoided wherever possible. 38. How to Prepare For a Mock Interview — Daniel Habib Programming mock interviews can be time consuming and intimidating - here's how to make sure you didn't just waste your time 39. The Ultimate Guide to Software Development Job Interview Prep 40. 10 Repositories that Will Transform the Way You Approach Technical Interviews A complete computer science study plan to become a software engineer. This GitHub repo will take you from ground level to advanced concepts. 41. Technical Interview: How to Prepare, Structure, and More Tips Interviewing someone isn't as easy as it seems. Here are some tips to form the best interview,  both for you and your interviewee. 42. Demystifying Hoisting for Javascript Developers Struggled with JS hoisting in interviews? How let, var, const and function hoist differently? This article explains the concept and makes it easy to understand. 43. Convert Sorted Array to Binary Search Tree Using Kotlin at your technical interviews! 44. Everything you Need to Know About TCS Mock Test Tips to passing the TCS mock test 45. My Favorite Kind Of Coding Interview Exercise How to prepare for a job interview as a programmer looking for a job that needs coding, how these simple exercises will help you prepare fully for it. 46. What is the best line of code you've ever written? I recall going to a four-round interview and being asked "What is the best line of code you've ever written?". 47. How to Solve the Hamming Distance Problem in C++, A Google Interview Question In hamming distance problem, we find the number of positions where the bits are different for the given input with constant time complexity. 48. 5 Most Commonly Asked Data Structure Questions in Coding Interviews If you prefer to follow along via my YouTube video, you can watch it here! 49. Developer Pain Points Using React Native As you already know, our team is a huge fan of React Native and we have published a lot of articles about this technology. But as everything else in the world, React Native is not perfect and has its disadvantages as well. We asked a few senior developers about the pain points using RN. 50. 5 Useful Tips from My Amazon SDE II Interview Experience Amazon SDEII coding and system design interview experience from initial recruiter call to online assessment and onsite rounds. 51. Graduating from Leetcode Leetcode.com is a website where people–mostly software engineers–practice their coding skills. It’s pretty similar to sites like HackerRank & Topcoder which will rank your code written for a particular problem against the ones submitted by other users. 52. Running Great Tech Interviews: The Art of the Follow-up Question This article gives sample software engineering interview questions, as well as my approach to conducting efficient interviews. 53. Interview With A 10-Year Old Programmer This is a story of a young boy who is more than what he seems, a young genius man, who must share his gifts and talents with the world. 54. 17 Interesting JavaScript Tricks There are many ways to write code but generally the first way for many people is very long and can take you some time. Here is my latest post that will increase your efficiency and productivity when coding JavaScript. 55. Why Interviewing As A Developer Is Complete Nonsense Learn what a developer goes through on every job search 56. For Developers: How To Prepare for a Job Interview Last week a friend asked me about interviews, it’s a good question because in our career we passed for a lot of interviews, sometimes to get a good job, change companies or probably you will be the interviewer, today I will try to cover both points of views to manage an Interview.
Interviews 57. Why Developers Should Take Coding Challenges Regularly First of all, let me start by saying that the ability to solve coding challenges is not a measure of how good a web developer you are, but it can show that you are a great developer and make you stand out from the crowd. Nobody needs coding challenges to create an outstanding web page using HTML, CSS (or it’s frameworks), and maybe even a little JavaScript. 58. Is a Given Number the Power of 2? In this lesson, we will try to check if the given number is a power of 2. We solve this by writing an efficient algorithm that takes an optimal amount of time. 59. What I learned from 500+ tech interviews in the last 6.5 years I conducted 500+ tech interviews in the last 6.5 years. Here is what I learned. 60. Closures Demystified: Unlocking Hidden Potential in Your JavaScript Code If you have understood the discussion so far, you should feel confident in your capacity to discuss closures when asked about them during your next interview. 61. How to Crack Coding Interviews? Tips, Topics, and Skills Wondering how to prepare for coding interviews? Here is your guide to prepare and crack your next interview with important topics, skills, and tips 62. A Better Way to Pass Technical Interviews To LeetCode or not to LeetCode? What if you don't want to practice 100s of coding questions before your next coding interview? 63. 14 Patterns to Ace Any Coding Interview Question The process of preparing for coding interviews is anxiety-inducing for many developers. There’s so much material to cover, and often much of it feels irrelevant to what devs are doing in their day jobs, which only adds to the stress. 64. Diversity in Tech: 3 Actionable Steps for More-Inclusive Tech Teams Diversity in tech is needed for so many reasons: 65. 160+ Data Science Interview Questions A typical interview process for a data science position includes multiple rounds. Often, one of such rounds covers theoretical concepts, where the goal is to determine if the candidate knows the fundamentals of machine learning. 66. Stop Fearing the Whiteboard: Conquer It! It's time we stopped fearing, complaining, and arguing about whiteboard coding interviews. 67. Technical Data Science Interview Questions: SQL and Coding A data science interview consists of multiple rounds. One of such rounds involves theoretical questions, which we covered previously in 160+ Data Science Interview Questions. 68. All You Need to Know About Dynamic Programming What is dynamic programming and why should you care about it? 69. [My Learnings] From Writing My First Line of Code to a $226K Job Offer in 8 Months I got offers from Google, Lyft, Yelp, cloud unicorn Rubrik, IBM Artificial Intelligence, and JP Morgan Chase. My story may help you in your job search 70. My Terrible Experience Applying for a Job at Crossover for Work Crossover for Work advertises dozens of jobs all the time, many of them highly paid, many for senior developers and architects. Everyone works from home. 71. 50+ Data Structure and Algorithms Interview Questions for Programmers Coding interviews are comprised mainly of data structure and algorithm-based questions as well as some of the logical questions such as, How do you swap two integers without using a temporary variable? 72. Web Developer Job Interview Preparation: 25 Questions, Prompts, and Coding Assignments You’ve set the alarm for 2:45pm. 73. Dissecting the World of Cryptocurrency with Coder Anthony Watson In this Slogging AMA, we talk to Anthony Watson a writer, coder and respected member of the Hackernoon community. We discuss with him all things writing, coding 74. How to Ace Coding Interviews - Advice from a Former Amazon Dev I must have been in almost a hundred coding interviews. Sometimes as an interviewee and sometimes as an interviewer. I have struggled in front of the whiteboard and I have seen many candidates struggle. 75. The Science Behind Making Software Engineering Interviews Truly Predictive of Job Performance 76. How to Solve 6 Dynamic Programming Problems In a Systematic Way In this article, I gave you an introduction to Dynamic Programming with several examples. Here I will solve 6 harder Dynamic Programming problems to show you how to approach them. 77. 13 Ways to Traverse a Tree: Recursion vs Iteration To understand recursion, you must understand recursion. I will show you 13 different ways to traverse a tree to compare recursive and iterative implementations. This way, we will kill two birds with one stone: recursion and data structures and algorithms. 78. Data Structures and Algorithms: 20 Problem-Solving Techniques This is the article I wish I had read when I started coding. I will dive deep into 20 problem-solving techniques that you must know to excel at your next interview. Thank you for checking out the 78 most read stories about Coding Interviews on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

78 Stories To Learn About Coding Interviews

In this essay, we will make an effort to comprehend the significance of competitive programming (CP) and whether or not it will be useful for your technical interview. For those of you who don't know, competitive programming is a form of a mind sport in which you must develop an algorithm to solve a set of programming tasks under time and memory restrictions. It largely involves completing the test scenarios within the allotted time and memory, which occasionally calls for creative thinking. As an illustration, suppose there is a problem that you read, comprehend, code, debug, and then successfully submit. You could need ten minutes. Some guy on the leaderboard provided the solution in the interim in under 30 seconds. It's only that he was able to think of a straightforward suggestion for the solution. How do some programmers become so quick? He didn't have to check the dataset's accuracy across the board. He didn't require any additional clarification of the problem statement. He did not need to consider edge scenarios. He was able to develop a straightforward solution, code it, and submit it using a few straightforward, logical assumptions. In competitions, participants don't inspect your code; instead, they want you to pass every predetermined test scenario. You shouldn't worry if the competition misses a test case because sometimes for really complicated problems, all the test cases can't be expected. Nevertheless, interview questions are easier than issues in competitive programming since they use simpler algorithms and data structures. You cannot afford to make assumptions during a coding interview. Before really beginning to code a coding task that is presented to you during your interview, you should: Ask insightful questions to gain a deeper comprehension of the issue. Consider every possible edge scenario, and make sure to account for it. Be able to modify your solution to better meet the criteria. Create clear, reliable code. Coding interviews may include questions about parallel or distributed systems, which are problems that can't be solved by a single computer. Additionally, you might be asked at an interview to develop some specialized algorithms for unique situations. While this might not be the best approach for a challenging programming problem, it is ideal for the interview setting. How Competitive Programming Makes Good Computer Engineers People at the top of the competitive programming field are quite intelligent, and it helps to develop your programming skills. There is an interrelation between Computer Programming and essential life skills. Coding is important. Additionally, some of their great qualities, such as their coding and math prowess, may be overkill for some SDE positions. But not all programmers who excel in competition make successful software developers. Competitive programming does not teach you a lot of other skills; however, you are expected to acquire them on your own. The aforementioned abilities are useless in CP. You don't need to be concerned about learning these skills if your objective is to become the god of CP. But these are essential traits if you envision yourself as a software engineer. Should You Do Competitive Programming? If you are a student Your mind will become sharper, and you'll master some extremely solid computer science principles that are crucial for programming careers. After graduation, employers who interview you won't be looking for the aforementioned SDE traits. These are things you'll learn as your profession develops; it would be the icing on the cake if you could pick up a few of them. You can utilize the contents of the CP to draw in potential employers and even compete for lucrative prizes. If you are working Yes. To keep your programming skills sharp, you should at the very least practice one task each day. Your thoughts and talents aren't stretched to the necessary degree when you're working on tasks. Your ability to solve problems will diminish over time. But since you are already a professional, you shouldn't devote all of your time and abilities to competitive programming. Spend some time improving your professional skills as well. Your ability to solve problems will continue to improve with CP, and you'll gain the assurance you need to ace interviews. You can use the CP contests to win additional prizes and land your next fantastic job offer. What Are the Best Places to Practice Competitive Programming? You can train and participate in a few well-known coding contests: Top Coder Hackerrank (personal suggestion for beginners) Codeforces HackerEarth Codechef Leet Code Google Codejam Facebook hacker cup Conclusion Competitive programming is a type of online or local network game where programmers must write code that complies with predetermined rules. The term "programmers" used here is "competitive coders." Many prestigious corporations, such as Google and Facebook, sponsor competitions like Codejam and Hackercup. Successful contestants are recognized by these businesses and receive job offers from these tech behemoths. If you don't work on your data structures and algorithms basics, CP may not ensure that you'll perform well in a PS/DS round. CP may help you become a better problem solver and coder. Additionally, if you already possess adequate coding and problem-solving abilities as well as a firm grasp of DS and Algo, it is not necessary for the interview. Even yet, if you are strong at CP, it will undoubtedly help you arrive at the answer more quickly and code it more swiftly. The brief answer is, "It is not absolutely necessary, but we highly encourage you to try it and see whether you like it."

How Competitive Programming can Help with Tech Interviews

The Final Guide on Landing a Software Engineering Role at a FAANG Company

Ukraine and Russia are famous for their scientists and STEM-related higher education, while Poland has access to EU funding for tech research and innovation. The three countries are absolute leaders of Central and Eastern Europe in software development and near- and offshore tech services for Western Europe and the Americas. The Rocketech Team prepared our expert guide to IT outsourcing to Russia, Ukraine, and Poland. Key facts, statistics, and vital information – here, you will find everything you need if you are looking for a reliable tech partner. Overview is one of the most popular outsourcing destinations in Central Europe. The country’s IT services market is expected to reach over $12 billion by the end of 2021. Bloomberg rated Poland 23rd in the list of the world’s most innovative economies. According to the 2019 A.T. Kearney Global Services Location Index, the country is the 24th most attractive IT outsourcing location. And Tholons Top 100 Outsourcing Destinations ranked Poland the 9th. Poland With its thriving economy and advantageous conditions, Poland attracts investments from industry giants like Microsoft, Google, IBM, Motorola, etc. is a well-recognized gem of the Eastern European and global IT scene. The country’s export volume of IT services reached $4.5 billion in 2018. Global Outsourcing 100 by the IAOP and GSA Global Sourcing Awards are only two out of many awards received by the country and its companies. The 2019 A.T. Kearney Global Services Location Index placed Ukraine in the 20th position. Ukraine Tech industry leaders prefer having their Eastern European R&D offices in Ukraine for many reasons. Big names include Huawei, Microsoft, Wargaming, Skype, Samsung, Siemens, and eBay. Moreover, corporations like Nokia, Vodafone, Panasonic, Flixbus, Bosch, and HP chose Ukrainian software development companies to delegate part of their IT tasks. is a well-established tech outsourcing destination. According to the Russoft Association, in 2018, the country’s IT services export value amounted to $5.3 billion. Remarkably, offshore software development services take up nearly 0.5% of all Russia’s export. The 2019 A.T. Kearney Global Services Location Index ranked the country 18th in the location assessment. Russia Russia has become an R&D hub for Motorola, Siemens, and Intel, among other large companies. Besides, Danone, Starbucks, and Tele2 chose Russian specialists for outsourcing parts of their software development processes. Talent Pool and Expertise There are much deeper reasons behind the decision to delegate the tech tasks to a third-party company than just cutting down the software development cost. Gartner’s survey reveals the tech talent shortage as the most significant barrier preventing the adoption of new technologies. The lack of young specialists in the Western labor markets is another reason for efficient outsourcing to the East. Central and Eastern European coders regularly win various programming contests and rank their countries high by reputable international sources. For example, the three countries made it to the top-10 list according to Topcoder. The latest HackerRank listing has Russia and Poland in the 2nd and 3rd places, respectively. According to Statista, the most popular and in-demand programming languages in Poland in 2021 are JavaScript, Java, and Python. The IT Ukraine Association reported the same three languages as top tools for Ukrainian coders. Russian programmers voted for the same languages but in a different order – JavaScript, Python, and Java. These three languages are among the most in-demand programming tools worldwide, according to TIOBE Index and Stack Overflow Developer Survey. Moreover, HackerRank named countries with the best developers by domain. Here, Russia got acknowledged in eight domains out of fifteen: algorithms, Java, data structures, C++, Python, SQL, AI, and functional programming. Ukrainian professionals turned out to be among the best in mathematics, distributed systems, and security. And Poland was marked for algorithms, Java, tutorials, Python, Shell, and Ruby. Average Salaries and Rates There are various ways to estimate the average earnings of a professional. The salary depends on a set of factors, including years of experience, education level, and location. In most cases, residents of bigger cities and capitals expect to have higher paychecks. According to Arc, the average developer salary in Ukraine amounts to nearly $60K annually, and in Russia and Poland, specialists get $63K and $71K per year, respectively. The same level professionals in the US would expect $97K on average. However, the annual rates imply in-house positions with benefits like paid vacations, sick leaves, and bonuses. Our experts analyzed multiple data channels and platforms for freelancers’ communities to outline the average rates for offshore specialists in software development in Poland, Ukraine, and Russia. Average Rates per Hour Remote employees’ rates are mostly lower on average as companies that choose this working model, exclude expenses for large enough office rooms and extra perks from their budgets. Freelancers’ rates are affected by the situation on the market or dumping and can vary. Tech Hubs Local talents open for tech partnership are not centered only in capital cities anymore. Stable development of the Eastern European region provides its residents with more opportunities.  Thus, Moscow, St. Petersburg, and Novosibirsk are Russia’s leading and most influential tech hubs. They take up to 70% of the country’s IT services market and host most tech companies. Other important cities include Nizhny Novgorod, Kazan, Krasnoyarsk, and Tomsk. Ukraine’s top IT outsourcing hubs are Kyiv, Lviv, Odesa, Kharkiv, and Dnipro. While Kyiv is the capital city and the country’s administrative and scientific center, Lviv became a home for 317 IT companies (with 90% outsourcing services), and Kharkiv has up to 65% of all IT exports directed to the US. Poland’s major IT outsourcing hubs are Warsaw, Wroclaw, Krakow, Poznan, Katowice, and Tri-City (the metropolitan area combining Gdansk, Sopot, and Gdynia). The EU membership has a number of advantages like access to European funding, stable economic growth, and freedom of movement for local workers. However, hiring developers from Poland may be more expensive due to higher expenses and cost of living. Time Zones Education Higher education is still a must-have requirement for tech-related jobs in Central and Eastern Europe. Russian and Ukrainian culture is positively affected by the post-Soviet legacy of a classic education model. And universities in Poland offer plenty of programs in English. Education Key Facts Poland 43% of Polish citizens aged 25 – 34 have university degrees (the National Science Board's Science & Engineering Indicators 2018 report). In the academic year 2018/2019, there were 74,000 IT students (Central Statistical Office in Poland). Leading technical institutions: Warsaw University of Technology, Jagiellonian University, Gdansk University of Technology, and the University of Silesia in Katowice. Poland was ranked 11th in the global EF English Proficiency Index 2019. Ukraine 81% of the Ukrainian IT specialists have an intermediate+ level of English proficiency (DOU survey). 41% of females and 64% of males hold STEM-related degrees (DOU). Leading technical institutions: National Technical University of Ukraine Kyiv Polytechnic Institute, Taras Shevchenko National University of Kyiv, Lviv Polytechnic National University, and the Kharkiv National University of Radioelectronics. Russia The Russian Federation has one of the highest tertiary education rates across OECD countries – 63% of 25-34 year-olds (OECD). 35% of bachelor’s level students are enrolled in STEM-related programs (OECD). There are 741 universities in Russia, including 29 national research universities. Leading technical institutions: Bauman Moscow State Technical University, Moscow State University, Saint Petersburg State University, Tomsk Polytechnic University, Novosibirsk State University. Final Thoughts Central and Eastern European countries are popular destinations for IT outsourcing for many reasons. The region is famous for its education, tech specialists, and professional level. Thousands of Western businesses choose Poland, Ukraine, and Russia when looking for cost-effective, yet high-quality IT services. This research was prepared by to provide you with factual information about the IT outsourcing potential in the three counties. As our Team consists mainly of developers from Ukraine, partnering with us provides our Clients with a great advantage of working with the best talents from the region. ROCKETECH If your business needs a reliable tech partner working with highly skilled professionals in mobile development, our managers would love to hear your ideas. Contact us today!

Poland vs. Ukraine vs. Russia: Popular Eastern European Outsourcing Destinations Compared

Once we have learned the basics of a certain programming language, the next thing is how we want to apply them in practice to be able to understand and remember for longer. So in today's article, I will introduce the challenge of coding websites to developers. The purpose of these websites is to help you test to what extent your programming prowess is by solving problems low to high. Not only that, but there you also have to compete with other developers to achieve higher rankings. Just like playing games, we have to go from low rankings like copper, silver to gold, platinum... Hopefully these websites will be the place to help you increase your interest in programming. 1. Exercism This Practice website is home to thousands of exercises that you can practice in over 50 supported programming languages. Its exercises are also varied for beginners or those with a lot of programming experience. It is open-source and based on donations from developers around the world so you can rest assured that it won't be charged. In addition, if you feel you are capable, you can also contribute helpful exercises to the community that will improve your programming skills and others. Visit it here 2. CodeWars The CodeWars website is where you tackle every problem from easy to hard to get higher rankings. On this site, the ranking will be calculated according to the points called kyu, and depending on the level of the problem you solve, the score will be high or low. After finding a method for a problem, you can look at other people's answers to compare how the code is written and how effective it is. Visit it here 3. CodeChef CodeChef website is known as a non-profit educational organization founded by Direct, an Indian software company. You can immediately resolve the issue on their website through their online editor support tool. And depending on your level, choose the challenges listed on the website. Also, its highlight is that you can communicate with other developers if you have difficult questions or answer questions from other developers. Visit it here 4. CodinGame CodinGame website helps you to actually play games while coding. It makes us approach problems more freely and happily, and increases our enthusiasm for problem-solving. CodinGame supports more than 25 languages and here you can learn many algorithms and tips from good programmers in the world. It also goes from easy to difficult so it suits everyone's learning needs. Visit it here 5. HackerRank The HackerRank website is a popular website for people who want to improve their coding skills. It's not just for newbies, but good programmers also enter because it has world-class competitions. In addition, it also gives you the opportunity to find a suitable job through competitions organized by recruitment companies. It mainly focuses on algorithms, AI, databases, and math. Visit it here 6. CoderByte The CoderByte website is a web application that allows you to practice and improve your coding skills. It has a lot of problems, arranged from difficult to easy, suitable for all levels of programming. In addition, it also has interview questions from big companies like Microsoft, Google, Facebook to help us grasp the techniques needed to apply to these companies. The downside is that if you want to approach advanced challenges or take the course here, it costs around $ 35 a month. Visit it here 7. FreeCodeCamp The FreeCodeCamp website is probably my favorite. It helps us to self-learn new knowledge and can apply new things to real problem-solving. In addition, you can get a free certificate for completing a project in the skills you just learned. The programming languages in the course are tailored for beginners such as learning HTML, then CSS ... In addition, it also has its own forum to help you solve difficult questions in the learning code. Visit it here 8. Edabit The Edabit website is where we can remember the basics and enhancements of a language by solving programming problems on this website. It will automatically calculate XP points every time you solve a problem. The more points, the higher the level. Isn't it interesting that you and other programmers are competing for point by point to top the rankings? It also helps us to increase our interest in coding and thinking and problem solving like a real programmer. Visit it here 9. TopCoder The TopCoder website is a challenging website with a fairly difficult level of problem-solving and is usually for those with a lot of programming experience. A place that connects businesses that are in need of solving certain problems with solutions given by programmers around the world. So if your solution is better than the other developers, you might get a cash prize from the business. In addition, you can also see issues resolved by other developers to apply to your website. Visit it here 10. Codepen Codepen website is considered as a social network for programmers with pre-written scripts with many different programming languages to help you learn and interact with other programmers. Another interesting point is that each week the website will come up with a topic to solve and you and others will compete against each other to solve the problem quickly and optimally. Visit it here Through here I hope the article will help you find the excitement of coding as well as solving problems in a better way and if you have any questions, please email me as soon as possible. We hope you continue to support the site so I can write more good articles. Have a nice day!

10 Best Coding Challenge Sites For Beginners 

Software engineering is a complex and ever-changing domain. When studying and practising it is easy to form wrong ideas from correct premises. As a self-taught software engineer that went from studying economics to developing large-scale software, I learnt a lot of painful lessons and often changed my mind about things. Thus, today I want to share with you 8 ideas that helped me improve my software engineering skills and advance in my career. This article requires some understanding of software engineering, at least the basics. Its content is ideal for people who have already started their learning journey and have mastered the basics. I hope that it would help you dive into more advanced topics with more confidence and reach the next stage of your growth. If you have no computer science and programming experience, I recommend you start with more introductory material, such as this great article from Scott Young on . teaching yourself to code 1. Focus on the context of your problems Image by Xkcd Software that works solves more problems and makes more money than software considered good by some convention. Blog posts often focus on sharing best practices because they cannot showcase tangible outcomes (and I am guilty of this!). However, when developers focus on outcomes instead, it can lead to challenging conventions. Let’s look at an example: version control (ie git). Software design principles such as and suggest that different components should use different repositories. Yet, leading tech companies like Google, Facebook, Microsoft all employ very large mono-repositories for all their code (and for ). Similarly, once my team was looking for a solution to integrate a static data file into our program and I feared criticism in suggesting to simply save the file in git (it was small and was not going to change often) because the principle says that one should never store data in git. It was only after receiving positive feedback on my thinking from a more senior engineer outside the team, that I felt confident enough to suggest it. single-responsibility separation of concerns good reasons It seems that when we are in doubt between favouring the requirements of the context and following a best practice, the former usually pays off. 2. Focus on mastering specific areas of expertise Image by Riccardo Volpato (2021) When novices hear experienced engineers saying that they should be able to learn a new programming language within one month, they usually object (or worse, they silently kill their confidence). However, both parts are right in their estimates. This is because learning a programming language often requires knowledge about the problems the language is commonly used for. Picking a domain and learning about its core concepts and terms first usually makes it much easier to master the tools used to solve problems in the domain. When I avoided this and dove straight into learning how to use a tool, I often end up believing for some time that I knew how to solve problems in the domain, when I actually only knew how to install and debug libraries. In my self-study, I learnt faster when I reviewed the main introductory textbook of the field before playing with related technologies. For each domain, there usually is a famous textbook that gives an overview of its terminology, problems, solutions, advanced applications and future trends. Some of my favourites are: for solving data science problems Doing Data Science for design large-scale system Designing Data-Intensive Applications for developing blockchains Mastering Bitcoin 3. There are so many different ways of being good Image by Riccardo Volpato (2021) Software engineering is a huge field. It is normal to feel there is so much that one doesn’t know. When managed properly, this feeling helps to stay curious and keep learning. However, it is easy to fall into the trap of believing that lacking knowledge in several areas means that one is not a good engineer. In reality, there are so many different ways of being a good software engineer. Doubling down on a single strength often pays off more than worrying about partially patching many weaknesses. People often believe that the only way of being a great engineer is to become the stereotypical top coder that hammers out perfect features non-stop for 12 hours a day. Actually, there many non-obvious (and sometimes wrongfully belittled) ways of being a good engineer, such as: software engineers Product-minded Connectors and communicators Fixer Owing up to our unique background and interests is often the best way to differentiate ourselves. I have often been self-aware of being a self-taught software engineer until I was told by a hiring manager that my diverse background was something that differentiated me positively during the interviews. 4. History matters Image by xkcd In an interview with Dr Dobb’s Journal in 2012, Alan Kay said: “Computing is pop culture. Pop culture holds a disdain for history. Pop culture is all about identity and feeling like you’re participating. It has nothing to do with cooperation, the past or the future - it’s living in the present. I think the same is true of most people who write code for money. They have no idea where their culture came from.” Knowing the history of computing may seem uncool and unhelpful to implement a feature or fix a bug. But when one is considering using a certain technology it is useful to know what problems it was designed to solve. History is often cyclical. The was based on a hierarchical data model which represented the data as a tree of records nested within records. SQL was invented because this model didn't work well for many-to-many relationships and joins. In the last decade, to overcome limitations in the scalability and expressivity of the SQL model, people developed document databases (also known as NoSQL). In many aspects, NoSQL has essentially reverted to the hierarchical data model and share many of its challenges. most popular database before the advent of SQL 5. Hyped tools are for experts Image by Riccardo Volpato (2021) When we become more aware of the history of computing, we realise that hyped technologies stand on top of many other building blocks. Knowing about them is often helpful if not necessary to master the “cool new thing”. By spending time to strengthen their fundamentals first, novices can then work on innovative applications with competence and confidence. I first came across this idea in where Cal Newport argues that innovation happens at the “adjacent possible” of existing fields. To reach it and contribute, aspiring innovators need to first master the existing part of the field. Focusing on hyped tools without strong fundamentals feels great but is often unsustainable past the initial enthusiasm. So Good They Can’t Ignore You 6. Coding interviews are deliberate practice Image by Riccardo Volpato (2021) Some people argue that coding interviews are a bad hiring practice because they differ too much from the day-to-day work of a software engineer. Differently, I have found that whenever I took time to practice coding challenges, the code I write at work would increase in quality. I achieved better space and time complexity and wrote cleaner code that was easier to reason about. This is because coding interviews are a way to deliberate practice software engineering skills. In fact, coding interviews fit well , as the definition of deliberate practice they come in various levels of difficulty, so it is easy for a developer to pick questions that push them beyond their comfort level; and they give quick and clear feedback. However, great code requires more than just passing tests. This is why peer-based interviews, such as or actual hiring interview, can provide richer feedback than test-based editors like . Pramp LeetCode 7. Code says as much about its function as it says about its writer Image by Riccardo Volpato (2021) In abstract term, software is a way to represent a desired behaviour or workflow. As such, software is also a medium of communication between the application and the machine, the developer and its team or the developer and her future self. Consequently, software tells a lot about the knowledge and state of mind of the person or team that developed it. For example, disorganised teams tend to produce messier code than those managed by an opinionated tech lead that enforces a clear style guide. To write well-structured and understandable code is helpful to start from well-structured and clear ideas about the problem one is trying to solve and its intended solution. When ideas are unambiguous across the team, it is even better. 8. Software has far-reaching consequences Image by xkcd We debate a lot on how autonomous vehicles should solve the but we don’t blame people for making bad driving decisions under pressure (besides reasonable expectations). Why? We cannot expect people to behave consistently under pressure. However, we can sit down together and decide conclusively how an autonomous vehicle should behave during an incident and script it. trolley problem We can think of software as scripted behaviour, like forming a habit or making a commitment: we decide that whenever a given situation arises, we will take a specified action. Making commitments is one of the main ways of influencing the future, so people are careful about it. If you notice, many engineering books end with a chapter about the responsibilities of developing technology. Beware, accepting that software has far-reaching consequences does not imply that we should be careful about every development decision. An alternative is to write software that is easy to modify so that we can easily adapt it when the circumstances change. This was a broad article. To recap, the 8 ideas that helped me get better at software engineer are: Focus on the context of your problems Focus on mastering specific areas of expertise There are so many different ways of being good History matters Hyped tools are for experts Coding interviews are deliberate practice Code says as much about its function as it says about its writer Software has far-reaching consequences I hope that at least some ideas inspired you. If not, it’s great that you already know so much! As I wrote this article within few weeks, I am sure many other important ideas shaped my learning but I could not recall them. And perhaps, you are aware of some more! What are the ideas that helped you get better at software engineering the most? I can’t wait to read about them.

8 Things That Helped Me Improve My Software Skills

I’ve been a computer programmer for over ten years now. I went from freelancing to running a consulting agency to working for a Silicon Valley startup full time and am now trying to build a product myself. While I do have a formal CS education, I consider myself mostly self-taught. A big part of my professional development comes from me doing competitive programming as a kid. More specifically, from being part of a small computer club in my hometown, run by a passionate university professor — . Michael Dolinsky If you have any familiarity with the competitive programming landscape, you most probably have heard of , who is considered one of the world’s best in the sport. He came out of that same computer club. While he put into it much more than just weekend practices, there were dozens of other “regular” kids like me, who haven’t become rockstars but built decent careers nevertheless. I think we’d all agree that the club played a decisive role in how our professional lives turned out, but what was so special about it? In this article, I’ll try to describe how the club functioned and what I think were the most important things that made everything work. @tourist There was no age restriction at the club, kids could come as early as 1st grade I deeply believe that motivation is the hardest and yet most important thing to solve in education. Schools, universities, and coding boot camps fail not because their content is not good enough or they can’t hire the world’s best experts in whatever they teach. It’s always because their students take learning half-heartedly, don’t step outside the curriculum, and don’t put in those extra hours that are so much needed to hone any skill. That’s in turn because they don’t understand why they’re doing what they’re doing. Learning doesn’t truly align with their passions, and the environment itself doesn’t help boost motivation. Motivation and environment were things that Michael, the teacher who ran the club, got perfectly right. He managed to build a system in which almost any kid would become a decent programmer after a few years, ready to skip the university and go directly to the market. What’s even more impressive is that Michael never really taught anyone in the club how to program. He was solely a manager who made sure the system was well-oiled and a few essential components continued operating. Here they are: The platform Competition The long-term goal Knowledge sharing The community The platform At the heart of the entire process was a custom-built learning platform. It was similar to what you’d see at LeetCode, TopCoder, or CodeForces today, but a bit more dated. We’re talking about the early 2000s here. The platform had a giant archive of programming tasks and could automatically evaluate anyone’s solution against a set of tests. Everyone’s first day would begin with creating a profile in the system and submitting a simple task — a “Hello World,” “A+B,” “fizz buzz,” or similar. There were hundreds of puzzles for any level, and everything was centered around solving them. Notably, there wasn’t anyone maintaining the system aside from older kids and alumni. Here’s how it looked like back in the day: Competition Even more important than the tasks themselves was the ranking table that the learning system maintained. You’d score points for pretty much anything you do. We were constantly comparing ourselves to other kids. Everyone wanted to be higher on the table than their friends and get closer to . #1 Every Sunday, we had a practice competition — typically, a replay of some other contest re-hosted on our system. Half of them were individual, and half were team challenges. The drill was always the same: ACM-style Come at 9 am. Work on algorithmic puzzles for 5 hours straight. Discuss the results. Go home triumphant or devastated. Spend the week working on mistakes. Repeat. Everything was carefully measured and recorded. You’d get separate points for competing, practicing, or submitting your fixed solutions after the main contest. There was a ranking table for every activity, and we, the kids, cared a lot about those tables. Aside from in-house contests, we actively participated in everything available to us online ( , , ) and sometimes even traveled to other countries to compete in person. The most important of all was the national programming olympiad and the (for those who scored well in nationals). TopCoder USACO SPOJ IOI The never-ending contests were the thing that fueled our dopamine systems and kept everyone going. Nothing was mandatory, but if you wanted to score well, you had to practice. The best performers dedicated 100% of their free time to programming, and it was completely voluntary. The long-term goal Scores and competitions were great as short- and mid-term fuel, but our motivation wouldn’t be sustained in the long run without a bigger goal. Kids would typically join the club because they had an innate interest in computers. However, as we grew, we all converged towards the new objective — getting into a university without taking any tests. In the country I’m from, we have free education, but it’s not available to everyone. You have to score well in a GMAT-kind of test to get a free college admission. Typically, your entire final year in high school would be dedicated to practicing for the test and remembering as many disconnected random things as you can. However, there’s a shortcut. If you perform well in the national olympiad, you can skip all of that and enter any university in Belarus without passing any exams. So, instead of competing with the entire country in 3–4 subjects, you could keep doing what you like and focus on just one skill. Needles to say, we all preferred the second option. The trade-off, however, was that you must’ve scored well in your final year. Otherwise, you risk not getting anything at all, as you probably haven’t studied “those other subjects” anyway. The alternative of going to the university was serving two years in the Belarusian army, which is mandatory for all men, except those getting a higher education. Our teacher would constantly remind us about this, and it worked like magic, especially for older kids. Nobody wanted to end up doing this ☝️ Knowledge sharing Even though Michael Dolinsky was a working professor at the university, he never gave us a lecture of any kind. Instead, we would often come to him with questions, and all he would do was point at a more knowledgeable kid who could help with that. If the topic was too broad, he’d suggest a book, but he rarely explained anything himself — ! it just wouldn’t scale Another activity that worked exceptionally well were regular after every contest. We’d all get in the same room and, task by task, we had to explain our solutions to everybody. Beginners would be called out for simpler stuff, and more experienced kids would explain the rest. It was often a great challenge for people to lay out random thoughts on a blackboard in an understandable way for the first time. The entire audience would try to decipher what they meant and help present the idea in a cleaner way. The “rockstars” would often brag about a novel algorithm that they had recently learned and applied successfully. Those who wanted to catch up would take notes and spend extra time at home practicing the new approach to stay competitive. In rare cases, when there was a task that nobody solved, we’d collectively brainstorm solutions. It was fun! debriefs There was always something to talk about, and it was a hundred times more useful than any lectures because the information wasn’t random. It was directly relevant to what we were trying to achieve in the last five hours (and often failed). I believe the debriefs were the single most crucial thing that accelerated our progress in the club. The community The final essential part of the club was, of course, the people themselves. Knowledge sharing doesn’t mean much if you’re the only person in the room. Fortunately, our town was relatively small, and every informatics teacher knew about the club. If they saw someone even remotely interested in computers, they’d send them there. The club was completely free and open to everyone. There were no obligations or prerequisites. Anyone could walk in any time they wanted and stay for as long as they had a desire to write stupid little programs. As a result, there was no shortage of smart kids around. It was all in-person, and a lot of us made lifelong friendships at the club. Everyone knew everyone, and . Getting recognition from someone you know and scoring higher than is very different than being the world’s number 10937 on a platform where everyone is online, hiding behind an obscure nickname. that’s what made competition meaningful your friend As a bonus point, club alumni from different years would often attend debriefs and tell us stories about the future. What their university experience felt like, how they got a job, how some of them moved to Silicon Valley, etc. It was adding even more color to the “long-term goal” and worked as a great extra motivator. I’ve been part of many online learning communities since then, and the lack of personal connection was always that bottleneck that didn’t allow the entire thing to function as its creators imagined. Personal relationships glue everything together and make the world move. You can easily replicate the other 4 parts, but it would be extremely hard to make the entire thing work without the community. Final thoughts These five components were at the core of a very successful system that produced hundreds of capable programmers over the years. It’s probably not that many on the grand scheme of things, but it was very significant on our town’s scale. The club also profoundly affected my professional development, and I can’t help but think about how I can build something similar on a larger scale. I have a few ideas in mind, but the first step was to write this article and summarize everything I know so far. I wish it was less dry, but I’m glad you’ve reached this far, and I hope you found it at least mildly interesting. I’d be happy to answer any follow-up questions you might have. Finally, if you’re passionate about teaching (or learning) programming — let’s turn the comment section into a drawing board and contemplate some ideas together. Tell me If you’re learning right now, what helped you learn how to program? What did you see working for others? What didn’t work? what are your biggest obstacles, and how are you trying to overcome them? Also published at https://pacavaca.medium.com/the-best-programming-teacher-that-never-taught-me-a-lesson-fafbdb779727

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