Prepare for your interview with these excellent resources. They’ll help you learn, practice your skills, and test your knowledge of a tricky subject.

7 Websites to Practice Data Structure & Algorithm Coding Challenges

Get the most recent info and news about HackerRank on HackerNoon, where 10k+ technologists publish stories for 4M+ monthly readers.

HackerRank is a technology hiring platform that is the standard for assessing developer skills for over 3,000 companies around the world. HackerRank helps companies hire skilled developers and innovate faster by enabling tech recruiters and hiring managers to objectively evaluate talent at every stage of the recruiting process.

HackerRank

Introduction As an individual who has delved into the world of programming and coding challenges, I have had the opportunity to explore several platforms, each with its own set of advantages and disadvantages. Among the platforms I have utilized are LeetCode, CodeWars, CodeSignal, and HackerRank. Allow me to share my experiences and insights regarding these platforms, highlighting their pros and cons. Leetcode LeetCode has been my go-to platform, primarily because I have successfully solved the largest number of problems here. One of the significant advantages of LeetCode is its vast collection of coding challenges. This extensive repertoire ensures that there is always a problem to suit your skill level or area of interest. Additionally, LeetCode provides more comprehensive and better test cases compared to other platforms. The vibrant and large community associated with LeetCode is another positive aspect, as it allows for interaction, discussions, and sharing of solutions with fellow coders. Furthermore, LeetCode offers a solution working at the backdrop, which provides the correct answer for any randomly generated test case. This feature greatly assists in identifying flaws in your solution. However, it is worth mentioning that some of the problems on LeetCode are occasionally poorly explained. Another drawback is that the output generation feature is not available for interviews conducted via LeetCode, which can be inconvenient. Codewars CodeWars is another platform I have found useful, having solved a considerable number of problems here. One notable aspect of CodeWars is its impressive user interface, which enhances the overall user experience. The platform also offers a good collection of coding challenges that cater to various skill levels. However, a downside of CodeWars is that it lacks the ability to generate correct output for random test cases. In other words, there is no readily available correct solution working at the backdrop, which can make it more challenging to validate your code. CodeSignal Although I did not solve many problems on CodeSignal, I did participate in random coding tests. What struck me as highly advantageous about CodeSignal is its ability to generate correct output for any random test case, even during coding tests. This feature proved to be extremely useful, as it allowed me to validate my code promptly. Unfortunately, due to limited usage, I cannot provide a detailed analysis of its drawbacks and must give it the benefit of the doubt. HackerrRank HackerRank is another platform where I tackled a few problems. It stands out for its abundant collection of beginner-friendly problems, making it an excellent choice for individuals who are new to programming and looking to build their skills. However, unlike the aforementioned coding platforms, HackerRank requires you to write the entire code yourself. Personally, I find this to be somewhat arduous and time-consuming. I encountered an instance where I struggled with a particular problem on HackerRank, attempting to solve it using Python. However, the output had to be formatted as a string with spaces between numbers, which proved to be a tricky task in Python. While HackerRank processed C/C++ solutions for this problem, it lacked the mechanism to process Python solutions. It was an exasperating experience that left me feeling frustrated. Can there be a perfect or a near-perfect coding site? In my opinion, the optimal solution lies in combining LeetCode and CodeSignal. LeetCode, with its extensive collection and robust test cases, serves as an excellent platform. However, it would greatly benefit from adding the output generation mechanism for the interviewing feature as well. This enhancement would eliminate the need to write a separate brute-force solution for stress testing during interviews. Stress testing is not always feasible, particularly for problems for which brute-force solutions are much harder to think of than trivial approaches. Additionally, the time constraints of interviews may make it impractical to carry out stress testing. If LeetCode incorporates this feature, it would become a nearly perfect online judge for programmers. Conclusion Confused about which one should you choose? Well, I encourage individuals interested in coding challenges and improving their programming skills to explore platforms like LeetCode, CodeWars, CodeSignal, and HackerRank. Each platform offers unique merits, such as extensive problem collections, comprehensive test cases, user-friendly interfaces, or beginner-friendly content. By engaging with these platforms, programmers can gain exposure to diverse challenges, enhance problem-solving abilities, and benefit from the supportive coding communities provided by each platform. Feel free to have a look at my profiles on these coding sites: : Leetcode https://leetcode.com/sadman022/ Hackerrank: https://www.hackerrank.com/sadman022 Codewars: https://www.codewars.com/users/Abedin022 CodeSignal: https://app.codesignal.com/profile/sadman022

Comparing Coding Platforms: LeetCode, CodeWars, CodeSignal, and HackerRank

There are many repositories on where people upload their solutions to the problems they have solved on . When I started solving problems on , I also started doing the same since it provides as a place to go through the things I had practiced. But as I started solving more problems, it became difficult to manually copy paste them so I wrote a script that can do the same. github hackerrank hackerrank python Currently the script is configured to scrap though the Java and python tracks, and can be configured to add additional tracks by adding them in tracks array. For the source code here is the repository link, first link is of the scrapper and second of my hackerrank solutions for reference. https://github.com/hearsid/hackerrank-scrapper https://github.com/hearsid/hackerrank-scr https://github.com/hearsid/hackerrank-scrapper _Hackerrank submitted solutions scraper and my submitted solutions. - hearsid/hackerrank_github.com hearsid/hackerrank Here are the steps to use it for your account Clone the above repository, or you can copy the required python files. Login to your hackerrank account and copy the CSRF token and cookie from the headers of any of XHR request. (You can check the same in the network tab of chrome devtools) Create a credentials.py file in the same folder and add your CSRF token and cookie in the same. Sample given after 6th point. Go to scraper.py file and add the tracks you want to scrap in the TRACKS array. Go to util.py file and for the tracks update the extension with which you would like to save the file. Run > python scraper.py # credentials.pyCSRF_TOKEN = ‘CVKP-XXXX-lYT7iQ==’COOKIE = ‘hackerrank=ea729eb0–XXXX-3114’ The hackerrank URL’s I have used in the above repository work well now but may change over time. Please create an issue if you find anything not working or would like to request a feature.

Scrapping your Hackerrank.com submissions with python

A Forbes 30 under 30 alum and the first Indian founder to go through Y Combinator, HackerRank founder Vivek Ravisankar is out to kill the resume and help developers land jobs based on skill. Davis Baer : What’s your background, and what are you working on? What is HackerRank? : HackerRank’s mission is to match every developer to the right job — with the underlying driver being skill. Software developers can come to HackerRank to practice and prove their skill by solving coding challenges and companies can hire technical talent based on skill. Vivek Ravisankar Today, we are proud to have a global developer community of over 4 million developers — which is roughly more than 15 percent of the world’s developer population — and more than 1,100 businesses like Dropbox, VMware, Stripe, Adobe, Coinbase and Capital One that are using HackerRank to find talented developers. HackerRank has been an incredible journey. It all started as a vision for improving the way developers find jobs. For a bit of background, I was born and raised in Bangalore and Chennai, India. I’ve been interested in computer programming most of my life, and in college I decided to pursue a CS degree. India has one of the highest populations of developers, making the market incredibly competitive. As a result, the best tech companies tend to look for student resumes or profiles with a high GPA from elite universities. The problem is that grades and alma mater aren’t an accurate reflection of true ability. That was certainly the case for me. During college, my friend and eventual co-founder Hari Karunanidhi and I spent hours programming and competing in (and winning!) online coding challenges for fun. We had solid fundamentals and were really strong coders, but didn’t necessarily have the pedigree that recruiters were looking for, especially in such a competitive candidate pool. After graduation, I was fortunate enough to land a job as an engineer at Amazon. I felt incredibly lucky that Amazon recognized my potential and gave me a chance. While I didn’t go to a top-tier college, several Amazon recruiters came to my campus for a coding competition that I was participating in. Ultimately, I benefited from the fact that I was able to demonstrate my skill first-hand. I really wanted to help create opportunities for more developers at scale. During my time at Amazon, I spent a lot of time — hours every week — interviewing technical candidates only to find out later that some of them didn’t even pass the baseline skill requirements. What’s more, for every one position we’d fill, we’d interview roughly 50 candidates. These interviews took up a ton of my time that would have been better spent building products. In fact, Amazon’s CTO Werner Vogels has said that engineers tend to spend 30% of their time just recruiting. At this point, I started thinking back to my own job search experience and the experiences of so many others — including Hari. I realized that people who are more than qualified for a job are often overlooked because they didn’t go to a top school, don’t have a fancy degree, a high GPA or the network needed to get their foot in the door. It became clear that the model for hiring was broken. So Hari and I set out to fix it. Our original idea was around job prep and mock interviews — we called it InterviewStreet — but it didn’t work since students didn’t want to pay for mock interview assistance. Our second idea was a tool to help match Indian students to master’s programs in the U.S. That one didn’t work out either. We realized that in order to create a viable business, we needed to rethink our revenue stream while still aiming to match every developer to the right job. Eventually we landed on the idea of HackerRank in 2011 and were accepted to Y Combinator that year. In fact, we were the first Indian founders to go through YC! It was our third attempt — we applied with the other two ideas, but they weren’t accepted. In the final round of the application process, we were invited for a 10-minute interview in Silicon Valley. I got an expedited business visa, but Hari’s was denied. Three days later, I jumped on a plane to the U.S. for the first time in my life. I landed on Thursday and my interview was on Friday. That trip paid off — we were chosen for the YC Summer 2011 batch. But since Hari didn’t get an H1-B visa, we co-founded the company from Silicon Valley and Bangalore. Seven years later, we still run the company from dual headquarters. What motivated you to start HackerRank? I realized that dependance on the resume as the best predictor of ability is a mistake — frankly, it isn’t a good way to evaluate programmers’ skill objectively. I think at one point, when Hari and I did the math, we realized we were both doing about a hundred phone screens to get one offer at Amazon and IBM. That is unsustainable. Think about how not only inefficient that process is, but also all of the productivity lost by taking engineers’ time away from building new products and services. We thought, there had to be a better way — both for developers and companies. So that’s how we got started. What went into building the initial product? From early on, Hari and I have strived to be very clear about our vision and goals. HackerRank’s north star has always been to level the playing field for job opportunities. We’re both developers, and we made this company to solve a specific pain point that impacts software developers and the companies looking to hire them. As we’ve built and scaled the product, we’ve always asked ourselves “How do we guarantee an outstanding developer experience?” The developer candidate comes first — and this focus on developer experience is a competitive advantage for companies. In terms of the actual code base, HackerRank was initially built using CodeIgniter, a popular PHP framework. Unfortunately, as we tried to build out the platform using that framework, we realized it was not conducive to building and prototyping quickly. So, we decided to move to Ruby on Rails, since the community was pretty active and there was a wide variety of plugins (gems), which made back end development easy and quick. On the front end, we used Backbone.JS since it was a simple framework with a minimal learning curve, and it allowed us to build the first version of HackerRank within a week. Unfortunately, as the application grew, it became increasingly difficult to manage the codebase, which required us to move to React. How have you attracted users and grown your company? Attracting our first users took some time and a bit of scrappiness. We attempted several strategies, including asking my ex-manager at Amazon to beta test the product, but not surprisingly, Amazon wasn’t keen to try out a product that was just built by a couple of guys in a garage. So we had to go back to the drawing board. We decided to create a fake resume that boasted the best of the best credentials and we put it up on various job posts. We ended up receiving a slew of inbound phone calls from recruiters interested in speaking with this “candidate.” And whenever we would receive a phone call, we would say, “Hey you know what, I’m not that person. But, if you use our product we can help you find people like this.” This strategy ended up being really successful in generating demand. We actually secured Zynga as an early customer with this approach. As we’ve grown, we’ve prioritized making sure the platform is easy to use and can deliver immediate value to our customers. Selling to enterprises has also required us to make sure we’re able to cater to their needs, which are very different from startups. If you’re going to sign up a customer like Goldman Sachs, Bloomberg or VMware, you must give them the ability to deploy to large parts of their organization, whether that’s an integration with their existing tracking systems like Workday, Taleo, Single Sign-On or Pins Management. What’s your business model, and how have you grown your revenue? We are a SaaS based application that companies pay to assess developers’ skill. It’s free for developers and always will be. Our revenue growth has been a combination of organic word-of-mouth and having an inbound and outbound sales force. What are your goals for the future? My goal is to build a world where candidates land jobs based on merit. I want to ensure that developers around the world have a way to showcase their skill, that companies are recruiting and assessing candidates based on their ability, and that we at HackerRank are bridging the two to ensure every developer is matched with the perfect job. What are the biggest challenges you’ve faced and obstacles you’ve overcome? If you had to start over, what would you do differently? In Silicon Valley, there is a tremendous amount of emphasis placed on companies to be high growth, which has merit. But companies also need to balance that high growth with good fundamentals. Back in 2014–2015, we were hiring really quickly. I was consumed by the idea of “hyper growth.” I learned the hard way, though, that you must establish a solid foundation that can support that rate of growth while still maintaining a healthy and sustainable business. At one point, I realized that we were growing too quickly for our own good. First, we needed to make sure we were clear on the product we were selling, whether we had a solid product road map to support it, whether we had the right team to build and scale the platform, etc. We took our foot off the gas pedal, which slowed our growth, but allowed us to really focus on building a solid foundation. Now, the company is in a much stronger and healthier state, which allows us to accelerate growth in a smart way. Have you found anything particularly helpful along your journey? Any advice, books, habits, decisions you made that have helped you succeed? I find it inspiring to read about how other successful and creative business leaders have built their businesses and overcome challenges along the way. I recently read “The Hard Thing About Hard Things” by Ben Horowitz, which is a book that every CEO or business leader should read. Oftentimes, the external view of companies is that they are always doing great. However, the reality can be very different. I found it therapeutic to read this book, and it’s an important read for every entrepreneur because it teaches you how to focus on the road instead of the wall when there are so many things changing internally and externally that impact your company. In addition to Ben Horowitz’ book, Y Combinator founder Paul Graham has been a great mentor. He has taught me invaluable lessons, including the importance of understanding that the highs aren’t as high and the lows aren’t always as low as they look. Maintaining that perspective is important at scale. A third concept I’ve found helpful is this idea of being an infinite learner. It’s a concept popularized by Reid Hoffman. Every day, you have a bigger job than the previous day. It’s crucial to think about the skill sets you need and those that are missing to ensure you are continually growing in your career. By taking stock of your skills and those lacking, it is also easier to determine the best course of action to develop and master these skills. What’s your advice for entrepreneurs just starting out? It’s important to build a company that reflects an idea you are passionate about and driven to bring to life against all odds. If you’re building a company for the sake of building it or just to make money, you’re not in it for the right reasons. Building a company isn’t easy. You’ll inevitably come up against challenges you couldn’t have anticipated, have to make trial-and-error choices on decisions that you don’t know the right answer to and face disappointment and stress. If you are not excited about your idea, it will be difficult to weather these hurdles. On the flipside, if it’s a problem that you’re on a personal mission to solve, it’s hard to give up because you’ve fallen in love with the idea. Where can we go to learn more about HackerRank? If you want to learn more about HackerRank, you can visit our website: . You can also reach out to me with any additional questions or comments on Twitter @rvivek and / or LinkedIn at . HackerRank.com Vivek Ravisankar This interview is brought to you by , a tool to schedule and automatically repeat your posts on Facebook, Instagram, Twitter, Pinterest, LinkedIn, and Google My Business OneUp

Founder Interviews: Vivek Ravisankar of HackerRank

Competitive Coding Platform Hackerrank conducted a survey with its developers and below is the insights from analysing the dataset that was opensourced by Hackerrank on Kaggle Datasets platform. About the dataset and Survey A total of 25,090 professional and student developers completed our 10-minute online survey. The survey was live from October 16 through November 1, 2017. The survey was hosted by SurveyMonkey and we recruited respondents via email from our community of over 3.4 million members and through social media sites. Focus of this Analysis While this is a general survey dataset, the focus of this analysis is to understand . Women in Tech Highlights A very clear action is to motivate and appreciate Girls code from the early age. Bill Gates and Mark Zuckerberg have started coding while they were in high school. Organizations working to improve diversity in Tech should start right from there. . Also Parents should be educated of how important it is for their Girl child to code School Computer Science degree has been perceived as something that Boys do well. Universities need to market Computer Science Degree for all. It should make girls believe that it’s something that’s definitely their cup of Tea. Also adding mandatory Female quota to improve diversity in the classroom could help. University CS Degree Marketing Proportion of Female Students seemed to be improving with respect to the past. It’s very important to preserve them, hone them and take them forward without them dropping off due to lack of proper mentorship. Hence, Community like should organize Coding Awareness events among those to ensure them their confidence. Hacker Rank Developing Nations — especially African nations are leading in Female-to-Male Ratio. A specific survey targeted at them and also a with them could help us with take away to improve the larger community. focus group discussion Helping Women move up in ther Career from Junior Developer to Senior Developer is important. That’s exactly the time when they’re filled with many commitments in their personal life. It’s important to push organizations that want to improve diversity to push for those women who want a long leave of absence with a surity of a job when they come back and also to . Sabbatical emrbace Women into jobs after a career gap Adding up to the above point, Enabling Working environment will also help the larger goal. Remote/Flexible Defining a clear for new comers — espcially with respect to the langauge that’s on demand in the market — Javascript / Python. I’m obliged to mention that does an amazing job in that — for completely free. learning path Freecodecamp While teaching to code, It’s important to promote maintain an . Because as says, . Hence the projects (mini/major) or any other work of them either in the form of code or a blog post should be made published online. online portfolio like github or a blog Cal Newport “If you don’t produce, you won’t thrive” Along with the technical skills, It’s also clear that hiring managers look for the ability to communicate well and to learn new. That makes it important to help those new learns, learn such . Soft Skills Meta: The above insights have been derived from the analysis performed using Rmarkdown hosted on . The analysis uses R programming for data analysis and an R wrapper around javascript library to interactive plots. Kaggle Kernel highcharter highchart.js

Hackerrank 2018 Survey Analysis — Gender focused Insights

The biggest question you should ask yourself before read further is "What is coding?". So coding is the process of assigning a code to something for classification or identification. Basically there are 3 levels of coding: Beginner Intermediate Expert So, let's start the journey with some gaming and believe me you will learn a lot through these games. Yes, Definitely coding. CodeMonkey CodeMonkey is a fun and educational game-based environment where kids learn to code without any prior experience. After completing CodeMonkey's award-winning coding courses, kids will be able to navigate through the programming world with a sense of confidence and accomplishment. CODEWARS Codewars is an educational community for . On the platform, software developers train on programming challenges known as . These discrete programming exercises train a range of skills in a variety of programming languages, and are completed within an online . computer programming kata integrated development environment On Codewars the community and challenge progression is , with users earning ranks and honor for completing kata, contributing kata, and quality solutions. gamified So, as you have played some games , now you can jump on some  Coding websites. BEGINNER 1.GEEKSFORGEEKS GeeksforGeeks was created with a goal in mind to provide well written, well thought and well-explained solutions for selected questions. The core team of five super geeks constituting of technology lovers and computer science enthusiasts have been constantly working in this direction. 2.HackerRank HackerRank is a place where programmers from all over the world come together to solve problems in a wide range of Computer Science domains such as algorithms, machine learning, or artificial intelligence, as well as to practice different programming paradigms like functional programming. INTERMEDIATE 1. HACKEREARTH HackerEarth provides enterprise software that helps organisations with their technical hiring needs. HackerEarth is used by organizations for technical skill assessment and remote video interviewing. In addition to that HackerEarth also has a community and since inception built a base of 4M+ developers. In the community, HackerEarth is known for having conducted 1000+ and 10,000+ to date. hackathons programming challenges HackerEarth has raised $11.5 million in funding over three rounds[3]. Today, more than 750 customers worldwide use its technical coding assessments platform, including Amazon, Walmart Labs, Thoughtworks, Societe Generale, HP, VMware, DBS, HCL, GE, Wipro, Barclays, Pitney Bowes, Intel, and L&T Infotech.HackerEarth is backed by GSF Global and Angelprime. [6] 2.LEETCODE It’s a website where people–mostly software engineers–practice their coding skills. There are 800+ questions (and growing), each with multiple solutions. Questions are ranked by level of difficulty: easy, medium, and hard. Similar websites include HackerRank, Topcoder, InterviewBit, among others. There’s also a popular book, “Cracking the Coding Interview,” which some call the Bible for engineers. The Blind community uses a mix of these resources, but based on mentions, LeetCode seems to be the most popular. Our active users cite the following reasons for preferring LeetCode: more questions, better quality, plus a strong user base. EXPERT 1.CODEFORCES Codeforces is a website that hosts contests. It is maintained by a group of competitive programmers from led by Mikhail Mirzayanov. Since 2013, Codeforces claims to surpass Topcoder in terms of active contestants. As of 2018, it has over 600,000 registered users. Codeforces along with other similar websites are used by top sport programmers like Gennady Korotkevich, Petr Mitrichev, Benjamin Qi and Makoto Soejima, and by other programmers interested in furthering their careers. competitive programming ITMO University 2.CODECHEF CodeChef is a competitive programming community of programmers from across the globe. CodeChef was started as an educational initiative in the year 2009 by Directi, an Indian software company. Apart from its monthly coding contests for the community, CodeChef has many initiatives for Schools, Colleges and Women in competitive programming. CodeChef is credited with hosting the India regionals of the prestigious ICPC for college students, as well as for IOI for school students in India. In 2020, CodeChef’s custodianship was changed from Directi (founded by Bhavin Turakhia) to (Gaurav Munjal, CEO). CodeChef and its various initiatives have been managed and run by its Business Unit Head Anup Kalbalia. Unacademy CONCLUSION That's all for today. The coding levels are divided by me on my personal opinion. I have personally visited and tried problems on all these sites. Coding is like an art. It requires patience and hard work. Going step-by-step is the best method. ALL THE BEST AND KEEP CODING!

Coding Games and Websites to Help You Learn Programming

Why Developers Hate Coding Skills Tests (And What Hiring Managers Can Do To Change That)

The world of work is changing––rapidly. Thanks to the advent and rapid adoption of generative AI, tech stocks had a bumper 2023, with the share price of the Big Five ( , , , , and ) leaping by 60% from the start of that year. 2023 was also a , which saw its shares triple in price. Alphabet Amazon Apple Meta Microsoft smash success for chipmaker, Nvidia And while adoption isn’t even across the board yet, corporate America is sitting up and taking notice. At JPMorgan Chase, for example, the company said it had 600 machine-learning engineers, with AI working on more than 300 different internal applications. A recent found that 71% of C-suite leaders said that advancing their use of AI is either a high or medium priority for their organization, with 62% of executives noting that they are worried they’re not moving fast enough with AI. study from UKG That has led to some companies doing “AI washing”, aka exaggerating the amount of AI technology they use in their products or services. While some companies might not be entirely truthful about their motivations and use of artificial intelligence or machine learning technologies, what is increasingly true is that in an AI future, tech workers will need to upskill. The World Economic Forum (WEF) says that “the 2020s are becoming the decade of development for employees and employers in terms of skills and career progression”. Its most recent identified that 44% of workers’ skills will be disrupted in the next five years, and six in 10 staff members will require training before 2027. Future of Jobs Report Upskilling for free Key skills to acquire will include new technology capabilities, but the WEF has also identified key human skills such as analytical and creative thinking, as well as resilience, flexibility and agility, motivation, and self-awareness. AKA, the things that artificial intelligence (so far) can’t do. If you’re thinking about some upskilling, then one great place to begin is (OCW) platform. MIT’s OpenCourseWare A free and open space to learn, OCW contains material from thousands of MIT courses across every MIT department and degree program, ranging from the introductory to the most advanced graduate level. Courses include a syllabus, instructional material (such as lecture notes or a reading list), and learning activities like assignments or exams. You can use all the courses at your own pace, and there is no enrollment fee or date to complete by––useful for those working in busy, pressurized roles. A huge range of computer science, engineering, and technology courses are available, across topics such as machine learning, generative AI, Python, deep learning, cognitive robotics, data science, and much more, all for free. If upskilling to get a new job is on your 2024 agenda, then the courses above are a great start. And your job hunt is made far easier too thanks to the . It contains thousands of interesting tech roles, like the three below. HackerNoon Job Board DataAnnotation is seeking a to train its AI chatbots to code. This flexible, part-time or full-time role allows you to choose the projects you want to work on, involves coming up with diverse problems and solutions for a coding chatbot, writing high-quality answers and code snippets, and evaluating the code quality produced by the AI model. You will need to be proficient in at least one programming language and able to solve coding problems (LeetCode, HackerRank). Software Developer Adobe is looking for a in San Jose. The salary range for this position is $135,200 - $250,900, and you will have either research or industry experience in building scalable data and ML platforms. In this role, you will have the opportunity to build a new GenAI foundation to change the creative landscape and will collaborate with data platform engineers and architects to seamlessly integrate low latency data pipelines into the ML platform for model training, as well as writing high quality, product level code that is easy to maintain and test following standard methodologies. Other tasks include designing and implementing reusable and scalable data-loading framework to support video and audio foundational model training in large-scale and distributed environments. Machine Learning Engineer Python programmers looking for a new role can consider this role at SAIC in Chantilly. You’ll be experienced, results-oriented, and mission-driven, with a specialized focus on data engineering in order to perform data model design, data formatting, and ETL development optimized for efficient storage, access, and computation in support of national security objectives. A solid understanding and experience with developing, automating, and enhancing all parts of the data pipeline to include ingestion, processing, storage, and exposing data for consumption is required, along with a focus on improving inefficient tooling and adopting new transformative technologies while maintaining operational continuity. Python Developer Want a great new tech role? Discover it now on the HackerNoon Job Board right By Kirstie McDermott

MIT Has Released a Bunch of Free Courses: Discover 5 To Boost Your Tech Career

এমআইটি একগুচ্ছ বিনামূল্যের কোর্স প্রকাশ করেছে: আপনার কারিগরি ক্যারিয়ারকে উন্নত করতে 5 আবিষ্কার করুন

Das MIT hat eine Reihe kostenloser Kurse veröffentlicht: Entdecken Sie 5, um Ihre Tech-Karriere voranzutreiben

El MIT ha lanzado una serie de cursos gratuitos: descubra 5 para impulsar su carrera tecnológica

Le MIT a publié un certain nombre de cours gratuits : découvrez-en 5 pour booster votre carrière technologique

एमआईटी ने कई मुफ्त पाठ्यक्रम जारी किए हैं: अपने तकनीकी करियर को बढ़ावा देने के लिए 5 पाठ्यक्रमों के बारे में जानें

MIT が無料コースを多数公開: テクノロジーのキャリアを伸ばす 5 つのコースをご紹介します

MIT가 다양한 무료 강좌를 출시했습니다: 기술 경력을 향상하는 5가지를 찾아보세요

O MIT lançou vários cursos gratuitos: descubra 5 para impulsionar sua carreira tecnológica

MIT выпустил несколько бесплатных курсов: откройте для себя 5, которые помогут улучшить вашу техническую карьеру

MIT Bir Çok Ücretsiz Kurs Yayımladı: Teknoloji Kariyerinizi Yükseltecek 5 Kursu Keşfedin

MIT đã phát hành một loạt khóa học miễn phí: Khám phá 5 khóa học để thúc đẩy sự nghiệp công nghệ của bạn

麻省理工学院发布了一系列免费课程：探索 5 门课程，助你提升科技职业生涯

I know it can be hard to learn a new programming language. In this article, I want to share my plan with you. It’s a way to learn in eight weeks using videos, articles, and practice exercises. Exercises are very important because I think the best way to learn is by doing them. Python I’ve created this learning plan for people who don’t have much free time. You only need about 30–50 minutes a day and consistency. In my plan, I use the 80/20 principle, which will help you learn the most important things first and improve the rest through practice. For those who read this article to the end, I have prepared a learning tracking sheet to help you track your progress. https://youtu.be/gsnOgtnWqH4?si=mJ-Pfm7Ele-7tsK5&embedable=true Subscribe on my YouTube channel Why You Should Learn Python Python is a very popular programming language. People use it for web development, data science, artificial intelligence, scientific computing, cybersecurity, and more. Python’s syntax is simple and easy to understand, which makes it a great choice for beginners. Its simplicity helps newcomers learn the language quickly. Another important thing is career opportunities. Learning Python can lead to many job options in software development, data analysis, AI, machine learning, and more. What is the 80/20 Principle The 80/20 principle, also called the Pareto Principle, is a rule that says 80% of the results come from 20% of the efforts. If you learn the 20% of Python concepts that are most important and used the most, you can get 80% of what you need to be good at it. This means learning the basic rules, control structures, types of data, and main libraries. Instead of trying to learn everything about Python, focus on the most important parts that help you the most. How to Learn Python in 8 Weeks - The Plan Week 1: Python Basics Day 1: Introduction to Python Watch (first 10 minutes) Learn: Python Full Course for Beginners (Introduction section) Read: The Python Tutorial - Python.org Install Python and write your first script: print "Hello, World!" Exercise: Day 2: Python Variables and Data Types Watch (10 minutes) Learn: Python Variables and Data Types Read: Python Variables - W3Schools Practice creating variables of different data types: string, int, float, and bool. Exercise: Day 3: Basic Operators Watch (first 10 minutes) Learn: Python Operators Read: Python Operators - W3Schools Create simple expressions using arithmetic, comparison, and logical operators. Exercise: Day 4: Python Strings Watch (first 10 minutes) Learn: Python Strings and String Manipulation Read: Python Strings - W3Schools Practice with string concatenation, methods, and formatting. Exercise: Day 5: Control Flow - if, elif, else Watch (10 minutes) Learn: Python If Else Statements Read: Python If...Else - W3Schools Write a program that uses if, elif, and else statements to handle multiple conditions. Exercise: Day 6: Loops in Python Watch (10 minutes) Learn: Python Loops Read: Python While Loops - W3Schools Write a while loop that prints numbers from 1 to 10. Exercise: Day 7: Review and Practice Solve exercises on to review the week's concepts. Exercise: Exercism's Python Track Week 2: Data Structures Day 8: Lists Watch (10 minutes) Learn: Python Lists Read: Python Lists - W3Schools Create a list, add items, remove items, and iterate over the list. Exercise: Day 9: Dictionaries Watch (10 minutes) Learn: Python Dictionaries Read: Python Dictionaries - W3Schools Create a dictionary, add key-value pairs, access values, and use a loop to print all keys. Exercise: Day 10: Tuples Watch (10 minutes) Learn: Python Tuples Read: Python Tuples - W3Schools Create a tuple, access its elements, and understand the concept of immutability. Exercise: Day 11: Sets Watch (10 minutes) Learn: Python Sets Read: Python Sets - W3Schools Create a set, add and remove items, and perform basic set operations (union, intersection). Exercise: Day 12: Functions Watch (10 minutes) Learn: Python Functions Read: Python Functions - W3Schools Write a function that takes arguments and returns a value; call the function to test it. Exercise: Day 13: Modules Watch (10 minutes) Learn: Python Modules Read: Python Modules - W3Schools Import a module and use a function from it (e.g., module). Exercise: math Day 14-15: Review and Practice Tackle more complex exercises on . Exercise: HackerRank Python Practice Week 3: Advanced Data Structures and Comprehensions (Continued) Day 16: Dictionary Comprehensions Watch (10 minutes) Learn: Python Dictionary Comprehension Tutorial Read: Dictionary Comprehensions in Python - DataCamp Create dictionary comprehensions to transform and filter data. Exercise: Day 17: Set Comprehensions Explore set comprehensions through (Read for 10 minutes) Learn: Python Set Comprehensions Practice creating sets using set comprehensions with various conditions. Exercise: Day 18: File Handling Watch (10 minutes) Learn: Python File Handling Read: Python File Handling - W3Schools Practice opening, reading, writing, and appending to files in Python. Exercise: Day 19: Working with JSON in Python Watch (10 minutes) Learn: Python JSON Read: Python JSON - W3Schools Practice parsing JSON and converting Python objects to JSON format. Exercise: Day 20: Review and Practice Complete exercises related to this week's topics on platforms like or . Exercise: Exercism HackerRank Week 4: Functions and Error Handling Day 21: Functions Deep Dive Watch (10 minutes) Learn: Python Functions - Core Programming Read: Python Functions - Real Python Write functions with different types of parameters, default values, and keyword arguments. Exercise: Day 22: Lambda Functions Watch (10 minutes) Learn: Python Lambda Functions Read: Python Lambda - W3Schools Practice creating simple lambda functions for quick tasks. Exercise: Day 23: Error and Exception Handling Watch (10 minutes) Learn: Python Exception Handling Read: Python Try Except - W3Schools Write code blocks using try, except, else, and finally to handle errors gracefully. Exercise: Day 24: Modules and Packages Watch (10 minutes) Learn: Python Modules and Packages Read: Python Modules - Real Python Create a simple module and import it into another Python script. Exercise: Day 25-26: Intermediate Projects Start a small project to apply the concepts learned. This could be a simple data analysis using external libraries or a small web scraping script. Activity: Day 27: Review and Practice Review the week's learning and practice any concepts you find challenging. Utilize coding challenge platforms for more practice. Exercise: Week 5: Diving into Data Science with Python Learn to manipulate and visualize data using Python. Day 28-29: Get started with pandas by reading and experimenting with data frames. Learn & Practice: 10 Minutes to pandas Day 30-31: Explore data visualization with matplotlib by following the . Learn & Practice: Matplotlib Pyplot tutorial Day 32-33: Work on a data analysis project. Use a dataset from and perform data cleaning, manipulation, and visualization. Project: Kaggle Week 6: Web Development with Flask Build a basic web application using Flask. Day 34-35: Watch and set up a basic Flask project. Learn: Python Flask for Beginners Day 36-37: Expand your Flask app by adding new routes and views. Follow tutorials from the . Learn & Practice: Flask documentation Day 38-39: Create a simple web application like a to-do list or a personal diary app where users can add, delete, or edit entries. Project: Week 7: Object-Oriented Programming (OOP) Deepen your understanding of OOP in Python. Day 40-42: Dive into OOP concepts with . Practice by creating classes, objects, inheritance, and polymorphism. Learn & Practice: Real Python's OOP tutorial Day 43-44: Develop a simple command-line application (e.g., a contact book or an inventory system) using OOP principles. Project: Day 46: Go over the concepts and code from the week to consolidate your learning. Review: Week 8: Final Project and Exploration Apply all the concepts learned in a comprehensive project. Day 47-51: Start a project that interests you. It could be a more advanced data analysis project, a more complex web application, or an automation script. Plan, design, code, and test your project. Project: Day 52-53: Review your project, add documentation, and consider any additional features or improvements. Explore any libraries or frameworks that could enhance your project. Review & Extend: By the end of these eight weeks, you should have a solid foundation in Python and practical experience with a range of applications. My Personal Tips to Learn Python Effectively Use techniques like the Pomodoro Technique (study for 25 minutes, then take a 5-minute break) to maintain focus and avoid burnout. Engage with Python communities on platforms like Stack Overflow or Reddit's r/learnpython to get insights Consistency is Key. Even if it's just 30 minutes, do it daily without fail. Practice every day Learning Tracking Sheet You can download a tracking sheet from this link. It will help you track your progress and stay motivated. Download Learning Tracking Sheet That’s it! :) If you like this article, please don’t forget to share it with your friends! Thanks! Also published . here

HACKERRANK

hackerrank.com

1K-5K employees

Since 2012

COMPANY RANKING

HACKERRANK

EVERGREEN INDEX #5063

Representing this company? Click here to claim and customize this page!

HackerRank WIKI

Apply to get your Tech Company News Page live on HackerNoon.com today!

HACKERRANK

hackerrank.com

1K-5K employees

Since 2012

COMPANY RANKING

HACKERRANK

EVERGREEN INDEX #5063

RELATED COMPANIESRANK

STORIES ABOUT HACKERRANK

Representing this company? Click here to claim and customize this page!

HackerRank WIKI

Apply to get your Tech Company News Page live on HackerNoon.com today!