Devmaxx vs Probability Practice

System design is becoming one of the most important skills for software engineers. Many companies now require a dedicated system design interview, and your career growth often depends on your ability to design large-scale systems. Devmaxx gives you one focused system design question every day across databases, infrastructure, APIs, theory, and product to help you learn these skills and stay sharp. Each question takes about two minutes, and includes a resource to learn more about the subject. What you’ll get:
 • A new system design question daily
 • Clear explanations for every answer
 • Breakdown of the correct answer
 • Access to previous questions
 • Linked resources to go deeper
 • Access to a private community of developers learning and building the same things as you • Progress tracking to monitor growth If you’re preparing for interviews, this builds daily momentum. If you’re already working as an engineer, this keeps your fundamentals sharp. Open the app. Answer one question. Land the offer. * All features described above require a subscription Terms of Service: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

Probability Practice is an educational application designed to help students understand and practice probability concepts through structured quizzes and mock tests. The app provides topic-wise questions covering fundamental and advanced probability topics commonly studied in mathematics and statistics courses. Students can practice conceptual questions, solve numerical problems, and monitor their performance using statistics. The app supports independent learning and systematic revision of probability concepts. Topics Included 1. Basic Concepts of Probability Random experiments, sample space, events, simple and compound events, and equally likely outcomes. 2. Types of Events Mutually exclusive events, exhaustive events, complementary events, independent and dependent events, and equally probable events. 3. Classical Probability Classical probability definition, probability value range, certain and impossible events, complement rule, and basic probability problems. 4. Addition Theorem of Probability Addition rule, mutually exclusive events, general addition theorem, union and intersection of events, and related problems. 5. Conditional Probability Definition of conditional probability, conditional probability formula, dependent and independent events, multiplication rule, and problem solving. 6. Bayes’ Theorem Concept of Bayes’ theorem, prior and posterior probabilities, likelihood, total probability rule, and applications. 7. Random Variables Definition of random variables, discrete and continuous random variables, probability distributions, probability mass functions, and probability density functions. 8. Mathematical Expectation Expected value, properties of expectation, variance, standard deviation, and expectation-related problems. 9. Probability Distributions Bernoulli trials, binomial distribution, mean and variance of binomial distribution, Poisson distribution, and distribution-based numerical problems. 10. Applications of Probability Applications in games, statistics, risk analysis, reliability analysis, decision theory, and real-life situations. Key Features Topic-wise probability practice quizzes Mock tests for overall assessment Daily quiz for regular practice Performance statistics to track progress Structured topics for systematic learning Simple and distraction-free interface Probability Practice is suitable for students studying probability in mathematics, statistics, and related fields who want structured practice and regular revision.