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SciPy tutorial for beginners
SciPy, Python's essential library for scientific computing, offers optimized mathematical functions, data handling, and powerful packages for tasks like linear algebra, optimization, and clustering. Scientists utilize SciPy for various scientific applications.
Maham Amjad
Nov 19 · 2024
Efficient algorithms: Your guide to mastering complexity
This blog explores algorithm complexity, covering Big O, Big Omega, and Big Theta, along with time and space complexities. It delves into techniques to enhance efficiency, such as optimizing algorithms, selecting the right data structures, and leveraging algorithmic paradigms, offering a comprehensive guide to mastering algorithmic challenges.
Muhammad Hamza
Nov 18 · 2024
Top 5 System Design Interview questions at Apple
This blog contains the top 5 design problems that are asked in the System Design Interview at Apple. For each problem, we provide the functional and nonfunctional requirements, high-level design, and the system's workflow.
Fahim ul Haq
Nov 15 · 2024
Using System Design concepts in React: A primer
On the face of it, System Design and React seems to be completely unrelated. However, in reality, there are several front-end system design concepts which are integral to optimal system design which can also be applied to front-end design in React. In this blog, we connect System Design and React to help illustrate these concepts.
Muaz Niazi
Nov 15 · 2024
Time management strategies for coding interview
Mastering time management is critical for excelling in coding interviews, where preparation involves tackling multiple formats and various technical topics. This blog dives deep into essential coding interview preparation strategies, including understanding the different interview types like system design, technical coding, and behavioral rounds. It also covers setting achievable goals, creating an optimized study schedule, and prioritizing topics such as data structures, algorithms, and problem-solving techniques. With tips on leveraging top interview preparation resources, tracking progress, and staying flexible, this guide ensures you’re equipped for success in your next coding interview.
Dian Us Suqlain
Nov 15 · 2024
Understanding data fetching in Next.js
This blog explores data fetching in Next.js, highlighting how server-side and client-side techniques optimize performance and SEO. Through caching, sequential and parallel fetching strategies, and Incremental Static Regeneration (ISR), Next.js enables fast, dynamic, and scalable applications.
Farrukh Rasool
Nov 15 · 2024
10 common binary search interview questions
Binary search is a cornerstone algorithm in technical interviews, frequently used to assess a candidate's problem-solving and optimization skills. This blog dives into ten common binary search interview questions asked by top tech companies like Google, Amazon, and Microsoft. Each question is carefully selected to demonstrate variations and extensions of the basic binary search technique, ranging from simple tasks like finding the insert position in an array to complex challenges like identifying the median of two sorted arrays. With detailed explanations, step-by-step solutions, and insights into problem difficulty, this guide will prepare you to confidently tackle binary search problems in coding interviews.
Adeel Qayyum
Nov 14 · 2024
Is C++ hard to learn?
There is no quick way to learn any programming language, let alone C++. Start learning C++ without hesitation. It’s simpler than people say.
Maham Amjad
Nov 14 · 2024
Format strings in Python 3: A quick guide
Python 3 improves string formatting with the introduction of f-strings, specifically in Python 3.6. Before Python 3, developers primarily used the % operator or the str.format() method, both of which had their own limitations.
Maham Amjad
Nov 13 · 2024