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Learning Data Structures and Algorithms (DSA) is still necessary, even though modern programming languages provide powerful built-in libraries. While libraries make development faster and reduce the need to implement data structures from scratch, understanding DSA helps you choose the right data structure, write efficient code, analyze performance, and solve complex problems that libraries alone cannot address. It is especially important for technical interviews and software engineering roles. The best approach is to learn the fundamentals of DSA while using built-in libraries in real-world projects, combining theoretical knowledge with practical development skills.

Artificial Intelligence (AI) will likely have the biggest impact by 2035 because it can improve healthcare, education, transportation, and business operations.AI and Machine Learning will automate repetitive tasks, increase productivity, and help solve complex problems faster than ever before.
Quantum Computing could revolutionize scientific research, cybersecurity, and drug discovery by performing calculations beyond the capabilities of current computers. Renewable Energy Technologies such as advanced solar panels and energy storage systems will play a major role in creating a sustainable future.
Biotechnology and Gene Editing may transform healthcare by enabling personalized treatments and potentially curing genetic diseases. Robotics and Automation will change industries such as manufacturing, agriculture, and logistics by improving efficiency and reducing costs.
The Internet of Things (IoT) will connect billions of devices, making homes, cities, and industries smarter and more efficient.
Extended Reality (AR/VR) could reshape education, entertainment, training, and remote collaboration experiences.
Artificial Intelligence will have the biggest impact by 2035 because it is advancing rapidly and influencing almost every sector, including healthcare, education, transportation, finance, and communication