Coding Interview Resources
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This channel contains the free resources and solution of coding problems which are usually asked in the interviews.

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Starting with coding is a fantastic foundation for a tech career. As you grow your skills, you might explore various areas depending on your interests and goals:

β€’ Web Development: If you enjoy building websites and web applications, diving into web development could be your next step. You can specialize in front-end (HTML, CSS, JavaScript) or back-end (Python, Java, Node.js) development, or become a full-stack developer.

β€’ Mobile App Development: If you're excited about creating apps for smartphones and tablets, you might explore mobile development. Learn Swift for iOS or Kotlin for Android, or use cross-platform tools like Flutter or React Native.

β€’ Data Science and Analysis: If analyzing and interpreting data intrigues you, focusing on data science or data analysis could be your path. You'll use languages like Python or R and tools like Pandas, NumPy, and SQL.

β€’ Game Development: If you’re passionate about creating games, you might explore game development. Languages like C# with Unity or C++ with Unreal Engine are popular choices in this field.

β€’ Cybersecurity: If you're interested in protecting systems from threats, diving into cybersecurity could be a great fit. Learn about ethical hacking, penetration testing, and security protocols.

β€’ Software Engineering: If you enjoy designing and building complex software systems, focusing on software engineering might be your calling. This involves writing code, but also planning, testing, and maintaining software.

β€’ Automation and Scripting: If you're interested in making repetitive tasks easier, scripting and automation could be a good path. Python, Bash, and PowerShell are popular for writing scripts to automate tasks.

β€’ Artificial Intelligence and Machine Learning: If you're fascinated by creating systems that learn and adapt, exploring AI and machine learning could be your next step. You’ll work with algorithms, data, and models to create intelligent systems.

Regardless of the path you choose, the key is to keep coding, learning, and challenging yourself with new projects. Each step forward will deepen your understanding and open new opportunities in the tech world.
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