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"Do you have any questions to ask?" - Whenever you hear this line from the interviewer then rather than being blank or silent, you should ask several worthwhile questions to showcase your interest and zeal towards the job opportunity. However, you should only ask relevant and meaningful questions as a worthless or irrelevant question from your side can cost you a lot.&nbsp; To make things easier for you, in this video, we're going to discuss several genuine and smart questions that you can consider asking the interviewer in your upcoming interviews.For questions read article- <a href="https://www.geeksforgeeks.org/smart-questions-to-ask-in-a-job-interview/">https://www.geeksforgeeks.org/smart-questions-to-ask-in-a-job-interview/</a>&nbsp;&nbsp;

10 Smart Questions To Ask Your Interviewer | Interview Preparation for Tech Companies

We're now witnessing a large influx of data scientists from non-computer streams. But does it take more efforts? How important is a CS degree while pursuing this career, as a non-STEM person?Watch Ms. Pritanshi Khurana, a Data Artist at Enquero talk about her inspiring journey from a non-CS background to Data Science.Also read: <a href="https://www.geeksforgeeks.org/how-to-become-data-scienctist-if-you-are-non-cs-student/">https://www.geeksforgeeks.org/how-to-become-data-scienctist-if-you-are-non-cs-student/</a>&nbsp;

A Data Scientist without CS background : Is it possible?

The backbone of many coding interviews, Data Structures &amp; Algorithms are imperative to learn in order to be good at problem-solving. Mastering its concepts shall enable you to become a better programmer and hence, land you your dream job!Listen to Rahul Singla, mentor at GeeksforGeeks talk about how DSA can be turned into one’s advantage. &nbsp;Don't forget to check out our article: <a href="https://www.geeksforgeeks.org/how-can-one-become-good-at-data-structures-and-algorithms-easily/">https://www.geeksforgeeks.org/how-can-one-become-good-at-data-structures-and-algorithms-easily/</a>&nbsp;

How to level up your Data Structures & Algorithms

This webinar covers everything you need to scale up your knowledge of System Design. Examine practical skills that could help you land your dream job + provide you with intricate details to get a deeper understanding of the concepts!Also read: <a href="https://www.geeksforgeeks.org/system-design-tutorial/">https://www.geeksforgeeks.org/system-design-tutorial/</a>&nbsp;

Enhance your System Design Skills

Visual Studio Code is the most widely used code editor amongst developers mainly due to all those cool in-built features like smart code completion, debugging, version control, etc. that make things much easier for the developers. Also, the features and advantages of VS Code can be enhanced to a greater extent with the help of numerous VS Code extensions. In this video, we're going to discuss the top 5 Visual Studio Code Extensions that you can consider installing and using in 2021 to boost your efficiency and productivity.Check Out the Related Articles: <a href="https://www.geeksforgeeks.org/top-6-extensions-for-web-developers-in-vscode/">https://www.geeksforgeeks.org/top-6-extensions-for-web-developers-in-vscode/</a>&nbsp;

Top 5 VS Code Extensions

Python is currently one of the most versatile and demanded programming languages. In terms of usability, Python is limitless. This interpreted, high-level, general-purpose programming language is extensively being used in Web Development, Machine Learning &amp; Artificial Intelligence, Data Science, and various other areas. So, before getting started with Python, you all are strongly recommended to first know about the vast applications of Python in the tech world to make the most out of it. Here, in this video, we're going to discuss what all you can do with PYTHON.Check Out the Related Article: <a href="https://www.geeksforgeeks.org/what-is-python/">https://www.geeksforgeeks.org/what-is-python/</a>&nbsp;

What Can You Do With Python? | Applications of Python

You need to know that System Design Interviews are not like Coding Interviews where there are one or two definite solutions for the given problem - instead System Design Interviews are the subjective ones and there can be so many solutions for a particular problem depending on how you approach the problem, how you'll apply your knowledge to actually build a system, etc. And this is why cracking System Design interviews is not an easy-to-go task.But, to make things a bit easier for you, here we have an expert Yogita Sharma with us who is currently working as an SDE II at Careem (Uber) - she will tell you some most worthwhile and effective tips that will surely help you to ace in your upcoming System Design Interviews.&nbsp;For additional details check out: <a href="https://www.geeksforgeeks.org/top-10-system-design-interview-questions-and-answers/">https://www.geeksforgeeks.org/top-10-system-design-interview-questions-and-answers/</a>&nbsp;

Tips For System Design Interview | Interview Preparation

In this video, we're going to discuss how to convert a Python (.py) file to a .exe file. When you convert a Python file to a .exe file, it basically allows the other individuals to run your Python script without actually installing Python on their respective systems. Here, we'll see two ways to do this particular thing - one is via using the pyinstaller library and another is via using auto-py-to-exe library. So, let's get started now.Check Out the Related Article: <a href="https://www.geeksforgeeks.org/convert-python-script-to-exe-file/">https://www.geeksforgeeks.org/convert-python-script-to-exe-file/</a>&nbsp;

How to Convert Any Python File to .exe?

Android, currently the most popular and open-source operating system for mobile devices, is used globally nowadays. And that's perhaps the major reason why a majority of individuals are eager to learn Android App development. But do you know that many small individuals are already earning a lot of money just by developing a single android application? Yes, and in this video, we're going to discuss the most effective ways through which you can also earn money from your android apps. So, let's get started now.Check Out the Related Article: <a href="https://www.geeksforgeeks.org/9-best-ways-to-earn-money-from-your-android-apps/">https://www.geeksforgeeks.org/9-best-ways-to-earn-money-from-your-android-apps/</a>&nbsp;

How to Earn Money From Your Android Apps?

Python and R Language are both very useful, open-source programming languages and used extensively for Data Science &amp; Machine Learning. Though to opt for the particular one among these two is not an easy-to-go task, especially for beginners. But to make things a bit convenient for you, here in this video, we'll be comparing Python and R Language based on various parameters like usability, flexibility, visualization libraries, ease of learning, etc. So, let's get started now.Check out the Related Article: <a href="https://www.geeksforgeeks.org/r-vs-python/">https://www.geeksforgeeks.org/r-vs-python/</a>&nbsp; &nbsp;

Python vs R - Which One is Best For ML and Data Science? | GeeksforGeeks

Explore how to recognize which data structure to use in a question with our comprehensive video. This guide is perfect for computer science students, software developers, and anyone interested in mastering data structure selection for solving problems effectively.In this video, you'll learn:Understanding Data Structures: Gain a foundational understanding of various data structures, including arrays, linked lists, stacks, queues, hash tables, trees, and graphs. Each data structure has unique properties and use cases.Key Considerations for Selecting a Data Structure:<ul><li>Data Characteristics: Understand the nature of the data, including its size, type, and relationships. For example, consider if the data is linear or hierarchical.</li><li>Operations: Identify the operations that need to be performed on the data, such as insertion, deletion, searching, and traversal. Different data structures optimize different operations.</li><li>Time Complexity: Evaluate the time complexity of operations for different data structures to choose the one that offers the best performance for your needs.</li><li>Space Complexity: Consider the memory usage of different data structures, especially when dealing with large datasets or limited memory environments.</li></ul>Steps to Recognize the Appropriate Data Structure:Analyze the Problem:<ul><li>Carefully read and understand the problem statement. Identify the key requirements and constraints.</li><li>Determine what data needs to be stored and the operations that will be performed frequently.</li></ul>Match Data Characteristics to Data Structures:<ul><li>Map the characteristics of the data and required operations to the properties of various data structures.</li><li>For example, use arrays for indexed access, linked lists for dynamic insertion and deletion, stacks for LIFO operations, queues for FIFO operations, hash tables for fast lookups, trees for hierarchical data, and graphs for networked relationships.</li></ul>Evaluate Trade-offs:<ul><li>Consider the trade-offs between different data structures. No single data structure is optimal for all scenarios.</li><li>Assess the balance between time complexity, space complexity, and ease of implementation.</li></ul>Examples of Data Structure Selection:Arrays:<ul><li>Use arrays for problems that require fast indexed access and where the size of the data is known in advance.</li></ul>Linked Lists:<ul><li>Use linked lists for problems that involve frequent insertions and deletions, and where the size of the data is dynamic.</li></ul>Stacks and Queues:<ul><li>Use stacks for problems that require LIFO (Last In, First Out) operations, such as expression evaluation.</li><li>Use queues for problems that require FIFO (First In, First Out) operations, such as scheduling tasks.</li></ul>Hash Tables:<ul><li>Use hash tables for problems that require fast lookups and insertions, such as caching and indexing.</li></ul>Trees and Graphs:<ul><li>Use trees for problems that involve hierarchical data, such as file systems and organizational charts.</li><li>Use graphs for problems that involve networked data, such as social networks and shortest path algorithms.</li></ul>Handling Edge Cases: Tips on managing various edge cases such as:<ul><li>Dynamic Data: Choose data structures that can handle dynamic changes in data size and content.</li><li>Complex Relationships: Use advanced data structures like trees and graphs for complex relationships between data elements.</li></ul>Applications and Real-World Use: Discuss real-world applications of different data structures in software development, such as in databases, operating systems, and web development.By the end of this video, you’ll be well-equipped to recognize which data structure to use in various problem scenarios, enhancing your problem-solving skills and your ability to implement efficient solutions.For a comprehensive guide on how to recognize which data structure to use in a question, including detailed explanations and practical tips, check out our full video at <a href="https://www.geeksforgeeks.org/how-to-recognize-which-data-structure-to-use-in-a-question/">https://www.geeksforgeeks.org/how-to-recognize-which-data-structure-to-use-in-a-question/</a>.This video will not only improve your understanding of data structures but also prepare you to select the most appropriate data structure for solving complex problems in your software development projects.

How to recognize which Data Structure to use in a question? | DSA Tips and Tricks

In this video, we will be discussing how to become a full stack developer in 2023. If you want to start your journey to become a full stack developer then this video is just for you. Through this video, we have covered from where to start &amp; what should be the step-by-step guide to begin your journey.What is frontend development &amp; what is backend development, what is the tech stack you should begin with, &amp; what are the database you should know, etc, we have covered all in this video.

How to become a Full Stack Developer?

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