Coding Interview Resources

Types of API ✅

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Coding Interview Resources

Here are some of the top Python frameworks for web development:

1. Django: A high-level framework that encourages rapid development and clean, pragmatic design. It includes a built-in admin interface, ORM, and many other features.

2. Flask: A micro-framework that is lightweight and easy to set up, making it a popular choice for small to medium-sized projects. It provides the essentials and leaves the rest to extensions.

3. FastAPI: Known for its high performance and ease of use, FastAPI is ideal for building APIs. It supports asynchronous programming and is built on standard Python type hints.

4. Pyramid: A flexible framework that can be used for both small applications and large-scale projects. It provides a minimalistic core with optional add-ons for added functionality.

5. Tornado: Designed for handling large numbers of simultaneous connections, making it a good choice for applications that require real-time capabilities.

6. Bottle: A very lightweight micro-framework that is perfect for small web applications. It is contained in a single file and has no dependencies other than the Python Standard Library.

7. CherryPy: An object-oriented framework that allows developers to build web applications in a similar way to writing other Python programs. It is minimalistic and easy to use.

8. Web2py: A full-stack framework that includes an integrated development environment, a web-based interface, and a web server. It emphasizes ease of use and rapid development.

9. Sanic: An asynchronous framework built for speed. It is designed to handle large volumes of traffic and is well-suited for building fast APIs.

10. Falcon: Another framework focused on building fast APIs. Falcon is lightweight and focuses on performance and reliability.

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Coding Interview Resources

DSA Handwritten Notes

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Coding Interview Resources

Typical C++ interview questions sorted by experience

Junior:
- What are the key features of object-oriented programming in C++?
- Explain the differences between public, private, and protected access specifiers in C++.
- Distinguish between function overloading and overriding in C++.
- Compare and contrast abstract classes and interfaces in C++.
- Can an interface inherit from another interface in C++?
- Define the static keyword in C++ and its significance.
- Is it possible to override a static method in C++?
- Explain the concepts of polymorphism and inheritance in C++.
- Can constructors be inherited in C++?
- Discuss pass-by-reference and pass-by-value for objects in C++.
- Compare == and .equals for string comparison in C++.
- Explain the purposes of the hashCode() and equals() functions.
- What does the Serializable interface do? How is it related to Parcelable in Android?
- Differentiate between Array and ArrayList in C++. When would you use each?
- Explain the distinction between Integer and int in C++.
- Define ThreadPool and discuss its advantages over using simple threads.
- Differentiate between local, instance, and class variables in C++.

Mid:
- What is reflection in C++?
- Define dependency injection and name a few libraries. Have you used any?
- Explain strong, soft, and weak references in C++.
- Interpret the meaning of the synchronized keyword.
- Can memory leaks occur in C++?
- Is it necessary to set references to null in C++?
- Why is a String considered immutable?
- Discuss transient and volatile modifiers in C++.
- What is the purpose of the finalize() method?
- How does the try{} finally{} block work in C++?
- Explain the difference between object instantiation and initialization.
- Under what conditions is a static block executed in C++?
- Why are generics used in C++?
- Mention some design patterns you are familiar with. Which do you typically use?
- Name some types of testing methodologies in C++.

Senior:
- Explain how std::stoi (string to integer) works in C++.
- What is the "double-check locking" problem, and how can it be solved in C++?
- Differentiate between StringBuffer and StringBuilder in C++.
- How is StringBuilder implemented to avoid the immutable string allocation problem?
- Explain the purpose of the Class.forName method in C++.
- Define Autoboxing and Unboxing in C++.
- What's the difference between Enumeration and Iterator in C++?
- Explain the difference between fail-fast and fail-safe in C++.
- What is PermGen in C++?
- Describe a Java priority queue.
- How is performance influenced by using the same number in different types: Int, Double, and Float?
- Explain the concept of the Java Heap.
- What is a daemon thread?
- Can a dead thread be restarted in C++?

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Coding Interview Resources

### Learn CSS Easily 🤩

Here's all you need to get started 🙌

1. Introduction to CSS
- What is CSS?
- CSS Syntax and Selectors
- Including CSS in HTML (Inline, Internal, External)

2. Selectors and Specificity
- Element, Class, and ID Selectors
- Attribute Selectors
- Pseudo-classes and Pseudo-elements
- Understanding Specificity

3. Box Model
- Content, Padding, Border, and Margin
- Box Sizing (content-box vs. border-box)

4. Layout Techniques
- Display Property (block, inline, inline-block)
- Positioning (static, relative, absolute, fixed, sticky)
- Float and Clearfix

5. Flexbox
- Creating a Flex Container
- Flex Direction, Justify Content, Align Items
- Flex Item Properties

6. Grid Layout
- Creating a Grid Container
- Defining Rows and Columns
- Grid Item Placement

7. Styling Text
- Font Properties (font-family, font-size, font-weight)
- Text Alignment, Line Height, and Letter Spacing
- Text Decoration and Transform

8. Colors and Backgrounds
- Color Values (hex, RGB, RGBA, HSL)
- Background Properties (color, image, position, size)
- Gradients (linear and radial)

9. Borders and Shadows
- Border Properties (width, style, color)
- Box Shadow and Text Shadow

10. Responsive Design
- Media Queries
- Mobile-First Approach
- Fluid Layouts and Viewport Units

11. Transitions and Animations
- CSS Transitions
- Keyframe Animations
- Animation Properties

12. CSS Variables
- Defining and Using CSS Variables
- Benefits of CSS Variables

13. CSS Frameworks
- Introduction to Popular Frameworks (Bootstrap, Tailwind CSS)
- Using Frameworks for Rapid Development

14. Browser Compatibility
- Vendor Prefixes
- Tools for Testing and Compatibility

15. Best Practices
- Organizing CSS Code
- Using Comments
- Avoiding !important

16. Preprocessors
- Introduction to SASS/SCSS
- Variables, Nesting, and Mixins

17. Accessibility in CSS
- Designing for Accessibility
- Color Contrast and Font Sizes

18. Debugging CSS
- Using Browser Developer Tools
- Common CSS Issues and Fixes

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Coding Interview Resources

Important skills every self-taught developer should master:

💻 HTML, CSS & JavaScript — the foundation of web development

⚙️ Git & GitHub — track changes and collaborate effectively

🧠 Problem-solving — break down and debug complex issues

🗄️ Basic SQL — manage and query data efficiently

🧩 APIs — fetch and use data from external sources

🧱 Frameworks — like React, Flask, or Django to build faster

🧼 Clean Code — write readable, maintainable code

📦 Package Managers — like npm or pip for managing libraries

🚀 Deployment — host your projects for the world to see

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Coding Interview Resources

Questions & Answers for Data Analyst Interview

Question 1: Describe a time when you used data analysis to solve a business problem.
Ideal answer: This is your opportunity to showcase your data analysis skills in a real-world context. Be specific and provide examples of your work. For example, you could talk about a time when you used data analysis to identify customer churn, improve marketing campaigns, or optimize product development.

Question 2: What are some of the challenges you have faced in previous data analysis projects, and how did you overcome them?
Ideal answer: This question is designed to assess your problem-solving skills and your ability to learn from your experiences. Be honest and upfront about the challenges you have faced, but also focus on how you overcame them. For example, you could talk about a time when you had to deal with a large and messy dataset, or a time when you had to work with a tight deadline.

Question 3: How do you handle missing values in a dataset?
Ideal answer: Missing values are a common problem in data analysis, so it is important to know how to handle them properly. There are a variety of different methods that you can use, depending on the specific situation. For example, you could delete the rows with missing values, impute the missing values using a statistical method, or assign a default value to the missing values.

Question 4: How do you identify and remove outliers?
Ideal answer: Outliers are data points that are significantly different from the rest of the data. They can be caused by data errors or by natural variation in the data. It is important to identify and remove outliers before performing data analysis, as they can skew the results. There are a variety of different methods that you can use to identify outliers, such as the interquartile range (IQR) method or the standard deviation method.

Question 5: How do you interpret and communicate the results of your data analysis to non-technical audiences?
Ideal answer: It is important to be able to communicate your data analysis findings to both technical and non-technical audiences. When communicating to non-technical audiences, it is important to avoid using jargon and to focus on the key takeaways from your analysis. You can use data visualization tools to help you communicate your findings in a clear and concise way.
In addition to providing specific examples and answers to the questions, it is also important to be enthusiastic and demonstrate your passion for data analysis. Show the interviewer that you are excited about the opportunity to use your skills to solve real-world problems.

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