Coding Interview Resources

The US economy is making a once-in-a-lifetime shift to digital tech. Newsletters replace newspapers, the grid is getting smarter, and Zoom lets people work from home instead of a polluting commute!✨ So if you too want to find a remote job, we invite you to launch a new career in tech!👩‍💻Build products that matter, earn a high salary💰, and start a fresh new chapter in your life. And for a limited time, we have special Earth Day offers on our career training! Don’t wait to make a difference and join Careerist for up to 50% off🔥❓ Ready to get started? Apply by the link Careerist Training programs: ▶️ April 22 | QA Automation  ▶️ April 26 | Manual QA ▶️ May 1 | Sales Engineering ▶️ May 5 | UX Design  ▶️ May 22 | Systems Engineering 

⁉️Are You Tired of Poverty Wages⁉️ Do you really think your $1500 "steady" job is decent? I make $2000 or more a day on bugs in websites 👨‍💻  👉🏼 Write to me and I'll tell you how I do it  (you do not need to pay me in advance, I take 15% after the result, all on trust!) 👇🏼Sign up, I'll give you a cool hack how to get an extra gift 🎁👇🏼 https://t.me/+PaKR4DGLXaY1ZjQ9 https://t.me/joinchat/PaKR4DGLXaY1ZjQ9

⚡️Great news! How do sneaky people make money sitting at home in 2023?⤵️ In this channel, a guy using bugs sites, makes algorithms with which you can legally get a normal cash 💵!  Hurry and subscribe to his channel, while it is available 👇🏼 https://t.me/+2F_HWnmmvCIwNjk1 https://t.me/joinchat/2F_HWnmmvCIwNjk1

Important Interview Questions with Answers 💻✅

To learn data structures and algorithms in Python, you can follow these steps: 1. Start with the basics: Learn about the most common data structures, such as arrays, linked lists, stacks, queues, trees, and graphs. Learn how to implement them in Python and understand their time and space complexities. 2. Study algorithms: Study the most common algorithms for searching, sorting, and traversing data structures. Understand their time and space complexities and the trade-offs between different algorithms. 3. Practice, practice, practice: The more you practice implementing data structures and algorithms, the better you will get at it. You can start by solving problems on websites like LeetCode and HackerRank, or by working on small projects of your own. 4. Read and learn from others: Read articles and blogs written by experts in the field, and learn from their experiences and insights. Follow the work of other Python developers on Github, and see how they use data structures and algorithms in their projects.

Common Job Interview questions 😊