Interview preparation for Python and DSA calls for both theoretical understanding and practical expertise. You can prepare by following these suggestions:

Review the fundamentals:

Go through the fundamentals of linked lists, trees, graphs, sorting, and searching algorithms as well as other data structures and algorithms. Study the principles of dynamic programming as well. Make sure you are familiar with typical interview questions and how to answer them.

If you are not confident about the fundamentals I would recommend you to take up Data structures and algorithms training in Bangalore, the institute which I found to be the best one is Tutort Academy.

Practice coding issues:

Practicing coding issues is one of the best strategies to get ready for technical interviews. You may hone your coding skills by solving a range of algorithmic puzzles on websites like LeetCode, HackerRank, and Codeforces. Concentrate on resolving difficulties of a medium to difficult level.

Python programming lessons:

Make sure you understand Python thoroughly. programming, including data types, control structures, object-oriented programming (OOP) principles, and handling exceptions. Refresh your memory on Python  Collections Framework.

How to fix issues in Python:

Python may be used to solve algorithmic challenges, so practice utilizing it to solve problems.

Take part in dummy interviews: By taking part in practice interviews, you may increase your confidence and pinpoint your areas for growth. You can utilize online tools like Gainlo or InterviewBit to discover mock interview companions.

Keep current: Keep abreast of the most recent DSA, DP, and Python trends and advancements. Follow industry blogs, and go to conferences and webinars.

Recognize the complexity of space and time:

You should be aware of the time and space complexity of algorithms because it plays a significant role in defining the effectiveness of your code. You should be able to evaluate an algorithm's time and space complexity and adjust your code as necessary. Going through DSA courses can help you a lot with this

Be able to describe your thinking:

In technical interviews, the interviewer wants to know how you approach and tackle a problem. Be prepared to describe your reasoning and offer succinct, unambiguous solutions.

Find out how to improve your solutions: You can be asked to optimize your code or offer alternatives during an interview. Know the many methods of optimization, including greedy algorithms, dynamic programming, and memoization.

Develop your communication abilities:

Technical interviews require excellent communication abilities. Be prepared to ask questions and clear up any doubts as you get more adept at articulating your thoughts clearly and succinctly.

In conclusion, preparing for Interviews using Python and DSA calls for both theoretical and practical expertise. The fundamentals should be reviewed, coding problems should be practiced, Python programming should be learned, mock interviews should be taken part in, time and space complexity should be understood, your thought process should be explained, your solutions should be optimized, and communication skills should be honed. You'll be well-prepared to face technical interviews if you go by this advice.