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    DSA in Python: From Zero to Offer book cover by Shreyash Tripathi

    Job-Ready Series · Job-Ready Series, Python edition

    DSA in Python: From Zero to Offer

    by Shreyash Tripathi · Full-Stack Developer & UI/UX Engineer

    Start from Python basics, learn 20 patterns, and crack coding rounds. Every problem in simple steps: brute force, the key trick, a dry run, clean code and Big-O.

    • Python basics included
    • 20 problem-solving patterns
    • Brute force to optimal, with dry runs
    Python edition edition · 406 pages · PDF
    download_free_preview request_full_book

    Free preview: first 2 chapters (43 pages). Full book: free on request for now, sent by email.

    What's inside

    25 chapters and sections. The ones marked free are in the preview.

    1. 0. Python Basics for DSA (Start Here)free
    2. 1. How to Approach Any DSA Problemfree
    3. 2. Time and Space Complexity
    4. 3. Arrays, Strings and Prefix Sums
    5. 4. Two Pointers
    6. 5. Sliding Window
    7. 6. Hashing
    8. 7. Binary Search
    9. 8. Sorting and Intervals
    10. 9. Recursion and Backtracking
    11. 10. Linked Lists
    12. 11. Stacks, Queues and Monotonic Stack
    13. 12. Trees and Binary Search Trees
    14. 13. Heaps and Priority Queues
    15. 14. Graphs I: BFS, DFS and Topological Sort
    16. 15. Graphs II: Shortest Paths, Union-Find and MST
    17. 16. Dynamic Programming I: Foundations
    18. 17. Dynamic Programming II: Grids, Strings and Subsequences
    19. 18. Greedy Algorithms
    20. 19. Tries, Bit Manipulation and Math Tricks
    21. 20. Must-Do Problem Bank and Pattern Cheat Sheet
    22. Appendix A: Pattern Recognition Cheat Sheet
    23. Appendix B: Big-O and Python Collections Cheat Sheet
    24. Appendix C: Python Code Templates
    25. Appendix D: Glossary

    Who this book is for

    • Students in placement season preparing for campus drives and off-campus interviews
    • Students applying for internships who want one complete, simple resource
    • Developers preparing for a job switch who need a fast but complete revision

    Study plan for placements

    1. 01 Steady pace: one chapter a day takes about 25 days.
    2. 02 Revision pace: two chapters a day takes about 13 days.
    3. 03 Read the worked examples, then answer the interview questions without looking before checking the answers.

    DSA (Python): questions students ask

    Is DSA in Python: From Zero to Offer good for placement preparation?

    Yes, it was written for students preparing for placements, internships and interviews. It starts from the basics (Python Basics for DSA (Start Here), How to Approach Any DSA Problem, Time and Space Complexity) and goes all the way to Must-Do Problem Bank and Pattern Cheat Sheet, with interview questions with answers.

    Is there a free PDF of DSA in Python: From Zero to Offer?

    Yes. The free preview PDF on this page has the first 2 chapters (43 pages). The full book is free on request for now: use the "request full book" button and it's sent to you by email.

    How long does it take to finish DSA (Python)?

    Steady pace: one chapter a day takes about 25 days. Revision pace: two chapters a day takes about 13 days.

    Who wrote DSA in Python: From Zero to Offer?

    Shreyash Tripathi, a Full-Stack Developer and UI/UX Engineer from India. He wrote the Job-Ready Series after struggling with scattered study material before his own placements, to give students one clear resource per subject.

    Why I wrote these books

    Before placements, my problem wasn't a lack of material. It was too much of it. A playlist for DBMS, a PDF for OS, three websites for DSA, and a new "must-watch" video every day. I kept switching sources, kept getting distracted, and never knew if I had covered what interviews actually ask.

    I wrote them for students and early-career developers who want a serious internship or job and are tired of jumping between ten sources. Start with the free preview. If it helps, ask me for the full book.

    — Shreyash Tripathi

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