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Learn how to Crack Python code Interviews taught by Googler
Rating: 5.0 out of 5(2 ratings)
1,216 students
Created byRajiv Pujala
Last updated 8/2025
English

What you'll learn

  • Master Python fundamentals and advanced data structures for optimal problem-solving.
  • Develop robust algorithmic thinking skills to tackle diverse interview challenges effectively.
  • Efficiently analyze and optimize code for time and space complexity (Big O notation).
  • Confidently implement solutions for common interview patterns in strings, arrays, and lists.
  • Gain extensive hands-on experience by independently solving a wide range of coding problems.
  • Fluently apply recursion, dynamic programming, and greedy algorithms to complex problems.
  • Implement and utilize essential data structures like linked lists, stacks, queues, and trees.
  • Identify and debug common coding errors, enhancing your problem-solving resilience.
  • Understand and solve frequently asked interview questions from top tech companies.
  • Build a strong portfolio of practical Python code solutions for technical interviews.

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Coding Exercises

This course includes our updated coding exercises so you can practice your skills as you learn.

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Course content

15 sections • 7 lectures • 3h 3m total length

  • Introduction1:07

    Are you ready to truly master Python for coding interviews, right from the fundamentals?


    Welcome to "Python Coding Interview Practice – Similar to LeetCode, Hack," the ultimate hands-on challenge designed to transform your algorithmic problem-solving skills. Whether you're new to Python or looking to solidify your basics before tackling advanced concepts, this course is built for active learners like you who thrive by doing. Forget passive video lectures – we start with a solid foundation in Python basics, then guide you through challenging interview problems.


    If you've been practicing on platforms like LeetCode and HackerRank, or are just starting your journey and want a structured yet independent path to conquer the most common interview questions, you've found your perfect match.


    This course meticulously curates a vast collection of frequently asked Python coding interview problems, spanning essential topics from string manipulation and array operations to advanced data structures, algorithms, dynamic programming, and more. For every challenge, you'll receive a clear problem statement, comprehensive textual explanations of optimal solutions, in-depth time and space complexity analysis, and robust Python code you can run and test yourself.

    No hand-holding, just pure, unadulterated coding practice. We believe the best way to learn is by wrestling with problems, debugging your own solutions, and deeply understanding the logic behind efficient code.

    Join us to sharpen your Python skills, build an impressive portfolio of solutions, and walk into your next technical interview with unwavering confidence. Let the coding begin!


    Free Python Basics pre-recorded lectures are available with this course.

Requirements

  • Basic Python Syntax: Familiarity with variables, data types (strings, integers, lists), loops (for, while), and conditional statements (if/else).
  • Fundamental Programming Concepts: Understanding of functions, basic arithmetic operations, and the concept of input/output.
  • Computer with Internet Access: A personal computer (Windows, macOS, or Linux) and a stable internet connection are essential.
  • Python 3 Installed: Ability to install Python 3 and a code editor (like VS Code or PyCharm) on your machine to practice locally.
  • Motivation for Self-Learning: This course emphasizes hands-on problem-solving; a strong desire to code and debug independently is key.

Description

Crack Your Next Coding Interview with Confidence – Python Edition!


Are you preparing for coding interviews at top tech companies like Google, Amazon, Meta, Walmart, Netflix, or Microsoft? This course is your hands-on guide to mastering the most commonly asked coding interview questions – using Python.

Inspired by platforms like LeetCode, HackerRank, and CodeSignal, this course dives deep into real-world coding challenges that interviewers love to ask. Whether you're a beginner brushing up your skills or a seasoned programmer looking to stay sharp, you'll get practical, bite-sized problems with clear explanations and step-by-step Python solutions.


What You’ll Learn:

  • Popular interview problems in arrays, strings, linked lists, trees, graphs, and dynamic programming

  • Pythonic ways to approach and solve problems cleanly and efficiently

  • Techniques to optimize brute force code and improve time/space complexity

  • Tips and tricks to think like an interviewer and break problems down logically

Why This Course?

  • Focused practice with real interview-style problems

  • Clear, beginner-friendly Python code walkthroughs

  • Covers multiple problem-solving patterns (two-pointer, sliding window, DFS/BFS, etc.)

  • Lifetime access to growing content – more problems added regularly!

Whether you're preparing for a FAANG interview or just want to get better at problem solving, this course is a great step forward.

Practice. Learn. Get Hired.

Who this course is for:

  • Job Seekers: Anyone preparing for technical interviews at tech companies (FAANG, startups, etc.) looking to practice and refine their algorithmic problem-solving skills in Python.
  • Self-Taught Developers: Learners who prefer an active, hands-on approach to mastering data structures and algorithms by solving problems independently, similar to platforms like LeetCode and HackerRank.
  • Computer Science Students: Those who want to supplement their theoretical knowledge with extensive practical coding challenges to solidify their understanding.
  • Developers Seeking to Improve Problem-Solving: Programmers who wish to sharpen their analytical skills, improve code efficiency, and become more proficient at tackling complex coding challenges.
  • This course is not for absolute beginners in Python. While solutions are provided, the focus is on independent problem-solving and deep understanding of algorithmic concepts, requiring a foundational grasp of Python syntax and basic programming logic.

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