Skill Path

Pass the Technical Interview with Python

Learn about the computer science concepts of data structures and algorithms and build implementations of each from scratch in modern Python.

Includes Python, Interview Questions, Data Structures, Big O, Recursion, Sort and Search Algorithms, and more.

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This skill path includes
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23,162 learners enrolled
This skill path includes

  • Skill level

    Intermediate

  • Time to complete

    Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary
     
    25 hours

  • Projects

    7

  • Prerequisites

    1 course
     
    We suggest you complete the following courses before you get started with Pass the Technical Interview with Python:
    • Learn Python 3

About this skill path

Once you have a strong foundation in Python, the next step is going pro. In this skill path, we’ll teach you the advanced coding skills you need to land a job — along with tips and tricks that will help you nail the technical interview. Learn about data structures and algorithms and dive into more advanced topics like algorithmic complexity and dynamic programming.

Skills you'll gain

  • Pass a technical interview
  • Implement data structures in Python
  • Create algorithms from scratch
  • Write professional-level code

Syllabus

8 units • 43 lessons • 7 projects • 40 quizzes
  • 1

    Welcome to Interview Prep in Python

    Get started with an overview of data structures, algorithms, and dig into building your first data structure!

  • 2

    Linear Data Structures

    Learn to build various linear abstract data types in Python, such as linked lists, queues, and stacks.

  • 3

    Hash Maps

    Learn about hash maps, a key-value data storage structure with very efficient lookup performance.

  • 4

    Algorithmic Concepts

    Learn algorithm fundamentals, including recursive vs. iterative patterns and Big O asymptotic notation.

  • 5

    Nonlinear Data Structures

    A conceptual and Python-specific introduction to Trees, Binary Search Trees, and Heaps.

  • 6

    Sorting Algorithms

    Learn about sorting algorithms in Python.

  • 7

    Graphs and Graph Traversals

    Learn to build a Graph in Python, and then traverse it using depth-first search, breadth-first search, and Dijkstra’s and A* algorithms.

  • Certificate of completion available with Plus or Pro

    Earn a certificate of completion and showcase your accomplishment on your resume or LinkedIn.
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The platform

Hands-on learning

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Reviews from learners

  • The progress I have made since starting to use codecademy is immense! I can study for short periods or long periods at my own convenience - mostly late in the evenings.
    Chris
    Codecademy Learner @ USA
  • I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.
    Rodrigo
    Codecademy Learner @ UK
  • Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.
    John-Andrew
    Codecademy Learner @ USA

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How it works

Skill paths help you level-up

  1. Get a specialized skill

    Want to level up at work? Gain a practical, real-world skill that you can use right away to stand out at your job.

  2. Get step-by-step guidance

    We guide you through exactly where to start and what to learn next to build a new skill.

  3. Get there quickly

    We’ve hand-picked the content in each Skill Path to fast-track your journey and help you gain a new skill in just a few months.

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What's included in skill paths

  • Practice Projects

    Guided projects that help you solidify the skills and concepts you're learning.

  • Assessments

    Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.

  • Certificate of Completion

    Earn a document to prove you've completed a course or path that you can share with your network.
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