Technical Interview Practice Python
Practice interview problems to build Python problem-solving confidence
Technical Interview Practice Python is a practice-focused Codecademy course that prepares developers for coding interviews by working through representative algorithm and data-structure problems in Python. It emphasizes hands-on practice of algorithms and data structures to help learners build repeatable problem-solving workflows for technical interviews.
The course is aimed at intermediate learners who already know Python basics and want targeted rehearsal of whiteboarding techniques, list and linked-list problems, and dynamic programming. It combines quizzes, applied projects, and AI-assisted feedback with a certificate option so learners can track progress and demonstrate readiness for coding interviews.
At a Glance
Technical Interview Practice with Python is a Codecademy course taught by Codecademy instructors including Alisha Grama that helps learners prepare for coding interviews by practicing common problem types and developing problem-solving workflows. It broadly covers whiteboarding techniques and typical algorithmic topics such as list and linked-list problems and dynamic programming, delivered through guided practice and feedback to build interview fluency.
| Level | Intermediate |
| Rating | 4.6 out of 5 |
| Duration | 5+ hours |
| Languages | English |
| Learners | 10K+ learners |
| Certificate | Certificate of completion (with paid plan) |
| Access | Access for as long as your subscription is active |
| Course includes |
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| Price | Included with subscription |
What This Course Teaches
The course organizes outcomes as demonstrable competencies you can use in interview settings, emphasizing algorithmic reasoning, data-structure manipulation, and solution optimization. Learners practice implementing and analyzing Python solutions so they can consistently solve common technical interview problems.
How the Course Is Structured
The course is organized into four concise lessons that combine short topic-focused units with practice problems, auto-graded quizzes, and a pair of applied projects. Overall, it comprises 4 modules and requires about 5+ hours of learner time to complete.
Curriculum overview
01Technical Interviews: Whiteboarding▾
Practice your whiteboarding skills and learn how to break a technical interview problem down into manageable pieces.
02Technical Interview Problems: Lists▾
A collection of common interview problems that use the Python List, and strategies for how to construct optimal solutions.
03Technical Interview Problems: Linked Lists▾
A collection of common interview problems that use the linked list data structure, and strategies for how to construct optimal solutions.
04Technical Interview Techniques: Dynamic Programming▾
Dynamic Programming is a technique we can apply to difficult questions that ask us to maximize a value given many options or constraints.
Audience & Requirements
The course is aimed at learners preparing for technical coding interviews and early-career developers who want focused practice on typical algorithm and data-structure problems in Python. It is best suited to people who already know Python basics and want targeted interview rehearsal rather than introductory language instruction.
- Job-seekers preparing for software engineering technical interviews using Python.
- Early-career developers looking to strengthen algorithmic problem-solving skills.
- Engineers practicing whiteboarding and timed problem sessions.
- Learners who have completed an introductory Python course and want interview-focused practice.
- Familiarity with Python basics (completion of Learn Python 3 is recommended).
- Comfort with fundamental programming constructs and basic data structures.
- Active Codecademy subscription to access the course content.
Final Verdict
This is a focused, practice-first course that effectively targets common interview patterns and problem types, and given its strong rating and broad learner adoption it’s a sensible choice for intermediate Python developers preparing for technical interviews.
Because access is subscription-based and a certificate is available through the platform’s paid options, the course delivers the most value to learners who already use or plan to use the platform regularly; prospective one-time buyers should compare the subscription model against standalone prep resources before committing.
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