Python interviews take practice.Make yours hands-on.
Work through 250 coding questions, run your Python in the browser, and learn from clear explanations. Build confidence for the questions you need to reason through, not just recall.
Start with your role, then strengthen the topics that slow you down. Each active practice set is included with Python access.
50 questions
Language & everyday engineering
Python developer
•Mutable defaults, copying and closures
•Decorators, generators and iterators
•OOP, exceptions and context managers
•Standard-library tools and asyncio
Explain the behavior, write the implementation, and handle the edge cases.
50 questions
pandas & NumPy
Data analyst
•Clean missing and inconsistent values
•Join, group, pivot and reshape data
•Work with windows, cohorts and time zones
•Check metrics, grain and reconciliation
Turn an analytical question into a result you can explain and validate.
150 questions
Company-style practice sets
Algorithms & coding rounds
•Arrays, strings and hash maps
•Stacks, queues and linked lists
•Trees, graphs and traversal
•Searching, recursion and dynamic programming
Practice choosing an approach and discussing its time and space costs.
Company-style sets are authored learning exercises. Company names describe practice styles and do not imply affiliation or verified interview provenance.
Read free Python interview questions
Each track lists every question it contains. Some are open to read without an account, with hints and the worked answer.
For this sample, return the indices of two numbers that add up to the target. Try an approach, check the output, and use the worked answer to understand the trade-off.
The input
nums = [2, 7, 11, 15], target = 9
The expected output
[0, 1] — because 2 + 7 = 9
The idea to explain
A hash map finds a matching value in one pass. Look up the complement before adding the current value.
two_sum.pyWorked-answer sample
def two_sum(nums, target):
seen = {}
for index, value in enumerate(nums):
match = target - value
if match in seen:
return [seen[match], index]
seen[value] = index
return []
Time: O(n) · Space: O(n)
Inside your account, run the checks, stop execution, and save your own solution.
A useful routine for every question.
Make progress in short sessions. Your code and results stay with your account.
01
Try before you reveal
Read the contract and examples. Write an approach, then use the hints if you need a starting point.
02
Run, inspect, improve
Run the checks in your browser. Investigate a failed case, change your code, and try again.
03
Save and build on it
Save your draft or results. Compare the worked answer and return later for another attempt.
Simple access
Give your next interview some focused preparation.
₹199 gives you lifetime access to the active Python practice bank. Sign in with the account where you want to keep your progress.
Basic Python knowledge is recommended. For classes with an instructor, explore Python training.
Python interview practice
One purchase. A place to keep improving.
250 coding questions with hints, worked answers and saved progress.
You get 250 active coding questions, a browser Python editor, test checks, hints, worked answers and saved drafts. The bank covers Python developer skills, algorithms and data analyst exercises where those tracks are listed above.
How long do I keep access?
The current offer includes lifetime access for a one-time payment of ₹199. Your purchase follows the access terms shown at checkout.
Can I run Python, pandas and NumPy here?
Yes. Code runs in a Python browser worker, with pandas and NumPy available for the relevant exercises. The first run downloads the runtime, so allow time for it to load and keep an internet connection available. You can stop a run and try again.
Can I pause and repeat a question?
Yes. Your draft is saved to your account, so you can return later. You can repeat practice during your access period. Run your checks and choose Save results when you want to record that attempt’s result.
Is this a video course or a live interview?
This purchase provides a self-paced coding practice bank. It includes written explanations and runnable exercises. Instructor-led Python training is available separately through TechNet Consultancy.
Are these questions verified employer interview questions?
These are authored interview-style teaching exercises. Company labels describe practice sets; they do not imply employer affiliation or that a question was asked by that company. Preparation supports practice and does not guarantee a job or interview result.
What should I know before starting?
Be comfortable with Python variables, loops, functions and basic collections. Choose the developer, analyst or algorithm exercises that match your role. If you are starting from scratch, our Python training page explains the instructor-led options.
I already bought Python access. Do I need to pay again?
Sign in with the account used for your purchase. The access card will show Open Python practice when your entitlement is active. Valid access through the previous Python course is also recognized.
Build your foundation alongside practice
Read our pandas beginner’s guide and Python, SQL and Power BI learning guide.
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