Python Programs hub
Index of the ten most-searched beginner Python programs, each with approaches, output, a dry run and practice links.
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Python सीखने, debugging practice करने, errors समझने और output predict करने के लिए सभी useful resources एक जगह खोजें।
This directory lists every public page on PyDebug, grouped by what you are trying to do. Search by title, topic or keyword, narrow the list by category, language or difficulty, and open the page you need — no account, no sign-in, nothing to install.
182 public pages7 categories43 Hindi pagesFree · no login
Type anything into the search box — a page title, an exception name such as KeyError, a topic such as loops, or a Hindi word — and the list filters as you type. The three dropdowns narrow it further: Category for the kind of page, Language for English or Hindi, and Difficulty where a page is marked beginner, intermediate or advanced. Nothing here needs an account.
Not sure where to start? If you landed here from an error message, open the error explainer and pick your exception. If you want a route rather than a single answer, follow a learning path. If you just want to run code, the Python playground is one click away. Hindi में पढ़ना है तो Hindi hub से शुरू करें।
Showing all 182 pages across 7 categories.
The classic beginner programs every Python course starts with — factorial, Fibonacci, palindrome, prime numbers, star patterns and more. Each page gives you the problem statement, two or three working approaches, the exact output, a line-by-line dry run and the errors that usually break the program. Every program exists in English and in Hindi, so pick the language you think in.
Index of the ten most-searched beginner Python programs, each with approaches, output, a dry run and practice links.
Check whether a number equals the sum of its own digits raised to the digit count — loop, function and one-liner versions.
Three ways to compute n! — an explicit loop, a recursive function and math.factorial — with the edge cases each one hides.
Print the Fibonacci sequence with a while loop, a reusable function and a generator, and trace how the two seeds move.
Print a formatted times table with range(), f-strings and nested loops — including the alignment beginners usually get wrong.
Test strings and numbers for palindromes with slicing, a two-pointer loop and reversed(), plus the case and space traps.
Decide whether a number is prime with a naive loop, a square-root bound and a reusable helper — and why 1 is not prime.
Reverse digits with modulo arithmetic or by converting to a string, and handle the trailing-zero and negative cases.
Pyramids, triangles and diamonds built from nested loops — the row/column maths behind every star pattern question.
Add up a number's digits with while/modulo, with str() and sum(), and with recursion — three habits, one result.
Swap variables with a temporary, with tuple unpacking and with arithmetic — and why a, b = b, a never needs a temp.
दसों popular Python programs की Hindi index — हर page पर approach, code, output और dry run।
Armstrong number Hindi में — digits की power का sum, loop और function दोनों तरीके, साथ में dry run।
Factorial Hindi में — loop, recursion और math.factorial, और हर तरीके की common galti।
Fibonacci series Hindi में — while loop और function से series print करना, step-by-step dry run के साथ।
Multiplication table Hindi में — range() और f-string से साफ़ output, nested loop की पूरी समझ।
Palindrome Hindi में — string slicing [::-1] और loop दोनों से check, numbers के लिए भी वही logic।
Prime number Hindi में — divisor loop, square-root optimisation और 1 prime क्यों नहीं है।
Number reverse Hindi में — modulo वाला गणित और string तरीका, दोनों का dry run।
Star patterns Hindi में — pyramid, triangle और diamond के nested loops का row-column गणित।
Digits का sum Hindi में — while/modulo, str() + sum() और recursion, तीनों approaches।
Swap Hindi में — temp variable, tuple unpacking (a, b = b, a) और arithmetic तरीका।
Interactive challenges you solve in the browser: fix a real bug, or predict what the code prints before you run it. Every problem page explains the rule behind the bug, walks the trace, and lists the wrong fixes people try first — then hands you the editor. Start with the two indexes if you would rather browse by topic than scroll a list.
The live catalog — filter free bug-fixing and output-prediction challenges by topic, type and difficulty, then solve them in the browser.
Every problem on one lightweight page, grouped by topic — the fastest way to scan the whole catalog without JavaScript.
Why debugging practice beats copying tutorials, and how to build a daily habit out of short broken-code exercises.
This PyDebug exercise focuses on abs and type conversion.
A KeyError means the dictionary lookup asked for a key that is not present.
break and continue are the two ways a loop body can interrupt itself, and they do opposite things: break abandons the…
Python executes a module from top to bottom.
TypeError: missing 1 required positional argument means the call supplied fewer values than the def line demands.
a = b = [1, 2] assigns the SAME object to both names, right to left: the list is created once, then bound to b and to…
This PyDebug exercise focuses on checking membership in a list.
An attribute assigned in the class body belongs to the class itself, and every instance reads it through lookup — so…
This PyDebug exercise focuses on comparison chains.
ValueError: invalid literal for int() with base 10 means int() received a string whose characters do not form a whole…
int() and float() can convert text only when the text represents a valid number in the requested format.
This PyDebug exercise focuses on custom exception messages.
Default parameter values fill in for arguments the caller omits: def greet(name, msg='Hello') lets greet('Sam') and g…
del data['key'] raises KeyError when the key is absent — deletion is a lookup first.
This PyDebug exercise focuses on dictionary comprehension with condition.
d.get(key, default) is the crash-free lookup: it returns the stored value when the key exists and the default when it…
This easier companion drills the core get() contract with simple data: d.get('missing', 0) yields 0 without touching…
A dict literal with the same key twice does not error — the later value silently overwrites the earlier one, so {'a'…
This PyDebug exercise focuses on dictionary pop with default.
This PyDebug exercise focuses on dictionary update behavior.
This PyDebug exercise focuses on division by zero in a list comprehension.
Python allows else on a for loop, and its meaning surprises almost everyone: the else block runs when the loop finish…
enumerate(items, start=1) numbers the items 1, 2, 3...
range(start, stop, step) counts from start toward stop in jumps of step, always excluding stop itself.
A function without a return statement — or one whose return sits in a branch that didn't execute — hands back None.
This PyDebug exercise focuses on in operator on a list.
Python uses indentation as syntax.
This PyDebug exercise focuses on integer division and modulo.
This PyDebug exercise focuses on join and split.
b = a does not copy a list — it makes b a second name for the same object, so a.append() shows up in b and vice versa.
This PyDebug exercise focuses on list extend vs append.
This PyDebug exercise focuses on list methods in sequence.
[0] * 3 gives [0, 0, 0] — handy.
This PyDebug exercise focuses on list slicing with step.
This PyDebug exercise focuses on loop range boundaries.
In Python, a for loop's variable is not scoped to the loop — after the loop finishes, the variable still exists and h…
This program crashes with IndexError because its loop asks for one more position than the list owns — the classic res…
This PyDebug exercise focuses on missing colon after function definition.
Every compound statement header in Python — for, while, if, elif, else, def, class, try — must end with a colon; the…
After a header line ending in a colon, Python requires the next statement to be indented — indentation is the block s…
TypeError: can only concatenate str (not "int") to str is Python refusing to guess: 'Score: ' + 90 could mean 'Score…
If a function assigns to a name anywhere in its body, Python treats that name as local throughout the function.
This PyDebug exercise focuses on multiple except with a shared exception.
This PyDebug exercise focuses on multiple return values.
Default arguments are evaluated once, when Python creates the function, not every time the function is called.
Negative indexes count from the end: items[-1] is the last element, items[-2] the second-to-last, and for a list of l…
data['user']['address']['city'] is a chain of separate lookups, evaluated left to right, and it fails at the FIRST mi…
This PyDebug exercise focuses on nested loop with a shared variable.
This PyDebug exercise focuses on not operator with different types.
This PyDebug exercise focuses on operator precedence.
This PyDebug exercise focuses on rounding numbers.
Building a set discards duplicates on insertion: set([1, 2, 2, 3]) holds three elements, and len() reflects the dedup…
This PyDebug exercise focuses on setdefault behavior.
items[1:3] returns exactly two elements — positions 1 and 2, never position 3.
This PyDebug exercise focuses on sorted with a key function.
Python 3 refuses to guess how a string compares to a number: sorted([3, 'one', 2]) raises TypeError: '<' not supporte…
This PyDebug exercise focuses on string case methods.
This PyDebug exercise focuses on string comparison basics.
This PyDebug exercise focuses on string concatenation with.
This puzzle layers two string rules: multiplication builds a longer repeated string, and indexing then reads one char…
This snippet combines two rules that are individually simple: s * n repeats a string, and a loop accumulator grows on…
'ab' * 3 builds 'ababab' — string multiplication repeats the whole string, not each character, and len() then counts…
This PyDebug exercise focuses on string startswith and endswith.
This PyDebug exercise focuses on swapping variables with tuples.
try/except/else has a precise execution order: the try body runs; if it raises a matching exception, the except body…
TypeError: 'tuple' object does not support item assignment enforces the whole point of tuples: once built, their slot…
This prediction puzzle probes what tuple immutability really guarantees: the tuple's slots can never be reassigned, b…
This PyDebug exercise focuses on tuple unpacking with functions.
This bug is about statement order: the code reads a variable on a line that runs before the assignment that creates i…
This PyDebug exercise focuses on using instead of in a check.
if x = 5: is a SyntaxError in Python because a single = is assignment and only == compares.
This PyDebug exercise focuses on while loop with a condition update.
Python measures containers with the built-in len(items) — there is no items.length attribute and no items.size() meth…
A string that contains the same quote character it is delimited by ends earlier than intended: 'it's fine' terminates…
Adding a key to a dictionary is plain assignment: data['city'] = 'Pune'.
This PyDebug exercise focuses on zip combining two lists.
Deep-dive explainers for the exceptions that actually stop your program. Each one decodes the traceback line by line, shows a runnable example that raises it, lists the real causes, and links to practice where you repair that exact error. English explainers live under /errors; the Hindi versions cover the same ground in simple Hinglish.
Pick the exception in your traceback and get the full decode: meaning, real example, causes, fix routine and practice.
Typos, definition order and scope — the three reasons Python says a name does not exist, read straight from the message.
str + int, 'not callable', 'not iterable', missing arguments — each famous TypeError message decoded and fixed.
Why len(list) is never a valid index, and the four loop shapes that walk one step past the end of a sequence.
Exact-match rules for dict lookups, get() vs [] vs setdefault, and the nested-dictionary traps behind most KeyErrors.
Right type, impossible value — what int() really accepts, plus the unpacking variants of the same exception.
Almost always a missing-data bug in an arithmetic costume — empty lists, averages and the modulo variant.
Why the caret points one line late, the six causes behind almost every parse error, and how to isolate them fast.
Expected an indented block, unexpected indent, unindent does not match — plus the invisible tabs-versus-spaces version.
Reading the type in the message, the NoneType trap from in-place methods, and how dir() ends the guessing.
One reference for sixteen Python exceptions — IndexError, KeyError, TypeError, SyntaxError, AttributeError and more.
A fix-first walkthrough of the fifteen tracebacks beginners hit most, each with the message, cause and corrected code.
छह सबसे common Python errors Hindi में — हर error का मतलब, कारण, fix और browser practice।
name 'x' is not defined क्यों आता है — spelling, order और scope की पाँच वजहें और हर एक का fix।
str + int, not callable और not iterable — TypeError के हर रूप का Hindi explanation और समाधान।
Dictionary में missing key क्यों crash करती है, get() कब बेहतर है और nested dict की galtiyan।
Off-by-one, खाली list और loop की galtiyan — index range से बाहर क्यों जाता है, Hindi में।
int('abc') क्यों fail होता है, input() के साथ ValueError और उसे try/except से safe करना।
Division by zero का असली कारण — खाली list का average और modulo, साथ में guard condition।
expected an indented block और unexpected indent — tabs vs spaces की गड़बड़ Hindi में सुलझाएँ।
'NoneType' object has no attribute — list और string के methods की अदला-बदली से बचने का तरीका।
Colon, bracket और quote की छूटी हुई galtiyan — Python किस line पर रुकता है और क्यों।
No module named 'x' — pip install के बाद भी error क्यों, और सही environment कैसे चुनें।
Traceback को नीचे से ऊपर पढ़ने का तरीका — कौन-सी line असली culprit है, Hindi में step by step।
तीन तरह की galtiyan में फ़र्क — कौन-सी code चलने से पहले पकड़ी जाती है और कौन-सी चुपचाप गलत output देती है।
input() का string, = vs ==, mutable default और नौ और galtiyan जो हर नए Python learner से होती हैं।
A Hindi 5-step debugging method for reading Python tracebacks, finding line numbers and fixing common NameError, TypeError and IndexError issues.
The long-form guides and structured paths: tutorials, the debugging method, output-prediction training, the glossary, interview questions and eight ordered learning paths that sequence problems from first syntax error to interview traps. Use these when you want a route through the material instead of a single answer.
Free tutorials covering variables, data types, loops, functions and error handling, each ending in something to run.
A repeatable method for finding bugs fast: read the message, narrow the range, print the right thing, verify the fix.
Ten screening questions interviewers actually ask — mutable defaults, sort() returning None, for/else — with answers.
Plain-English definitions for 40+ Python terms, from iterable and mutable to scope, slice, traceback and f-string.
The skill of reading code and knowing what prints — worked examples, the rules behind them and interactive drills.
Scope traps, mutable defaults, chained comparisons and seven more puzzles that break confident guesses.
24 predict-the-output questions with answers and line-by-line explanations across strings, lists, dicts and loops.
A loop over range(1, 10, 3) with a running total — predict every printed line including the last one.
nums[1:4], nums[-2:] and nums[::2] — three slices, three outputs, and the rule that explains all of them.
word * 3, len() of the result, indexing into it and the '' * 0 edge case — four prints to predict.
Eight ordered paths that sequence the problem catalog from first syntax error to interview traps, with free progress tracking.
Twelve broken programs that teach syntax by repair — quotes, colons, indentation and print().
Thirteen problems on names, values and conversions — NameError, ValueError, int() vs float() and type juggling.
Twenty problems on indexing, slicing, copies vs references, KeyError and safe dictionary lookups.
Sixteen problems on range() bounds, off-by-one errors, infinite while loops, break vs continue and for/else.
Twelve problems on arguments, defaults, return values and scope — from missing arguments to the mutable default trap.
Ten problems on try/except/else, finally, except ordering and when catching an exception is the wrong fix.
Eighteen ordered drills that train predict-the-output across strings, lists, dicts and control flow.
The sixteen trick questions interviewers reuse — mutable defaults, class variables, aliasing and sequencing.
Articles on debugging technique, error fixes, output prediction and how to practise Python without tutorial fatigue.
Python concepts explained in simple Hindi — loops, lists, strings, dictionaries, input(), OOPs, exception handling, MCQs and board-exam output questions, plus a 30-term Hindi glossary. Hindi error guides sit in the Python Errors category and Hindi program pages in Python Programs; set the Language filter to Hindi to see all of them together.
Hindi में Python सीखने की शुरुआत — errors, glossary, concepts और browser practice एक जगह।
Hindi/Hinglish guide for running Python code on a phone browser with no app install, plus mobile keyboard mistakes and practice links.
Mobile-first Hindi guide to choosing and using a free browser Python compiler for snippets, input, output and beginner practice.
Hindi guide to free Python practice questions: bug-fix drills, output prediction, topic order and a daily routine for beginners.
Beginner Hindi roadmap for learning Python from a phone: free compiler, topic order, 20-minute routine, errors and practice questions.
Python के 30 ज़रूरी terms Hindi में — variable, list, dictionary, loop, function, exception और बाकी।
range(), enumerate, nested loop, break-continue और for-else — पूरा for loop Hindi में।
append, extend, insert, remove, pop, sort, reverse और copy — हर method का असर example के साथ।
upper, lower, strip, split, join, replace और find — string के सारे ज़रूरी methods Hindi में।
Dictionary बनाना, get(), keys-values-items, loop, nested dict और update — पूरी guide Hindi में।
input() हमेशा string क्यों देता है, int/float में कैसे बदलें और ValueError से कैसे बचें।
class, object, __init__, self, inheritance, encapsulation और polymorphism आसान Hindi examples में।
try, except, else, finally का सही क्रम, raise करना और bare except क्यों खतरनाक है।
12 multiple choice questions Hindi में — हर एक का सही answer और उसके पीछे का explanation।
CBSE Class 12 style के 8 output programs — सही answer और हर line का Hindi explanation।
Output predict करने के सवाल Hindi में — slice, loop, dict और string के tricky cases।
Interview में पूछे जाने वाले debugging सवाल Hindi में — traceback, mutable default और is vs ==।
The interactive parts of PyDebug: the in-browser Python compiler, the AI code teacher, today's challenge, the embeddable practice widget, the public leaderboard and the pages for teachers and community members. Everything here is usable without an account unless the page says otherwise.
Write and run Python in the browser — real interpreter, real tracebacks, input() support, no install and no signup.
Paste any Python program and get the real output, every bug with its line number and a line-by-line walkthrough.
One fresh challenge every day plus a 90-day archive — a five-minute habit that keeps a streak alive.
Free topic-wise assignment links, warm-up challenges and projector-friendly problems for Python teachers.
Drop a free Python output-prediction widget into any blog, course or LMS with a single iframe tag.
Six ways to take part: the daily challenge, the leaderboard, classrooms, the embed widget, the blog and the ground rules.
How discussions stay safe, respectful and educational — what is encouraged, what is prohibited and how to report.
Public rankings by XP, problems solved and streak length, with weekly boards and your exact position.
What the paid plan unlocks — hard problems and an ad-free editor — and what stays free forever, including every hint.
What PyDebug is, how it works, how to reach us, and the policies that govern the platform. These pages answer the account, pricing, privacy and data questions that come up before you sign up for anything.
Why PyDebug teaches Python through broken code, who builds it and how the practice model works.
Guest mode, premium features, XP and streaks, accounts and data — the questions learners ask most, answered.
Reach the team about accounts, payments, bugs, content corrections or classroom use.
What data PyDebug collects, how it is used and stored, and the choices you have over it.
The agreement that covers your use of PyDebug — accounts, content, payments and acceptable use.
How premium billing, cancellations and refunds work, and the window in which you can request one.
Which cookies PyDebug sets, what each one does and how to control them in your browser.
The educational scope of PyDebug content, third-party services and the limits of what the platform guarantees.
This directory only lists pages that are public and indexable, so everything above opens without an account. Pages that belong to a signed-in learner — the dashboard, profile, notifications and checkout — are deliberately left out.
If a page is missing, the machine-readable list is always current: see sitemap.xml for every crawlable URL, all problems A–Z for the complete practice catalog, or contact us and we will point you at the right page.