Preis:10,71 €
Data Structures Flashcards with Python Examples — 338 Cards | PDF, Anki Deck & HTML Study App | Coding Interview Prep
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Highlights
Struggling to apply data structures in real code — not just memorize them?
Most resources give you definitions. This deck gives you the "use this when..." — the practical knowledge that actually helps you write better code and ace interviews.
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WHY THIS DECK IS DIFFERENT
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We spent time in the communities where Python learners actually hang out — reading what trips people up, what questions keep coming back, and what resources they can never seem to find. Three frustrations came up over and over:
"I can't find affordable, focused material on data structures."
"I understand the theory but I don't know when to actually use it."
"I'm overwhelmed — I just need something clear and bite-sized."
Every single card in this deck was designed around those three struggles. No walls of text. No textbook definitions. Just practical, application-first explanations that tell you exactly when and why to reach for each structure — with Python code examples on every card that needs one.
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WHAT'S INSIDE — 338 FLASHCARDS
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These are core computer science data structures — universal concepts used in every language — with all code examples written in Python so you can apply them immediately.
13 topics covering every major data structure:
Lists (35 cards)
Dictionaries (35 cards)
Linked Lists (30 cards)
Binary Trees & BSTs (30 cards)
Stacks (25 cards)
Queues & Deques (25 cards)
Sets (25 cards)
Tuples (25 cards)
Heaps & Priority Queues (24 cards)
Graphs (25 cards)
Hash Tables (25 cards)
Arrays vs Lists (15 cards)
Big-O & Complexity of Data Structures (19 cards)
Each card is written to answer one focused question — with real-world context explaining when and why to use the structure, a Python code example where it helps, and time complexity where it matters. No filler, no walls of text.
Cards are organized into 13 topics — so in the HTML viewer you can filter by topic, and in Anki you can study one structure at a time.
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FILES INCLUDED IN THIS BUNDLE (1 ZIP file containing 14 files)
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PDF FLASHCARDS — 8 layouts so you can study the way that suits you:
4 cards per page — color (large, easy on-screen reading)
6 cards per page — color (balanced layout for tablets)
8 cards per page — color (compact quick-review format)
12 cards per page — color (print the full deck on fewer sheets)
4 cards per page — white (ink-saving print version)
6 cards per page — white
8 cards per page — white
12 cards per page — white
ANKI DECKS — 2 deck formats for deep memorization:
Normal deck — classic front/back flashcard format
Cloze deletion deck — fill-in-the-blank for active recall
INTERACTIVE HTML VIEWER — 1 offline study app:
Flip cards in your browser — no install needed
View by category to focus on one topic at a time
Works in Chrome, Firefox, and Edge — fully offline
1 Printable Cheat Sheet PDF (one page per domain — perfect for last-minute review)
1 Self-Quiz PDF with full Answer Key (test yourself on paper)
1 CSV Flashcard File (import into Brainscape, StudySmarter, or Cram.com — all free platforms)
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WHO THIS IS FOR
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Beginners who've learned Python basics and now need to tackle data structures
CS students preparing for university exams or technical assessments
Self-taught developers preparing for coding interviews
Anyone who's tried to learn data structures before and felt overwhelmed by the theory
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HOW TO USE IT
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HTML viewer: open the .html file in any browser — works completely offline
Anki: download the free Anki app at ankiweb.net, then import the .apkg file
PDFs: print on cardstock or study on screen — 8 size and colour options included
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INSTANT DOWNLOAD
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All 11 files zipped into a single ZIP file delivered immediately after purchase — no waiting, no shipping.
This is a digital product. No physical items will be sent.
─────────────────────────────────────
DISCLAIMER: This product is an independent study aid . It is not affiliated with, endorsed by, or officially connected to any university, certification body, or exam board. Python is a registered trademark of the Python Software Foundation.
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