Teaching data structures in Python gets easier with 𝗺𝗲𝗺𝗼𝗿𝘆_𝗴𝗿𝗮𝗽𝗵 visualizations. Data structures are no longer abstract concepts but concrete, clear and easy to debug.

Hash_Map demo: https://memory-graph.com/#codeurl=https://raw.githubusercontent.com/bterwijn/memory_graph/refs/heads/main/src/hash_map.py&timestep=0.2&play

This Hash_Map (Hash_Table) is a Python implementation similar to 'dict'. The demo visualizes:
- adding key–value pairs
- rehashing
- lookup by key
- iterating over keys

#Python #programming #memory_graph

An exercise to help build the right mental model for Python data. The “Solution” link uses memory_graph to visualize execution and reveals what’s actually happening:
- Solution: https://memory-graph.com/#codeurl=https://raw.githubusercontent.com/bterwijn/memory_graph_videos/refs/heads/main/exercises/exercise16.py&play
- Explanation: https://github.com/bterwijn/memory_graph?tab=readme-ov-file#python-data-model

#Python #programming #memory_graph

Four options for 𝐂𝐨𝐩𝐲 in Python:

𝚒𝚖𝚙𝚘𝚛𝚝 𝚌𝚘𝚙𝚢

𝚍𝚎𝚏 𝚌𝚞𝚜𝚝𝚘𝚖_𝚌𝚘𝚙𝚢(𝚊):
... 𝚌 = 𝚊.𝚌𝚘𝚙𝚢()
... 𝚌[𝟷] = 𝚊[𝟷].𝚌𝚘𝚙𝚢()
... 𝚛𝚎𝚝𝚞𝚛𝚗 𝚌

𝚊 = [[𝟷, 𝟸], [𝟹, 𝟺]]
𝚌𝟷 = 𝚊
𝚌𝟸 = 𝚊.𝚌𝚘𝚙𝚢()
𝚌𝟹 = 𝚌𝚞𝚜𝚝𝚘𝚖_𝚌𝚘𝚙𝚢(𝚊)
𝚌𝟺 = 𝚌𝚘𝚙𝚢.𝚍𝚎𝚎𝚙𝚌𝚘𝚙𝚢(𝚊)

c1, 𝐚𝐬𝐬𝐢𝐠𝐧𝐦𝐞𝐧𝐭: nothing is copied, everything is shared
c2, 𝐬𝐡𝐚𝐥𝐥𝐨𝐰 𝐜𝐨𝐩𝐲: first value is copied, underlying is shared
c3, 𝐜𝐮𝐬𝐭𝐨𝐦 𝐜𝐨𝐩𝐲: you decide what is copied and shared
c4, 𝐝𝐞𝐞𝐩 𝐜𝐨𝐩𝐲: everything is copied, nothing is shared

see: https://memory-graph.com/#breakpoints=8&continues=1&play

#Python #programming #memory_graph

An exercise to help build the right mental model for Python data. The “Solution” link uses memory_graph to visualize execution and reveals what’s actually happening:
- Solution: https://memory-graph.com/#codeurl=https://raw.githubusercontent.com/bterwijn/memory_graph_videos/refs/heads/main/exercises/exercise15.py&play
- Explanation: https://github.com/bterwijn/memory_graph?tab=readme-ov-file#python-data-model

#Python #programming #memory_graph

Visualization of Python execution can help beginners to understand how their program state changes over time and to debug any remaining issues.

For example, a classic intro-course exercise — computing which coins to use to pay an amount using a greedy approach:
https://memory-graph.com/#codeurl=https://raw.githubusercontent.com/bterwijn/memory_graph/refs/heads/main/src/make_change.py&breakpoints=21&continues=1&timestep=0.5&play

#Python #programming #memory_graph

An exercise to help build the right mental model for Python data. The “Solution” link uses memory_graph to visualize execution and reveals what’s actually happening:
- Solution: https://memory-graph.com/#codeurl=https://raw.githubusercontent.com/bterwijn/memory_graph_videos/refs/heads/main/exercises/exercise5.py&play
- Explanation: https://github.com/bterwijn/memory_graph?tab=readme-ov-file#python-data-model

#Python #programming #memory_graph

Data structures like Trie: https://memory-graph.com/#codeurl=https://raw.githubusercontent.com/bterwijn/memory_graph/refs/heads/main/src/build_trie.py&breakpoints=40,42,43&continues=1&timestep=0.2&play
can in Python be easier understood and debugged after visualization using the memory_graph package: https://github.com/bterwijn/memory_graph?tab=readme-ov-file#installation

A Trie is a tree of dictionaries and can be used for things like word completion.

#Python #programming #memory_graph #Tie

An exercise to help build the right mental model for Python data. The “Solution” link uses memory_graph to visualize execution and reveals what’s actually happening:
- Solution: https://memory-graph.com/#codeurl=https://raw.githubusercontent.com/bterwijn/memory_graph_videos/refs/heads/main/exercises/exercise11.py&breakpoints=13&continues=1&play
- Explanation: https://github.com/bterwijn/memory_graph?tab=readme-ov-file#python-data-model

#Python #programming #memory_graph

Algorithms like Cocktail Shaker Sort: https://lnkd.in/e5e7FUeu
(Bubble Sort in both directions) are easier to understand after visualization using memory_graph: https://lnkd.in/ePFhkAfH

#Python #programming #memory_graph #sort

An exercise to help build the right mental model for Python data. The “Solution” link uses memory_graph to visualize execution and reveals what’s actually happening:
- Solution: https://memory-graph.com/#codeurl=https://raw.githubusercontent.com/bterwijn/memory_graph_videos/refs/heads/main/exercises/exercise18.py&play
- Explanation: https://github.com/bterwijn/memory_graph?tab=readme-ov-file#python-data-model

#Python #programming #memory_graph

Binary Trees: https://memory-graph.com/#codeurl=https://raw.githubusercontent.com/bterwijn/memory_graph/refs/heads/main/src/bin_tree.py&timestep=0.2&play
and other data structures become much easier to understand when students can see the structure of their data. Then a data structure is no longer an abstract idea but concrete, clear and debuggable.

#Python #programming #memory_graph

An exercise to help build the right mental model for Python data. The “Solution” link uses memory_graph to visualize execution and reveals what’s actually happening:
- Solution: https://memory-graph.com/#codeurl=https://raw.githubusercontent.com/bterwijn/memory_graph_videos/refs/heads/main/exercises/exercise10.py&breakpoints=13&continues=1&play
- Explanation: https://github.com/bterwijn/memory_graph?tab=readme-ov-file#python-data-model

If you think this could help Python students and educators, please boost.

#Python #programming #memory_graph #DeepCopy #ShallowCopy

Algorithms can at first seem complex to students, but with memory_graph every step is clearly visualized, giving students an intuitive understanding of what their code is doing and making bugs much easier to spot and fix. Here's an example Bubble Sort algorithm: https://memory-graph.com/#codeurl=https://raw.githubusercontent.com/bterwijn/memory_graph/refs/heads/main/src/bubble_sort.py&breakpoints=29,38&continues=1&timestep=0.2&play

#Python #programming #memory_graph #sorting

An exercise to help build the right mental model for Python data. The “Solution” link uses memory_graph to visualize execution and reveals what’s actually happening:
- Solution: https://memory-graph.com/#codeurl=https://raw.githubusercontent.com/bterwijn/memory_graph_videos/refs/heads/main/exercises/exercise3.py&play
- Explanation: https://github.com/bterwijn/memory_graph?tab=readme-ov-file#python-data-model

#Python #programming #memory_graph

Data structures in Python become much easier to understand when students can see the structure of their data visualized using memory_graph. A data structure is no longer an abstract idea but concrete, clear and debuggable. Here’s a live demo of a Linear Linked List: https://memory-graph.com/#codeurl=https://raw.githubusercontent.com/bterwijn/memory_graph/refs/heads/main/src/linked_list_lin.py&breakpoints=27&continues=1&timestep=0.2&play

#Python #programming #memory_graph #linkedlist

An exercise to help build the right mental model for Python data. The “Solution” link uses memory_graph to visualize execution and reveals what’s actually happening:
- Solution: https://memory-graph.com/#codeurl=https://raw.githubusercontent.com/bterwijn/memory_graph_videos/refs/heads/main/exercises/exercise19.py&play
- Explanation: https://github.com/bterwijn/memory_graph?tab=readme-ov-file#python-data-model

#Python #programming #memory_graph #copies

Algorithms can at first seem complex to students, but with memory_graph every step is clearly visualized, giving students an intuitive understanding of what their code is doing and making bugs much easier to spot and fix. Here's an example Insertion Sort algorithm: https://memory-graph.com/#codeurl=https://raw.githubusercontent.com/bterwijn/memory_graph/refs/heads/main/src/insertion_sort.py&breakpoints=13,29&continues=1&timestep=0.2&play

#Python #programming #memory_graph #sorting

An exercise to help build the right mental model for Python data. The “Solution” link uses memory_graph to visualize execution and reveals what’s actually happening:

- Solution: https://memory-graph.com/#codeurl=https://raw.githubusercontent.com/bterwijn/memory_graph_videos/refs/heads/main/exercises/exercise4_mg.py&play
- Explanation: https://github.com/bterwijn/memory_graph?tab=readme-ov-file#python-data-model

#Python #programming #memory_graph

Understanding and debugging Python data structures gets easier with memory_graph visualization. Here's a Multiway Tree example: https://memory-graph.com/#codeurl=https://raw.githubusercontent.com/bterwijn/memory_graph/refs/heads/main/src/multiway_tree.py&breakpoints=19,33&continues=1&timestep=0.2&play

A Multiway Tree is similar to a Binary Tree but has an arbitrary number of children making the tree less deep and more efficient.

#Python #programming #memory_graph

An exercise to help build the right mental model for Python data. The “Solution” link uses memory_graph to visualize execution and reveals what’s actually happening:
- Solution: https://memory-graph.com/#codeurl=https://raw.githubusercontent.com/bterwijn/memory_graph_videos/refs/heads/main/exercises/exercise12.py&play
- Explanation: https://github.com/bterwijn/memory_graph?tab=readme-ov-file#python-data-model

#Python #programming #memory_graph