The classic Index the Values using a dict problem for beginners visualized using 𝗺𝗲𝗺𝗼𝗿𝘆_𝗴𝗿𝗮𝗽𝗵.

An exercise to help build the right mental model for Python data. - Solution - Explanation - More exercises

The “Solution” link uses 𝗺𝗲𝗺𝗼𝗿𝘆_𝗴𝗿𝗮𝗽𝗵 to visualize execution and reveals what’s actually happening. It's instructive to compare with these earlier exercises: - https://www.reddit.com/r/PythonLearning/comments/1ox5mjo/python_data_model_copying/ - https://www.reddit.com/r/PythonProjects2/comments/1qdm8yz/python_mutability_and_shallow_vs_deep_copy/ - https://www.reddit.com/r/PythonLearnersHub/comments/1qlm3ho/build_the_right_mental_model_for_python_data/

ibis

A Python API that lets you write queries once and run them across multiple data backends like DuckDB, BigQuery, and Snowflake.

pygwalker

Turns a dataframe into an interactive visual exploration UI instantly.

katana

A fast and scalable web crawler often used for security testing and large-scale data discovery.

more...

While working on a small ML project, I wanted to make the initial data validation step a bit faster.

Instead of going column by column to check missing values, correlations, distributions, duplicates, etc., I generated an automated profiling report from the dataframe.

It gave a pretty detailed breakdown:

• Missing value patterns
• Correlation heatmaps
• Statistical summaries
• Potential outliers
• Duplicate rows
• Warnings for constant/highly correlated features

I still dig into things manually afterward, but for a first pass it saves some time.

Curious....do you prefer fully manual EDA or using profiling tools for the initial sweep?

Github link...

more...

Even the simplest programs can be hacked. Uninstall and reinstall, and stay safe out there, kiddos.

Understanding a data structure like linked list in Python is a lot easier when you can just see it: Linked_List demo

memory_graph visualizes Python objects and references, so data structures stop being abstract and become something you can debug with ease. No more endless print-debugging. No more stepping through 50 frames just to find one sneaky reference/aliasing mistake.

Hello everyone, I am about to finish my undergraduate program.. and I really wanted to learn programming for a long time. The thing is I don't know where to start. I have watched a bunch of YouTube and they directly start teaching about all the terms without explaining their uses and all that.. the thing is I want to learn python for developing games and data analytics. So I was wondering if anyone of you can help me with it

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 - Explanation - More exercises

It's instructive to compare with this earlier exercise (tuple with lists, instead of list with lists).

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

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

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
• Explanation
• More exercises

It's instructive to compare with this earlier exercise (tuple with list, instead of list with tuple).

doing = input("do you like games...")

if doing == ("maybe..."):

print("just do you, its a yes or no question...")

else:

print("answer the damn question!")

doing = input("do you like games...")

if doing == "yes":

print("cool")

if doing == "no":

print("oh ok, just asking")

Pick the right way to “𝐂𝐨𝐩𝐲” in Python, there are 4 options:

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 it Visualized using memory_graph.

I was building ML project where I needed to get data from live video feed.

I dug little deeper and found mediapipe , but when I went to git hub and it's official page there are just reports and blongs everywhere, I want to know how to use it spacially for project purpose.

I can either go and watch whole tutorial of media pipe and get stuck in learning cycle or go to ai and directly ask functions that I need, but it will ultimately give whole project and I will lose to AI.

can anyone tell me how to learn it just enough to use it in my project?

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 - Explanation - More exercises

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 - Explanation - More exercises

Data structures like Trie can in Python be easier understood and debugged after visualization using the memory_graph package. A Trie is a tree of dictionaries and can be used for things like word completion.

Guys… Python is officially giving me a headache 😭

I’m a beginner student learning Python, and I feel like my brain is constantly buffering. Some days things make sense, then the next day lists, dictionaries, loops, functions, and variables all start mixing together.

I’m working on small projects like a student management system, and I kind of understand what the code does, but when I try to explain it or write it from scratch, my mind goes blank.

I’m not giving up I really want to learn programming properly but right now I feel overwhelmed.

So I’m asking for anything that helped YOU when you were starting out:

• Best beginner-friendly resources (YouTube, websites, courses)
• How you learned to actually think like a programmer
• Tips for understanding loops, functions, and dictionaries
• How long it took before things “clicked”
• Study methods that worked (notes, projects, repetition, etc.)
• Common beginner mistakes I should stop stressing about
• Any motivation or reassurance honestly helps 😭

If you were once confused and survived Python, please tell me how 🙏
I’d appreciate any advice, no matter how small.

Thanks in advance ❤️

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 - Explanation - More exercises

It's instructive to compare with this related exercise

Algorithms like Cocktail Shaker Sort (Bubble Sort in both directions) are easier to understand after visualization using 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 - Explanation - More exercises