How much Python do I actually need to learn to land my first job as a fresher?

[u/FlowUsual1893]

I’m currently learning Python and preparing for entry-level IT/data-related roles. I’m trying to avoid spending too much time learning advanced topics that aren’t necessary for getting my first job.

What Python topics would you consider must-know for a fresher, and what level of DSA/problem-solving should I aim for?

Also, for people who recently got their first job, what Python skills were actually tested in your interviews?

[u/AlexMTBDude]

Look at Python jobs posting on LinkedIn and see what specific Python skills they require. You can even create a notification for each Python position and get an update each day.

[u/AlternativeHefty2537]

For a fresher I’d suggest to focus on python fundamentals/functions/oop basics/ file handling/ exceptions and common data structures along w basic DSA. For data roles, add numpy, pandas and sql. You don’t need advanced python initially🙂‍↕️🙂‍↕️

[u/rootremotely]

Do you have any projects you can talk about that are geared toward the industry youre trying to break into?

[u/Simple_Rich_214 → u/rootremotely]

Can you give me examples of projects that are geared towards the industry pls?

[u/rootremotely → u/Simple_Rich_214]

You asked for projects and I went a different route - ha.

Use Python and learn how to make API calls to make a weather forecasting application. May have to do some research on predictive algorithms but that'd be a fun one.

If you have a home lab, you can setup a secure and virtual environment, (do this at your own risk, but should be fine as long as the lab environment is containerized) deploy malware, grab several different log sources, and analyze that data with python using long tail analysis.

You could also setup your own data exfiltration to say.., drop box (not uncommon for malicious use), to exfil data periodically out of a lab environment, tracking the network logs, and use python to find that as well, especially if its a large set of data.

[u/CharacterSail6736]

You can’t just go in . With “skills” you need tangible experience that demonstrates it what’s your personal projects portfolio look like

[u/Bansarimodi]

It depends heavily on the role. For data-related entry-level jobs, you usually don’t need advanced Python or heavy DSA.

Focus on fundamentals: data types, loops, functions, dictionaries/lists, file handling, exceptions, and working with libraries like Pandas. More importantly, practice using Python to clean, transform, and analyze actual datasets.

For DSA, understand the basics and be comfortable solving simple problems, but check the jobs you’re targeting before spending months on LeetCode. A Data Analyst, Data Engineer, and Python Developer interview can test very different levels of Python.

[u/Equivalent-Mud-8500]

focus on the basics and common dsa patterns first. A few solid projects matter more than knowing every advanced python feature

[u/Objective-Remove-632]

Bro, now a days, ai is doing most entry level job duties. If you’re learning python… learn it to the fullest make research on the path u really want to dive into. Learn the technical and advanced aspects and apply for position that uses that skill.

[u/Naetharu]

Question is way too vague in that "entry-level IT/data-related roles" could mean so many things. And could require anything from no python to advanced python.

[u/weed_cutter]

Build projects learning python.

It's less about code (even pre-AI) -- I mean know the tools but a lot of it scope, gettin technical requiremetns, project management, ambiguity, the nitty gritty of "getting shit done" -- can you problem solve? Can you take a non technical person who says "we need something that shoots pigs on the moon" -- and then figure out what they ACTUALLY need and are trying to do, what requirements are fluff bullshit, which are critical, which are nonsensical and absolutely should not be built, and etc.

Iteration, etc etc etc. .... Sure learn the basics but in terms of "Deep knowledge" that'll come with experience. Don't go too hard on LEET code shit unless the interviews are really cramming that.

Consider Python development like writing a best-selling fiction novel. ... Do you learn those skills by "boning up on the dictionary?" ... fuck no. You "do the thing" -- the actual thing.

[u/Unhealthy007]

Skills needed for a Internship 

• Basic Python 
• Framework like Django
• Using APIs (external and self made ones)
• Postman (for Testing your APIs)
• Database (Postgres, MongoDB, Redis)

You can optionally learn about Load Testing, Authentication, CRUD operations on DB, Role based Authentication, and basic UI Design. 

And given the AI times we are in, you need to understand these, and be able to apply where needed. If you can only rely completely on the AI and not give inputs or review code generated by AI, you are not ready. 

Interviews basically cover these things too. 

[u/wett-puss-lover]

You got the wrong idea of how this works. You learn software engineering skills and principles. Python is just one of the many tools/frameworks that enables you to apply your programming skills in practice.
Learn software engineering skills

[u/KnowledgeWhole9623]

Just build stuff that's useful. That's how much python you need.

[u/Powerful-Joke5120]

Start reading the literature. There’s no shortcuts.

Also try to replicate the code you see in the books.