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Thursday Daily Thread: Python Careers, Courses, and Furthering Education!
u/AutoModerator avatar AutoModerator

Weekly Thread: Professional Use, Jobs, and Education 🏢

Welcome to this week's discussion on Python in the professional world! This is your spot to talk about job hunting, career growth, and educational resources in Python. Please note, this thread is not for recruitment.

How it Works:

  1. Career Talk: Discuss using Python in your job, or the job market for Python roles.

  2. Education Q&A: Ask or answer questions about Python courses, certifications, and educational resources.

  3. Workplace Chat: Share your experiences, challenges, or success stories about using Python professionally.

Guidelines:

  • This thread is not for recruitment. For job postings, please see r/PythonJobs or the recruitment thread in the sidebar.

  • Keep discussions relevant to Python in the professional and educational context.

Example Topics:

  1. Career Paths: What kinds of roles are out there for Python developers?

  2. Certifications: Are Python certifications worth it?

  3. Course Recommendations: Any good advanced Python courses to recommend?

  4. Workplace Tools: What Python libraries are indispensable in your professional work?

  5. Interview Tips: What types of Python questions are commonly asked in interviews?

Let's help each other grow in our careers and education. Happy discussing! 🌟

Advertisement: My board asked if AI is making our engineers faster. I didn't have a good answer.
My board asked if AI is making our engineers faster. I didn't have a good answer.

This is the question that caught me off guard in a board meeting last quarter. We'd invested in AI coding tools across the org. Engineers liked them. Sprint velocity numbers looked fine. But "fine" isn't an answer when you're spending six figures on tooling.

The real issue is that none of the tools we were using could connect AI usage data to business outcomes. Copilot shows acceptance rates. Jira shows tickets. Git shows commits. But nobody was stitching those together to answer: "Is AI actually helping us ship better software, faster, at lower cost?"

That's the problem Hivel solves. It sits across your existing tools and gives you one view of engineering performance, including exactly how AI tools are (or aren't) impacting delivery metrics.

If you're heading into a board meeting or budget review and need real numbers on AI ROI, they have a free report that maps your team's AI adoption to actual delivery outcomes. No credit card, no sales pitch, just data.

When do you actually need residential proxies? Python developers scraping websites
u/Radianceitude_7 avatar u/Radianceitude_7
When do you actually need residential proxies? Python developers scraping websites
Discussion

I am trying to build a small python project that will scrape product pricing data from a few e-commerce sites.

I'm looking into deployment options and I keep seeing discussions about datacenter proxies, residential proxies and ISP proxies. Most of the articles explain the difference, but I can't get my head around how it works in practice.

For those of you who have written scraping or data-collection tools in Python:

When do datacenter proxies stop being good enough? * Do you only need residential proxies at larger scale? * How do the ISP proxies compare to the other two? * Do you think that proxy choice is more important than request rate limiting, retries and good scraper design?

I'm really interested in real world experiences from python developers, not marketing descriptions from proxy providers.

Offering 1-on-1 English & Python Tutoring (Online)
u/Complex-Sea-6456 avatar u/Complex-Sea-6456
Offering 1-on-1 English & Python Tutoring (Online)
Resource

[Offer] 1-on-1 English & Python Fundamentals Tutoring (Online | $40 AUD/hr)
Hi everyone!
I’m a Computer Science student at the University of Melbourne offering one-on-one tutoring in both English and Python fundamentals.
📚 English Tutoring
Whether you’re an international student or just looking to improve your English, I can help with:
Speaking and conversation practice
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More natural, native-like English
Text message corrections and explanations throughout the week
💻 Python Fundamentals
If you’re just starting programming, I can help you understand the concepts instead of just memorising code. Topics include:
Variables and data types
Input/output
If statements
Loops
Functions
Lists, dictionaries, and sets
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University introductory programming assignments (guidance only)
I believe learning works best when you understand why the code works, so I explain concepts step by step and encourage lots of questions.
Rate: $40 AUD/hour
Format: Online (Zoom/Google Meet) or in person around the University of Melbourne.
Feel free to send me a DM if you’d like to chat or see if I’d be a good fit for your learning goals.