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100 Days of Python, Projects 58-65 #100DaysofCode

Judging by the comments on the lessons, The lessons are getting harder, though frankly, I am finding they are a bit easier.  I feel like my experience with Web Design is a lot of this.  I also have been looking a bit into how to properly host some of these apps to share here, on my Code Projects Page.  I believe I could set them up to run on a production Flask environment, with different ports, then just map sub directories n the domain to different ports. But I am doing my best not to get distracted.  Yes, I have…
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100 Days of Python, Projects 54-57 #100DaysofCode

Back to web development again, but with a different twist this time.  Instead of scraping things, we're learning Flask, to produce little Python based Websites.  In doing these exercises, I find I am kind of wondering why one would use Python over say, Apache, or NGINX or even IIS.  I can sort of see where it's useful, and maybe later we will get to more of it's usefulness.  My primary issue is that the HTML code part of it ends up being VERY specifically Flask based.  Like flask looks for images and CSS in specific folders.  Plus if you use…
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100 Days of Python, Projects 51-53 #100DaysofCode

Here we are now with a few more automated bot tasks.  It's been a fun series of lessons, though I enjoyed using Beautiful Soup more then Selenium.  Selenium runs into too many anti-bot measures on the web to be truly effective.  I mean, it's definitely a useful too, but in my experience, it's not reliable enough.  BS seems to be much more effective, though it can't really interact with pages. In the long run, I think I am more just irritated by "clever bull shit" on web pages that makes both pieces of software a pain to work with. Take…
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100 Days of Python, Projects 45-50 #100DaysofCode

Things are continuing to be interesting and useful here with the introduction of Beautiful Soup, a tool used to parse unstructured data into usable structured data.  Well, more or less that's what it does.  Useful for parsing through Scraped Web Page data that does not have it's own API available. As normal, everything is on GitHub. Day 45 - Must Watch Movies List and Hacker News Headline Scraper As an introduction to using the tool, Beautiful Soup, we had two simple projects.  The training project actually feels more useful than the official project of the day, though I also remixed…
Github.io and Web Dev of the Past
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Github.io and Web Dev of the Past

So, technically this is part of the 100 Days of Python I have been writing about here, Days 41-44 were an "Intro to Web Development" piece, to give students a basic idea of how web pages are structured in order to give them the ability to better work Beautiful Soup in later projects.  More on Beautiful Soup on the actual "100 Days of Code Part 5" though. Now, I'm already, pretty good at Web Development. I won't say I am "professional level" (hellooooo Imposter Syndrome), but I'm pretty good and I've done actual web dev work for some small projects…