TLWI Python #51

Welcome back to our weekly newsletter, fellow tech enthusiasts! We've got a bunch of exciting reads for you this week, so make sure to grab your coffee and settle in. First up, we've got a fantastic article on why you should use Pipenv as a Python Developer - there's no denying that Python development can be a little messy when it comes to dependency management, but Pipenv makes it a breeze. So if you're looking for a more streamlined and efficient way to manage your Python projects, make sure to check out this piece!

Next, we've got something that's sure to interest all of you AWS aficionados out there - generating an Instancing Rightsizing report via Lambda! This article dives deep into the world of Lambda functions and how they can be used to automate the task of generating Rightsizing reports for your instances. So if you're someone who's always on the lookout for ways to optimize your workflows, you definitely don't want to miss this one.

Moving on, we've got a great piece that combines two of our favorite things - Django and GraphQL! Elevate Your Django Projects with GraphQL integration will walk you through the process of adding GraphQL to your Django projects, which can be incredibly useful for building more efficient, fast, and scalable APIs. So whether you're a seasoned Django developer or just starting out, this article is sure to come in handy.

Up next, we've got something that's sure to appeal to all our data science buffs out there - Leveraging the pipe method to write beautiful and concise data transformations in pandas. For those of you who may not be familiar with pandas, it's a powerful data manipulation library for Python that's widely used in data science circles. This article highlights the use of the pipe method, which can help you write more elegant and concise code when transforming your data - so if you want to add some flair to your data wrangling skills, be sure to give this read a go!

And finally, we've got something a little more niche but incredibly fascinating - scraping Google Lens with Python. Google Lens is an image recognition technology that can be used for everything from identifying objects to translating text, but what if you wanted to tap into that power programmatically? This article shows you how you can do just that using Python, so if you're looking to flex your automation muscles a bit, don't miss out on this one.

That's all from us for this week, folks. We hope you enjoy reading through these articles as much as we did putting them together! As always, if there's a topic you'd like to see us cover in future newsletters, feel free to drop us a line. Have a great week ahead!

Dennis

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The Last Week In Python is a weekly roundup for all things Python! Follow me on Twitter for more projects @dennisokeeffe92.