If you’ve been learning Python and want to test your knowledge, we highly suggest you give Jeffrey’s repo a shot before

The repo Project Based Learning is packed with tutorials for various programming languages with a specific focus on being project-oriented. On visiting his repo, you’ll notice a huge list of over 20 programming languages, we’ll be focussing only on Python for this write-up but feel free to check the projects from other programming languages.,This repo covers the various aspects of TensorFlow for Machine Learning in Python, such as all the necessary information related to its introduction, installation, and loads of other valuable resources. These resources include official tutorials, blogs, videos, and much more to help you make the most out of TensorFlow for all your Machine Learning projects and tasks.,The Awesome Python repo is the second entry in our list of top GitHub Repos for learning Python to feature such crazy high statistics. The Awesome Python repo is a thoughtful yet enormous collection of Python frameworks, libraries, tools, and other handy resources. The repo has listed over 90 different categories for individual projects or topics including admin panels, data validations, computer vision, algorithms and design patterns, ChatOps tools, and so much more.,A vocal minority of voluntary contributors to OSM seem to have a bit of a chip on their shoulder when it comes to the suits. A consistent undercurrent that I’ve noticed is skepticism about the motivations and incentives of for-profit firms. Here’s a typical sentiment excerpted from Serge Wroclawski’s magnificently controversial blog post, Why OpenStreetMap is in Serious Trouble (published in February of 2018).,Now, this repo is for an official Google product called TensorFlow, which does wonders in the field of Machine Learning, making it accessible to developers across various platforms, such as desktop, mobile, IoT, and JavaScript.,I’m in no position to comment on most of the things I write about. But in this instance, I’m particularly unqualified — OSM has amassed a long-lived, fantastically diverse, and inherently fragmented community. I’ve never even commented in one of the forums.,I think the playing field has changed significantly since Serge wrote those words — he was likely referring to projects like CloudMade (now defunct) and Mapbox ,which sought to offer generic map services on top of OSM’s dynamic map database (rather than enhance in-house products where mapping is ancillary to their core value proposition like it is for FAAM). He makes an interesting argument that OSM itself should be offering these services rather than letting companies piggyback on the efforts of countless volunteers while capturing all of the economic value.,Many of the founders of the project, as well as others, have launched commercial services around OSM. Unfortunately, this creates an incentive to keep the project small and limited in scope to map up the gap with commercial services which they can sell.,This is sloppy and hides intent if you ever reference it more than once. Referencing person[0] all over the place in your code will make it difficult to interpret what value that should be. There is a very simple fix for this that does not hide your intent and makes your code more readable. Simply assign this to a variable and, if possible, destructure the entire list into appropriately named variables as well. Let’s look at an example of putting this into practice:,“[…] none of these companies is essential to OpenStreetMap. They are contributors, but OpenStreetMap could work perfectly well without them […] the mainstay of OpenStreetMap is the millions of hobbyists, individuals that contribute to OpenStreetMap.,It is because if you picked Python intending to get into Machine Learning, this repository presents a crucial step in your Machine Learning journey. Do keep in mind that this repo assumes you already know the core concepts of Python with a bit of introduction to Machine Learning.,Moreover, the repo also provides links to useful books, newsletters, podcasts, and web series dedicated to making Python easier for everyone. If you work with Python, this repo deserves to be in your go-to list of Python resources just for the sheer number of all-around convenient resources it offers.,But one thing that is clear even to a casual observer like me: one of the consequences of increased corporate involvement in OSM is a significant backlash from members within the OSM community that feel the community (and data) is being irreversibly adulterated by these profiteering intruders.,Jeffrey Hu’s GitHub repo is a fairly straightforward one. His repo has more than 100 Python programming challenges that cater to new developers, intermediate developers, as well as veteran professionals. Jeffrey also has a website that teaches you foundational Python in the form of comics, which you can also use, but unless you know Chinese, you would be hard-pressed to understand it.,Also interesting to note is Mapbox’s apparent decision to stop investing significantly into direct OSM edits and contributions. Apple was responsible for more edits in 2019 than Mapbox accounted for in its entire corporate history…I don’t have a good explanation for that. I wonder if they decided their effort could be more highly leveraged on core web mapping technology rather than manual digitization.