Advanced Python Boilerplate

Content Chrome: uses 500 MB to open 3 tabs Python: uses 10 GB to parse a 50 MB XML file

Content Sr Fullstack Developer at Canadian Wealth 7k-12k No equity Are you tired of looking for the next project to work on? This opportunity is for you. We are looking for highly motivated candidate that wants to join a fast growing startups based in Canada. As a Fullstack Developer, you will be responsible for the server-side web application logic as well as for the integration of the front-end part. If you have outstanding programming skills and a great passion for developing beautiful, innovative applications, then you will love this job. The Job: Set the technical direction and standards for vour team Work collaboratively with other team members Full responsibility for your application (deploy, monitor, and maintain) Design database and client-server architecture The Ideal Candidate: 4 years experience with web frameworks Proven experience with Laravel, PHP, HTML, JavaScript, Node.js, Mysql Proven experience with CSS, SCSS, Javascript, query Expert knowledge of API architectures concepts Save Apply Location Remote Calgary Job type Contract Visa sponsorship Not Available Hires remotely in India Nigeria Experience 2 years Skills PHP Javascript jQuery MySQL MongoDB HTMLCSSPHPMYSQL Laravel Blade Templating Hiring contact Alexandre Cam... CEO 5 years

Content STOP making fun of different programming languages C is FAST Java is POPULAR Ruby is COOL Python is BEAUTIFUL Javascript Haskell is INTRIGUING

When your girlfriend questions her position in your life, just tell her she's at index [1] in your array of interests. She'll think she's second place, but little does she know arrays start at 0, making her actually second-to-last in your priority list. Genius level relationship deception using computer science! The real question is what's at index [0]? Probably debugging that recursive function that's been keeping you up for three nights straight.

Content Corporate needs you to find the differences between this picture and this picture Deep Neural etwork They're the same picture.

That visceral reaction when someone dares to mention Python and scalability together! Python's GIL (Global Interpreter Lock) is basically the relationship counselor that says "one thread at a time, please" - making true parallelism about as realistic as finishing a project before the deadline. Sure, you can use multiprocessing, but at that point you're just spawning separate Python instances like tribbles on a starship. The background presentation ironically warns about "investing in new frameworks without validating the problem first" while Python devs are frantically trying to AsyncIO their way out of performance bottlenecks. It's the language equivalent of bringing a butter knife to a gunfight and insisting it's actually a Swiss Army knife.