PhysicsExamples2D VS Flask

Install Unity Hub from Unity's official website.

Sooo. Unity. It's a 3D game engine created by a company of the same name. It was published in 2005 and is one of the most used game engines in the world due to its simplicity, the number of documents, and the easy way to publish games on all platforms.

Unity is a popular game engine and development platform that is widely used for creating games, as well as augmented reality (AR) and virtual reality (VR) applications. It provides a comprehensive set of tools, libraries, and features that enable developers to build interactive and immersive experiences across various platforms.

Creating 3D Videos: After downloading the desired models, you can import them into 3D software like Unity or Unreal Engine. These platforms allow you to create 3D scenes and animations, which can be exported as video files.

The next step I need help with is finding the right platform to market myself on. I’ve already been recommended Unity and Yahaha. Any guidance related to these will be appreciated, and if you have experience or recommendations for similar platforms, I'd love to hear your thoughts.

Also, if you really want to make a game, you could try learning C# (it's very similar to Java) and use https://unity.com/ (Unity 3D is free if you have less than $100K of revenue/funding within the past 12 months).

Used utilities and software: Unity game engine Audacity Figma

I'd suggest Flask or some of the smaller projects in the Pallets ecosystem:

https://github.com/pallets/flask

#!/usr/bin/python # # https://flask.palletsprojects.com/en/3.0.x/installation/ # from flask import Flask, jsonify, request contacts = [ { "id": "1", "firstname": "Lorem", "lastname": "Ipsum", "email": "[email protected]", }, { "id": "2", "firstname": "Mauris", "lastname": "Quis", "email": "[email protected]", }, { "id": "3", "firstname": "Donec Purus", "lastname": "Purus", "email": "[email protected]", } ] app = Flask(__name__, static_url_path='', static_folder='public',) @app.route("/contact//save", methods=["PUT"]) def save_contact(id): data = request.json contacts[id - 1] = data return jsonify(contacts[id - 1]) @app.route("/contact/", methods=["GET"]) @app.route("/contact//edit", methods=["GET"]) def get_contact(id): return jsonify(contacts[id - 1]) @app.route('/') def root(): return app.send_static_file('index.html') if __name__ == '__main__': app.run(debug=True)

I was looking at all the big projects like numpy, pytorch, flask, etc.

Explore here.

I may use Flask-Admin initially to offload the "CRUD" operations to have an initial prototype fast but then drop it ASAP because I don't want to write a "flask-admin application" to fight against later on. If the application is mainly "CRUD", then Flask-Admin is suitable.

Now...

Would you do a breakdown/list of all the jobs you've done by sector/vertical and by function/role and by application functionality?

- [0]: https://flask.palletsprojects.com

- [1]: https://flask-admin.readthedocs.io/en/latest

- [2]: https://flask.palletsprojects.com/en/2.3.x/patterns/celery

- [3]: https://sentry.io

- [4]: https://posthog.com

- [5]: https://www.docker.com

In the lab to follow, we will be setting up an end-to-end DevOps workflow for a Flask microservice with GitHub Actions, using a self-managed custom runner for maximal control over the pipeline execution environment and automating deployments to a local Kubernetes cluster. Furthermore, we will construct separate pipelines for our "development" and "production" environments to further elaborate on the concepts of continuous deployment and delivery.

Flask Micro web Framework: You will use Flask to build a Flask web application.

In an earlier post I mentioned a bunch of Open Source web applications. Let's now focus on the ones written in Python using Flask the light-weight web framework.