Studying in the Internet means swimming in an infinite jungle of chaotic information, even more so in rapidly changing innovative fields.
Have you ever felt overwhelmed when trying to approach a new subject without a real “path” to follow? Were you hindered from obtaining deep knowledge and the ability to apply it?
Hi, I'm Virgilio.
Like I did with Dante, just some centuries ago, I'll be your mentor and reference point during your journey through the Internet, providing you complete and organic learning paths for several fields, tools, skills and more.
I've tried to be concise to avoid information overhead.
I organized the contents hierarchically and by the level of complexity to give you a coherent idea of how things work.
You will learn to understand and apply theory with hands-on projects and by carefully following my hints and tips, you will master new skills from scratch.
You do not require any prior knowledge of the topics, but be confident with programming and high school-level math to understand and implement most of the concepts.
Every source listed here is free or open source.
My biggest interest is Data Science since I tried to predict the fall of Jerusalem, but you know, at that time we didn't have so much computational power!
I've packed several types of guides for you:
- Careers: complete learning paths that guide you through mastering a new skill from scratch.
- Topics: comprehensive guides about a specific topic, methodology and real-world application organized by sub-field.
- Specializations: vertical guides on individual skills.
- Tools: in-depth guides on a single tool or technology.
- Research: Up-to-date review and explanation of state-of-the-art papers and technical documents.
- Meta: these are mostly guides on how to study and approach new concepts.
If you find this repository useful, I ask you to leave a star, share it with your friends and colleagues and click on "watch", because this is being updated daily!
My objective is mostly to help people out there getting started with innovative fields and technologies, and even if you've never tried to write code, or you need a deep math review, I'll give you this kind of basis as well. So, you can be a student, a worker in another field or a manager, and you'll find here everything you need to be prepared for the disrupting and unpredictable transformation of the market and society that will happen for sure during the next years.
- Latex
- GeoGebra
You can take them in order or choose the one that fits you the most, but I recommend you to walk through them all at least once.
I've planned two types of Specializations: Hard skills and Soft skills
The former is about technical processes that are the core toolkit for everyone working with data. Working with data is an art form, and the rules of thumb and best practices will help you understand the way to deal with them. You need to develop a "sense" of what to do with the data and this "sense" is primarily driven by the situation and the experience. Because of that, these specializations will be strongly focused on exercises and practice.
The latter is about... everything that's not written in technical books. Use and master them, because they are the real value enabler for you. You can be the best developer or engineer in the world, but if you can't communicate your suggestions and discoveries to your audience, or use data to suggest practical actions in the real world, you're useless for a company.
Single topics will be split by field and they can touch real-world applications, methodologies, technological stacks, best practices and more.
The Tools section will host several guides about everything you need to know about a particular technology/language/methodology! They will give you a means of thoroughly exploring and mastering the tool at hand.