First off, if you already know SQL using SQLAlchemy will be a joy. You already know the concepts which are the same, but you can talk to your database in Python. SQLAlchemy can be daunting at first, but it's a superb mega-library, and the fact you already know SQL will alleviate some issues newcomers face. Is there any tutorial for this, one that combines the web scraping with the SQL aspect? Could be simple just to give me an idea. Instead of looking for a tutorial that combines the above I'd go the other way around, because that's also how you'd solve problems in your programs: split them into smaller ones. So first, figure out the scraping part: have your code print out the player's name, ID, and the stat ( here's one tutorial on BS ). Once you have that working for you, create your database models (tables) with SQLAlchemy, and save them to your database. SQLALchemy's documentation is lengthy but very detailed and clear in my opinion. Here's a relevant snippet from my own code: # models.py - where you define your database schema and tables class Match(db.Model): # TODO: deal with game status id = db.Column(db.String, primary_key=True) date_time = db.Column(db.String, index=True, nullable=False) url = db.Column(db.String, index=True) # Many side of many to one with Round round_id = db.Column(db.String, ForeignKey('round.id')) round = db.relationship("Round", back_populates="matches") home_team_id = db.Column(db.ForeignKey('team.id')) away_team_id = db.Column(db.ForeignKey('team.id')) home_goals = db.Column(db.Integer, index=True) away_goals = db.Column(db.Integer, index=True) finished = db.Column(db.Boolean, nullable=False, index=True) # script.py - how a Match object is created obj_match = models.Match( id=match_id, date_time=final_arrow.datetime, round=obj_round, home_goals=team_a_score, away_goals=team_b_score, home_team=obj_team_a, away_team=obj_team_b, finished=match_finished, url=match_url ) db.session.add(obj_match) db.session.commit() The above is how the code creates a Match record in the database using SQLAlchemy. team_a_score is just a Python variable, the contents of which could have been scraped or acquired from an API. What is and should I use SQLAlchemy? From what I understand, developers can use databases without having to use a database shell. I think I should get the experience of doing it from scratch. What say you? As I said, it's a joy to use. SQLAlchemy lets you do 99% of what you can do with SQL, only without having to use SQL's syntax. And it actually does not prevent you from using native SQL in case you need it for some reason. Bonus question: I'm not sure which sort of path I want to go down with programming. I have dabbled with Python, R, HTML and CSS, and SQL. I like R and SQL the most. Python feels the most practical and important in case I want to do web development. Any tips on choosing a path? HTML and CSS - front-end stuff that's good to know if you want to do web-related projects. SQL is language specifically for relational database management systems. R is a programming language used mainly for statistical computing. You can won't be able to do web development with R. It really boils down to what you want to be able to achieve. More on reddit.com

I guess contacting the company about this and showing a good attitude and you're willing to help maybe will be beneficial. Of course you should have a lawyer so they can't flip up on you but if you reach an agreement with them you might get some bucks out of it. ABSOLUTELY DO NOT SHARE THE BUG WITH ANYONE though. More on reddit.com

With the source, they can do white-box analysis of the code to make it easier to find existing holes in the system that could be exploited. If they find somewhere that does incomplete input validation for example, they may be able to use that to inject code, or cause other unexpected behavior. Normally attackers would need to poke the outside of the box, see how it responds, then use that to infer what the internal code may be doing and how it could be exploited. With a source leak, they can just "open the box" and look inside. More on reddit.com

there are countless hours of tutorials, documentation, examples, practical excercises on any search engine for all of these topics. how is this one different? More on reddit.com