Python for Professionals: Real Work - Data, AI, and Automation: 7

You already know some Python. This book puts it to work. Where this book came from After Python for High School Students, one question kept coming back from readers: this is great, but what do I actually do with it at work? This book is the answer. It is not a revised edition of that one - it is the next step, written for readers who already have the basics and now want to aim them at a real job. You do not need the first book to start here. If you read it, Chapter 1 will feel like sitting back down at a familiar desk. If you did not, but you already know variables, loops, lists and functions, you can begin comfortably. What you do not need is a computer science degree, a data science background, or years of experience. Almost nobody gets paid to build a guessing game. People get paid to answer questions like: " Which product sold best last quarter? Why did this report take four hours to build by hand? Can you clean up this spreadsheet before Friday's meeting?" Python for Professionals is about that kind of Python - the kind that shows up in a real job, on a real deadline, solving a real annoyance. Every dataset in it is deliberately messy. Every script actually runs. Nothing is a toy example. What you will be able to do - Clean genuinely messy spreadsheets with pandas - missing values, inconsistent text, duplicate rows, broken dates- Find real answers in data using grouping, sorting, and multi-statistic summaries- Turn numbers into charts worth sharing with matplotlib, including presentation-ready styling- Call an AI model from your own code and get structured JSON back that you can actually use- Pull live information from the internet through APIs - and handle it properly when the internet misbehaves- Automate the boring parts - bulk file renaming, merging dozens of reports, emailing them on a schedule- Analyse online store data, track money with a running balance, and read code you did not write yourself Written for people with jobs, not homework Thirteen focused chapters, each building directly on the last. Three complete working projects. Thirteen sets of practice exercises pointed at your own real work rather than invented scenarios. Plus a 50-question practice test with a full answer key, and a professional quick reference card covering environments, pandas, charts, APIs and automation on a few pages you will keep open beside you. What you will not find >Learn it today. Use it Monday.