Angličtina
Python is the industry standard for modern software development, known for its readability and ability to integrate into virtually every domain, from scripting to complex system design. This book is your practical guide to moving beyond Python basics and mastering the art of building complete, deployable applications.
Each chapter blends essential concepts with hands-on practice, covering automation, APIs, web scraping, data visualization, database integration, and cloud deployment. You will work with popular libraries and frameworks like Flask, FastAPI, Pandas, SQLAlchemy, and BeautifulSoup while learning to structure projects, manage dependencies, and apply professional development practices. Every chapter concludes with a hands-on exercise, from CLI tools and data pipelines to full web applications and portfolio websites. These projects not only reinforce learning but also give you tangible, portfolio-ready examples to showcase to employers or clients. This book takes you step-by-step through real-world projects, starting from simple MVPs and progressing to enterprise-ready solutions.
By the end of this book, the readers will gain skills in testing, code optimization, documentation, and scalability, preparing them for real-world challenges. You will have a polished collection of Python projects, the confidence to tackle complex problems, and the knowledge to take your coding career to the next level.
WHAT YOU WILL LEARN
● Build complete Python applications from concept to deployment.
● Master project structuring, automation, APIs, databases, testing, and visualization.
● Tackle real-world software challenges.
● Web scrape HTML with BeautifulSoup and persist data to SQLite.
● Implement pytest unit and acceptance testing; measure test coverage.
● Build pandas data pipelines with Pydantic validation and scheduling.
WHO THIS BOOK IS FOR
This book is for beginner to intermediate Python developers who want to move beyond basic programming and build real-world projects. It is ideal for those eager to create practical applications, strengthen their coding skills, and showcase their work through deployable, portfolio-ready solutions. Basic Python knowledge is recommended, but no prior experience with advanced tools or frameworks is required.
