100 Days of Coding in Python

A structured Python workbook for steady progress 💻

100 Days of Coding in Python is a guided Leanpub ebook by Giuliana Carullo that takes a step-by-step approach to learning Python and the computer science ideas that sit around it. Rather than presenting Python as a loose collection of tips, it follows a day-by-day learning rhythm with theory, practice, and repeated coding exercises.

The book is especially appealing if you like learning with a plan. Its contents move from the fundamentals of Python into broader programming topics such as modular programming, error handling, documentation, algorithms, data structures, and design patterns. That mix gives the book a practical, well-rounded feel: you are not only learning how to write Python, but also how to think like a programmer.

What the book covers

• Python basics and core syntax
• Input and output, numeric types, and program structure
• Objects, polymorphism, inheritance, and composition
• Conditional logic, loops, and error handling
• Algorithms, data structures, and design patterns

Built for learners who want structure

The publisher page describes this as a book for readers who are new to programming in general. That makes it a sensible choice for beginners who want more than a quick reference and prefer a paced, cumulative introduction. The repeated practice sections suggest a hands-on style rather than a purely theoretical one.

Why it stands out

Some Python books stop at syntax. This one tries to connect syntax to the broader habits of software development, which is useful if you want your learning to transfer beyond a single exercise. It is a compact, focused title with a clear learning path—ideal for readers who want their Python study to feel organized from the first page to the last.

Available as a digital Leanpub edition.