100 Days of Coding in Python

Description

Welcome to an intense session during which you will learn Python. This book will be your friend for the next 100 days to help you along the journey of learning the fundamentals of Computer Science and how to program them in Python. This book will provide you step by step focused daily theory and practice to help you master 1. programming foundation in Python; 2. main algorithms concepts; 3. popular data structures that you will encounter often in your life as a programmer; 4. design patterns that will help you in writing marvelous code. Why this Book Sure enough plenty of books have been written on Python and the official documentation is - and always will - remain the source of knowledge. A go-to for doubts. However, this book has been specifically designed to walk you through - step by step - not only Python syntax but also fundamental of computer science that will make you a well-rounded programmer. Who This Book is Meant For If you are new to programming - in general - this book is right for you. Indeed it walks through the core concept of programming as well as detailing relative Python implementations. Table of Contents Preface Why this Book? Who This Book is Meant For Part 1 - The Basics Introduction The Study Plan Where it All Begins Fundamentals The beloved hello world The command line .py code The main Coding Practice of the day Basic Input/Output Output manipulation Give it to me! Basic Types Numeric Types Strings Other types Coding Practice of the day Structure of a Python Program Statements and Expressions Functions Modules Packages Modular Programming Import Absolute vs relative Importing a package Putting it all together Coding Practice of the day Variables Referencing Keywords What To Avoid Convensions Coding Practice of the day Python Objects Class Initialization Attributes Methods Functions @properties Coding Practice of the day Polymorphism Inheritance This is…Super! Overload Override Types of Inheritance Coding Practice of the day Composition Rule of Thumb Coding Practice of the day Conditional Flows If statement Multiple Checks Membership Coding Practice of the day Loops While For Further Modifying the Flow Break Continue pass Coding Practice of the day Error Handling Coding Practice of the day Documentation The Syntax If the Code is Good I don’t need Comments Philosophy Conditions and Flows IO Definition Inline Comments TODOs That's Obvious Did you just lie to that programmer? Comments Driven Development (CDD) Coding Conventions Coding Practice of the day Part 2 - Algorithms Introduction Recursion Coding Practice of the day Iteration Coding Practice of the day Greedy Agorithms Thinking Greedy Coding Practice of the day Dynamic Programming Coding Practice of the day NP-Hard problems Coding Practice of the day Part 3 - Data Structures Introduction Intro to Data Structures Array Internals Coding Practice of the day Linked-List Internals Coding Practice of the day Doubly Linked-List Internals Coding Practice of the day Stack Internals Coding Practice of the day Queue Internals Coding Practice of the day Hash Map Internals Coding Practice of the day Binary Search Trees Internals Coding Practice of the day Takeaway Further Reading Part 4 - Design Patterns Introduction Design Patterns Creational Singleton The code Don'ts Coding Practice of the day Lazy Initialization The Code Don'ts Coding Practice of the day Builder The Code Don'ts Coding Practice of the day Abstract Factory The Code Don'ts Coding Practice of the day Factory Method The Code Don'ts Coding Practice of the day Structural Adapter What How When Don'ts Coding Practice of the day Decorator What How When Don'ts Coding Practice of the day Facade What How When Don'ts Coding Practice of the day Composite What How When Don'ts Coding Practice of the day Behavioural Observer What How When Don'ts Coding Practice of the day Publisher-Subscriber What How When Don'ts Coding Practice of the day Iterator What How When Don'ts Coding Practice of the day Visitor What How When Don'ts Coding Practice of the day State What How When Don'ts Coding Practice of the day Chain of Responsibility What How When Don'ts Coding Practice of the day Part 5 - Solutions The Basics Basic types Structure of a Python Program Variables Python Objects Polymorphism Conditional Flows Loops Errors Documentation Algorithms Data Structures Array Linked-List Stack Queue HashMap Binary Search Tree Design Patterns Conclusions About the author More from Giuliana Carullo More from Giuliana Carullo Feedback and Errata References