100 Days of Coding
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100 Days of Coding

In Python

About the Book

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. 

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About the Author

Giuliana Carullo
Giuliana Carullo

Giuliana Carullo - CCSK, PSM certified - is a Research Engineering Manager at Tenable. She has grown her expertise mainly in the Networking, Security, Cloud Computing, Telecommunications and Internet of Things industries. She dealt with research in all the application fields - from academia to industrial research within SMEs and Corporate Companies. Giuliana has 15+ years of software engineering background, meanwhile, she has been doing research for 7+ years, 5 of which in the InfoSec area. Author of 15 research papers and 5+ books, she loves to make even difficult concepts easy to grasp.

Giuliana is in love with the intersection point between science and human behavior. She believes that there is more than one way to good, much more to do bad, but she ends up being really opinionated on what good is.

In her spare time, she loves to write and to help others in doing their best at their jobs and with their careers.

Check out some more on www.giulianacarullo.com or some articles:

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

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