The Self Taught Computer Scientist PDF Book

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The Self-Taught Computer Scientist

Author : Cory Althoff
Publisher : John Wiley & Sons
Release : 2021-09-16
Category : Computers
ISBN : 9781119724339
File Size : 51,8 Mb
Total Download : 719


Book Summary: The Self-Taught Computer Scientist is Cory Althoff's follow-up to The Self-Taught Programmer, which inspired hundreds of thousands of professionals to learn how to program outside of school. In The Self-Taught Programmer, Cory showed readers why you don't need a computer science degree to program professionally and taught the programming fundamentals he used to go from a complete beginner to a software engineer at eBay without one. In The Self-Taught Computer Scientist, Cory teaches you the computer science concepts that all self-taught programmers should understand to have outstanding careers. The Self-Taught Computer Scientist will not only make you a better programmer; it will also help you pass your technical interview: the interview all programmers have to pass to land a new job. Whether you are preparing to apply for jobs or sharpen your computer science knowledge, reading The Self-Taught Computer Scientist will improve your programming career. It's written for complete beginners, so you should have no problem reading it even if you've never studied computer science before.

The Self-Taught Programmer

Author : Cory Althoff
Publisher : Robinson
Release : 2022-01-13
Category : Uncategorized
ISBN : 1472147103
File Size : 19,8 Mb
Total Download : 859


Book Summary:

Classic Computer Science Problems in Python

Author : David Kopec
Publisher : Simon and Schuster
Release : 2019-03-05
Category : Computers
ISBN : 9781638355236
File Size : 43,8 Mb
Total Download : 618


Book Summary: ”Highly recommended to everyone interested in deepening their understanding of Python and practical computer science.” —Daniel Kenney-Jung, MD, University of Minnesota Key Features Master formal techniques taught in college computer science classes Connect computer science theory to real-world applications, data, and performance Prepare for programmer interviews Recognize the core ideas behind most “new” challenges Covers Python 3.7 Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About The Book Programming problems that seem new or unique are usually rooted in well-known engineering principles. Classic Computer Science Problems in Python guides you through time-tested scenarios, exercises, and algorithms that will prepare you for the “new” problems you’ll face when you start your next project. In this amazing book, you'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. As you work through examples for web development, machine learning, and more, you'll remember important things you've forgotten and discover classic solutions that will save you hours of time. What You Will Learn Search algorithms Common techniques for graphs Neural networks Genetic algorithms Adversarial search Uses type hints throughout This Book Is Written For For intermediate Python programmers. About The Author David Kopec is an assistant professor of Computer Science and Innovation at Champlain College in Burlington, Vermont. He is the author of Dart for Absolute Beginners (Apress, 2014), Classic Computer Science Problems in Swift (Manning, 2018), and Classic Computer Science Problems in Java (Manning, 2020) Table of Contents Small problems Search problems Constraint-satisfaction problems Graph problems Genetic algorithms K-means clustering Fairly simple neural networks Adversarial search Miscellaneous problems

A Programmer's Guide to Computer Science

Author : William M Springer II
Publisher : Unknown
Release : 2020-01-03
Category : Computers
ISBN : 1951204034
File Size : 38,8 Mb
Total Download : 835


Book Summary: You know how to code..but is it enough? Do you feel left out when other programmers talk about asymptotic bounds? Have you failed a job interview because you don't know computer science? The author, a senior developer at a major software company with a PhD in computer science, takes you through what you would have learned while earning a four-year computer science degree. Volume one covers the most frequently referenced topics, including algorithms and data structures, graphs, problem-solving techniques, and complexity theory. When you finish this book, you'll have the tools you need to hold your own with people who have - or expect you to have - a computer science degree.

Manual for the self-taught computer scientist

Author : Lucas Sztandarowski
Publisher : Cyberdéfenseur
Release : 2020-12-12
Category : Computers
ISBN : 9798580196398
File Size : 40,8 Mb
Total Download : 478


Book Summary: After the success in french of the "manuel de l'autodidacte en informatique", You would like to become a developer but do not want to take any certifications, learn computer science step by step at your own pace with this popularisation book written by an autodidact himself! Retrace the history and evolution of computer science, learn the basics of development and hardware step by step with clear, precise and illustrated instructions and exercises. Become a developer at your own pace by following this reference book!

Software Engineering as a Career

Author : Hasan Armstrong
Publisher : Independently Published
Release : 2021-03-27
Category : Uncategorized
ISBN : 9798719572246
File Size : 55,8 Mb
Total Download : 611


Book Summary: Starting a career as a software engineer without a computer science degree is a long and difficult journey, Hasan Armstrong discovered this whilst attempting to switch from a career in healthcare to software engineering. He now works as a software engineer and incorporates all the lessons he has learnt in this book. This book will provide a roadmap to getting a job as a software engineer without a computer science degree, as well as providing solutions to the obstacles you may face along the way, like learning new programming languages, handling interview questions, negotiating job offers and much more. Through his youtube channel, Hasan has helped several thousands of people learn to code. What you will learn in this book? How to determine if a job as a software engineer is even for you? Should you become a front-end, backend or full stack software engineer? Mindsets and habits of software engineers who seek excellence. Programming topics you will need to learn and practice before you can start applying for software engineering roles. Practices to stay healthy, avoid burnout syndrome and remain happy and fulfilled as a self-taught software engineer. Increase the likelihood of landing a software engineering role, by creating a personal brand, a CV that stands out and finding companies you want to work for. Mindsets and habits of exceptional software engineers Interviewer asks "What kind of salary do you expect for this role?" - How should you reply? You've started working as a software engineer. How can you climb the career ladder? The dark side of working as a software engineer. How should you handle workplace politics, mental health issues and technical debt? We are keen to help you land a software engineering role and help you progress in that role. So if you want to know if software engineering is for you, in the process of learning to code or applying for software engineering roles this book is worth purchasing. **Buy the paperback version of this book, and get the kindle version absolutely FREE**

The Self-taught Programmer

Author : Cory Althoff
Publisher : Hachette UK
Release : 2022-01-13
Category : Computers
ISBN : 9781472147097
File Size : 20,8 Mb
Total Download : 546


Book Summary: 'One of the best software design books of all time' - BookAuthority Cory Althoff is a self-taught programmer. After a year of self-study, he learned to program well enough to land a job as a software engineer II at eBay. But once he got there, he realised he was severely under-prepared. He was overwhelmed by the amount of things he needed to know but hadn't learned. His journey learning to program, and his experience in first software engineering job were the inspiration for this book. This book is not just about learning to program, although you will learn to code. If you want to program professionally, it is not enough to learn to code; that is why, in addition to helping you learn to program, Althoff also cover the rest of the things you need to know to program professionally that classes and books don't teach you. The Self-taught Programmer is a roadmap, a guide to take you from writing your first Python program to passing your first technical interview. The book is divided into five sections: 1. Learn to program in Python 3 and build your first program. 2. Learn object-oriented programming and create a powerful Python program to get you hooked. 3. Learn to use tools like Git, Bash and regular expressions. Then use your new coding skills to build a web scraper. 4. Study computer science fundamentals like data structures and algorithms. 5. Finish with best coding practices, tips for working with a team and advice on landing a programming job. You can learn to program professionally. The path is there. Will you take it? From the author I spent one year writing The Self-Taught Programmer. It was an exciting and rewarding experience. I treated my book like a software project. After I finished writing it, I created a program to pick out all of the code examples from the book and execute them in Python to make sure all 300+ examples worked properly. Then I wrote software to add line numbers and color to every code example. Finally, I had a group of 200 new programmers 'beta read' the book to identify poorly explained concepts and look for any errors my program missed. I hope you learn as much reading my book as I did writing it. Best of luck with your programming!

Codeless Data Structures and Algorithms

Author : Armstrong Subero
Publisher : Apress
Release : 2020-02-13
Category : Computers
ISBN : 9781484257258
File Size : 19,9 Mb
Total Download : 744


Book Summary: In the era of self-taught developers and programmers, essential topics in the industry are frequently learned without a formal academic foundation. A solid grasp of data structures and algorithms (DSA) is imperative for anyone looking to do professional software development and engineering, but classes in the subject can be dry or spend too much time on theory and unnecessary readings. Regardless of your programming language background, Codeless Data Structures and Algorithms has you covered. In this book, author Armstrong Subero will help you learn DSAs without writing a single line of code. Straightforward explanations and diagrams give you a confident handle on the topic while ensuring you never have to open your code editor, use a compiler, or look at an integrated development environment. Subero introduces you to linear, tree, and hash data structures and gives you important insights behind the most common algorithms that you can directly apply to your own programs. Codeless Data Structures and Algorithms provides you with the knowledge about DSAs that you will need in the professional programming world, without using any complex mathematics or irrelevant information. Whether you are a new developer seeking a basic understanding of the subject or a decision-maker wanting a grasp of algorithms to apply to your projects, this book belongs on your shelf. Quite often, a new, refreshing, and unpretentious approach to a topic is all you need to get inspired. What You'll LearnUnderstand tree data structures without delving into unnecessary details or going into too much theoryGet started learning linear data structures with a basic discussion on computer memory Study an overview of arrays, linked lists, stacks and queues Who This Book Is ForThis book is for beginners, self-taught developers and programmers, and anyone who wants to understand data structures and algorithms but don’t want to wade through unnecessary details about quirks of a programming language or don’t have time to sit and read a massive book on the subject. This book is also useful for non-technical decision-makers who are curious about how algorithms work.