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The Self-Taught Programmer: The Definitive Guide to Programming Professionally

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I am a self-taught programmer. After a year of self-study, I learned to program well enough to land a job as a software engineer II at eBay. Once I got there, I realized I was severely under-prepared. I was overwhelmed by the amount of things I needed to know but hadn't learned yet. My journey learning to program, and my experience at my first job as a software engineer 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, I 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. I divided the book into six sections:

1. Start 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, regular expressions and databases. Then use your new coding skills to build a web scraper.
4. Study Computer Science fundamentals including computer architecture, data structures, algorithms and network programming.
5. Learn to program for production: I cover the software development process, testing, and best coding practices.
6. Finish with tips for working with a team and landing a programming job.

You CAN learn to program professionally. The path is there. Will you take it?

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Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms
Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms

With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that’s paving the way for modern machine learning. In this practical book, author Nikhil Buduma provides examples and clear explanations to guide you through major concepts of this complicated field.

...
Practical Statistics for Data Scientists: 50 Essential Concepts
Practical Statistics for Data Scientists: 50 Essential Concepts

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their...

Practical Machine Learning
Practical Machine Learning

About This Book

  • Fully-coded working examples using a wide range of machine learning libraries and tools, including Python, R, Julia, and Spark
  • Comprehensive practical solutions taking you into the future of machine learning
  • Go a step further and integrate your machine learning projects with...

Advanced Microservices: A Hands-on Approach to Microservice Infrastructure and Tooling
Advanced Microservices: A Hands-on Approach to Microservice Infrastructure and Tooling

Use the many types of tools required to navigate and maintain a microservice ecosystem. This book examines what is normally a complex system of interconnected services and clarifies them one at a time, first examining theoretical requirements then looking at concrete tools, configuration, and workflows.

Building out these systems...

Daniel Arbuckle's Mastering Python
Daniel Arbuckle's Mastering Python

Key Features

  • Covers the latest and advanced concepts of Python such as parallel processing with Python 3.6
  • Explore the Python language from its basic installation and setup to concepts such as reactive programming and microservices
  • Get introduced to the mechanism for rewriting code in a...
Coding Projects in Python
Coding Projects in Python

Using fun graphics and easy-to-follow instructions, this straightforward, this visual guide shows young learners how to build their own computer projects using Python, an easy yet powerful free programming language available for download.

Perfect for kids ages 10 and over who are ready to take a second step after Scratch, Coding...

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