Learning Computer Programming

In Understanding Software, Max Kanat-Alexander, Technical Lead for Code Health at Google, shows you how to bring simplicity back to computer programming. Max explains to you why programmers suck, and how to suck less as a programmer. There's just too much complex stuff in the world. Complex stuff can't be used, and it breaks too easily. Complexity is stupid. Simplicity is smart.

Python is one of the easiest coding languages to master because it bases itself on the English language. Intuitive and simple, anyone can get started with programming in Python, almost overnight! It can even jumpstart your hobby or career in tech, taking you places you never thought you could go. And this is where this book comes into play… it’s your launchpad into the phenomenal world of Python programming.

Did you know that coding and programming jobs are one of the most secure and best-paid jobs around the world? According to BSL, the median annual wage for computer programmers was $84,280 in 2018. The field is growing strong and companies are headhunting coders. But even if you don't want to become a professional coder, programming skills increase your salary in other fields such as marketing, finance, and business analysis. Several studies have shown that programming skills added more than $20,000 to the annual salary.

Looking to learn Python? Python has gone to be one of the most popular programming languages in the world, and you will be one of the few people left out if you don’t add this knowledge to your arsenal. This audiobook makes learning Python simple, fast, and easy, taking away the confusion from learning a new language. It will teach you all the basics of Python, and even some of the more advanced Python concepts, taking you from beginner to intermediate Python programmer.

Would you like to learn how to use Python to generate machine learning models but you think it would be too difficult? Or perhaps you want to automate simple things with your computer but you don’t know how to do it? Here's the deal.... As a beginner you might think that programming is complex.... Learning artificial intelligence coding can take months, and the possibility to give up before mastering it could be high.

Becoming a solutions architect requires a hands-on approach, and this edition of the Solutions Architect's Handbook brings exactly that. This audiobook will teach you how to create robust, scalable, and fault-tolerant solutions and next-generation architecture designs in a cloud environment. It will also help you build effective product strategies for your business and implement them from start to finish.

It’s no secret that many jobs will be eliminated in the near future. While that reality may be difficult to digest, it’s also believed that the most responsible party - namely, automation - will lead the way in a golden age of opportunity. That’s because there will be a tremendous need for people who are capable of programming all those new systems. And, the language of choice for machine learning software is Python which, as it happens, is the perfect first language to learn.

If you want to learn how to program in Python, but don't know where to start read on. Knowing where to start when learning a new skill can be a challenge, especially when the topic seems so vast. There can be so much information available that you can't even decide where to start. Or worse, you start down the path of learning and quickly discover too many concepts, commands, and nuances that aren't explained.

This book, Computer Programming Python, Machine Learning, JavaScript Swift, Golang, is a wonderful assortment of the absolute best languages to know for the future. It is the most optimum choice of programming languages to choose for a single book. It includes the main essential languages, like Python and JavaScript, that every programmer should walk into an interview knowing.

If your are new to computer programming or want to brush up, then this ultimate bundle that combines aspects of machine learning and python programming for beginners and intermediates is for you.

Would you like to learn to use Python extracting meaningful insight from data to grow your business but you reckon it will be too complex? As a beginner, you will be probably afraid that programming is difficult. Learning data analysis and data mining can take months, and the possibility to give up before mastering them could be high. The best solution is a complete programming manual with hands-on projects and practical exercises. This guide is structured as a course with seven chapters for seven days and studied special exercises to apply what you learned step-by-step.

If you wish to learn python, Python Volume 1 will introduce you to the unlimited potential of python programming language in the world of big data, data science, deep learning, machine learning, artificial intelligence, and more.

How do some organizations maintain 24-7 internet-scale operations? How can organizations integrate security while deploying new features? How do organizations increase security within their DevOps processes? This practical guide helps you answer those questions. Steve Suehring provides unique content to help practitioners and leadership successfully implement DevOps and DevSecOps. Learning DevSecOps emphasizes prerequisites that lead to success through best practices and then takes you through some of the tools and software used by successful DevSecOps-enabled organizations.

To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer. Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting - and lucrative! - careers in some of today’s hottest programming fields about the technology.

Real-World Machine Learning will teach you the concepts and techniques you need to be a successful machine learning practitioner without overdosing you on abstract theory and complex mathematics. By working through immediately relevant examples in Python, you'll build skills in data acquisition and modeling, classification, and regression. You'll also explore the most important tasks like model validation, optimization, scalability, and real-time streaming. When you're done, you'll be ready to successfully build, deploy, and maintain your own powerful ML systems.

In Agile Leadership Toolkit, longtime agile leader Peter Koning provides a practical and invaluable steering wheel for agile leaders and their teams. Drawing on his extensive experience helping leaders drive more value from agile, Koning offers a comprehensive toolkit for continuously improving your environment.

This audiobook is the advanced edition that you have been building up to as you went through the exercises in the last two audiobooks. This third issue of the book is even more comprehensive than the previous editions but equally educative and illuminating.

If you need a go-to guide with numerous examples and coded programs, Python Machine Learning will be the answer. If you want to train your own models and enhance them to achieve your demand, Python Machine Learning is the exact tool. Do you want to train the machines and model to carry out complex jobs with accurate date and predictions in a more efficient way? Do you want to have a quick start in the right direction to enter into the Python world?

Do you need a hands-on crash course in Linux programming? Look no further! You have found your audiobook! Everything you need is within the covers of Linux for Beginners: The Ultimate Crash Course! Linux programming is an advanced skill, but building on your foundations, you will learn more from Linux for Beginners: The Ultimate Crash Course in one day than you can anywhere else. Whether you are a self-taught programmer or you are working your way through school for a degree in information technology, leaning Linux and learning it well is essential.

For years now, Powershell has been dominating the programming life because of its usefulness and wide application. It's a decent shell-scripting language that combines command-line speed, the flexibility of scripting, and the power of a GUI-based admin tool to perform different user's tasks. All the server products that Microsoft is producing now can be managed through PowerShell so it's a must-learn language for every programmer out there, but the question remains, how can you master such an important language?