Python is a great language for beginning programmers. It is easy to write the first programs, because the conceptual overhead is small. That is, there’s no need to understand what “void” or “public” means at the outset. Python does many things for a programmer. Do you want something sorted? It’s a part of the language. Lists and hash tables (dictionaries) are a part of the language. You can write classes, but do not have to, so it can be taught objects first or not. The required indentation means that it is much harder to place code incorrectly in loops or if statements. There are hundreds of reasons why Python is a great idea.
Every year I consider whether to continue using Python or whether to move on to a different language—perhaps one that’s newer to the programming world. But I continue to focus on Python for many reasons. Python is an incredibly efficient language: your programs will do more in fewer lines of code than many other languages would require. Python’s syntax will also help you write “clean” code. Your code will be easy to read, easy to debug, and easy to extend and build upon compared to other languages.
People use Python for many purposes: to make games, build web applications, solve business problems, and develop internal tools at all kinds of interesting companies. Python is also used heavily in scientific fields for academic research and applied work.
One of the most important reasons I continue to use Python is because of the Python community, which includes an incredibly diverse and welcoming group of people. Community is essential to programmers because programming isn’t a solitary pursuit. Most of us, even the most experienced programmers, need to ask advice from others who have already solved similar problems. Having a well-connected and supportive community is critical in helping you solve problems, and the Python community is fully supportive of people like you who are learning Python as your first programming language.
If You Like Learning This Programming Language Here is Some Python Book You Need to Read:
This book is intended to teach introductory programming. Material is included for the introductory computer science course, but also for students and readers in science and other disciplines. I firmly believe that programming is an essential skill for all professionals and especially academics in the 21st century and have emphasized that in the content discussed in the book.
If you’ve picked up this book, you’re probably aware of the extraordinary progress that deep learning has represented for the field of artificial intelligence in the recent past. In a mere five years, we’ve gone from near-unusable image recognition and speech transcription, to superhuman performance on these tasks.
The goal of this book is to bring you up to speed with Python as quickly as possible so you can build programs that work—games, data visualizations, and web applications—while developing a foundation in programming that will serve you well for the rest of your life. Python Crash Course is written for people of any age who have never programmed in Python before or have never programmed at all. If you want to learn the basics of programming quickly so you can focus on interesting projects, and you like to test your understanding of new concepts by solving meaningful problems, this book is for you. Python Crash Course is also perfect for middle school and high school teachers who want to offer their students a project-based introduction to programming.
This new book expands and improves on that series by providing the basics of Python programming, but also walks through programming a real-world scenario: a fuel storage and transfer simulation. In addition, we will also look at how to add a graphical interface to the original, text-based program.
This book introduces the terminology of the object-oriented paradigm. It focuses on object-oriented design with step-by-step examples. It guides us from simple inheritance, one of the most useful tools in the object-oriented programmer’s toolbox, through exception handling to design patterns, an object-oriented way of looking at object-oriented concepts.
This book will start by walking you through the scripts and libraries of Python that are related to networking and security. You will then dive deep into core networking tasks and learn how to take care of networking challenges. Later, this book will teach you how to write security scripts to detect vulnerabilities in your network or website. By the end of this book, you will have learned how to achieve endpoint protection by leveraging Python packages, along with how to write forensics and cryptography scripts.
Python Network Programming reviews the core elements of Python and the TCP/IP protocol suite. It highlights major aspects of Python network programming such as writing simple networking clients, creating and deploying SDN and NFV systems, and extending your network with Mininet. You’ll also learn how to automate legacy and the latest network devices. As you progress through the chapters, you’ll use Python for DevOps and open source tools to test, secure, and analyze your network. This Learning Path will guide you in configuring the Linux Foundation networking ecosystem and deploying automated networks in the cloud. You will gain experience in retrieving network information with flow-based monitoring, a polling mechanism, and data visualization. Toward the end, you’ll develop client-side applications, such as web API clients, email clients, SSH, and FTP, using socket programming and multithreaded or event-driven architectures.
Learn Robotics is about building and programming a robot with smart behaviors. It covers the skills required to makes, and build, a gadget from parts, including how to choose them. This book follows with how to make the code to make those parts do something interesting. The book uses Python, together with a little bit of HTML/CSS and JS.
Software is at the core of so many of the tools we use today: Nearly everyone uses social networks to communicate, many people have Internet-connected computers in their phones, and most office jobs involve interacting with a computer to get work done. As a result, the demand for people who can code has skyrocketed. Countless books, interactive web tutorials, and developer boot camps promise to turn ambitious beginners into software engineers with six-figure salaries.
Many years ago we started programming in Python because we were working on a large computational biology project. In those days choosing Python was not nearly as common as it is today. Nonetheless things worked out well, and as our expertise grew it seemed only natural that we should run some elementary Python courses for the School of Biology at the University of Cambridge, where we were employed. The basis for those courses is what turned into the initial idea for this book.
This book will show you how to use Python, create your own hacking tools, and make the most out of available resources that are made using this programming language.
If you do not have experience in programming, don’t worry – this book will show guide you through understanding the basic concepts of programming and navigating Python codes.