Paul Barry just found, to his amazement, that he had been programming for nearly a quarter-century. Paul has written or co-authored three more books, lived and worked in two countries on two continents, married, and had three children (really, his wife Deirdre did, but Paul was present), received a B.Sc. and M.Sc. in Computing, and wrote to Linux Journal (where he is a Contributing Editor).
Paul was so captivated with Head First HTML with CSS & XHTML the first time he saw it that he knew it would be a terrific approach to teach programming. He was ecstatic to co-found Head First Programming with David Griffiths in the hopes of proving his intuition correct. His whole expertise is contained in his book, ” Head First Python.” This book’s pdf edition is available for free so download it from our website.
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Head First Python Free PDF Download Latest Version
First and foremost, “Head First Python” is Python is a complete Python learning experience that walks you through the language using a unique approach that goes beyond syntax and how-to books to teach you how to program in Python. After learning the foundations of the language, you’ll go on to persistence, exception handling, web programming, SQLite, data wrangling, and Google App Engine. Thanks to Python’s strength, you’ll also learn how to create Android mobile apps.
We believe your time is too important to be squandered on learning new topics. Head First Python employs a visually rich structure tailored for the way your brain works, not a text-heavy method that puts you to sleep, based on the latest research in cognitive science and learning theory to produce a multi-sensory learning experience.
“Meet Python: Everyone Loves Lists” is the first chapter in this book. Python has statements, modules, operators, functions, expressions, methods, and classes, much like every other general-purpose programming language. Basically, it’s all the typical things. Then there are the rest of Python’s features, which make programming—and your life—a little bit simpler. You’ll begin your Python journey by learning about lists. The next chapter of this book is “Sharing Your Code: Modules of Functions”. It’s fantastic to have reusable code, but it’s much better to have a shared module. You’ll learn how to design, install, and distribute your own shared modules in this chapter. After that, you’ll upload your module to Python’s online software sharing site so that everyone may profit from it. You’ll also learn a few new techniques about Python’s functions along the way.
The third chapter is “Files and Exceptions: Dealing with Errors”.Simply processing your list data in your code isn’t enough. You must also be able to easily enter data into your applications. As a result, it’s no surprise that Python makes reading data from files simple. That’s terrific until you realize what you’ve done. There are plenty of things that will try to trip you up! When horrible things happen, you need a plan. Dealing with every extraordinary situation is one approach for getting out of problems. In this chapter, we’ll teach you how to use Python’s exception handling system in a variety of circumstances.
the fourth chapter is “Persistence: Saving Data to Files”. It’s fantastic to be able to process info from files. But, when you’re done, what happens to your data? Of course, you should save your data to a disc file so that you may access it at a later date and time. What persistence is all about is taking your memory-based data and saving it on disc. Python has all of the standard tools for writing to files, as well as several unique features for effectively storing Python data.
“Comprehending Data: Work That Data!” will be 5th chapter of this book. Data is available in a variety of sizes, formats, and encodings. You may need to alter and transform your data into a standard format to enable fast processing, sorting, and storage in order to work successfully with it. In this chapter, you’ll learn about Python features that will let you work up a sweat with your data and attain data-munging glory. It’s critical that your data structure match your data. And that decision can have a significant impact on the complexity of your code. Lists and sets aren’t the only game in town in Python, despite their importance. By linking your data with names rather than numbers, the Python dictionary allows you to arrange your data for quick access. When Python’s built-in data structures aren’t enough, the Python class statement allows you to create your own. This chapter “Custom Data Objects: Bundling Code with Data” demonstrates how to.
so far you have completed 213 pages of this book, and you will be introduced to the 7th chapter- “Web Development: Putting It All Together”.You’ll want to share your app with a large number of users at some point. This is something you can accomplish in a variety of ways. Put your code to PyPI, send out a lot of emails, burn a CD or USB, or just personally install your software on the machines of individuals that need it. What happens if you write the best version of your code yet? So, what happens next? How are you going to handle the update? Let’s face it: it’s such a hassle that you’ll come up with ridiculous reasons not to do it. Fortunately, none of this is necessary: simply build a web app. And, as this chapter shows, Python is a breeze to use for web development.
The title of the 8th chapter is “Mobile App Development: Small Devices”. Putting your information on the internet brings you a world of possibilities. Not only can anybody connect with your web app from anywhere, but they are increasingly doing so from a variety of computing devices, including PCs, laptops, tablets, palmtops, and even mobile phones. Not only do you have to support and care about humans interacting with your web app: bots are little programs that can automate web interactions and often desire your data rather than your human-friendly HTML. In this chapter, you use Python on Coach Kelly’s phone to create an app that interacts with the data from your web app.
The 9th chapter of this book is named “Manage Your Data: Handling Input”. The Internet and your phone aren’t simply useful for displaying info. They’re also helpful for gathering feedback from your users. Naturally, if your web app receives data, it must store it someplace, and the decisions you make about what and where this “somewhere” is may make the difference between a web app that is easy to build and extend and one that isn’t. In this chapter, you’ll look at and improve your back-end data-management services, as well as expand your web app to receive data from the Web (through a browser or an Android phone).
The 10th chapter is all about scaling your web app and it is named “Scaling Your Webapp: Getting Real”. The Internet is an excellent location to host your app until things become serious. You’ll win the jackpot sooner or later, and your web app will be a huge success. When this happens, your web app’s daily traffic skyrockets from a few hundred to hundreds, tens of thousands, or even millions. Are you prepared? Will your web server be able to manage the traffic? How will you be able to tell? How much will it cost? Who will foot the bill? Is it possible for your data model to scale to millions of data elements without slowing down? Python makes it simple to get a web app up and running, and now, due to Google App Engine, growing a Python web app is also possible.
Chapter 11 is the final chapter of this book and it is named “ Dealing with Complexity: Data Wrangling”. When you can apply Python to a certain domain area, it’s fantastic. Python helps you get the job done by not getting in the way of you developing your solution, whether it’s web development, database administration, or mobile apps. Then there are the challenges that are impossible to identify or assign to a domain. Problems that are so unique in themselves that they require a separate, highly particular approach. Python excels at developing custom software solutions to these types of situations. In this, your final chapter, you’ll push your Python abilities to their limits while also solving issues.
