Tag: IDE

IDE Screenshot Usage in Books

There are cases where it’s very tough to figure out the correct presentation of material in a book, which is made more difficult by some readers preferring one presentation and other readers another. It comes down to how people learn in many cases. Visual learners prefer screenshots, abstract learners prefer text. Of course, there are all sorts of learners between these two extremes. So, what seems like a simple question can become quite complex.

The question at hand is whether to present screenshots of an IDE in a book with the associated example code and its output. The problem is that vendors now assume that developers have very large displays and so have made use of all of that extra screen real estate. In addition, book publishers don’t want books where a single image consumes an entire page. The result is that it’s very hard to get a screenshot where the text is completely readable. It can be done, but the text will generally still be smaller than the print in the book. Older readers complain that they need a magnifying glass to see the text at all.

However, there are benefits to using screenshots. The most important benefit is that, even if the text isn’t completely readable, visual learners can see what their IDE should look like as they follow the progress of procedures in the book. This feedback lets the visual learner know that they are doing things correctly and are getting the correct result. Another benefit is that an example tends to stay in one piece. The graphical output of an example doesn’t end up several pages away from the source code that produces it. Sometimes, textual output is wider than the page will allow using the normal font size. So, the options are to print the output in the book at the normal font size, but in a truncated form, which means that it’s no longer complete. A screenshot can show the complete textual output, but at a smaller font. For beginner readers, the second form, while not optimal, is preferred because truncating the output produces questions in the reader’s mind.

So, how do you feel about IDE screenshots in books? Are they more helpful or more confusing? Part of the reason for posts like this is to get your opinion and discover more about you as a reader. Obviously, a book author wants to use the communication techniques that work best overall for everyone, book space often not allowing for the investigation of every presentation alternative. Let me know your thoughts at [email protected].

Jupyter Notebook vs JupyterLite

There seems to be some confusion for readers of   Algorithms for Dummies, 2nd Edition, Beginning Programming with Python For Dummies, 3rd Edition, Machine Learning for Dummies, 2nd Edition, Python for Data Science for Dummies, and Machine Learning Security Principles lately due to the similarity of names of two Integrated Development Environments (IDEs) available now. Even though I’m sure that JupyterLite is a very good product, even the website states, “Not all the usual features available in JupyterLab and the Classic Notebook will work with JupyterLite, but many already do!” This lack of support becomes a problem when you try to run the downloadable source using JupyterLite. In addition, Luca and I haven’t tested the downloadable source with this product, so we can’t even tell you what will and won’t work.

The two supported IDEs for our books are Google Colab (recommended for those of you who want to use a mobile device) and Jupyter Notebook (recommended for those of you who have a desktop system). It’s actually preferred that you get Jupyter Notebook as part of the Anaconda toolset because Anaconda makes it very easy for you to perform some advanced setup tasks found in some of our books. For example, you gain access to the Anaconda prompt and the associated Conda utility that definitely makes it easier for you to manage some of the machine learning packages found in our books. Using either Google Colab or Jupyter Notebook makes it very much easier for Luca and I to help you with your book-specific questions.

Please let me know if you have any questions or concerns about how to setup your programming environment for our books at [email protected]. Remember to use the version of the products listed in the book for optimal results in working with the downloadable source. In addition, always remember to use the downloadable source to enhance your learning experience.

Choosing a C++ Editor

This is an update of a post that originally appeared on August 25, 2014.

A lot of people have asked why I chose Code::Blocks as the editor for C++ All-In-One for Dummies, 4th Edition. There are a number of reason that I chose this particular editor including:

  • Ease of use
  • Free download
  • Runs on a large number of platform types
  • Provides internationalization support

However, the fact that Code::Blocks works well for the book and for most beginning projects doesn’t mean it’s the best solution for your particular needs. There are many different C++ Integrated Development Environments (IDEs) out there and I’m constantly trying new products. When the new version of Visual Studio comes out, you can be sure I’ll obtain a copy and check it out because some of my readers use Visual Studio. The problem with Visual Studio is that it tends to use Microsoft additions to the C++ language and it also doesn’t run on all the platforms that the book must support. However, if you’re working with Microsoft systems and need to create a relatively large project, Visual Studio might be a good choice for you—only you can make that determination.

The Eclipse IDE is another good selection. I had thought about using Eclipse for C++ All-in-One for Dummies, 4th Edition, but after reviewing the IDE and comparing it to Code::Blocks, I felt Code::Blocks was a lot simpler. Even so, if you need great multiplatform support for your C++ projects, Eclipse is a great choice.

I recently looked at another IDE, Intel® oneAPI Base Toolkit. This is most definitely not a IDE for the faint of heart or the light of pocketbook (the asking price for the cheap version is $1,499.00). The main reason to obtain a product like this one is that it provides phenomenal parallelism support for multiprocessor applications. In other words, you use this sort of IDE for high end projects. You can read all the other features this product offers on the vendor site. One of the other items that grabbed my attention is that it provides both multiplatform (Windows, Mac, Linux, and Android) and multiformat (Phone, Tablet, PC, Ultrabook, and Server) support. Whether this particular IDE makes sense for your needs depends on the kind of applications you create.

Although the information in Wikipedia is often suspect, you can find a comparison of various IDEs at http://en.wikipedia.org/wiki/Comparison_of_integrated_development_environments. The best way to choose a C++ IDE is to look for a product that meets your needs and then try it out on a subset of the problem you’re trying to solve. Researching the IDE you use is essential because a mistake can cost you a lot of time later. Not every IDE support every C++ feature, every platform, or every team need. Tell me why you think I should move to something other than Code::Blocks for the next edition of the book at [email protected].

Python Community Support

This is an update of a post that originally appeared on October 13, 2014.

There are many issues to consider when choosing a programming language. Python is no exception. Just because I feel it’s the right tool to meet some of my needs doesn’t mean it will work well for you. That’s why the Understanding Why Python is So Cool section of Chapter 1 in Beginning Programming with Python For Dummies, 3rd Edition is so important. This section tells you why I see Python as an important programming language and why you might want to use it too. I break the problem into three parts: what Python can do for your application needs, how Python can benefit you personally, and which organizations are using Python for specific tasks. Between the three sections, you can make an intelligent decision as to whether Python will actually serve your particular needs. I really don’t want you to take my word for it—I would rather know that you selected Python based on your own research.

No matter how interesting a language is, no matter how many features it provides, and no matter how much you personally like it—you can’t typically learn a language that lacks broad community support with any ease. If no one else is using the language and contributing to it in some major way, the language will eventually die. Fortunately, Python doesn’t have this problem. Chapter 21 of my book discusses ten essential libraries for Python, none of which come with the language when you download it. In fact, the introduction to this chapter lists a number of places where you can find even more libraries to use.

The thing is that Python keeps attracting ever more attention. A recent Dev article, 10 Best Tools Python Programmers Can Learn in 2023, provides you with access to tools you really need to know about. The point about tools is that they represent an essential form of community support. As people use a language, they start to build places where others can discuss it with them. However, that’s only one form of community support. Tools represent a significant increase in support because creating, debugging, and supporting a tool requires time and effort that most developers don’t have in abundance. Someone really has to believe in a language to provide this sort of language support.

The fact is that Python has become a “must learn” language. It has great community support, provides a broad range of functionality through libraries and tools, and is fully supported by the academic community. Even though other languages have had these advantages and eventually failed, the chances are far less likely that Python will experience problems. In fact, many rankings sites show Python as being the most popular language out there right now.

Community support is an essential determinant of programming language popularity. How do you rank Python in your toolbox and why? Let me know at [email protected]. Tell me about your favorite Python library or tool and how you use it as well. (No vendor emails please, I want to hear from developers who are actually using products.) I’m interested in discovering just what makes some languages so incredibly popular (Python being one of the most popular).

Antiquated Technology Making Developers Faster

This is an update of a post that originally appeared on November 7, 2014.

I often wonder when I create a blog post whether the technology I’m describing will stand the test of time. In this case, I asked whether the reader would like to be able to type application code faster and with fewer keystrokes. The article, The 100 Year Old Trick to Writing at 240 Words Per Minute, probably has some good advice for you—at least, if you’re willing to learn the technique. It turns out that stenography isn’t only useful for court typists and people who print out the text for the hearing impaired on television, it’s also quite useful for developer. Yes, your IDE probably has more than a few tricks available for speeding up your typing, but I guarantee that these tricks only go so far. My personal best typing speed is 110 wpm and that’s flat out typing as fast as my fingers will go.

Since that original post, someone has come out with a book called Learn Plover! that describes how to use this stenographic technique in more detail. There is also a site devoted to Plover now.

Naturally, I haven’t ever used one of the devices mentioned in the article. However, a stenographer named Mirabai Knight has tried one of the devices and reproduced a 140 keystroke Python application using only 50 keystrokes. By the way, she has produced a series of interesting videos that you may want to review if you really think that Plover is for you. I don’t know of any IDE that can provide that sort of efficiency. Of course, it’s one thing for a trained stenographer to produce these sorts of results, but I’d like to hear from any developer who has used the technique to hear about how well it worked for them. Please contact me about your experiences at [email protected]. (Oddly enough, I did hear from at least one developer who uses it successfully.)

The part that interested me most though is that the system, called Plover, is written in Python. (If you want to see Plover in action, check out the video at http://plover.stenoknight.com/2014/10/longer-plover-coding-snippet-in-python.html. A number of Beginning Programming with Python For Dummies, 3rd Edition readers have written to ask me how they can use their new found programming skills. The book contains sections that tell you about all sorts of ways in which Python is being used, but many of these uses are in large corporations. This particular use is by a small developer—someone just like you. Yet, it has a big potential for impacting how developers work. Just imagine the look on the boss’ face when you turn in your application in half the time because you can type it in so much faster? So, Python isn’t just for really large companies or for scientists—it’s for everyone who needs a language that can help them create useful applications of the sort that Python is best suited to target (and I describe all of these uses in my book).

IPython Magic Functions

This is an update of a post that originally appeared on April 25, 2016.

All of my current Python language books (and those I collaborated on with Luca Massaron): Machine Learning Security Principles, Algorithms for Dummies, 2nd Edition, Beginning Programming with Python For Dummies, 3rd Edition, Python for Data Science for Dummies, and Machine Learning for Dummies, 2nd Edition allow use of Jupyter Notebook (through Anaconda) or Google Colab to interact with the example code. Both of these IDEs extend the development environment in a number of ways, one of which is the use of magic functions. You see the magic functions in the code of these books as calls that begin with either one or two percent signs (% or %%). The most common of these magic functions is %matplotlib, which controls how IPython Notebook or Jupyter Notebook display plot output from the code.

You can find a listing of the most common magic functions in the Python for Data Science for Dummies Cheat Sheet. None of my books use any other magic functions, so this is also a complete list of magic functions that you can expect to find in our books. However, you might want to know more. Fortunately, the site at https://damontallen.github.io/IPython-quick-ref-sheets/ provides you with a complete listing of the magic commands (and a wealth of other information about Jupyter Notebook).

There are differences in magic function support between Jupyter Notebook and Google Colab, some of which are outlined in our books as needed. None of these differences will significantly affect your learning experience. However, it pays to know that Jupyter Notebook and Google Colab are only mostly the same, not precisely the same, and you’ll encounter differences. The screenshots in my books reflect the Jupyter Notebook version supported by that book, so what you might see on your screen when using magic functions in Google Colab may differ from the book.

Of course, you might choose to use another IDE—one that isn’t quite so magical as Jupyter Notebook or Google Colab. In this case, you need to remove those magic commands. Removing the commands generally won’t affect functionality of the code. The example will still work as explained in the book. However, the way that the IDE presents output could change. For example, instead of being inline, plots could appear in a separate window. Even though using a separate window is less convenient, either method works just fine. If you ever do encounter a magic function-related problem, please be sure to let me know at [email protected].

Using Online IDEs

Many readers today want to code anywhere, using any device, and at any time. Obviously, hauling around a desktop system or even a high end laptop is not on the list of things they want to do. I thought it unique when a reader wrote me to say that coding on a smartphone should be included in my books. I have since had several more readers make the same request. So, I’m no longer surprised to hear about the various methods used to produce source code.

Personally, I think squinting while I code would be uncomfortable, but I definitely don’t want to hinder anyone’s learning process, so many (not all) of my introductory books now include a chapter on coding with mobile or online IDEs. For C++ All-In-One for Dummies, 4th Edition the mobile device tool of choice is CppDroid (a mobile IDE for C++). Python books, such as Beginning Programming with Python For Dummies, 3rd Edition, Python for Data Science for Dummies, and Machine Learning for Dummies, 2nd Edition, rely on Google Colab (an online IDE). Just out of curiosity, I tried Google Colab using my smart TV and it did work—not that I plan to code using my TV anytime soon. Even though my latest book, Machine Learning Security Principles, doesn’t include any sort of IDE setup chapter, I did test the source code using Google Colab for that book as well.

Any time you change IDEs, you need to test your code to actually ensure that it will work with that IDE. Consequently, during the writing process I carefully tested every example on both my desktop system and the alternative IDE that the book supports. This dual testing process helps ensure you have a great learning experience. Unfortunately, I don’t have the time or resources to test every possible IDE out there. To obtain a good learning experience from my books, you need to choose one of the IDEs that I mention. In addition, it’s essential that you choose the correct version of the IDE, the one that matches the book, because vendors tend to introduce breaking changes into IDEs and compilers during the upgrade process.

When you contact me about an IDE issue, the first thing I need to know is which book (and edition of that book) you have, followed by the operating system and IDE version you’re using. Otherwise, it’s very tough for me to try to help you and I do want to help you within reason. No, I’m not going to try to support the alternative IDE that you like that was created for you by your long lost relative. I’ll only support the IDEs specifically mentioned in the book. That said, I do want to hear your input about IDEs at [email protected]. If you’re encountering a problem with the IDE that’s used in the book, I definitely need to know about it and I’ll post some helpful information about it on this blog.

Source Code Placement

This is an update of a post that originally appeared on October 12, 2015.

I always recommend that you download the source code for my books. The Verifying Your Hand Typed Code post discusses some of the issues that readers encounter when typing code by hand. However, I also understand that many people learn best when they type the code by hand and that’s the point of getting my books—to learn something really interesting (see my principles for creating book source code in the Handling Source Code in Books post). Even if you do need to type the source code in order to learn, having the downloadable source code handy will help you locate errors in your code with greater ease. I won’t usually have time to debug your hand typed code for you.

Depending on your platform, you might encounter a situation the IDE chooses an unfortunate place to put the source code you want to save. For example, a Windows System might choose the Program Files folder, which contains a space and doesn’t allow saving of files unless you specifically override the default rights. Fortunately, modern IDEs do manage to avoid many of these problems, but you still need to be aware that they could exist, especially when using an older IDE.

My recommendation for fixing these, and other source code placement problems, is to create a folder that you can access and have full rights to work with to store your source code. My books usually make a recommendation for the source code file path, but you can use any path you want. The point is to create a path that’s:

  • Easy to access
  • Allows full rights
  • Lacks spaces in any of the pathname elements
  • On a local drive, rather than a cloud drive in many cases

As long as you follow these rules, you likely won’t experience problems with your choice of source code location. If you do experience source code placement problems when working with my books, please be sure to let me know at [email protected].

Spaces in Paths

This is an update of the previous post originally created on April 20, 2016.

A number of readers have recently written me about an error they see when attempting to compile or execute an application or script in books such as, C++ All-In-One for Dummies, 4th Edition, Beginning Programming with Python For Dummies, 2nd Edition, Python for Data Science for Dummies, and Machine Learning for Dummies, 2nd Edition. Development environments often handle spaces differently because they’re designed to perform tasks such as compiling applications and running scripts. When you see an error message that tells you that a file or path isn’t found, you need to start looking at the path and determine whether it contains any spaces. The best option is to create a directory to hold your source code and to place that directory off the root directory of your drive if at all possible. Keeping the path small and simple is your best way to avoid potential problems compiling code or running scripts.

The problem for many readers is that the error message is buried inside a whole bunch of nonsensical looking text. The output from your compiler or interpreter can contain all sorts of useful debugging information, such as a complete listing of calls that the compiler, interpreter, or application made. However, unless you know how to read this information, which is often arcane at best, it looks like gobbledygook. Simply keep scanning through the output until you see something that humans can read and understand. More often than not, you see an error message that helps you understand what went wrong, such as not being able to find a file or path. Please let me know if you ever have problems making the code examples in my books work, but also be sure to save yourself some time and effort by reading those error messages. Let me know if you have any thoughts or concerns about spaces in directory paths at [email protected].