Writing Involves Reading

A lot of people think that ideas simply come into my head from nowhere and then I write them down. At some point, usually after three or four hours with several coffee breaks thrown in, I go fishing or do something else with my life. Somehow, the books just magically appear on sites such as Amazon and in the bookstores.

Unfortunately, writing isn’t quite that simple. During any given week I probably spend a minimum of 14 hours reading, often times more. I don’t just read computer science books either. In fact, many of my best ideas come from non-computer sources. It’s hard to say what will make a good source for ideas for my particular kind and style of writing. I’ve actually had poems influence me and more than a few fiction books. I once created a section of a chapter based on an idea I got from a Tom Clancy novel. The point is that writers are engaged in two-way communication. We get input from all sorts of sources, use that input to create new ideas and concepts, and then write those new bits of information down for others to read.

Reading differs from research. When an author researches something, the focus is direct and narrow. The goal is to obtain specific information. Reading is far more general. There really isn’t a focus, just communication. In reading a book or magazine, I might find a new technique for presenting information or a perspective I hadn’t considered before. The goal is to obtain experiences; to explore the world of print in an unfettered manner. The result is often enhanced creativity.

Of course, just as no one is able to get up in the morning and say, “Today I will be brilliant!” with any level of serious intent, reading may not produce any lasting effect at all. The communication may be an ephemeral experience of pleasure, joy, or some other emotion. Even in this case, letting the subconscious mind work while keeping the conscious mind entertained is a good idea. Sometimes a reading session, followed by a walk or some other activity, yields a solution to a writing problem that has nothing to do with the reading or the walking, but simply the allocation of time to the needs of the subconscious mind.

The bottom line is that if you want to become a writer, then you really must engage in writing activities because writing is as much about practice as it is talent. However, you must engage in other forms of communication as well or your skills will top out at some level and you’ll never fully realize your potential. Reading is truly a fundamental part of writing. Let me know your thoughts on reading as part of building skills in writing at [email protected].

 

Facing the Blank Page

Most writers face writer’s block at some point. You have a blank page that’s waiting for you to fill it and you have a vague notion of what you want to say, but the text simply doesn’t come out right. So, you write, and write some more, and write still more, and hours later you still have a blank page. Yes, you’ve written many words during that time—all of them good words—just not the right words.

Every piece of writing I do starts with an outline. Even my articles start with an outline. Creating outlines help you focus your thoughts. More importantly, they help you to see how your thoughts will flow from one idea to the next. Sometimes, if you’re honest with yourself, you’ll discover that you really don’t have anything more than a vague idea that will never become an article, white paper, book, or some other piece of writing. Of course, that’s really the reason for this exercise—to see if you have enough information to even begin writing. If you don’t have enough information, then you need to research your topic more. Research can take all sorts of forms that include everyone from reading other texts on the topic, to doing interviews, to playing. That’s right, even playing is an essential part of the writer’s toolbox, but this is a kind of practical play that has specific goals.

Once you do have an outline and you’re certain that the outline will work, you need to mark it up. My outlines often contain links to resources that I want to emphasize while I write (or at least use as sources of inspiration). A lot of writers take this approach because again, it helps focus your thoughts. However, an outline should also contain other kinds of information. For example, if a particular section is supposed to elicit a particular emotion, then make sure you document it. You should also include information from your proposal (book goals) and your reader profile (who will read a particular section) in the outline. Your marked up outline will help you understand just what it is that you really want to write. In reading your outline, you can start to see holes in the coverage, logic errors, and ideas that simply don’t fit.

Moving your outline entries to the blank page will help you start the writing process. Convert the entries to headings and subheadings. Ensure that the presentation of the headings and subheadings is consistent with the piece as a whole. Unfortunately, you can still end up with writer’s block. Yes, now you have some good words on the page, but no real content. An outline is simply a synopsis of your ideas in a formalized presentation after all.

Write the introduction and the summary to the piece next. The introduction is an advertisement designed to entice the reader into moving forward. However, it also acts as a starting point. The summary doesn’t just summarize the material in the piece—it provides the reader with direction on what to do next. People should view a good summary as a call to action. By creating the introduction and the summary, you create the starting and ending points for your piece—the content starts to become a matter of drawing a line between the two from a writing perspective.

At this point, you have enough material that you could possibly ask for help. Try reading your piece to someone else. Reading material aloud uses a different part of the brain than reading the same material silently. Discussing the material with someone else places a different emphasis on the material. The other party can sometimes provide good suggestions. You may not use the suggestions directly, but listening carefully can often present you with creative ideas that you wouldn’t have considered otherwise.

It’s important not to overwork the piece. Sometimes you need to do something else for a while. Yes, you always want to spend time in research and thinking your piece through, some writing is often done in the subconscious. Fill your head up with as many creative ideas, fascinating thoughts, and facts that you can, and then do something that actually will take your conscious mind off the topic. You might watch a television show or movie, go for a while. have coffee with a friend, take a nap, or do any of a number of other things. The important thing is to forget about the book for a while. Often, you’ll find that the now semi-blank page doesn’t present a problem when you return. Let me hear about your ideas for dealing with the blank page at [email protected].

 

Finding and Employing Data Science Tools

Python for Data Science for Dummies introduces you to a number of common libraries used for data science experimentation and discovery. Most of these libraries also figure prominently as part of a data scientist’s toolbox because they provide common functionality needed for every application. It is a great idea for those who are interested in expanding their knowledge in data science and how it can be applied to the field of Artificial Intelligence (AI). You can learn more about some of the basic principles such as applying, developing, leveraging and creating data science projects. However, these libraries are only the tip of the data science toolbox. Because data science is such a new technology, you can find all sorts of tools to perform a wide range of tasks, but there is little standardization and some of these tools are hard to categorize so that you know where they fit within your toolbox. That’s why I was excited to see, The data science ecosystem, the first of a three part series of articles that describe some of the tools available for use in data science projects. If you are interested in finding out more about data science, you might want to check out this data science bootcamp for more information. You can also find the other two parts of the article at:

The problem for people who want to explore data science and machine learning today might not be the lack of tools, but the lack of creativity in using them. In order to explore data science, it’s important to understand that the tools only work when your prepare the data properly, employ the correct algorithm, and define reasonable goals. So for those that are looking for suitable tools and aid when looking to start experimenting with data science or machine learning processes they might look to collaborate with other data scientists using this open-source dvc data science platform or one similar that can integrate many other data science tools. No matter how hard you try, data science and machine learning can’t provide you with the correct numeric sequences for the next five lottery wins. However, data science can help you locate potential sources of fraud in an organization. The article, Machine learning and the strategic snake oil reserve, sums up what may be the biggest problem with data science today-people expect miracles without putting in the required work. Fortunately, there are new tools on the horizon to make languages, such as Python, and products, such as Hadoop, easier for even the less creative mind to use (see Python and Hadoop project puts data scientists first).

Even with a great imagination, the tools available today may not do the job you want as well as they should because the underlying hardware isn’t capable of performing the required tasks. The process is further hampered by a misuse of the skills that data scientists provide (see You’re hiring the wrong data scientists for details). As a result, you need a large number of specialized tools in order to perform tasks that shouldn’t require them. However, that’s the reason why you need to know about the availability of these tools so that you can produce useful results on today’s hardware with a minimum of fuss. Asking the question, “How would Alan Turing fix A.I.?” helps you understand the complexities of the data science and machine learning environments.

Data science, machine learning, data scientists with even greater skills, and better hardware will keep the momentum going well into the future. As the Internet of Things (IoT) continues to move forward and the problem of what to do with all that data becomes even larger, data science will take on a larger role in everyone’s daily life. Count on reading more articles like, Google a step closer to developing machines with human-like intelligence, that describe the proliferation of new hardware and new tools to make the full potential of data science and machine learning a reality. In the meantime, getting the tools you need and exploring the ways in which you can creatively use data science to solve problems is the best way to go for now. Let me know your thoughts on the future of data science at [email protected].

Understanding the Effects of REM Sleep on Writing

A lot of people wonder how authors sometimes make the creative leaps they do in books. Of course, part of it is natural gift. Writing does involve some element of innate ability-a requirement that has been proven to my satisfaction more than a few times. Another part of the creative leap is mindset. When you spend a great deal of energy looking for something, you’re bound to eventually find it. We can target how our minds process information and therefore, control the resulting output to some degree. Hard work also comes into play-the best authors research their topic heavily (even in the fiction arena).

However, the obvious factors alone can’t account for the creative leap. Something more is at work than these elements. Over the years I’ve come to understand that part of what makes me a good author is my subconscious. An ability to take information stored during my waking hours and turn it into patterns as I sleep is part of the writing process for me and most likely many other authors as well (whether they realize it or not).

Sleep alone isn’t enough to generate the informational patterns, however. Over the years I’ve read articles such as REM Sleep Stimulates Creativity and Sleeping on it – how REM sleep boosts creative problem-solving. In fact, because the topic interests me so much, I’ve probably read a hundred or so such articles and a few books as well (such as, A Whack on the Side of the Head: How You Can Be More Creative). Getting sufficient Rapid Eye Movement (REM) sleep is an essential part of the creative process. In graphing my own productivity over the years, I’ve found a correlation between the quantity of REM sleep (and most especially, remembered dreams) and the quality of my output. Sometimes quantity is also affected by REM sleep, but the best writing I’ve done is when I’ve had enough REM sleep.

The onset of REM sleep usually occurs about 90 minutes after falling asleep. The sleep cycle varies between light and REM sleep depending on the person. A number of other factors also seem to play a role in my own personal sleep cycle. For example, I tend to get more REM sleep after a day of moderate physical exertion, mixed with plenty of research time (non-writing time). Marijuana is also known for its ability to help users get some sleep. Keep in mind that the amount needed for successful onset of REM sleep will differ from one person to the other. That being the case, if you are searching for answers to how much is a nickel of weed or similar questions related to marijuana units then explanations provided in BuyMyWeedOnline might help with your understanding.

Eating no more than two hours before I go to bed is also a factor and I also try to create a restful environment conducive to sleep. In fact, more than once I’ve taken a two hour nap after performing research to overcome writer’s block. The technique works quite often. (Shorter nap times don’t appear to provide any advantage because the REM sleep cycle may not even occur or is of insufficient length to derive a solution to the problem at hand.)

As part of the dreaming cycle, I’m often able to employ lucid dreaming techniques (or what is commonly called directed dreaming). However, more often than not I simply wake with the answers to the questions I had when I went to sleep and quickly write them down. It’s a technique authors have used successfully over the centuries to great effect.

The point is that REM sleep is a required component for many creative endeavors. It’s not just authors who require REM sleep, but anyone who is involved in any sort of creative effort. A lack of REM sleep may be why engineers on a team are unable to create a useful solution to problems or why developers write buggy code. There is certainly nothing mysterious about the process, except why more people don’t employ it. I’ll admit, I sometimes struggle with my REM cycles which actually made me look into pages such as this overviewing how to get your Arkansas marijuana card, recently I’ve become interested to see how medical marijuana could impact my REM sleep and therefore lead me to a more energized healthy life too.

For some people, sleep as a whole, let alone REM sleep, can be difficult to achieve. Things like insomnia can mean that sleep is a real challenge, and therefore REM sleep is unachievable. Things like turning off electronics before bed or looking into new mattresses like the Best Latex Mattress Australia based can help. Hopefully, with these small lifestyle changes, you too can achieve REM sleep and increase your problem-solving skills.

What is your take on REM sleep? Do you ever stuff your head full of information and then go take a nap to solve problems? If not, would you be willing to give the technique a try after reading this article? Let me know your thoughts (and the results of any experiments) at [email protected].