Copy edit after your structure is finalized

As a copy editor will be focusing on the individual sentences and paragraphs of your manuscript, you’ll first want to make sure you’re satisfied with your book’s structure. If there’s a chance you’ll cut out chapters, add new ones in, or tinker with certain passages — don’t get a copy editor yet! You’ll either have to get another copy edit later or pay a professional to edit something that won’t make it into the final book.

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Copy Editing vs Proofreading: What’s the Difference and Which Do You Need?

blog.reedsy.com

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Copy editing and proofreading are two distinctly different jobs with the same goal: making a piece of writing as readable and error-free as possible. The difference between the two jobs is pretty simple: a copy editor will improve and correct what the author writes, while the proofreader makes sure the copy editor didn’t miss anything. In other words, one always comes after the other. 

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What is proofreading?

In traditional publishing, the proofreading stage comes directly before the book goes to print. After the copy has been edited, a designer or typesetter will create a file to send to the printers. Before they commit to printing 20,000 hard copies, they will create what’s called a ‘galley proof’— a test version of the book. A final digital version will also be evaluated for ebooks about to be published .

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Professional proofreaders are there to catch the author and copy editor’s mistakes. Some copyeditors also offer proofreading services, but it’s often best to get a fresh pair of eyes for that task. If a copyeditor misses a mistake the first time around (no editor is 100% infallible), there’s every chance they’ll miss it during the proofread. If you can, hire a separate copy editor and proofreader.

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Copy editing ensures that a piece of writing is ‘correct.’ Most people will understand this to mean fixing spelling mistakes and correcting grammar issues, but this will usually go a lot further in professional publishing. 

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The proofreader will then meticulously comb through the proof to see if the copy editor has missed anything or if the designer has accidentally introduced a mistake into the final file. In addition to typos, these mistakes may include:

  • Incorrect numbering of pages;
  • Inaccurate index;
  • Misaligned text;
  • Additional (or missing) spaces between words;
  • Incorrect paragraphing.

A proofreader’s list of responsibilities is often broader than what we’ve laid out above. For example, with non-fiction or journalistic writing, they might also fact-check the manuscript.

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Introduction - What is Possible?
  1. Imagine one thing for a minute: a working week of only four hours. Don’t worry; the idea is that you’d still be making enough money. You’ll be working less, but you’ll be more productive.
  2. What would you do with the time you have left? Movies. A book. Maintaining friendships and family values. Every day would be like a mini vacation if you followed the 4-hour workweek.
  3. Timothy Ferriss, an American author and entrepreneur, says that is possible. His book, The 4-Hour Workweek: Escape 9-5, Live Anywhere, and Join the New Rich, changed many people’s lives.
  4. In its basis, The 4-Hour Workweek is a productivity concept. The author himself tested it. He went from making $40,000 per year on an 80-hour workweek to making $40,000 per month on a 4-hour workweek.
  5. When I read the book, I realized it was more realistic and actionable than I expected.

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2 LIKES

How I Implemented The 4-Hour Workweek Methodology And Doubled My Results

timedoctor.com

How to Write Copy that Generates Results

With content writing, you want to find creative ways to inform and entertain your audience. But you also want to ensure your post is SEO-friendly, that readers will engage with it and that your content drives conversions. Because the fact is: brands that develop well-planned and researched content generate real results.

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How to Write Copy that Generates Results [Semrush Research]

semrush.com

  • Python is a general-purpose, object-oriented programming language.
  • It emphasises code readability by using white space.
  • It is easy to learn.
  • It is a favourite of programmers and developers.
  • Python is very well suited for use in machine learning at a large scale.
  • Its suite of specialised deep learning and machine learning libraries includes tools like scikit-learn, Keras and TensorFlow. It enables data scientists to develop sophisticated data models that plug directly into a production system.

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Python vs. R: What’s the Difference?

ibm.com