Simple 4-Column Notebook PDF Download

Author: Martha Smith
Publisher:
ISBN: 9781697900316
Category :
Languages : en
Pages : 110

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Book Description
110 lined pages with Four Column Layout perfect binding lightweight 60# offset paper DIN A5 ( 5.8" x 8.3")

Author: awrir igrigna
Publisher:
ISBN:
Category :
Languages : en
Pages : 110

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Book Description
Smaller format lined four-column A5 journal with multiple uses - including language learning and business/home accounts.

Author: Almighty Jane
Publisher:
ISBN:
Category :
Languages : en
Pages : 200

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Book Description
This Four Column notebook is ideal for accounting, vocabulary lists, foreign language learning, planning, appointment, comparisons, name and number, temperature log book and much more!! Features: Durable hardcover - matte Portable size 7" x 10" (17.78 cm x 25.4 cm) High quality white paper 200 pages or 100 sheets Perfect binding Blank 4 column layout on medium (college) ruled paper with bold borders on top 32 rows on each page ★★ Perfect gift idea for friends, family, coworkers, students ★★

Author: Almighty Jane
Publisher:
ISBN:
Category :
Languages : en
Pages : 200

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Book Description
This Four Column Notebook is ideal for accounting, vocabulary lists, foreign language learning, planning, appointment, comparisons, name, number and much more!! Features: Durable hardcover - matte Portable size 7" x 10" (17.78 cm x 25.4 cm) High quality white paper 200 pages or 100 sheets Perfect binding Blank 4 column layout on medium (college) ruled paper with bold borders on top 32 rows on each page Perfect gift idea for friends, family, coworkers, students ✏️✏️

Author: Wiliam ART
Publisher:
ISBN:
Category :
Languages : en
Pages : 120

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Book Description
Simple 4-Column Notebook 120 PAGES 8,5*11 INCH

Author: Andrew S. Glassner
Publisher: Morgan Kaufmann
ISBN: 9781558605985
Category : Computers
Languages : en
Pages : 336

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Book Description
This is a collection of 18 columns written by Andrew Glassner for Computer Graphic and Applications magazine. As well as the published material, the book includes notes and corrections to the original articles, a chapter of introduction, and additional text and graphics not originally included. Topics range from computer graphics and art, to the ethics of computers in society.

Author: Yihui Xie
Publisher: CRC Press
ISBN: 0429782969
Category : Mathematics
Languages : en
Pages : 307

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Book Description
R Markdown: The Definitive Guide is the first official book authored by the core R Markdown developers that provides a comprehensive and accurate reference to the R Markdown ecosystem. With R Markdown, you can easily create reproducible data analysis reports, presentations, dashboards, interactive applications, books, dissertations, websites, and journal articles, while enjoying the simplicity of Markdown and the great power of R and other languages. In this book, you will learn Basics: Syntax of Markdown and R code chunks, how to generate figures and tables, and how to use other computing languages Built-in output formats of R Markdown: PDF/HTML/Word/RTF/Markdown documents and ioslides/Slidy/Beamer/PowerPoint presentations Extensions and applications: Dashboards, Tufte handouts, xaringan/reveal.js presentations, websites, books, journal articles, and interactive tutorials Advanced topics: Parameterized reports, HTML widgets, document templates, custom output formats, and Shiny documents. Yihui Xie is a software engineer at RStudio. He has authored and co-authored several R packages, including knitr, rmarkdown, bookdown, blogdown, shiny, xaringan, and animation. He has published three other books, Dynamic Documents with R and knitr, bookdown: Authoring Books and Technical Documents with R Markdown, and blogdown: Creating Websites with R Markdown. J.J. Allaire is the founder of RStudio and the creator of the RStudio IDE. He is an author of several packages in the R Markdown ecosystem including rmarkdown, flexdashboard, learnr, and radix. Garrett Grolemund is the co-author of R for Data Science and author of Hands-On Programming with R. He wrote the lubridate R package and works for RStudio as an advocate who trains engineers to do data science with R and the Tidyverse.

Author: Brookes Logsbook
Publisher: Independently Published
ISBN: 9781073629725
Category :
Languages : en
Pages : 104

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Book Description
Simple financial planning tool: quickly and easily Keeping track of your business and expenses 3 Columns, 40 lines in each of the 100 pages Perfect size: 8.5" x 11" Easy to carry. Great for home business, small business, homeowner, professionals, students or travelers.

Author: Jake Knapp
Publisher: Crown Currency
ISBN: 0525572430
Category : Business & Economics
Languages : en
Pages : 306

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Book Description
From the New York Times bestselling authors of Sprint comes “a unique and engaging read about a proven habit framework [that] readers can apply to each day” (Insider, Best Books to Form New Habits). “If you want to achieve more (without going nuts), read this book.”—Charles Duhigg, author of The Power of Habit Nobody ever looked at an empty calendar and said, "The best way to spend this time is by cramming it full of meetings!" or got to work in the morning and thought, Today I'll spend hours on Facebook! Yet that's exactly what we do. Why? In a world where information refreshes endlessly and the workday feels like a race to react to other people's priorities faster, frazzled and distracted has become our default position. But what if the exhaustion of constant busyness wasn't mandatory? What if you could step off the hamster wheel and start taking control of your time and attention? That's what this book is about. As creators of Google Ventures' renowned "design sprint," Jake and John have helped hundreds of teams solve important problems by changing how they work. Building on the success of these sprints and their experience designing ubiquitous tech products from Gmail to YouTube, they spent years experimenting with their own habits and routines, looking for ways to help people optimize their energy, focus, and time. Now they've packaged the most effective tactics into a four-step daily framework that anyone can use to systematically design their days. Make Time is not a one-size-fits-all formula. Instead, it offers a customizable menu of bite-size tips and strategies that can be tailored to individual habits and lifestyles. Make Time isn't about productivity, or checking off more to-dos. Nor does it propose unrealistic solutions like throwing out your smartphone or swearing off social media. Making time isn't about radically overhauling your lifestyle; it's about making small shifts in your environment to liberate yourself from constant busyness and distraction. A must-read for anyone who has ever thought, If only there were more hours in the day..., Make Time will help you stop passively reacting to the demands of the modern world and start intentionally making time for the things that matter.

Author: Jake VanderPlas
Publisher: "O'Reilly Media, Inc."
ISBN: 1491912138
Category : Computers
Languages : en
Pages : 743

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Book Description
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms