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Text Content

|New Reviews| |Software Methodologies| |Popular Science| |AI/Machine Learning|
|Programming| |Java| |Linux/Open Source| |XML| |Software Tools| |Web| |Other|
|Tutorials| |All By Date| |All By Title| |Resources|


INDEPENDENT DEVELOPER BOOK REVIEWS BY AND FOR PRACTITIONERS

Tutorials
Introduction to SQL
Excel VBA
File System Object
Agile In 30 Seconds
Apache Derby/Java DB
Standard Deviation In 30 Seconds
JDBC-ODBC - Quick Introduction
Groovy and XML


 
The Man From The Future

John von Neumann was one of the intellectual giants of the 20th century — a
giant among giants, but yet he remains little known to the general public.
Compare and contrast to Alan Turing for example, who has carved out a place in
popular culture. Even John Nash had a Hollywood biopic. Yet von Neumann was a
key figure in maths, physics, economics and computer science. The machine you're
reading this on has a von Neumann architecture, and is a descendant of the first
programmable computers that he helped develop. So it's more than welcome that
there's finally a pop science biography of this instrumental figure.

Ananyo Bhattacharya's The Man From The Future is definitely in the pop science
mould rather than a more detailed and scholarly work. It's an easy read for the
general reader, charting von Neumann's short life (he died at 53, still in his
prime) and work, from birth in Budapest in 1903 to early death in Washington DC
in 1957. Born into an upper middle—class secular Jewish Hungarian family, he was
an archetypal child prodigy, mastering Ancient Greek and Latin, able to
accomplish feats of mental arithmetic that astounded adults and devouring
volumes of history. He was one of a generation of Hungarian scientists who went
on to make major contributions to science and mathematics: Michael Polanyi, Leo
Szilard, Eugene Winger, Edward Teller and others.

The book describes von Neumann's numerous contributions to mathematics and
science starting with his work, while still a teenager, on set theory and the
fundamentals of mathematics. The author always make sure to contextualise von
Neumann's work, placing it in the bigger picture to make plain just how central
and important much of von Neumann's work was. Along the way one is reminded of
the intellectual ferment that marked the first decades of the 20th century.
[Continued]
Racket Programming the Fun Way

I have to admit that I've never really taken a shine to programming languages
along the Lisp line of descent. There's a long and distinguished history of
course, and numerous variants such as Scheme, Clojure, Hy and more. It's not
that I'm only comfortable using one programming paradigm — in my time I've
professionally used assembler, C, APL, Visual Basic, Java, Powershell and half a
dozen others. But for one reason or another nothing Lisp-like has ever appealed.
Paul Graham did a good job expounding on the virtues of Lisp, but even that
wasn't enough. Until now — and until this book.

This is a book for hobbyists — it's not a manual to teach you to program or help
you get a job writing code. And beware that the word fun in the title is a
specific kind of fun, the kind that appeals to people who like recreational
mathematics or exploring abstract ideas with code. If that's your idea of fun,
and I have to admit some tendencies in that direction myself, then this is the
sort of book that might appeal to you.

To start at the beginning, Racket is a Lisp-like programming language with a
large and active user community and ecosystem. DrRacket is an integrated
development environment that is known for being beginner friendly while have
extensive support for real development tasks such as refactoring, package
management and so on. [Continued]
Murach's Javascript and jQuery, 4th edition

Murach's books are big in every sense of the word. Physically this is a hefty
volume that weighs in at almost a kilo and a half across 753 pages. It's a big
book when it comes to the content too — this is a book that is light on filler,
digression and irrelevance. Now into a fourth edition, it's a book that takes
the beginning JavaScript programmer all the way from this is how you code a
variable to the basics of installing Node.js for server side programming. It's
what you'd expect from a book that promises to take you from Beginner to Pro
right there on the front cover.

The book is organised into four sections — each of which leads very naturally to
the next. There's a clear progression in which lessons learned previously are
applied almost immediately to the next section or topic. The authors, Mary
Delamater and Zak Ruvalcaba, do a great job in getting to the nitty gritty with
clear explanations and very concise code. For those interested in just getting
to the point, or else want to use the book as a quick reference, it's a format
that works really well.

The first section opens with the basics of JavaScript. Now obviously this also
involves HTML and CSS, and the reader is not assumed to know all of that
background already. However, the examples are well chosen so the reader is
guided through these topics as well as the JavaScript code. [Continued]
Data Science From Scratch

Back in the day, when I was doing my PhD, I would try and explain what it was I
was researching. It was sort of weird mix of programming, machine learning, data
mining and statistics, sort of. The nearest to a catchy phrase to encapsulate
this was 'intelligent data analysis', which never really too the world by storm.
These days of course I'd only have to say 'data science' and people would get
it, even if they only have the vaguest idea of what it entails. Even better, for
those who are really interested in learning what it means, there are plenty of
books which bring all of the elements that make up data science together in a
single volume — like this one.

Python is probably the programming language most often associated with data
science, but of course lots of other languages and tools are used in practice.
In my own case I use a lot of Java, with R and even Excel VBA coming in handy at
times. However, it's strictly Python in this book, although the author doesn't
assume any existing Python knowledge or experience. So, after a quick outline
about what data science is, and isn't, and the setting out of a series of
hypothetical problems to solve there is a crash course in Python. It feels
rushed of course, but when you consider that there are huge tomes devoted to
learning Python, cramming it all into one chapter is no mean feat. It helps if
you already have a programming language under your belt — just as it helps if
you follow along and actually pay close attention.

Python isn't the only crash course on offer — there are single chapter intros to
data visualisation, linear algebra, statistics, probability, inference and
gradient descent. [Continued]
Excel VBA Cell Comments

Whether you are working on a spreadsheet alone or with a group of colleagues,
cell comments are a useful mechanism for flagging items to come back to later,
or to ask questions or even just to draw someone else's attention. However, when
you have large numbers of comments distributed across multiple sheets it can
sometimes be difficult to keep track of things. Sometimes it would be useful to
be able to see all the comments in one place — particularly if you have a
mixture of comments which are hidden and shown. Luckily we can easily use VBA to
write some code to list the cells, values and comments on a separate sheet. As
an added bonus we'll add hyperlinks to make it easy to get back to the original
cells for editing.

As an example here are two sheets with some comments on them, note that cell D11
on the Data sheet contains a comment which isn't displayed.

To make our example a bit more useful we're going to ignore all comments which
aren't tagged with 'Review:' — so we want to ignore the comment in cell B13 on
the Data sheet.

The starting place for our VBA code is the Comments collection — this contains
the set of Comments for a given range. This has the advantage that we don't have
to check each cell to see if it contains a comment — we can check the entire
sheet to see if there's a comment on it.

In this code we're going to delete the content of the comments sheet each time
the code runs, and we're assuming that a sheet called Comments already exists.
The format we want is simple:


[Continued]
Excel/VBA Tutorials
Excel High School offers accredited Online High School courses for students
nationwide.
 * Excel VBA Tutorial: An introduction to programming Microsoft Excel using
   Visual Basic for Applications (VBA)
 * Debugging Excel VBA: An introduction to debugging VBA code in Excel's Visual
   Basic environment
 * File System Object Tutorial: A tutorial on using the File System Object with
   VBA




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