Status Updates From Introduction to Computation...

Did the finger exercise among other things.

Got a greater understanding of logical conditionals and combinatorics by playing around for around 2hrs.

So branching processes which are conditional and Boolean valued r of complexity O(k) ?

Anyways logic is cool.

The computer is ur second brain.
Haven’t learned to use it yet!

Started working through the MIT OCW course 6.0001 that uses this book a couple weeks ago.

I’ve been neglecting it. Not any more.

Far too useful to pass up.

Finished 11 chapters (1:11) that correspond to MIT 6.00.1x course

I can't believe this is on GR but since it is, at least I can keep track of this course during this semester in college lol.

Of course, the book has its own way in introducing new concepts in OOP, also i find it more detailed in chapter 9, the way it introduces complexity measuring is good, but through all of the 8th chapter i did't find the examples to be useful, and i wish they will be changed in a later release.

Of course, the book has its own way in introducing new concepts in OOP, also i find it more detailed in chapter 9, the way it introduces complexity measuring is good, but through all of the 5th chapter i did't find the examples to be useful, and i wish they will be changed in a later release.

Disappointed..
i wish Chapter 6 was more practical than being written in a cumbersome way, but found the hope in the last 5 Pages in this chapter, specially i like the way of implementing the bisection search mechanism in debugging, i would have skipped to the last 5 pages if i knew.

Coming from Java, a strongly typed language with lots of type checking and type safety mechanisms, Python is much much more flexible, up till now i don't see any costs to this flexibility, but i'm sure that i will be put in a situation that makes me write more code to validate data types before manipulating them.

So far i can tell that for me python is amazing at solving problems in an easier way, unlike in java, for example when working with extremely large numbers it becomes missy in java with dozens of method calls from the BigInteger class for example, on the other hand, in python, you won't need the help of a library to manipulate large numbers.

Nice how it illustrates many approaches in a very different other than many books i've read so far, i'm kind of involved in solving lots of math problems now, but problem solving is a good programming skill

Serial entertainer

I'm reading portions of this book as I'm progressing through the MITx courses. I find it readable and at a good level for people new to Python. It works better if you have at least some idea of programming - in my case, as a young engineer in the 1970s. Modern programs have evolved and become much more capable; the concepts around OOP and the use of "classes" are new to me. All in all, though, a decent textbook.

raise the Exception to let the caller know, what mistake he did .

There is something very comforting about Newtonian mechanics.

In a span of just fifteen pages we have Sherlock Holmes, Rita Mae, JFK, Knight Capital's $440 million bug, glass-box testing, and treating debugging the same as designing an experiment. Oh and of course Grace Hopper. One memorable quote: "In industry, the testing process is often highly automated. Testers do not sit at terminals typing inputs and checking outputs."

"Abstraction is all about forgetting." Never really thought of it that way.

This looks to be a great intro-to-programming book. The concepts are introduced at a rapid-fire pace and in a refreshing order that enables quicker practical implementation. Not learning about functions and scoping until after implementing some numerical algorithms is definitely the way to go. And a big plus is using t-variables in all the algorithms; develops a good sense of runtime complexities.

كتاب تأسيسي لا غنى عنه، ليتني قابلته منذ زمن.

Excellent introduction to computational thinking, using Python as the medium

Inleder den: 12/7 - 2014
Anm: Används som ett komplement till "Learning Python, 5th ed".

12/7 - 14: Sid 14 av 281
13/7 - 14: Sid 28 av 281
20/7 - 14: Sid 41 av 281

Inleder den: 12/7 - 2014
Anm: Används som ett komplement till "Learning Python, 5th ed".

12/7 - 14: Sid 14 av 281
13/7 - 14: Sid 28 av 281

Inleder den: 12/7 - 2014
Anm: Används som ett komplement till "Learning Python, 5th ed".

12/7 - 14: Sid 14 av 281

Gah!!! No time for programming these days. This is going to be PENDING.

This book is the basis for EdX/MITx 6.00x and as such is indispensible to the course. It is a self- admittedly odd intro to Python and CS. The second half reflects Guttag's own interests in statistical analysis, which any good enginneer, even a software engineer, could use a healthy dose of. Still a work in progress. Look forward to the next edition.