Download Python for Quants. Volume I. by Pawel Lachowicz PDF

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By Pawel Lachowicz

Python for Quants is the 1st book-series available in the market that takes you from absolutely the newbie point in Python programming in the direction of fast functions in Quantitative research, arithmetic, information, information research, Finance, and Algo buying and selling. Written with ardour, this ebook of exceptional caliber and in-depth insurance teaches you the necessities of Python that let you begin coding your rules, types, and fixing complicated difficulties without delay!

Volume I of Python for Quants trilogy is all approximately making you are feeling pleased with Python’s syntax and creativity of object-oriented programming. This quantity doesn't train you quantitative finance nor statistics; this can be the topic of quantity II and III. It teaches you Python 3.5 (2.7.10 suitable) utilized to quantitative difficulties by way of nice variety of separately crafted examples and ready-to-use Python codes.

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Next, we set a fixed precision for r to be considered from now on up to 3 decimal places only. 001) we create in Python an object to be viewed as a Decimal class. g. 001. This is exactly what we want to avoid! ) we implement a “Decimal” division. 001. specifying the precision of r to 3 decimal places. When it comes to derivation of s= 10000000 X r = r + r + ... + r i=1 we do not limit ourselves to the same precision. With decimal module we can obtain results precisely accurate up to the desired precision.

00000000058 then. So, would you care about those fractions of cents? 7. Near-Zero Maths Taking into account a limited precision of floats we may encounter some problems when calculating standard mathematical function like log or exp for very small values. Again, you must become aware of that fact but keep your sanity intact. Python’s math module takes care of tiny details. Therefore, if you are a perfectionist below there are some candies you may love. 1e" % (fabs(y-x), fabs(y-x))) print() is an equivalent to log(a, base=10) function and has been introduced to handle the precision better.

A quick check reveals that: >>> type(txt) what stands for string. Any non-numerical or semi-numerical sequence of characters embedded in single ( ' ) or double quotes ( " ) is treated as a string. Do you remember a Hollywood movie “No Strings Attached”? 9). There exists a more formal way of checking wether any given variable is of the string type or not. 2 str() if-elif-else Testing multiple logical conditions in Python never been easier. Don’t forget about colon (:) at the end. That’s the part of the syntax.

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