Fast Lane to Python (Norm Matloff)

0.0 (0)
Fast Lane to Python (Norm Matloff)

The reader should be able to swiftly build a foundation in Python with the help of this book. Anyone having a background in object-oriented programming (OOP) language, such as C++ or Java, will find the content to be especially easy to understand.

Even without this background, one can still understand these sections, albeit one will likely have to read them more slowly than someone who is familiar with OOP. It would also be advantageous to have some familiarity with Linux, but it is not necessary.

Python is not only utilized on Linux; it is also used on Windows and Mac systems. Therefore, the majority of the claims made here about Linux will also apply to Macs. Everyone has their own perspective because programming is a personal, creative endeavor, as the author noted.

It covers all fundamental Python information. You can quickly and easily learn all of Python's fundamental skills. The book includes exams and answers for the college exam, the engineer certification exam, and the job interview exam in addition to practical examples for novices.

Ebook Details

About the Authors
Professor of computer science at the University of California, Davis, Norm Matloff is American. He formerly taught statistics there, therefore he addresses this topic from the perspectives of both a statistician and a computer scientist.
eBook Format
PDF (173 pages)

Similar Programming & Computer Books

Une introduction à Python 3 - An introduction to Python 3 (Bob Cordeau, et al)
This free programming course, which was originally designed for Physical Measurements students at the IUT d'Orsay, is more broadly geared toward anyone who wants to learn Python as their...
Le guide de l’auto-stoppeur pour Python! - The Hitchhiker's Guide to Python! (Kenneth Reitz)
This handcrafted guide was created to serve as a guideline of best practices for installing, configuring, and using Python on a daily basis for both newbie and experienced developers....
Apprendre à programmer avec Python - Learn to program with Python (Gerard Swinnen)
The version that is easiest to read on a computer using e-book reading software is this one (such as Atril or Caliber under Linux , for example). ...
Strategic Foundations of General Equilibrium: Dynamic Matching and Bargaining Games (Douglas Gale)
Since Adam Smith's day, the theory of competition has played a significant role in economic study. This book, published by one of the most eminent modern economic theorists, details...
The Pure Logic Of Choice (Richard D. Fuerle)
A broad theory of economics based on free will is presented in this free programming book. The assumption that humans have free will and the ability to alter physical...
Portfolio Theory and Financial Analyses (Robert Alan Hill)
Whether they involve calculating the return on a portfolio, analyzing portfolio risk, or assessing the effectiveness of the portfolio management process, this free programming book links each of the...
Price Theory: An Intermediate Text (David D. Friedman)
In order to help the reader grasp the economic way of thinking, the author first gives verbal, intuitive explanations of the topics before using graphs and/or calculus to illustrate...
Mathematical Models in Portfolio Analysis (Farida Kachapova)
This free programming book presents the mathematical theory of portfolio modeling in financial mathematics as a coherent whole, with justifications for each step. ...
Natural Language Processing with Python – Analyzing Text with the Natural Language Toolkit (Steven Bird, et al)
The Natural Language Toolkit (NLTK) book is updated for Python 3 and NLTK 3 in this online edition from 2015.  
Inventory Analytics: A Practicable, Python-Driven Approach (Roberto Rossi)
Inventory Control is an important study topic that is essential to supply chain planning. Inventory Analytics offers a thorough and understandable introduction to the theory and practice of inventory...

Others Programming Books by Norm Matloff

From Algorithms to Z-Scores: Probabilistic and Statistical Modeling in Computer Science (Norm Matloff)
This textbook is intended for computer science students taking a course on mathematical probability and statistics. Throughout, examples of computer science are employed in fields like computer networks, data...
Programming on Parallel Machines: GPU, Multicore, Clusters and More (Norm Matloff)
Applications requiring a lot of computation can benefit greatly from parallel machines. However, effective use of these devices necessitates a thorough comprehension of their operation.

Others Programming Books by University of California

Linear Algebra as an Introduction to Abstract Mathematics (Isaiah Lankham, et al)
This publication provides a thorough, abstract introduction to linear algebra and is based on lectures given at the University of California, Davis. ...
Introduction to Modern Cryptography (Mihir Bellare, et al.)
Today, cryptographic approaches are used in a wide range of contexts, including Web browsers, email applications, mobile devices, manufacturing systems, embedded software, smart buildings, automobiles, and even medical implants....
Programming on Parallel Machines: GPU, Multicore, Clusters and More (Norm Matloff)
Applications requiring a lot of computation can benefit greatly from parallel machines. However, effective use of these devices necessitates a thorough comprehension of their operation.

User reviews

There are no user reviews for this listing.
Rate this Book