Python is a programming language invented by Guido van Rossum. The first version of python was released in 1991.
Python is an interpreted programming language, that is, it does not need to be compiled before executing it. If you have already touched a little programming, you will see that this language has a certain poetry. Programmers often have fun finding the most beautiful / effective way to write a sequence of instructions. Few criticize Python logic - unlike javascript for example .
The goal of this book is to teach you to think like a computer scientist. This way of thinking combines some of the best features of mathematics, engineering, and natural science. Like mathematicians, computer scientists use formal languages to denote ideas (specifically computations). Like engineers, they design things, assembling components into systems and evaluating tradeoffs among alternatives.
Table of contents
- The Python programming language
- The first program
- Exercises
- Variables, expressions and statements
- Variable names and keywords
- Statements
- Operators and operands
- Exercises
- Functions
- Function calls
- Type conversion functions
- Math functions
- Adding new functions
- Stack diagrams
- Fruitful functions and void functions
- Simple repetition
- Exercises
- Encapsulation
- Generalization
- Interface design
- Boolean expressions
- Logical operators
- Conditional execution
- Alternative execution
- Recursion
- Stack diagrams for recursive functions
- Infinite recursion
- Boolean functions
- More recursion
- List methods
- Map, filter and reduce
- Deleting elements
- Lists and strings
- Objects and values
- Aliasing
- List arguments
- Debugging
- Glossary
- Exercises
- Dictionaries
- Dictionary as a set of counters
- Looping and dictionaries
- Reverse lookup
- Dictionaries and lists
- Memos
- Global variables
- Long integers
- Exercises
- Tuples
- Tuples are immutable
- Tuple assignment
- Tuples as return values
- Variable-length argument tuples
- Lists and tuples
- Random numbers
- Word histogram
- Most common words
- Optional parameters
- Dictionary subtraction
- Random words
- Pipes
- Writing modules
- Time
- Pure functions
- Modifiers
- Inheritance
- Card objects
- Class attributes
- Comparing cards
- Decks
- Canvas widgets
- Coordinate sequences
Size : | 1067.59 Kb |
Downloads: | 1344 |
Created: | 2019-02-01 |
Warning: Trying to access array offset on false in /home/tutovnfz/public_html/amp/article-amp.php on line 263
Others related eBooks about Think Python, Free PDF tutorial
Download free course Python Datetime free PDF, pdf file on 3 pages by tutorialkart.com.
This book aims to enable the reader to quickly acquire a Python foundation. The material particularly feel quite comfortable to anyone with background in an object-oriented programming (OOP) language such as C++ or Java.
This book offers an initial introduction to programming for scientific and computational applications using the Python programming language. The presentation style is compact and example-based, making it suitable for students and researchers with little or no prior experience in programming.
As machine learning is increasingly leveraged to find patterns, conduct analysis, and make..., download free Python tutorial in PDF (135 pages) created by Michelle Morales .
This book offers a concise and gentle introduction to finite element programming in Python based on the popular FEniCS software library. Using a series of examples, including the Poisson equation, the equations of linear elasticity, the incompressible Navier–Stokes equations, and systems of nonl