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 |
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Created: | 2019-02-01 |
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An introduction to computer programming, using the easy, yet powerful, Python programming language. Python, a cross-platform language used by such organizations as Google and NASA, lets you work quickly and efficiently, allowing you to concentrate on your work rather than the language.
This book contains many ready-to-use, focused recipes for high-performance scientific computing and data analysis, from the latest IPython/Jupyter features to the most advanced tricks, to help you write better and faster code. You will apply these state-of-the-art methods to various real-world examp