Presentation is loading. Please wait.

Presentation is loading. Please wait.

Learning Python 5th Edition

Similar presentations


Presentation on theme: "Learning Python 5th Edition"— Presentation transcript:

1 Learning Python 5th Edition
Python Tutorial Learning Python 5th Edition

2 Why Python Python is a general-purpose programming language that is often applied in scripting roles. It is commonly defined as an object- oriented scripting language Why we use python Software quality Developer productivity Program portability Support libraries Component integration Enjoyment

3 Who Uses Python Today? Google, YouTube ,Dropbox storage service, The Raspberry Pisingle-board computer, EVE Online, a massively multiplayer online game (MMOG) by CCP Games, The widespread Bit Torrent peer-to-peer file sharing system, Industrial Light & Magic, Pixar, and others use Python in the production of animated movies. ESRI uses as customization tool for its popular GIS mapping products. Google’s App Engine web development framework The Iron Port server product Maya, a powerful integrated 3D modeling and animation system, The NSA uses Python for cryptography and intelligence analysis. iRobot uses Python to develop commercial and military robotic devices

4 What can I do with python
Systems Programming GUIs Internet Scripting Component Integration Database Programming Rapid Prototyping Numeric and Scientific Programming And More: Gaming, Images, Data Mining, Robots, Excel...

5 How Python Runs Programs?
Python Interpreter An interactive version of python that works in interpreted way Hello to interpreter Make a file with name script0.py Write this code and save it Run Program as

6 How you run programs Interactive way Entering multiline statements
Starting the python Or use GUI based environment Entering multiline statements

7 First Script Make a file in text editor (i.e. notepad) with name script1.py Run it like below route the printed output of a Python script to a file to save it for later use

8 Module import and reloads
every file of Python source code whose name ends in a .py extension is a module You can import the file within python environment as To use script again and again in running session Use reload method A module is mostly just a package of variable names (known as a Namespace) the names within that package are called attributes. An attribute is simply a variable name that is attached to a specific object (like a module)

9 Module Properties Make a variable in a file called myfile.py
Make a file threenames.py title = "The Meaning of Life"

10 Modules and namespaces
are the largest program structure in Python programs, and one of the first key concepts in the language Name Space Python programs are composed of multiple module files linked together by import statements, and each module file is a package of variables each module is a self-contained namespace there are more ways to run code stored in module files

11 Variable Name Rules Syntax: (underscore or letter) + (any number of letters, digits, or underscores) Case matters: SPAM is not the same as spam Reserved words are off-limits Naming conventions Names that begin with a single underscore (_X) are not imported by a from module import * statement Names that have two leading and trailing underscores (__X__) are system-defined names that have special meaning to the interpreter Names that begin with two underscores and do not end with two more (__X) are localized (“mangled”) to enclosing classes The name that is just a single underscore (_) retains the result of the last expression when you are working interactively

12 Types and Operations The Python Conceptual Hierarchy
Programs are composed of modules. Modules contain statements. Statements contain expressions. Expressions create and process objects.

13 Classes

14 Python Expressions

15 Variables and Basic Expressions
Variables are created when they are first assigned values. Variables are replaced with their values when used in expressions. Variables must be assigned before they can be used in expressions. Variables refer to objects and are never declared ahead of time. comment

16 Dynamic Typing Variables, Objects, and References

17 Reference Checking

18 String Python strings are categorized as immutable sequences

19 String Implicit concatenation: title = "Meaning " 'of' " Life“
Repetition: Triple Quotes Code Multiline Block Strings

20 String Indexing and Slicing
will fetch every other item in X from offsets 1–9 Character code conversions

21 Changing Strings Strings are immutable Method Call Syntax
Attribute fetches An expression of the form object.attribute means “fetch the value of attribute in object. Call expressions An expression of the form function(arguments) means “invoke the code of function, passing zero or more comma-separated argument objects to it, and return function’s result value Method call expression: object.method(arguments)

22 String class methods

23 String Methods: Examples

24 String Method Examples: Parsing Text

25 Other Common String Methods in Action

26 String Formatting Expressions
Allows us to perform multiple type-specific substitutions on a string in a single step String formatting expressions: '...%s...' % (values) String formatting method calls: '...{ }...'.format(values) Dictionary-Based Formatting Expressions

27 String Formatting Method Calls

28 Lists and Dictionaries
Ordered collections of arbitrary objects Accessed by offset Variable-length, heterogeneous, and arbitrarily nestable Of the category “mutable sequence” Arrays of object references

29 Lists

30 Dictionaries Accessed by key, not offset position
Unordered collections of arbitrary objects Variable-length, heterogeneous, and arbitrarily nestable Of the category “mutable mapping” Tables of object references (hash tables)

31

32 Tuples, Files, and Everything Else
Ordered collections of arbitrary objects Accessed by offset Of the category “immutable sequence” Fixed-length, heterogeneous, and arbitrarily nestable Arrays of object references

33 Tuples in Action Concatenation Repetition Indexing/Slicing

34 Files

35 Files in Action

36 Storing Python Objects in Files: Conversions

37 Statements and Syntax

38 Assignment Statements

39 Expression Statements

40 Decision Statements

41 Switch statement Block Delimiters: Indentation Rules
Statement Delimiters: Lines and Continuations Statements may span multiple lines if you’re continuing an open syntactic pair Statements may span multiple lines if they end in a backslash

42 Loops

43 Handling Errors with try Statements

44 Functions and Generators
def is executable code def creates an object and assigns it to a name lambda creates an object but returns it as a result return sends a result object back to the caller yield sends a result object back to the caller, but remembers where it left off global declares module-level variables that are to be assigned nonlocal declares enclosing function variables that are to be assigned Arguments are passed by assignment (object reference) Arguments are passed by position, unless you say otherwise Arguments, return values, and variables are not declared def Executes at Runtime

45 Functions: Examples Definition Arbitrary scope nesting Calls

46 Arguments Arguments are passed by automatically assigning objects to local variable names Assigning to argument names inside a function does not affect the caller Changing a mutable object argument in a function may impact the caller Immutable arguments are effectively passed “by value.” Mutable arguments are effectively passed “by pointer.”

47 Keyword and Default Examples

48 Arbitrary Arguments Examples
The last two matching extensions, * and ** (for keyword arguments only) , are designed to support functions that take any number of arguments.


Download ppt "Learning Python 5th Edition"

Similar presentations


Ads by Google