Python Programming Essentials - M15 - References
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Skillbrew provides online courses and tutorials on software development and programming topics. The website is created and maintained by industry experts to share their knowledge and skills. References are an important concept in programming - when a variable is assigned to an object, it refers to that object but does not represent the object itself, so changes made through one variable are reflected in others referring to the same object.
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References
ios
android
windows
2
platforms = ['ios', 'android', 'windows']
mobile_platforms = platforms
platforms
mobile_platforms
Both variables refer
to same list in
memory](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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The document is about Python's datetime module. It introduces the module and the key classes it contains for manipulating dates and times, including Date, Time, and DateTime objects. It shows how to create datetime objects from these classes, extract attributes like year and hour, and perform operations like adding or subtracting days to manipulate dates. Examples are provided demonstrating common datetime tasks in Python like printing dates in different formats, finding today's date, and comparing datetime objects.
Python Programming Essentials - M22 - File Operations
This document discusses various methods for reading and writing files in Python, including open(), read(), readline(), readlines(), write(), seek(), and tell(). It provides examples of opening files, reading the contents, writing new text, and changing the file position. The open() function is used to open a file and return a file object, which then has various methods that can be called to perform operations on the file.
Python Programming Essentials - M21 - Exception Handling
This document discusses exception handling in Python. It explains that exceptions are errors that occur during program execution and can be handled using try, except, and raise keywords. The document covers throwing exceptions, catching exceptions using try/except blocks, propagating exceptions, using try/except/else and try/except/finally, and some common built-in Python exceptions. It also provides an example of defining a custom exception class.
Python Programming Essentials - M20 - Classes and Objects
This document discusses classes and objects in Python. It defines a Calculator class and demonstrates how to create class attributes, methods, and instances. It explains the __init__ method, self keyword, and how to access attributes and methods. It also covers data attributes versus class attributes, inheritance, method overriding, and calling parent methods. The document provides examples to illustrate these object-oriented programming concepts in Python.
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This document discusses namespaces, global variables, and docstrings in Python. It explains that namespaces are like dictionaries that keep track of variable names and values. There are local, global, and built-in namespaces. Variables defined outside functions are global and can be accessed from anywhere, but reassigned locally without changing the global value unless declared global. Docstrings provide documentation for modules, functions, classes and are accessed with object.__doc__.Python Programming Essentials - M18 - Modules and Packages
Modules allow organizing Python code into reusable files. The import statement accesses modules, with import module accessing all attributes and from module import function accessing specific functions. Packages are directories containing modules, allowing related modules to be grouped. The __name__ attribute determines if a module is run directly or imported, allowing main blocks to execute code when run directly but not on import.
Python Programming Essentials - M17 - Functions
The document discusses the basics of functions in Python, including what a function is, the advantages of using functions, how to define and call functions, and how to use parameters, return values, global variables, default arguments, keyword arguments, and docstrings when working with functions. Key points covered include how functions allow code reuse and decomposition of complex problems, how to define a function using the def keyword, how to call a defined function by name, and how docstrings provide documentation for functions and other objects.
Python Programming Essentials - M16 - Control Flow Statements and Loops
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This document discusses Python control flow statements and built-in constants. It covers truth value testing in Python, including objects considered False. It also covers if/elif/else statements, for loops, while loops, and the break, continue, and pass statements. The range function is described for generating numeric sequences, and the zip function is shown pairing multiple iterables. Built-in constants like True, False, and None are also summarized.Python Programming Essentials - M14 - Dictionaries
Dictionaries in Python are used to store data values in key-value pairs. A dictionary is created using curly braces {} with keys and their corresponding values separated by colons. Values can be accessed using their keys and dictionaries can be iterated over to access both keys and values. Common uses of dictionaries include storing contact information with name, phone, email as keys and values. Keys must be immutable objects like strings or numbers.
Python Programming Essentials - M13 - Tuples
The document discusses tuples in Python. It defines a tuple as an immutable sequence of items similar to a list. It provides examples of creating tuples using parentheses or packing, unpacking tuples into variables, accessing tuple elements by index, tuples with a single element requiring a trailing comma, common tuple operations like length, concatenation and slicing, and how tuples differ from lists in being immutable. It also covers converting between tuples and lists, and using tuples to return multiple values from functions.
Python Programming Essentials - M12 - Lists
The document discusses Python lists, which are ordered collections of items of any data type. It describes how to create, access, and modify lists using various functions and operations like append, insert, remove, sort, and slice. These include adding/removing elements, sorting/reversing lists, using lists as stacks with push/pop, and extracting sublist sections. The document provides examples of creating lists with different syntax, accessing elements by index, and using common list methods for operations.
Python Programming Essentials - M11 - Comparison and Logical Operators
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This document discusses Python operators such as comparison operators, logical operators, bitwise operators, shorthand operators, increment and decrement operators, and operator precedence. Comparison operators (>, <, ==, etc.) are used to compare values, logical operators (and, or, not) are used to combine conditional statements, and bitwise operators perform bit-level operations. Shorthand operators provide a concise way to perform operations like assignment, and operator precedence determines the order in which operations are performed.Python Programming Essentials - M10 - Numbers and Artihmetic Operators
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This document discusses numbers and arithmetic operators in Python. It covers number types like integers, floats, and complexes. It also describes common arithmetic operations like addition, subtraction, multiplication, division, exponents, and modulus. The document explains how to convert integers to binary, octal, and hexadecimal representations. Finally, it introduces bitwise operators and how they can be used to perform operations like AND, OR, XOR, left and right shifts, and one's complement.Python Programming Essentials - M9 - String Formatting
This document discusses string formatting in Python. It explains that Python uses placeholders like %s and %d to format strings with values. The % operator method of string formatting is deprecated in Python 3 and the str.format() method is recommended instead. The format() method allows accessing formatting arguments by position or name to customize the order and labels of values in formatted strings.
Python Programming Essentials - M8 - String Methods
This document discusses various string methods in Python including upper(), lower(), capitalize(), startswith(), endswith(), strip(), split(), and join(). It provides examples of how to use each method, such as converting strings to uppercase and lowercase, checking if a string starts or ends with certain text, stripping leading and trailing characters, and splitting or joining strings.
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Python Programming Essentials - M15 - References
- 1. http://www.skillbrew.com /SkillbrewTalent brewed by the industry itself References Pavan Verma @YinYangPavan 1 Founder, P3 InfoTech Solutions Pvt. Ltd. Python Programming Essentials
- 2. © SkillBrew http://skillbrew.com References ios android windows 2 platforms = ['ios', 'android', 'windows'] mobile_platforms = platforms platforms mobile_platforms Both variables refer to same list in memory
- 3. © SkillBrew http://skillbrew.com References (2) ios android Firefox 3 platforms[2] = 'firefox‘ print mobile_platforms ['ios', 'android', 'firefox'] platforms mobile_platforms Both variables refer to same list in memory
- 4. © SkillBrew http://skillbrew.com References (3) When you create an object and assign it to a variable, the variable only refers to the object and does not represent the object itself 4
- 5. © SkillBrew http://skillbrew.com Resources References http://ibiblio.org/g2swap/byteofPython/read/references.html 5
Editor's Notes
- Platforms and mobile_platforms both refer to same list in memory mobile_platforms = platforms does not create a copy of list instead they are just two variable names referring to the same list
- On changing platforms, the change is also reflected in variable mobile_platforms