در این جلسه از کلاس به معرفی ساختار های داده ای در زبان پایتون و معرفی رشته ها و اعداد میپردازیم
PySec101 Fall 2013 J2E1 By Mohammad Reza Kamalifard
Talk About
Python Data Structures, Strings, Numbers,...
This document discusses Python variables, data types, and strings. Python variables do not have an associated type and instead reference objects stored in memory. The variable name acts as a reference to the object. Data types in Python include strings, numbers, lists, dictionaries, tuples, Booleans, and others. Strings can be defined using single quotes, double quotes, triple quotes for multiline strings, and the r prefix for raw strings to disable escaping characters.
The document provides information about using IDLE to edit and run Python scripts under Windows. It discusses using IDLE as an interactive development environment with a graphical user interface. The startup message for IDLE is shown, indicating the version number and interactive mode. Basic variable types and operations in Python like integers, floats, strings, Boolean expressions, and lists are introduced.
Mysql Performance Optimization Indexing Algorithms and Data StructuresAbhijit Mondal
The document discusses various indexing strategies and data structures in MySQL for high performance, including:
1. Hash indexes use a hash table to store keys and row pointers for exact match queries in constant time, but don't support range queries.
2. B-tree indexes support range, prefix and multicolumn queries in O(log n) time and are widely used in databases like InnoDB.
3. Indexing strategies recommend isolating columns to be indexed and using prefix indexes for columns like text to improve selectivity and performance of queries.
In this chapter we will explore strings. We are going to explain how they are implemented in Java and in what way we can process text content. Additionally, we will go through different methods for manipulating a text: we will learn how to compare strings, how to search for substrings, how to extract substrings upon previously settled parameters and last but not least how to split a string by separator chars. We will demonstrate how to correctly build strings with the StringBuilder class. We will provide a short but very useful information for the most commonly used regular expressions.
The document discusses cryptographic hash functions, including an overview of their usage, properties, structures, attacks, and the need for a new secure hash standard. It describes how hash functions work by condensing arbitrary messages into fixed-size message digests. The properties of preimage resistance, second preimage resistance, and collision resistance are explained. Common hashing algorithms like MD5, SHA-1, and SHA-2 are outlined along with vulnerabilities like birthday attacks. The document concludes by noting the need to replace standards like MD5 and SHA-1 due to successful cryptanalysis attacks.
The document summarizes key concepts about Strings in Java including:
1. Strings can be created using double quotes or by converting a character array to a String.
2. The length() method returns the number of characters in a String.
3. Strings can be concatenated using the + operator or concat() method.
4. The format() method can be used to create formatted String outputs.
5. Common String methods include charAt(), compareTo(), indexOf(), and length().
1. Python provides various built-in container types including lists, tuples, dictionaries, sets, and strings for storing and organizing data.
2. These container types support common operations like indexing, slicing, membership testing, and methods for insertion, deletion, and modification.
3. The document provides examples of using operators and built-in functions to perform tasks like formatting strings, file I/O, conditional logic, loops, functions, and exceptions.
An array is a container that holds a fixed number of values of the same type. An array's length is determined when it is created and cannot be changed. The document then provides an example of creating an integer array called "scores" with 4 elements to store the scores of 4 cricket teams. It demonstrates accessing the elements of the array using indexes and printing the team scores.
This document discusses Python variables, data types, and strings. Python variables do not have an associated type and instead reference objects stored in memory. The variable name acts as a reference to the object. Data types in Python include strings, numbers, lists, dictionaries, tuples, Booleans, and others. Strings can be defined using single quotes, double quotes, triple quotes for multiline strings, and the r prefix for raw strings to disable escaping characters.
The document provides information about using IDLE to edit and run Python scripts under Windows. It discusses using IDLE as an interactive development environment with a graphical user interface. The startup message for IDLE is shown, indicating the version number and interactive mode. Basic variable types and operations in Python like integers, floats, strings, Boolean expressions, and lists are introduced.
Mysql Performance Optimization Indexing Algorithms and Data StructuresAbhijit Mondal
The document discusses various indexing strategies and data structures in MySQL for high performance, including:
1. Hash indexes use a hash table to store keys and row pointers for exact match queries in constant time, but don't support range queries.
2. B-tree indexes support range, prefix and multicolumn queries in O(log n) time and are widely used in databases like InnoDB.
3. Indexing strategies recommend isolating columns to be indexed and using prefix indexes for columns like text to improve selectivity and performance of queries.
In this chapter we will explore strings. We are going to explain how they are implemented in Java and in what way we can process text content. Additionally, we will go through different methods for manipulating a text: we will learn how to compare strings, how to search for substrings, how to extract substrings upon previously settled parameters and last but not least how to split a string by separator chars. We will demonstrate how to correctly build strings with the StringBuilder class. We will provide a short but very useful information for the most commonly used regular expressions.
The document discusses cryptographic hash functions, including an overview of their usage, properties, structures, attacks, and the need for a new secure hash standard. It describes how hash functions work by condensing arbitrary messages into fixed-size message digests. The properties of preimage resistance, second preimage resistance, and collision resistance are explained. Common hashing algorithms like MD5, SHA-1, and SHA-2 are outlined along with vulnerabilities like birthday attacks. The document concludes by noting the need to replace standards like MD5 and SHA-1 due to successful cryptanalysis attacks.
The document summarizes key concepts about Strings in Java including:
1. Strings can be created using double quotes or by converting a character array to a String.
2. The length() method returns the number of characters in a String.
3. Strings can be concatenated using the + operator or concat() method.
4. The format() method can be used to create formatted String outputs.
5. Common String methods include charAt(), compareTo(), indexOf(), and length().
1. Python provides various built-in container types including lists, tuples, dictionaries, sets, and strings for storing and organizing data.
2. These container types support common operations like indexing, slicing, membership testing, and methods for insertion, deletion, and modification.
3. The document provides examples of using operators and built-in functions to perform tasks like formatting strings, file I/O, conditional logic, loops, functions, and exceptions.
An array is a container that holds a fixed number of values of the same type. An array's length is determined when it is created and cannot be changed. The document then provides an example of creating an integer array called "scores" with 4 elements to store the scores of 4 cricket teams. It demonstrates accessing the elements of the array using indexes and printing the team scores.
The document discusses strategies for porting code to Python 3. It recommends either only supporting Python 3 and running code through the 2to3 converter once, or maintaining separate code branches and running 2to3 on the Python 3 branch. It also discusses continuously running 2to3 on code during development. Common porting issues include bytes handling, print becoming a function, dict methods changing, and test failures. The document provides workarounds and examples for many of these issues.
Characteristics of Java and basic programming constructs like Data types, Variables, Operators, Control Statements, Arrays are discussed with relevant examples
This document provides information on arrays and functions in Java. It discusses how to declare, initialize, access elements of arrays including multi-dimensional arrays. It also covers passing arguments to functions by value and reference, copying arrays, sorting arrays, and anonymous arrays. Functions can modify arguments passed by reference like arrays but not primitive types or object references passed by value.
These are the slides of the second part of this multi-part series, from Learn Python Den Haag meetup group. It covers List comprehensions, Dictionary comprehensions and functions.
This document provides an overview of Java basics, including language fundamentals like variables, operators, control flow, and arrays. It discusses converting ideas into programs and the Java compilation process. The first Java program structure is explained. Naming conventions and variable rules are covered, along with data types, literals, and arithmetic operators. Control flow structures like if/else, switch, and loops are described. The document also discusses arrays, breaks, and methods for initializing multi-dimensional arrays.
An array in Java is a group of variables of the same type that can store multiple values. Arrays are created using syntax like int[] arrayName = new int[size]; and values are assigned to elements in the array using indexes that start from 0. For example, an int array of size 4 could be initialized with values through arrayName[0]=1; arrayName[1]=22; etc. The document also provides a short Java program example to demonstrate printing the values of an int array.
Google interviewer asked for an algorithm to extract the k smallest elements from a set of ordered arrays. I suggested a vectorised bucket sort and merge sort approach. I took the problem offline and produced this analysis and C++.
This document discusses string handling in C++. It defines a string as a collection of characters written in double quotation marks. Strings can be declared and initialized similarly to character arrays. The cin object and cin.getline() function can be used to input strings with or without spaces. Arrays of strings are two-dimensional character arrays that store multiple strings. Common string functions include memcpy() to copy characters, strcmp() to compare strings, strcpy() to copy one string to another, strlen() to find the length of a string, and strcat() to concatenate two strings.
Hash functions are used to compress variable length messages into fixed length digests. They provide compression, efficiency, and hide message content. Properties include one-way, weak collision, and strong collision resistance. Merkle-Damgard iteration is used to build cryptographic hash functions from compression functions. Applications include digital signatures, message authentication codes, and key derivation. Common hash functions are MD4, MD5, and SHA which use Boolean functions and updating rules in their algorithms. Hash functions provide security by making it difficult to find collisions or inputs that result in specific outputs.
The document provides specifications for a regular expression problem involving matching words from a dictionary to tile patterns containing wildcards. It specifies that the system should:
1) Find words from the dictionary that match patterns formed by 7 tiles, where blank tiles act as wildcards.
2) Perform the matching in O(n) time complexity to allow processing hundreds of tile sets efficiently.
3) Include test code that verifies the solution by exhaustively generating all permutations of tile patterns and matching them to words, for comparison with the algorithm's results.
Structures allow the grouping of related data under a single name. They can contain variables of different data types. A structure is defined using the struct keyword and variables of that structure type can then be declared. Structure members are accessed using the dot operator or arrow operator with pointers. Unions share the same memory space for different data types, allowing only one data type to be stored at a time.
In this chapter we will review how to work with text files in C#. We will explain what a stream is, what its purpose is, and how to use it. We will explain what a text file is and how can you read and write data to a text file and how to deal with different character encodings. We will demonstrate and explain the good practices for exception handling when working with files. All of this will be demonstrated with many examples in this chapter
This document provides an overview of string manipulation in C++. It discusses C-style strings and introduces C++ strings as objects of the string class. It describes various string constructors, functions for comparison, concatenation, insertion, extraction and other operations. Examples are given to demonstrate the use of functions like length(), capacity(), empty(), at(), find(), assign(), begin() and end(). The document is intended as a lecture on object-oriented string handling in C++.
This document provides an overview of dictionaries, hash tables, and sets. It discusses the dictionary abstract data type and how it can be implemented using hash tables. It covers hashing, collision resolution strategies, and the .NET Dictionary<TKey, TValue> class. It also discusses sets and the HashSet<T> and SortedSet<T> classes, comparing their time complexities.
This document provides a cheat sheet for Python 3.7 beginners, summarizing some common built-in functions and their usage including:
- Print() to output strings or objects to the console.
- Len() to return the number of items in a string or object.
- Help() to view documentation for any function.
- Range() to create an iterable of integers within a specified range.
- Enumerate() to access each item and its index in an iterable like a list.
- Sorted() to sort an iterable without mutating the original.
- Open() to open files for reading or writing text.
- Type() to check the type of an
1) Base types in Python include integers, floats, booleans, strings, bytes, lists, tuples, dictionaries, sets, and None. These types support various operations like indexing, slicing, membership testing, and type conversions.
2) Common loop statements in Python are for loops and while loops. For loops iterate over sequences, while loops repeat as long as a condition is true. Loop control statements like break, continue, and else can be used to control loop execution.
3) Functions are defined using the def keyword and can take parameters and return values. Functions allow for code reusability and organization. Built-in functions operate on containers to provide functionality like sorting, summing, and converting between types.
This document provides a concise reference card summarizing key aspects of the Python 2.5 programming language, including variable types, basic syntax, object orientation, modules, exceptions, input/output, and the standard library. It covers topics like numbers, sequences, dictionaries, sets, functions, classes, imports, exceptions, files, and common library modules.
Groovy Closures allows defining and passing code blocks (closures) as arguments to methods. Closures in Groovy are similar to lambdas in Java 8 and support defining parameters, implicit parameters, and variable arguments. Closures can be passed around and used within methods to perform operations on method arguments or variables.
The Ring programming language version 1.10 book - Part 31 of 212Mahmoud Samir Fayed
The document provides information about string manipulation in Ring programming language. It describes how to create strings, get string length, convert case, access characters, trim whitespace, compare strings, and convert between strings and lists. Functions covered include len(), upper(), lower(), left(), right(), trim(), copy(), lines(), substr(), strcmp(), str2list(), and list2str(). It also discusses merging binary character values from strings.
The document discusses strings in C and C++. It explains that strings are not a built-in data type in C/C++ and describes C-style strings as character arrays terminated by a null character. It also discusses C++ string classes like std::string. The document provides examples of using C-style strings and C++ strings. It describes common string functions in C++ for manipulating and comparing strings.
This document discusses the history of open source software and the internet from the 1960s to the present. It notes that in the 1970s, software was generally shared as a hobby but some argued developers should be paid. The first UNIX operating system source code was released to universities in 1977. The document encourages contributing to open source projects through testing, reporting bugs, answering questions, and participating in communities to avoid working alone.
در این جلسه از کلاس به ساختار های داده
Set, Tuple, Dictionary
پرداختیم
PySec101 Fall 2013 J3E1 By Mohammad Reza Kamalifard
Talk About :
Sets,Tuples and Dictionary Data Types in Python
The document discusses strategies for porting code to Python 3. It recommends either only supporting Python 3 and running code through the 2to3 converter once, or maintaining separate code branches and running 2to3 on the Python 3 branch. It also discusses continuously running 2to3 on code during development. Common porting issues include bytes handling, print becoming a function, dict methods changing, and test failures. The document provides workarounds and examples for many of these issues.
Characteristics of Java and basic programming constructs like Data types, Variables, Operators, Control Statements, Arrays are discussed with relevant examples
This document provides information on arrays and functions in Java. It discusses how to declare, initialize, access elements of arrays including multi-dimensional arrays. It also covers passing arguments to functions by value and reference, copying arrays, sorting arrays, and anonymous arrays. Functions can modify arguments passed by reference like arrays but not primitive types or object references passed by value.
These are the slides of the second part of this multi-part series, from Learn Python Den Haag meetup group. It covers List comprehensions, Dictionary comprehensions and functions.
This document provides an overview of Java basics, including language fundamentals like variables, operators, control flow, and arrays. It discusses converting ideas into programs and the Java compilation process. The first Java program structure is explained. Naming conventions and variable rules are covered, along with data types, literals, and arithmetic operators. Control flow structures like if/else, switch, and loops are described. The document also discusses arrays, breaks, and methods for initializing multi-dimensional arrays.
An array in Java is a group of variables of the same type that can store multiple values. Arrays are created using syntax like int[] arrayName = new int[size]; and values are assigned to elements in the array using indexes that start from 0. For example, an int array of size 4 could be initialized with values through arrayName[0]=1; arrayName[1]=22; etc. The document also provides a short Java program example to demonstrate printing the values of an int array.
Google interviewer asked for an algorithm to extract the k smallest elements from a set of ordered arrays. I suggested a vectorised bucket sort and merge sort approach. I took the problem offline and produced this analysis and C++.
This document discusses string handling in C++. It defines a string as a collection of characters written in double quotation marks. Strings can be declared and initialized similarly to character arrays. The cin object and cin.getline() function can be used to input strings with or without spaces. Arrays of strings are two-dimensional character arrays that store multiple strings. Common string functions include memcpy() to copy characters, strcmp() to compare strings, strcpy() to copy one string to another, strlen() to find the length of a string, and strcat() to concatenate two strings.
Hash functions are used to compress variable length messages into fixed length digests. They provide compression, efficiency, and hide message content. Properties include one-way, weak collision, and strong collision resistance. Merkle-Damgard iteration is used to build cryptographic hash functions from compression functions. Applications include digital signatures, message authentication codes, and key derivation. Common hash functions are MD4, MD5, and SHA which use Boolean functions and updating rules in their algorithms. Hash functions provide security by making it difficult to find collisions or inputs that result in specific outputs.
The document provides specifications for a regular expression problem involving matching words from a dictionary to tile patterns containing wildcards. It specifies that the system should:
1) Find words from the dictionary that match patterns formed by 7 tiles, where blank tiles act as wildcards.
2) Perform the matching in O(n) time complexity to allow processing hundreds of tile sets efficiently.
3) Include test code that verifies the solution by exhaustively generating all permutations of tile patterns and matching them to words, for comparison with the algorithm's results.
Structures allow the grouping of related data under a single name. They can contain variables of different data types. A structure is defined using the struct keyword and variables of that structure type can then be declared. Structure members are accessed using the dot operator or arrow operator with pointers. Unions share the same memory space for different data types, allowing only one data type to be stored at a time.
In this chapter we will review how to work with text files in C#. We will explain what a stream is, what its purpose is, and how to use it. We will explain what a text file is and how can you read and write data to a text file and how to deal with different character encodings. We will demonstrate and explain the good practices for exception handling when working with files. All of this will be demonstrated with many examples in this chapter
This document provides an overview of string manipulation in C++. It discusses C-style strings and introduces C++ strings as objects of the string class. It describes various string constructors, functions for comparison, concatenation, insertion, extraction and other operations. Examples are given to demonstrate the use of functions like length(), capacity(), empty(), at(), find(), assign(), begin() and end(). The document is intended as a lecture on object-oriented string handling in C++.
This document provides an overview of dictionaries, hash tables, and sets. It discusses the dictionary abstract data type and how it can be implemented using hash tables. It covers hashing, collision resolution strategies, and the .NET Dictionary<TKey, TValue> class. It also discusses sets and the HashSet<T> and SortedSet<T> classes, comparing their time complexities.
This document provides a cheat sheet for Python 3.7 beginners, summarizing some common built-in functions and their usage including:
- Print() to output strings or objects to the console.
- Len() to return the number of items in a string or object.
- Help() to view documentation for any function.
- Range() to create an iterable of integers within a specified range.
- Enumerate() to access each item and its index in an iterable like a list.
- Sorted() to sort an iterable without mutating the original.
- Open() to open files for reading or writing text.
- Type() to check the type of an
1) Base types in Python include integers, floats, booleans, strings, bytes, lists, tuples, dictionaries, sets, and None. These types support various operations like indexing, slicing, membership testing, and type conversions.
2) Common loop statements in Python are for loops and while loops. For loops iterate over sequences, while loops repeat as long as a condition is true. Loop control statements like break, continue, and else can be used to control loop execution.
3) Functions are defined using the def keyword and can take parameters and return values. Functions allow for code reusability and organization. Built-in functions operate on containers to provide functionality like sorting, summing, and converting between types.
This document provides a concise reference card summarizing key aspects of the Python 2.5 programming language, including variable types, basic syntax, object orientation, modules, exceptions, input/output, and the standard library. It covers topics like numbers, sequences, dictionaries, sets, functions, classes, imports, exceptions, files, and common library modules.
Groovy Closures allows defining and passing code blocks (closures) as arguments to methods. Closures in Groovy are similar to lambdas in Java 8 and support defining parameters, implicit parameters, and variable arguments. Closures can be passed around and used within methods to perform operations on method arguments or variables.
The Ring programming language version 1.10 book - Part 31 of 212Mahmoud Samir Fayed
The document provides information about string manipulation in Ring programming language. It describes how to create strings, get string length, convert case, access characters, trim whitespace, compare strings, and convert between strings and lists. Functions covered include len(), upper(), lower(), left(), right(), trim(), copy(), lines(), substr(), strcmp(), str2list(), and list2str(). It also discusses merging binary character values from strings.
The document discusses strings in C and C++. It explains that strings are not a built-in data type in C/C++ and describes C-style strings as character arrays terminated by a null character. It also discusses C++ string classes like std::string. The document provides examples of using C-style strings and C++ strings. It describes common string functions in C++ for manipulating and comparing strings.
This document discusses the history of open source software and the internet from the 1960s to the present. It notes that in the 1970s, software was generally shared as a hobby but some argued developers should be paid. The first UNIX operating system source code was released to universities in 1977. The document encourages contributing to open source projects through testing, reporting bugs, answering questions, and participating in communities to avoid working alone.
در این جلسه از کلاس به ساختار های داده
Set, Tuple, Dictionary
پرداختیم
PySec101 Fall 2013 J3E1 By Mohammad Reza Kamalifard
Talk About :
Sets,Tuples and Dictionary Data Types in Python
جلسه ۱۸۶ تهران لاگ
By: Mohammad reza Kamalifard
این ارائه در خصوص انواع حمله کنندگان آنلاین ، حملات دولت ها حریم شخصی کاربران و راه حل ها آن محصولی از DSME است
http://datasec.ir
ارائه شده توسط: محمد رضا کمالی فرد
در این جلسه از کلاس در خصوص تاریخچه پایتون و زبان پایتون صحبت شد
PySec101 Fall 2013 J1E1 By Mohammad Reza Kamalifard
Talk about : Python History and Python language Essentials.
The document discusses using Python for ethical hacking and penetration testing. It provides reasons for using Python such as its ease of use, readable syntax, rich libraries, and existing tools. It then covers various Python libraries and frameworks used for tasks like reconnaissance, scanning, exploitation, and packet manipulation. Specific topics covered include file I/O, requests, sockets, scapy, and more.
This document introduces the Flask micro web framework. It discusses that Flask provides URL routing, request and response objects, template engines and other features for web development. Flask is simple and extensible, using Werkzeug and Jinja2. It does not include an ORM or form validation, but supports extensions. The document provides examples of basic routing, using request objects, templates and the development server. It also discusses using SQLAlchemy, WTForms and common patterns like MVC with Flask projects.
This document provides an overview and instructions for a course in Python programming. It discusses the recommended course literature, including Learning Python and Python in a Nutshell books. It also describes using the IDLE integrated development environment for writing and running Python code on Windows and Unix systems. The document then begins covering basic Python concepts like variables, data types, strings, lists, dictionaries and objects.
Python is a multi-paradigm programming language that is object-oriented, imperative and functional. It is dynamically typed, with support for complex data types like lists and strings. Python code is commonly written and executed using the interactive development environment IDLE.
Python is a multi-paradigm programming language that is object-oriented, imperative and functional. It is an interpreted language with dynamic typing, automatic memory management and many useful features including a large standard library. Python code can be written and executed using the interactive IDE named IDLE.
Python is a multi-paradigm programming language that is object-oriented, imperative and functional. It is dynamically typed, with support for complex data types like lists and strings. Python code is commonly written and executed using the interactive development environment IDLE.
Python is a multi-paradigm programming language that supports object-oriented, imperative and functional programming styles. It is dynamically typed and supports complex data types like lists, dictionaries and objects. Some key features of Python include being highly readable, having extensive libraries, and being cross-platform.
Python is a multi-paradigm programming language that is object-oriented, imperative and functional. It is dynamically typed, with support for complex data types like lists and strings. Python code is commonly written and executed using the interactive development environment IDLE.
Python is a multi-paradigm programming language that supports object-oriented, imperative and functional programming styles. It is dynamically typed and supports complex data types like lists, dictionaries and objects. Some key features of Python include being highly readable, having extensive libraries, and being cross-platform.
Python is a multi-paradigm programming language that is object-oriented, imperative and functional. It is dynamically typed, with support for complex data types like lists and strings. Python code is commonly written and executed using the interactive development environment IDLE.
Classes allow programmers to create new types that model real-world objects. A class defines both data attributes and built-in operations that can operate on that data. C++ provides built-in classes like string and iostream that add powerful functionality to the language. The string class allows easy storage and manipulation of strings, while the iostream classes (istream and ostream) define objects like cin and cout for input/output. These classes provide many useful built-in operations that make input/output powerful yet easy to use.
Python is an interpreted, object-oriented programming language similar to PERL, that has gained popularity because of its clear syntax and readability.
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics.
Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together.
Python is an interpreted, object-oriented programming language similar to PERL, that has gained popularity because of its clear syntax and readability.
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics.
Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together.
Basics of python with suitable examples (data types, loops (if, else, elif, while, for) , functions and its types and a program in python used for ordering the numbers)
This document provides an introduction to Python programming. It demonstrates how to open a Python terminal or IDE, use basic data types like integers, floats, strings, lists, tuples and dictionaries. It shows how to take user input, read and write files, use conditional and loop statements, define functions, and more. Some key points covered include:
- Python uses indentation rather than braces to define code blocks for conditionals and loops.
- All variables are references to objects, and objects have dynamic types.
- Common data types include integers, floats, strings, lists, tuples, dictionaries, booleans, and None.
- Lists and dictionaries are mutable, while tuples are immutable.
- Functions
Python is an interpreted high-level general-purpose programming language. Its design philosophy emphasizes code readability with its use of significant indentation. Its language constructs as well as its object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects
C++ allows for concise summaries in 3 sentences or less:
The document provides an overview of C++ concepts including data types, variables, operators, functions, classes, inheritance and virtual members. It also covers process and thread concepts at a high level. Code examples are provided to illustrate namespaces, input/output, program flow control, overloading, dynamic memory allocation, and classes. The document serves as a brief review of fundamental C++ and system programming concepts.
This document discusses Python string data types and operations. Some key points covered include:
- Strings can be defined using single quotes or double quotes and support indexing, slicing, and string operations like concatenation and comparison.
- Common string methods allow searching, modifying, and analyzing string content through functions like find(), lower(), strip(), and replace().
- Strings can be looped through to access individual characters using a for loop or while loop with indexing.
- The len() function returns the length of a string and special string values like -1 are returned when substrings are not found during searches.
This document provides an introduction to Python including:
- The major versions of Python and their differences
- Popular integrated development environments for Python
- How to set up Python environments using Anaconda and Eclipse
- An overview of Python basics like variables, numbers, strings, lists, dictionaries, modules and functions
- Examples of Python control flow structures like conditionals and loops
Programming python quick intro for schoolsDan Bowen
This document provides an introduction to computing and programming concepts such as what a computer program is, binary and machine code, assembly code, interpreters and compilers, structured programs using sequences, branches, loops and modules. It discusses programming concepts like variables, strings, arithmetic operations, conditional statements, loops, functions, modules and file input/output. The key points are that a computer program is a set of instructions, programming involves different levels of representation from binary to assembly to high-level languages, and programming uses basic constructs like sequences, branches, loops to structure programs.
This document provides an introduction to Python programming concepts including data types, operators, control flow statements, functions and modules. It discusses the basic Python data types like integers, floats, booleans, strings, lists, tuples, dictionaries and sets. It also covers Python operators like arithmetic, assignment, comparison, logical and identity operators. Additionally, it describes control flow statements like if/else and for loops. Finally, it touches on functions, modules and input/output statements in Python.
Python is a programming language developed in 1989 that is still actively developed. It draws influences from languages like Perl, Java, C, C++, and others. Python code is portable, free, and recommended for tasks like system administration scripts, web development, scientific computing, and rapid prototyping. It has a simple syntax and is optionally object-oriented and multi-threaded. Python has extensive libraries for tasks like string manipulation, web programming, databases, and interface design. Popular applications of Python include web development, data analysis, scientific computing, and scripting.
Similar to جلسه دوم پایتون برای هکر های قانونی دوره مقدماتی پاییز ۹۲ (20)
در این جلسه به بررسی ساختار های شرطی و حلقه ها در پایتون پرداختیم
PySec101 Fall 2013 J4E1 By Mohammad Reza Kamalifard
Talk About:
Statements: Conditional Statements and Loop Statements
This document discusses modular programming in Python for ethical hackers. Modular programming breaks code into separate modules to make programs more readable, reliable, and maintainable. A module in Python is a file containing definitions and statements, and takes its name from the file name minus the .py extension. The document demonstrates creating a calculator module with add and sub functions, and importing and using those functions in a test program. It recommends several references for further reading on Python modules and programming.
در این جلسه به بحث
Namespace
Local and Global variables
پرداختیم
PySec101 Fall 2013 J6E2 By Mohammad Reza Kamalifard
Talk About:
Namespace and Local,Global variables in Python
در این جلسه به بررسی بحث برنامه نویسی شی گرا و کلاس ها در پایتون پرداختیم
PySec101 Fall 2013 J7E1 By Mohammad Reza Kamalifard
Talk About:
Object oriented programming and Classes in Python
This document discusses network programming in Python using sockets. It explains that sockets allow communication across networks and the Python socket module provides an interface to work with sockets. It then describes how to create server and client sockets, including binding, listening, accepting connections, and sending/receiving data. It also covers different socket address families like AF_INET for IPv4 and provides code examples for a basic echo server and handling multiple clients using threads or processes.
The document discusses signals in Python programming. It defines signals as allowing handling of asynchronous events. It provides examples of common signals like SIGINT and SIGKILL. It also demonstrates how to write a signal handler in Python to intercept Ctrl-C keyboard interrupts and print a custom message, showing how signals can be used to prevent programs from terminating normally.
The document discusses multi-threaded programming and queues in Python. It describes how to create and manage threads using the thread and threading modules, including starting new threads and getting information about active threads. It also explains how to use queues to coordinate work between threads, including putting and getting items from the queue and waiting for tasks to complete. An example demonstrates creating worker threads that process tasks from a queue and notify the queue when finished.
The document discusses the subprocess module in Python, which allows Python programs to spawn new processes and connect to their input/output/error pipes. It provides examples of using subprocess.call() to run system commands like ls and ps, and subprocess.check_output() to capture the output of commands. The subprocess module intends to replace older modules for process management like os.system, os.spawn, and popen2.
The document discusses Python classes and object-oriented programming concepts. It defines key terms like class, object, method, and inheritance. It provides examples of creating a basic Employee class with methods and instance variables. It also covers class variables, accessing object attributes, adding/removing attributes, inheritance, and overriding methods in subclasses. The goal is to teach Python language essentials for object-oriented programming.
Forking duplicates a process, creating a child process that is identical to the parent. The fork() call returns 0 in the child process and the child's PID in the parent. This allows the parent and child processes to execute independently with different PIDs. Exec functions like execvp() overlay the parent process with a new program, replacing the current process instead of duplicating it like fork().
This document discusses Python directory navigation and file management. It shows how to use the os module to get the current working directory, list files in a directory, create and remove directories, check if an item is a file or directory, and traverse a directory listing files and their types. Code examples demonstrate os.getcwd(), os.listdir(), os.mkdir(), os.rmdir(), and os.path.isfile() and os.path.isdir() to interact with directories and files in Python.
This document discusses file handling in Python. It covers opening, reading, writing, and closing files using functions like open(), read(), write(), and close(). It demonstrates creating a file, appending to it, and reading it line by line. It also shows renaming and removing files using the os module functions os.rename() and os.remove(). The full list of file access modes like read, write, and append are also described.
This document discusses exception handling in Python. It explains that exceptions are error conditions that disrupt normal program flow. Python allows exceptions to be handled elegantly using try and except blocks. It demonstrates how to handle specific exception types like ZeroDivisionError, and how else and finally clauses work with exception handling. The goal is to provide a simple introduction to exception handling in Python.
This document discusses creating modules in Python. It explains that modules allow for better organization of code by defining classes, functions, and variables that can be imported and used in other files. It provides an example of creating a calculator module with add and sub functions, and shows how that module can be imported and its functions called from another file to perform calculations. It also demonstrates importing specific functions from a module using the from keyword.
The document discusses Python conditional statements, loops, and indentation. It covers if/elif statements, while and for loops, and how they work. It provides examples of using conditional logic and loops to check conditions and iterate over items in Python. Proper indentation is emphasized as important in Python to delimit code blocks.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
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Temple of Asclepius in Thrace. Excavation resultsKrassimira Luka
The temple and the sanctuary around were dedicated to Asklepios Zmidrenus. This name has been known since 1875 when an inscription dedicated to him was discovered in Rome. The inscription is dated in 227 AD and was left by soldiers originating from the city of Philippopolis (modern Plovdiv).
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Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
This presentation was provided by Racquel Jemison, Ph.D., Christina MacLaughlin, Ph.D., and Paulomi Majumder. Ph.D., all of the American Chemical Society, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.
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جلسه دوم پایتون برای هکر های قانونی دوره مقدماتی پاییز ۹۲
1. Python for ethical hackers
Mohammad reza Kamalifard
kamalifard@datasec.ir
2. Python language essentials
Module 1:
Introduction to Python and Setting up an Environment for Programing
Part 2 :
Variables and Data Types
3. Variables, Objects and References
• There are integers, floating point numbers, strings, and
many more, but things are not the same as in C or C++.
• Python variables do not have any types associate with
them
• Don’t need declaration before use
• Variable name is a reference to an Object
4. Variables
• Something which can change
• Way of referring to a memory location used by a computer
program. Variable is a symbolic name for this physical
location
• Memory location contains values, like numbers, text or
more complicated types
5. Variables, Objects and References
Identifier
>>> name = 'reza'
>>> print name
reza
>>>
>>>name = 10
>>>name
10
Object
6. Data Type
>>> name = 10
>>> type(name)
<type 'int'>
>>> name = 'Reza'
>>> type(name)
<type 'str'>
>>> name = 10.42
>>> type(name)
<type 'float'>
>>>
7. Variables vs. Identifiers
Variables and identifiers are very often mistaken as
synonyms
●
The name of a variable is an identifier, but a variable is
"more than a name".
●
An identifier is not only used for variables. An identifier can
denote various entities like variables, types, labels,
subroutines or functions, packages and so on.
●
8. Naming Identifiers of Variables
A valid identifier is a non-empty sequence of characters of
any length with:
●
the start character can be the underscore "_" or a capital or
lower case letter
●
the letters following the start character can be anything
which is permitted as a start character plus the digits.
●
Just a warning for Windows-spoilt users: Identifiers are
case-sensitive
●
Python keywords are not allowed as identifier names
and, as, assert, break, class, continue, def, del, elif, else,
except, finally, for, from, global, if, import, in, is, lambda,
nonlocal, not, or, pass, raise, return, try, while, with, yield
9. Variables vs. Identifiers
>>> name = 'reza'
>>> id(name)
3072831328L
>>> hex(id(name))
'0xb727af60L'
>>>
An other way to do that :
>>> name.__repr__
<method-wrapper '__repr__' of str object at 0xb727af60>
>>>
0xb727af60 is exact memory location where the object stored,
name is just a reference to that object.
10. Data Types Python offers
1.
2.
3.
4.
5.
6.
7.
Numbers
Strings
List
Dictionaries
Tuples
Boolean
…
11. Numbers - Integer
Normal integers
e.g. 4321
●
Octal literals (base 8)
A number prefixed by a 0 (zero) will be interpreted as an octal number
>>> a = 010
>>> print a
8
●
Hexadecimal literals (base 16)
Hexadecimal literals have to be prefixed either by "0x" or "0X".
>>> hex_number = 0xA0F
>>> print hex_number
2575
●
Long integers
these numbers are of unlimeted size
e.g.42000000000000000000L
●
Floating-point numbers
for example: 42.11, 3.1415e-10
●
13. Strings
Strings are marked by quotes:
–
single quotes (')
'This is a string with single quotes‘
– double quotes (")
"Obama's dog is called Bo""
– triple quotes, both single (''') and (""")
'''String in triple quotes can extend
over multiple lines, like this on, and can contain
'single' and "double" quotes.'''
16. Strings
>>> name = '''
... Hello Dear Students
... Welcome to PYSEC101 Course!
... Python Scripting Course for Ethical Hackers
... '''
>>> name
'nHello Dear StudentsnWelcome to PYSEC101 Course!nPython
Scripting Course for Ethical Hackersn'
>>> print name
Hello Dear Students
Welcome to PYSEC101 Course!
Python Scripting Course for Ethical Hackers
17. String Index
●
A string in Python consists of a series or sequence of
characters - letters, numbers, and special characters.
18. Unicode
Used for internationalization
●
“Wide Characters” are they are called(code all languages)
>>>name = u'Mohammad'
>>> name
u'Mohammad'
>>>
unicode to regular string conversion
>>> str(name)
'Mohammad'
>>>
regular string to unicode conversion
>>> unicode(name)
u'Mohammad'
>>>
●
19. Concatenating Strings
Strings can be glued together (concatenated) with the +
operator
>>>s1 + s2
>>> s1 = 'Hamid'
>>> s2 = 'rezaie'
>>> s1 + s2
'Hamidrezaie'
>>> s1 + ' ' + s2
'Hamid rezaie'
>>>
●
20. Repetition
String can be repeated or repeatedly concatenated with
the asterisk operator "*“
>>> buffer = 'A' * 20
>>> buffer
'AAAAAAAAAAAAAAAAAAAA'
>>>
●
21. Int to string
>>> 'a' + 42
●
Traceback (most recent call last):
●
File "<stdin>", line 1, in <module>
●
TypeError: cannot concatenate 'str' and 'int' objects
●
>>>
●
>>> str(42)
●
'42'
●
>>>>'a' + str(42)
●
22. Slicing
Substrings can be created with the slice or slicing notation,
i.e. two indices in square brackets separated by a colon:
●
"Python"[2:4] -> "th“
●
>>>string[start:end:steps]
●
24. Stirngs are immutable objects
>>>name = 'reza'
>>>name[0]
r
name [0] = 'a'
TypeError: 'str' object does not support item
assignment
You can not change String Object directly in memory
because they are immutable
>>>name = 'reza'
name = 'Mohammad'
●
'reza' object still does exists now name is referenced to
'Mohammad' object
26. >>> name = 'mohammad reza'
>>> name.find('PYSEC101')
-1
>>> name.find('mma')
4
>>>
>>> name.split()
['mohammad', 'reza']
by default split on white spaces and return list of strings.
split on 'a'
>>> name.split('a')
['moh', 'mm', 'd rez', '']
>>>
>>> name.replace('m', 'H')
'HohaHHad reza'
>>>
27. String Formatting
>>> ip = '192.168.1.252'
>>> line = 'Crack this IP :%s' % ip
>>> line
'Crack this IP :192.168.1.252'
>>>
>>> line = 'Crack this IP : %s and name %s ' % (ip,
'Reza-PC')
>>> line
'Crack this IP : 192.168.1.252 and name Reza-PC '
28. References
SPSE securitytube training by Vivek Ramachandran
SANS Python for Pentesters (SEC573)
Violent python
Security Power Tools
python-course.eu
----------------------------http://www.tutorialspoint.com/python/python_strings.htm
http://www.tutorialspoint.com/python/python_numbers.htm
http://www.python-course.eu/variables.php
http://www.python-course.eu/sequential_data_types.php
http://www.python-course.eu/sets_frozensets.php
29. This work is licensed under the Creative Commons Attribution-NoDerivs 3.0 Unported License.
To view a copy of this license, visit
http://creativecommons.org/licenses/by-nd/3.0/
Copyright 2013 Mohammad Reza Kamalifard
All rights reserved.
Go to Kamalifard.ir/pysec101 to Download Slides and Course martials .