Python is a high-level, interpreted programming language that is designed to be easy to read and write. It has a clear syntax using English keywords and its code is often shorter than languages like C++ and Java. Python is widely used for web development, software development, science, and machine learning. It has a large standard library and can be extended through modules. Some key data structures in Python include lists, tuples, and dictionaries.
The document discusses the upcoming release of Python 3.3, which includes a number of changes and improvements compared to previous versions. Key dates are listed for alpha, beta, and final releases of Python 3.3 between March 2012 and August 2012. Several new features or changes are briefly mentioned, such as simplifying the IOError hierarchy, adding yield from to allow subgenerators, and distinguishing between byte strings and Unicode strings.
This document provides an overview and introduction to Python programming. It covers setting up Python, background on the language, basic syntax like printing, variables, operators, control structures, functions, and data structures. It encourages participation and practicing the concepts by following along. The goal is to teach the fundamentals of Python in an interactive class format.
Introduction to the Python programming language (version 3.x).
Ambient Intelligence
http://bit.ly/polito-ami
Politecnico di Torino, 2017
This document provides an overview of Unix and command line utilities. It discusses the differences between graphical (Windows/Mac) and command-line (Unix) operating systems. It then demonstrates basic Unix commands like echo, tr, cat, sort, cut, and uniq to manipulate text and files. Examples are provided to concatenate, filter, translate, sort, and count lines from files. The document encourages learning Unix utilities to accomplish tasks that may otherwise require coding programs.
Python supports multiple programming paradigms, including object-oriented, imperative and functional programming or procedural styles. It features a dynamic type system and automatic memory management and has a large and comprehensive standard library.
A slightly modified version of original "An introduction to Python
for absolute beginners" slides. For credits please check the second page. I used this presentation for my company's internal Python course.
Fizz and buzz of computer programs in python.Esehara Shigeo
This document discusses various approaches to solving the FizzBuzz problem in Python without using traditional control structures like if statements. It presents solutions using lists, the itertools module, recursion, and string indexing to represent the Fizz, Buzz, and FizzBuzz outputs as binary flags and select the appropriate output for each number solely through mathematical operations on the number without any conditional logic.
The document contains code snippets for several Python programs that demonstrate various Python features:
- The First.py program prints lines and gets user input
- The list_comp.py program shows looping vs list comprehension to create lists
- The fav_movies.py program demonstrates reading from and writing to files
- The get_particular_line.py program reads a specific line from a file
- The zip_length.py program reads files from a zip archive and prints their lengths
- The details.py program gets system details like name and IP address
- The password_gen.py program generates a random 10 character password
The document provides an introduction to Python basics, including that Python is an interpreted language with no separate compilation step. It discusses using Python in an interactive shell or by putting commands in a file. Variables are created by use and do not require declaration. Variables can be reassigned different types of values. Functions can be used to convert between types. Numbers in Python include integers, floats, and complex numbers. Arithmetic operations in Python include addition, subtraction, multiplication, and division.
Python 101: Python for Absolute Beginners (PyTexas 2014)Paige Bailey
If you're absolutely new to Python, and to programming in general, this is the place to start!
Here's the breakdown: by the end of this workshop, you'll have Python downloaded onto your personal machine; have a general idea of what Python can help you do; be pointed in the direction of some excellent practice materials; and have a basic understanding of the syntax of the language.
Please don't forget to bring your laptop!
Audience: "Python 101" is geared toward individuals who are new to programming. If you've had some programming experience (shell scripting, MATLAB, Ruby, etc.), then you'll probably want to check out the more intermediate workshop, "Python 101++".
This document discusses Python control flow and various looping and conditional structures in Python like while loops, if/elif/else statements, and nested blocks. It provides examples of how while loops can execute zero times if the condition is never true, or forever if the condition is never made false. It also discusses why Python uses indentation rather than braces to define blocks and recommends using 4 spaces of indentation.
The document discusses tuples in Python. It explains that tuples are immutable sequences, like lists but that cannot be changed after creation. It provides examples of creating tuples using parentheses or without parentheses if context is clear. Tuples allow functions to return multiple values, provide a way to swap variable values, and are often used in loops like with the enumerate function.
The document discusses Python libraries and modules. It explains that libraries allow for organizing related functions hierarchically and avoiding duplication. Modules create namespaces and allow code reuse through importing. The key Python standard libraries are described, including math for mathematical functions and sys for system functions like getting command line arguments and the Python path. Import statements and conventions are covered for accessing library functionality.
The document discusses using Elasticsearch's percolator to store queries in an index and then retrieve matching queries by indexing documents. It provides an example of storing queries for terms like "bad protocol" and then percolating a log message to return matching queries. The document also describes techniques for optimizing percolation performance like rewriting queries and messages into a shared sparse vector space for faster matching.
Basic Python Programming: Part 01 and Part 02Fariz Darari
This document discusses basic Python programming concepts including strings, functions, conditionals, loops, imports and recursion. It begins with examples of printing strings, taking user input, and calculating areas of shapes. It then covers variables and data types, operators, conditional statements, loops, functions, imports, strings, and recursion. Examples are provided throughout to demonstrate each concept.
Most commonly used commands and functions that are used for reading and writing text files in Python 3.x. Therefore, these commands are used for manipulating file objects.
This document introduces Phorms, a library for pattern matching in Pharo. Pattern matching was originally introduced in functional programming to define functions inductively and is now used in languages like Newspeak and Scala to decompose object data. The existing rewrite engine in Pharo uses abstract syntax trees for pattern matching but has limitations like being confusing, non-composable patterns, and lacking user-friendly debugging. Phorms addresses these by representing patterns as objects, allowing composition and conversion of patterns. It provides examples of matching and rewriting code using Phorms patterns.
Phorms: Pattern Matching Library for PharoMarkRizun
This document introduces Phorms, a library for Pharo that allows pattern matching on objects. Pattern matching was originally introduced in functional programming to define functions inductively, and has been integrated into languages like Newspeak and Scala where it is mainly used to decompose object data. The current rewrite engine in Pharo uses AST matching which can be confusing and patterns are not composable. Phorms addresses these limitations by making patterns first-class objects that can be composed and converted. Patterns in Phorms can match objects and also transform them by rewriting. This provides a more user-friendly way to debug and inspect patterns compared to the rewrite engine. Phorms allows rewriting of any object and is easily extensible
This document provides an overview of the basics of the Python programming language. It covers key Python concepts like types, expressions and variables, strings, input/output, lists and tuples, dictionaries, sets, conditions and branching, loops, functions, and objects and classes. The document defines each concept, provides examples, and explains how to use various Python features and functions related to each topic.
This document provides an introduction to scripting in Linux shells. It covers basics like:
1) Writing a simple "Hello World" script.
2) Redirecting input/output streams between programs and files.
3) Using pipes to connect the output of one program to the input of another.
4) Working with variables, conditions, loops and functions in shell scripts.
5) An assignment example of writing a script to automatically create 1000 user accounts.
A versão 3 do Python teve seu lançamento final 2008, mas ainda há muitas dúvidas se já está na hora de escrever aplicações usando python 3. Eu irei mostrar sobre as diferenças entre o python 2 e o 3, as novidades e como portar seu código para o python 3.
Introduction to Python3 Programming LanguageTushar Mittal
This document provides an introduction to the Python programming language. It discusses what Python is, why it was created, how to install it, and some basic syntax concepts like data types, loops, conditional statements, lists, dictionaries, tuples, and functions. Python is described as an easy to learn, versatile, and flexible general purpose programming language used for a wide range of applications including machine learning, web development, game development, and automation. The document also provides examples of code for basic concepts like printing text, performing calculations, and defining functions.
After developing Grails applications full-time for over a year, I've learned some useful tips, tricks, and common patterns. In this presentation, I'll share with you real world examples of how I've used
Grails "In the Wild".
It includes details of how to do useful things with the basic tools of Grails, some advanced tricks and patterns, and helpful general rules of thumb to use during Grails development.
This document provides information about various file commands in Linux. It discusses commands to display file contents like cat and more, copy files with cp, remove files and directories with rm, use wildcards to match filenames, edit commands, move and rename files with mv, and view the system date and time with date. The document contains detailed syntax and examples for these common file manipulation tasks in Linux.
The document discusses various techniques for optimizing web site performance, including reducing file sizes, decreasing HTTP requests, using content delivery networks, optimizing assets, leveraging caching, and minimizing JavaScript and CSS. It provides examples and recommendations for compressing and combining files, placing scripts and stylesheets strategically, and using tools like Firebug and YSlow to analyze performance. The overall goal is to make web pages load as fast as possible by decreasing download sizes and network traffic.
Fizz and buzz of computer programs in python.Esehara Shigeo
This document discusses various approaches to solving the FizzBuzz problem in Python without using traditional control structures like if statements. It presents solutions using lists, the itertools module, recursion, and string indexing to represent the Fizz, Buzz, and FizzBuzz outputs as binary flags and select the appropriate output for each number solely through mathematical operations on the number without any conditional logic.
The document contains code snippets for several Python programs that demonstrate various Python features:
- The First.py program prints lines and gets user input
- The list_comp.py program shows looping vs list comprehension to create lists
- The fav_movies.py program demonstrates reading from and writing to files
- The get_particular_line.py program reads a specific line from a file
- The zip_length.py program reads files from a zip archive and prints their lengths
- The details.py program gets system details like name and IP address
- The password_gen.py program generates a random 10 character password
The document provides an introduction to Python basics, including that Python is an interpreted language with no separate compilation step. It discusses using Python in an interactive shell or by putting commands in a file. Variables are created by use and do not require declaration. Variables can be reassigned different types of values. Functions can be used to convert between types. Numbers in Python include integers, floats, and complex numbers. Arithmetic operations in Python include addition, subtraction, multiplication, and division.
Python 101: Python for Absolute Beginners (PyTexas 2014)Paige Bailey
If you're absolutely new to Python, and to programming in general, this is the place to start!
Here's the breakdown: by the end of this workshop, you'll have Python downloaded onto your personal machine; have a general idea of what Python can help you do; be pointed in the direction of some excellent practice materials; and have a basic understanding of the syntax of the language.
Please don't forget to bring your laptop!
Audience: "Python 101" is geared toward individuals who are new to programming. If you've had some programming experience (shell scripting, MATLAB, Ruby, etc.), then you'll probably want to check out the more intermediate workshop, "Python 101++".
This document discusses Python control flow and various looping and conditional structures in Python like while loops, if/elif/else statements, and nested blocks. It provides examples of how while loops can execute zero times if the condition is never true, or forever if the condition is never made false. It also discusses why Python uses indentation rather than braces to define blocks and recommends using 4 spaces of indentation.
The document discusses tuples in Python. It explains that tuples are immutable sequences, like lists but that cannot be changed after creation. It provides examples of creating tuples using parentheses or without parentheses if context is clear. Tuples allow functions to return multiple values, provide a way to swap variable values, and are often used in loops like with the enumerate function.
The document discusses Python libraries and modules. It explains that libraries allow for organizing related functions hierarchically and avoiding duplication. Modules create namespaces and allow code reuse through importing. The key Python standard libraries are described, including math for mathematical functions and sys for system functions like getting command line arguments and the Python path. Import statements and conventions are covered for accessing library functionality.
The document discusses using Elasticsearch's percolator to store queries in an index and then retrieve matching queries by indexing documents. It provides an example of storing queries for terms like "bad protocol" and then percolating a log message to return matching queries. The document also describes techniques for optimizing percolation performance like rewriting queries and messages into a shared sparse vector space for faster matching.
Basic Python Programming: Part 01 and Part 02Fariz Darari
This document discusses basic Python programming concepts including strings, functions, conditionals, loops, imports and recursion. It begins with examples of printing strings, taking user input, and calculating areas of shapes. It then covers variables and data types, operators, conditional statements, loops, functions, imports, strings, and recursion. Examples are provided throughout to demonstrate each concept.
Most commonly used commands and functions that are used for reading and writing text files in Python 3.x. Therefore, these commands are used for manipulating file objects.
This document introduces Phorms, a library for pattern matching in Pharo. Pattern matching was originally introduced in functional programming to define functions inductively and is now used in languages like Newspeak and Scala to decompose object data. The existing rewrite engine in Pharo uses abstract syntax trees for pattern matching but has limitations like being confusing, non-composable patterns, and lacking user-friendly debugging. Phorms addresses these by representing patterns as objects, allowing composition and conversion of patterns. It provides examples of matching and rewriting code using Phorms patterns.
Phorms: Pattern Matching Library for PharoMarkRizun
This document introduces Phorms, a library for Pharo that allows pattern matching on objects. Pattern matching was originally introduced in functional programming to define functions inductively, and has been integrated into languages like Newspeak and Scala where it is mainly used to decompose object data. The current rewrite engine in Pharo uses AST matching which can be confusing and patterns are not composable. Phorms addresses these limitations by making patterns first-class objects that can be composed and converted. Patterns in Phorms can match objects and also transform them by rewriting. This provides a more user-friendly way to debug and inspect patterns compared to the rewrite engine. Phorms allows rewriting of any object and is easily extensible
This document provides an overview of the basics of the Python programming language. It covers key Python concepts like types, expressions and variables, strings, input/output, lists and tuples, dictionaries, sets, conditions and branching, loops, functions, and objects and classes. The document defines each concept, provides examples, and explains how to use various Python features and functions related to each topic.
This document provides an introduction to scripting in Linux shells. It covers basics like:
1) Writing a simple "Hello World" script.
2) Redirecting input/output streams between programs and files.
3) Using pipes to connect the output of one program to the input of another.
4) Working with variables, conditions, loops and functions in shell scripts.
5) An assignment example of writing a script to automatically create 1000 user accounts.
A versão 3 do Python teve seu lançamento final 2008, mas ainda há muitas dúvidas se já está na hora de escrever aplicações usando python 3. Eu irei mostrar sobre as diferenças entre o python 2 e o 3, as novidades e como portar seu código para o python 3.
Introduction to Python3 Programming LanguageTushar Mittal
This document provides an introduction to the Python programming language. It discusses what Python is, why it was created, how to install it, and some basic syntax concepts like data types, loops, conditional statements, lists, dictionaries, tuples, and functions. Python is described as an easy to learn, versatile, and flexible general purpose programming language used for a wide range of applications including machine learning, web development, game development, and automation. The document also provides examples of code for basic concepts like printing text, performing calculations, and defining functions.
After developing Grails applications full-time for over a year, I've learned some useful tips, tricks, and common patterns. In this presentation, I'll share with you real world examples of how I've used
Grails "In the Wild".
It includes details of how to do useful things with the basic tools of Grails, some advanced tricks and patterns, and helpful general rules of thumb to use during Grails development.
This document provides information about various file commands in Linux. It discusses commands to display file contents like cat and more, copy files with cp, remove files and directories with rm, use wildcards to match filenames, edit commands, move and rename files with mv, and view the system date and time with date. The document contains detailed syntax and examples for these common file manipulation tasks in Linux.
The document discusses various techniques for optimizing web site performance, including reducing file sizes, decreasing HTTP requests, using content delivery networks, optimizing assets, leveraging caching, and minimizing JavaScript and CSS. It provides examples and recommendations for compressing and combining files, placing scripts and stylesheets strategically, and using tools like Firebug and YSlow to analyze performance. The overall goal is to make web pages load as fast as possible by decreasing download sizes and network traffic.
The Django Book Chapter 9 - Django Workshop - Taipei.pyTzu-ping Chung
This document provides an overview of template concepts in Django, including template tags, variables, contexts, loading templates, custom processors, and HTML escaping. It demonstrates how to render templates using different approaches like render_to_response and RequestContext, and configure template directories and loaders. Code samples are provided for common template tasks in Django.
This document is a presentation on learning Vim. It recommends learning Vim progressively by first mastering the basics like normal mode, movement commands, and help. It discusses Vim terminology like buffers, windows, and tabs. It also provides an overview of modes like insert mode and visual mode. The presentation provides tips on using plugins, customizing Vim configuration files, and resources for learning more about Vim.
O documento fornece estatísticas sobre o PyBr8, conferência sobre Python no Brasil. O evento teve 2 dias de tutoriais e palestras, com 6 keynotes, 48 palestras e 11 tutoriais. Contou com 345 inscritos, cerca de 45 palestrantes e 47 voluntários. Recebeu doações de 12 patrocinadores e 11 apoiadores e arrecadou cerca de R$34.000 em inscrições e R$80.240 em patrocínios.
The document discusses how the author gets work done on Windows and in their job at a hardware company. It also covers how they use source control as a one person team, their preference for BitBucket, why they chose Python for projects, and ongoing work to improve testing, deployment, and code quality. The author indicates they enjoy their current job.
This presentation covers how to perform the CRUD operation of database using Django Query-set API. The topics covered includes Creating new objects, Saving changes to existing objects, Retrieving objects from DB, Deleting objects & Complex lookups with Q objects.
These slides were presented at the April 2012 Django District meetup. More information & be found here: http://bit.ly/JRgpkf.
This document discusses authentication and authorization in ASP.NET MVC 4. It begins by explaining why security is important and describes different authentication and authorization techniques. It then explains what providers and membership providers are in ASP.NET and some problems with the default ASP.NET membership provider. The document introduces SimpleMembership as a better alternative and shows how to implement a SimpleMembership provider in an MVC 4 application.
The HTML5 history API is a standardized way to manipulate the browser history via script.The new parts in HTML5 include a way to add entries to the browser history, to visibly change the URL in the browser location bar (without triggering a page refresh), and an event that fires when those entries are removed from the stack by the user pressing the browser’s back button. This session would help learn more about HTML5 History API.
This document discusses options for using Django with MongoDB, including object-document mappers like MongoEngine and Mongokit. It notes that some Django contrib apps may be broken but the admin will work. Benefits highlighted include reduced impedance mismatch, support for new fields like aggregations, gridfs, caching, map reduce, and indexes. Suggestions include using raw queries, embedding documents when possible, rethinking models, only using MongoDB for certain apps/models, serving static files via GridFS, and leveraging aggregations and map/reduce. It warns against migrating data and notes dates work but month/day queries do not.
Open-source projects often struggle with finding contributors and getting off of the ground. Communities, such as Github and PyPi, are host to redundant projects and libraries. In the development space, how do you distinguish your project from others, get people excited to contribute to it, and ultimately create a successful open source project? The answer is to apply user-centered design techniques to the development of your project. User-centered design is usually applied to web applications and products on the front-end of a website, but these techniques can be applied to open source libraries.
In this talk, Jackie will illustrate some user-centered techniques that have been used on her own project — Mesa (https://github.com/projectmesa/mesa), along with other successful open source projects. This talk will include a survey of interviews with a focus on successful techniques, along with additional user-centered design techniques that could be leveraged to inspire increased community engagement into your project.
The document discusses two approaches to the design phase of web development - the classic approach using wireframes and the RAP (Rapid Application Prototyping) approach using interactive prototypes. It notes some limitations of wireframes, including that they do not convey flow well and must be created at multiple screen sizes. The document then presents a case study of an educational web app called MR. EDU that used the RAP approach with Django and achieved rapid iteration and user involvement.
The document discusses several key points about Python:
1. It summarizes praise for Python from programmers and companies like Google, NASA, and CCP Games, highlighting Python's simplicity, compactness, and ability to quickly develop applications.
2. It introduces common Python concepts like strings, lists, sequences, namespaces, polymorphism, and duck typing. Strings can be manipulated using slicing and methods. Lists and other sequences support indexing, slicing, and iteration.
3. Python uses name-based rather than type-based polymorphism through duck typing - an object's capabilities are defined by its methods and properties rather than its class.
Python is a programming language that allows users to write instructions for the computer to follow. There are multiple ways to run Python code, including through the terminal window by typing "python" or the name of a Python file, or using iPython notebooks which allow code to be run and formatted notes to be taken in a browser. Python code uses variables to store values of different data types like strings, integers, booleans, lists, and dictionaries. Users can write functions to reuse blocks of code and take input from the user or external files using libraries and conditionals.
The document discusses the reasons for Python's transition to Python 3 from Python 2. It argues that Python 3 is more consistent, separates concerns better, and reduces redundancy compared to Python 2. It also notes that Python 3 is now production-ready, and provides tools like 2to3 to help with the migration, though some refactoring may still be needed. Overall it makes the case that now is the time for the Python community to transition to Python 3.
This document provides an overview and introduction to the Python programming language. It begins with examples of basic Python syntax like "Hello World" programs in Python, C#, and Java. It then demonstrates how to write functions to reverse an array, implement quicksort, and discusses key differences between Python and other languages like its dynamic typing and lack of declared argument and return types. The document also covers Python basics like numbers, strings, conditionals, loops, functions, and lists.
This document discusses basic data types in Python, including numeric, sequence, boolean, and dictionary types. It provides examples and explanations of integer, float, complex, string, list, tuple, set, and dictionary data types. Numeric types represent numeric values, sequence types organize ordered sequences, boolean represents True or False, and dictionary stores key-value pairs. Python assigns data types dynamically based on values and allows flexible conversion between types.
This document provides instructions for installing Python and an overview of key Python concepts. It begins with an outline of topics to be covered, including Python datatypes, flow control, functions, files, exceptions, and projects. Detailed step-by-step instructions are given for installing Python on Windows. Short summaries are then provided of Python's history and name, the Python prompt and IDE, comments, identifiers, operators, keywords, None, as, and datatypes. Examples and explanations are provided of Python's core datatypes including numbers, strings, lists, tuples, sets, and dictionaries.
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 the Python programming language. It discusses installing Python and interacting with it through command line and IDLE modes. It covers basic Python data types like numbers, strings, lists, and booleans. It demonstrates how to perform operations and call functions on these data types. It also discusses Python modules, getting input from users, and assigning values to variables.
This document provides an introduction to the Python programming language. It discusses installing Python and interacting with it through command line and IDLE modes. It covers basic Python data types like numbers, strings, lists, and booleans. It demonstrates how to perform operations and call functions on these data types. It also discusses Python modules, getting input from users, and commonly used string and list methods.
This document provides an introduction to the Python language and discusses Python data types. It covers how to install Python, interact with the Python interpreter through command line and IDLE modes, and learn basic Python parts like data types, operators, functions, and control structures. The document discusses numeric, string, and other data types in Python and how to manipulate them using built-in functions and operators. It also introduces Python library modules and the arcpy package for geoprocessing in ArcGIS.
This document provides an introduction to the Python programming language. It discusses installing Python and interacting with it through command line and IDLE modes. It covers basic Python data types like numbers, strings, lists, and booleans. It demonstrates how to perform operations and call functions on these data types. It also discusses Python modules, getting input from users, and commonly used string and list methods.
This document provides an introduction to the Python language and discusses Python data types. It covers how to install Python, interact with the Python interpreter through command line and IDLE modes, and learn basic Python parts like data types, operators, functions, and control structures. The document discusses numeric, string, and other data types in Python and how to manipulate them using built-in functions and operators. It also introduces Python library modules and the arcpy package for geoprocessing in ArcGIS.
This document provides an introduction to the Python programming language. It discusses installing Python and interacting with it through command line and IDLE modes. It covers basic Python data types like numbers, strings, lists, and booleans. It demonstrates how to perform operations and call functions on these data types. It also discusses Python modules, getting input from users, and assigning values to variables.
This document provides an introduction to the Python programming language. It discusses installing Python and interacting with it through command line and IDLE modes. It covers basic Python data types like numbers, strings, lists, and booleans. It demonstrates how to perform operations and call functions on these data types. It also discusses Python modules, getting input from users, and assigning values to variables.
The document provides an introduction to Python programming concepts including functions, variables, data types, conditionals, loops, and data structures. It demonstrates a simple "Hello, World!" function and how to define, call, and assign the return value of functions. It also shows how to check variable types, use if/else conditional logic, iterate with for loops, and define a dictionary with nested data. The document uses examples and commentary to explain Python syntax and programming concepts in a beginner-friendly manner.
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.
The document provides an overview of the Python programming language. It discusses Python's history, how to install and run Python, basic data types like integers, floats, strings, lists, and tuples. It explains that lists are mutable while tuples are immutable. The document also covers topics like functions, modules, control flow, and the Python interpreter.
Enhancing ICU Intelligence: How Our Functional Testing Enabled a Healthcare I...Impelsys Inc.
Impelsys provided a robust testing solution, leveraging a risk-based and requirement-mapped approach to validate ICU Connect and CritiXpert. A well-defined test suite was developed to assess data communication, clinical data collection, transformation, and visualization across integrated devices.
Quantum Computing Quick Research Guide by Arthur MorganArthur Morgan
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
AI EngineHost Review: Revolutionary USA Datacenter-Based Hosting with NVIDIA ...SOFTTECHHUB
I started my online journey with several hosting services before stumbling upon Ai EngineHost. At first, the idea of paying one fee and getting lifetime access seemed too good to pass up. The platform is built on reliable US-based servers, ensuring your projects run at high speeds and remain safe. Let me take you step by step through its benefits and features as I explain why this hosting solution is a perfect fit for digital entrepreneurs.
Procurement Insights Cost To Value Guide.pptxJon Hansen
Procurement Insights integrated Historic Procurement Industry Archives, serves as a powerful complement — not a competitor — to other procurement industry firms. It fills critical gaps in depth, agility, and contextual insight that most traditional analyst and association models overlook.
Learn more about this value- driven proprietary service offering here.
Semantic Cultivators : The Critical Future Role to Enable AIartmondano
By 2026, AI agents will consume 10x more enterprise data than humans, but with none of the contextual understanding that prevents catastrophic misinterpretations.
Dev Dives: Automate and orchestrate your processes with UiPath MaestroUiPathCommunity
This session is designed to equip developers with the skills needed to build mission-critical, end-to-end processes that seamlessly orchestrate agents, people, and robots.
📕 Here's what you can expect:
- Modeling: Build end-to-end processes using BPMN.
- Implementing: Integrate agentic tasks, RPA, APIs, and advanced decisioning into processes.
- Operating: Control process instances with rewind, replay, pause, and stop functions.
- Monitoring: Use dashboards and embedded analytics for real-time insights into process instances.
This webinar is a must-attend for developers looking to enhance their agentic automation skills and orchestrate robust, mission-critical processes.
👨🏫 Speaker:
Andrei Vintila, Principal Product Manager @UiPath
This session streamed live on April 29, 2025, 16:00 CET.
Check out all our upcoming Dev Dives sessions at https://community.uipath.com/dev-dives-automation-developer-2025/.
The Evolution of Meme Coins A New Era for Digital Currency ppt.pdfAbi john
Analyze the growth of meme coins from mere online jokes to potential assets in the digital economy. Explore the community, culture, and utility as they elevate themselves to a new era in cryptocurrency.
DevOpsDays Atlanta 2025 - Building 10x Development Organizations.pptxJustin Reock
Building 10x Organizations with Modern Productivity Metrics
10x developers may be a myth, but 10x organizations are very real, as proven by the influential study performed in the 1980s, ‘The Coding War Games.’
Right now, here in early 2025, we seem to be experiencing YAPP (Yet Another Productivity Philosophy), and that philosophy is converging on developer experience. It seems that with every new method we invent for the delivery of products, whether physical or virtual, we reinvent productivity philosophies to go alongside them.
But which of these approaches actually work? DORA? SPACE? DevEx? What should we invest in and create urgency behind today, so that we don’t find ourselves having the same discussion again in a decade?
Massive Power Outage Hits Spain, Portugal, and France: Causes, Impact, and On...Aqusag Technologies
In late April 2025, a significant portion of Europe, particularly Spain, Portugal, and parts of southern France, experienced widespread, rolling power outages that continue to affect millions of residents, businesses, and infrastructure systems.
Special Meetup Edition - TDX Bengaluru Meetup #52.pptxshyamraj55
We’re bringing the TDX energy to our community with 2 power-packed sessions:
🛠️ Workshop: MuleSoft for Agentforce
Explore the new version of our hands-on workshop featuring the latest Topic Center and API Catalog updates.
📄 Talk: Power Up Document Processing
Dive into smart automation with MuleSoft IDP, NLP, and Einstein AI for intelligent document workflows.
AI Changes Everything – Talk at Cardiff Metropolitan University, 29th April 2...Alan Dix
Talk at the final event of Data Fusion Dynamics: A Collaborative UK-Saudi Initiative in Cybersecurity and Artificial Intelligence funded by the British Council UK-Saudi Challenge Fund 2024, Cardiff Metropolitan University, 29th April 2025
https://alandix.com/academic/talks/CMet2025-AI-Changes-Everything/
Is AI just another technology, or does it fundamentally change the way we live and think?
Every technology has a direct impact with micro-ethical consequences, some good, some bad. However more profound are the ways in which some technologies reshape the very fabric of society with macro-ethical impacts. The invention of the stirrup revolutionised mounted combat, but as a side effect gave rise to the feudal system, which still shapes politics today. The internal combustion engine offers personal freedom and creates pollution, but has also transformed the nature of urban planning and international trade. When we look at AI the micro-ethical issues, such as bias, are most obvious, but the macro-ethical challenges may be greater.
At a micro-ethical level AI has the potential to deepen social, ethnic and gender bias, issues I have warned about since the early 1990s! It is also being used increasingly on the battlefield. However, it also offers amazing opportunities in health and educations, as the recent Nobel prizes for the developers of AlphaFold illustrate. More radically, the need to encode ethics acts as a mirror to surface essential ethical problems and conflicts.
At the macro-ethical level, by the early 2000s digital technology had already begun to undermine sovereignty (e.g. gambling), market economics (through network effects and emergent monopolies), and the very meaning of money. Modern AI is the child of big data, big computation and ultimately big business, intensifying the inherent tendency of digital technology to concentrate power. AI is already unravelling the fundamentals of the social, political and economic world around us, but this is a world that needs radical reimagining to overcome the global environmental and human challenges that confront us. Our challenge is whether to let the threads fall as they may, or to use them to weave a better future.
How Can I use the AI Hype in my Business Context?Daniel Lehner
𝙄𝙨 𝘼𝙄 𝙟𝙪𝙨𝙩 𝙝𝙮𝙥𝙚? 𝙊𝙧 𝙞𝙨 𝙞𝙩 𝙩𝙝𝙚 𝙜𝙖𝙢𝙚 𝙘𝙝𝙖𝙣𝙜𝙚𝙧 𝙮𝙤𝙪𝙧 𝙗𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝙣𝙚𝙚𝙙𝙨?
Everyone’s talking about AI but is anyone really using it to create real value?
Most companies want to leverage AI. Few know 𝗵𝗼𝘄.
✅ What exactly should you ask to find real AI opportunities?
✅ Which AI techniques actually fit your business?
✅ Is your data even ready for AI?
If you’re not sure, you’re not alone. This is a condensed version of the slides I presented at a Linkedin webinar for Tecnovy on 28.04.2025.
Complete Guide to Advanced Logistics Management Software in Riyadh.pdfSoftware Company
Explore the benefits and features of advanced logistics management software for businesses in Riyadh. This guide delves into the latest technologies, from real-time tracking and route optimization to warehouse management and inventory control, helping businesses streamline their logistics operations and reduce costs. Learn how implementing the right software solution can enhance efficiency, improve customer satisfaction, and provide a competitive edge in the growing logistics sector of Riyadh.
AI and Data Privacy in 2025: Global TrendsInData Labs
In this infographic, we explore how businesses can implement effective governance frameworks to address AI data privacy. Understanding it is crucial for developing effective strategies that ensure compliance, safeguard customer trust, and leverage AI responsibly. Equip yourself with insights that can drive informed decision-making and position your organization for success in the future of data privacy.
This infographic contains:
-AI and data privacy: Key findings
-Statistics on AI data privacy in the today’s world
-Tips on how to overcome data privacy challenges
-Benefits of AI data security investments.
Keep up-to-date on how AI is reshaping privacy standards and what this entails for both individuals and organizations.
2. six
• Utilities for wrapping between Python 2 and 3
• Multiplication is more powerful
• “Five” has already been snatched away by the
Zope Five project
http://pythonhosted.org/six/
10. Python 3
>>> text = u'Lorem ipsum' ! # Python 3.3+!
!
>>> isinstance(text, unicode)!
Traceback (most recent call last):!
File "<stdin>", line 2, in <module>!
NameError: name 'unicode' is not defined
11. Python 3
>>> text = 'Lorem ipsum'!
>>> isinstance(text, basestring)!
Traceback (most recent call last):!
File "<stdin>", line 2, in <module>!
NameError: name 'basestring' is not defined
12. six
>>> import six!
>>> text = 'Lorem ipsum'!
>>> isinstance(text, six.string_types)!
True!
>>> text = u'Lorem ipsum' # Python 3.3+!
>>> isinstance(text, six.string_types)!
True
13. six
Python 2
Python 3
class_types
type, types.ClassType
type
integer_types
long, int
int
string_types
basestring
str
text_type
unicode
str
binary_type
str, bytes (2.7)
bytes
MAXSIZE
sys.maxsize (2.6+)
sys.maxsize