Python легко и просто. Красиво решаем повседневные задачиMaxim Kulsha
The document discusses various techniques for iteration in Python. It covers iterating over lists, dictionaries, files and more. It provides examples of iterating properly to avoid errors like modifying a list during iteration. Context managers are also discussed as a clean way to handle resources like file objects. Overall the document shares best practices for writing efficient and robust iteration code in Python.
Introduction to the Python programming language (version 2.x)
Ambient intelligence: technology and design
http://bit.ly/polito-ami
Politecnico di Torino, 2015
This document provides an introduction to Python programming using PyCharm. It discusses downloading and installing Python and PyCharm, creating and running simple Python scripts that use print statements and variables, taking user input, and introducing conditional logic using if/else statements and while loops. Examples include printing ASCII art, basic math operations, and building a text-based choose your own adventure game. Further exercises are suggested to improve the game by adding dice rolls and more options.
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.
This document provides an introduction to Python programming concepts such as variables, data types, strings, lists, dictionaries, conditionals, loops, functions and modules. It covers Python basics like formatting, naming conventions and comments. Key concepts are explained through examples, such as how to define and modify variables and different data structures, perform string operations, take user input, and define reusable functions. The document is intended to teach Python fundamentals to new programmers.
Python легко и просто. Красиво решаем повседневные задачиMaxim Kulsha
The document discusses various techniques for iteration in Python. It covers iterating over lists, dictionaries, files and more. It provides examples of iterating properly to avoid errors like modifying a list during iteration. Context managers are also discussed as a clean way to handle resources like file objects. Overall the document shares best practices for writing efficient and robust iteration code in Python.
Introduction to the Python programming language (version 2.x)
Ambient intelligence: technology and design
http://bit.ly/polito-ami
Politecnico di Torino, 2015
This document provides an introduction to Python programming using PyCharm. It discusses downloading and installing Python and PyCharm, creating and running simple Python scripts that use print statements and variables, taking user input, and introducing conditional logic using if/else statements and while loops. Examples include printing ASCII art, basic math operations, and building a text-based choose your own adventure game. Further exercises are suggested to improve the game by adding dice rolls and more options.
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.
This document provides an introduction to Python programming concepts such as variables, data types, strings, lists, dictionaries, conditionals, loops, functions and modules. It covers Python basics like formatting, naming conventions and comments. Key concepts are explained through examples, such as how to define and modify variables and different data structures, perform string operations, take user input, and define reusable functions. The document is intended to teach Python fundamentals to new programmers.
The basics of Python are rather straightforward. In a few minutes you can learn most of the syntax. There are some gotchas along the way that might appear tricky. This talk is meant to bring programmers up to speed with Python. They should be able to read and write Python.
Python Workshop - Learn Python the Hard WayUtkarsh Sengar
This document provides an introduction to learning Python. It discusses prerequisites for Python, basic Python concepts like variables, data types, operators, conditionals and loops. It also covers functions, files, classes and exceptions handling in Python. The document demonstrates these concepts through examples and exercises learners to practice char frequency counting and Caesar cipher encoding/decoding in Python. It encourages learners to practice more to master the language and provides additional learning resources.
This document provides an overview of NumPy, the core library for scientific computing in Python. It discusses NumPy arrays, which provide a grid of values that are all of the same type and indexed by tuples of integers. NumPy arrays can be initialized from nested lists and accessed using square brackets. NumPy also provides functions to create arrays filled with zeros, ones, random values, or a constant. The document covers slicing NumPy arrays to extract subarrays, and integer array indexing to construct arbitrary arrays from another array's data. It demonstrates how slicing returns views into the original data, while integer indexing allows selecting elements in any order.
The document provides an introduction to programming in Python. It discusses how Python can be used for web development, desktop applications, data science, machine learning, and more. It also covers executing Python programs, reading keyboard input, decision making and loops in Python, standard data types like numbers, strings, lists, tuples and dictionaries. Additionally, it describes functions, opening and reading/writing files, regular expressions, and provides examples of SQLite database connections in Python projects.
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.
The document provides an overview of the Python programming language. It discusses Python's history and versions, development environments, frameworks, uses, and basic features. The summary covers:
Python is an interpreted, object-oriented programming language created in 1989. It has undergone several major versions and is widely used for web development, science, and more. Python code can be written and run in various integrated development environments. It supports objects, modules, exceptions, and other features for structured programming.
Python 101++: Let's Get Down to Business!Paige Bailey
You've started the Codecademy and Coursera courses; you've thumbed through Zed Shaw's "Learn Python the Hard Way"; and now you're itching to see what Python can help you do. This is the workshop for you!
Here's the breakdown: we're going to be taking you on a whirlwind tour of Python's capabilities. By the end of the workshop, you should be able to easily follow any of the widely available Python courses on the internet, and have a grasp on some of the more complex aspects of the language.
Please don't forget to bring your personal laptop!
Audience: This course is aimed at those who already have some basic programming experience, either in Python or in another high level programming language (such as C/C++, Fortran, Java, Ruby, Perl, or Visual Basic). If you're an absolute beginner -- new to Python, and new to programming in general -- make sure to check out the "Python 101" workshop!
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.
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.
This document provides an introduction to the Python programming language. It discusses what Python is, its history and creator, why it is popular, who uses it, and how to get started with the syntax. Key topics covered include Python's readability, dynamic typing, standard library, and use across many industries. The document also includes code examples demonstrating basic Python concepts like variables, strings, control flow, functions, and file input/output.
Python is a versatile, object-oriented programming language that can be used for web development, data analysis, and more. It has a simple syntax and is easy to read and learn. Key features include being interpreted, dynamically typed, supporting functional and object-oriented programming. Common data types include numbers, strings, lists, dictionaries, tuples, and files. Functions and classes can be defined to organize and reuse code. Regular expressions provide powerful string manipulation. Python has a large standard library and is used widely in areas like GUIs, web scripting, AI, and scientific computing.
This document provides an overview of the Python programming language. It discusses what Python is, its key features like being multi-purpose, readable, and productive. It then demonstrates Hello World programs in Python, C++, Java, and PHP. The rest of the document covers Python concepts like operators, variables, strings, lists, conditions, loops, functions, object oriented programming, and design patterns like strategy, closure, generator, and decorator patterns.
This document provides an introduction and overview of various Python programming concepts including print statements, math operations, variables, selection using if/else statements, and iteration using while and for loops. Examples are given for basic "Hello World" programs, math calculations, variables, checking if a number is odd or even, and finding the largest of three numbers. Loops are demonstrated for printing ranges of numbers, calculating sums and factorials. The document also discusses data types and operations in Python.
Vibrant Technologies is headquarted in Mumbai,India.We are the best Python training provider in Navi Mumbai who provides Live Projects to students.We provide Corporate Training also.We are Best Python classes in Mumbai according to our students and corporators
This document discusses using Python for scientific computing. It begins by listing popular programming languages for scientific purposes, including Fortran, MATLAB, Scilab, GNU Octave, Mathematica, and Python. While MATLAB is currently the most popular, it is proprietary software. Python is introduced as a free and open source alternative with many scientific libraries like NumPy, SciPy, scikit-learn, and Matplotlib. These libraries allow Python to perform similarly to MATLAB. Instructions are provided for installing the necessary Python packages on Linux, Unix, and Windows systems. Examples demonstrate basic Python syntax and how to perform tasks like importing data, visualization, and machine learning classification.
This document provides an overview of common compound data types in Python, including strings, tuples, lists, and dictionaries. It describes how to define, access elements, traverse, slice, mutate, and clone each type. Strings and tuples are immutable sequence types that can be indexed but not changed. Lists are mutable sequences that support element assignment. Dictionaries store key-value pairs and allow lookup by key. Slicing can be used to copy sequences to avoid aliasing references to the same data.
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.
Code Like Pythonista
Beautifully made PPT.
Ref. http://python.net/~goodger/projects/pycon/2007/idiomatic/handout.html
Image ref : https://pixabay.com/ko/ and https://morguefile.com/
licensed under a Creative Commons Attribution/Share-Alike (BY-SA) license.
Getting started in Python presentation by Laban KGDSCKYAMBOGO
Python Overview and getting started in Python Language. It includes on how to install, run it and carrying out some simple python codes in different environments(IDLEs)
This document provides an introduction to Python basics including data types, operations, variables, user input/output, strings, numbers, and type conversion. It discusses integers, floats, booleans, arithmetic operators, comparison operators, and functions like int(), float(), str(), type(), print(), and raw_input(). The document contains examples of code snippets and exercises for readers to practice Python concepts.
The basics of Python are rather straightforward. In a few minutes you can learn most of the syntax. There are some gotchas along the way that might appear tricky. This talk is meant to bring programmers up to speed with Python. They should be able to read and write Python.
Python Workshop - Learn Python the Hard WayUtkarsh Sengar
This document provides an introduction to learning Python. It discusses prerequisites for Python, basic Python concepts like variables, data types, operators, conditionals and loops. It also covers functions, files, classes and exceptions handling in Python. The document demonstrates these concepts through examples and exercises learners to practice char frequency counting and Caesar cipher encoding/decoding in Python. It encourages learners to practice more to master the language and provides additional learning resources.
This document provides an overview of NumPy, the core library for scientific computing in Python. It discusses NumPy arrays, which provide a grid of values that are all of the same type and indexed by tuples of integers. NumPy arrays can be initialized from nested lists and accessed using square brackets. NumPy also provides functions to create arrays filled with zeros, ones, random values, or a constant. The document covers slicing NumPy arrays to extract subarrays, and integer array indexing to construct arbitrary arrays from another array's data. It demonstrates how slicing returns views into the original data, while integer indexing allows selecting elements in any order.
The document provides an introduction to programming in Python. It discusses how Python can be used for web development, desktop applications, data science, machine learning, and more. It also covers executing Python programs, reading keyboard input, decision making and loops in Python, standard data types like numbers, strings, lists, tuples and dictionaries. Additionally, it describes functions, opening and reading/writing files, regular expressions, and provides examples of SQLite database connections in Python projects.
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.
The document provides an overview of the Python programming language. It discusses Python's history and versions, development environments, frameworks, uses, and basic features. The summary covers:
Python is an interpreted, object-oriented programming language created in 1989. It has undergone several major versions and is widely used for web development, science, and more. Python code can be written and run in various integrated development environments. It supports objects, modules, exceptions, and other features for structured programming.
Python 101++: Let's Get Down to Business!Paige Bailey
You've started the Codecademy and Coursera courses; you've thumbed through Zed Shaw's "Learn Python the Hard Way"; and now you're itching to see what Python can help you do. This is the workshop for you!
Here's the breakdown: we're going to be taking you on a whirlwind tour of Python's capabilities. By the end of the workshop, you should be able to easily follow any of the widely available Python courses on the internet, and have a grasp on some of the more complex aspects of the language.
Please don't forget to bring your personal laptop!
Audience: This course is aimed at those who already have some basic programming experience, either in Python or in another high level programming language (such as C/C++, Fortran, Java, Ruby, Perl, or Visual Basic). If you're an absolute beginner -- new to Python, and new to programming in general -- make sure to check out the "Python 101" workshop!
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.
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.
This document provides an introduction to the Python programming language. It discusses what Python is, its history and creator, why it is popular, who uses it, and how to get started with the syntax. Key topics covered include Python's readability, dynamic typing, standard library, and use across many industries. The document also includes code examples demonstrating basic Python concepts like variables, strings, control flow, functions, and file input/output.
Python is a versatile, object-oriented programming language that can be used for web development, data analysis, and more. It has a simple syntax and is easy to read and learn. Key features include being interpreted, dynamically typed, supporting functional and object-oriented programming. Common data types include numbers, strings, lists, dictionaries, tuples, and files. Functions and classes can be defined to organize and reuse code. Regular expressions provide powerful string manipulation. Python has a large standard library and is used widely in areas like GUIs, web scripting, AI, and scientific computing.
This document provides an overview of the Python programming language. It discusses what Python is, its key features like being multi-purpose, readable, and productive. It then demonstrates Hello World programs in Python, C++, Java, and PHP. The rest of the document covers Python concepts like operators, variables, strings, lists, conditions, loops, functions, object oriented programming, and design patterns like strategy, closure, generator, and decorator patterns.
This document provides an introduction and overview of various Python programming concepts including print statements, math operations, variables, selection using if/else statements, and iteration using while and for loops. Examples are given for basic "Hello World" programs, math calculations, variables, checking if a number is odd or even, and finding the largest of three numbers. Loops are demonstrated for printing ranges of numbers, calculating sums and factorials. The document also discusses data types and operations in Python.
Vibrant Technologies is headquarted in Mumbai,India.We are the best Python training provider in Navi Mumbai who provides Live Projects to students.We provide Corporate Training also.We are Best Python classes in Mumbai according to our students and corporators
This document discusses using Python for scientific computing. It begins by listing popular programming languages for scientific purposes, including Fortran, MATLAB, Scilab, GNU Octave, Mathematica, and Python. While MATLAB is currently the most popular, it is proprietary software. Python is introduced as a free and open source alternative with many scientific libraries like NumPy, SciPy, scikit-learn, and Matplotlib. These libraries allow Python to perform similarly to MATLAB. Instructions are provided for installing the necessary Python packages on Linux, Unix, and Windows systems. Examples demonstrate basic Python syntax and how to perform tasks like importing data, visualization, and machine learning classification.
This document provides an overview of common compound data types in Python, including strings, tuples, lists, and dictionaries. It describes how to define, access elements, traverse, slice, mutate, and clone each type. Strings and tuples are immutable sequence types that can be indexed but not changed. Lists are mutable sequences that support element assignment. Dictionaries store key-value pairs and allow lookup by key. Slicing can be used to copy sequences to avoid aliasing references to the same data.
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.
Code Like Pythonista
Beautifully made PPT.
Ref. http://python.net/~goodger/projects/pycon/2007/idiomatic/handout.html
Image ref : https://pixabay.com/ko/ and https://morguefile.com/
licensed under a Creative Commons Attribution/Share-Alike (BY-SA) license.
Getting started in Python presentation by Laban KGDSCKYAMBOGO
Python Overview and getting started in Python Language. It includes on how to install, run it and carrying out some simple python codes in different environments(IDLEs)
This document provides an introduction to Python basics including data types, operations, variables, user input/output, strings, numbers, and type conversion. It discusses integers, floats, booleans, arithmetic operators, comparison operators, and functions like int(), float(), str(), type(), print(), and raw_input(). The document contains examples of code snippets and exercises for readers to practice Python concepts.
Introduction to SlideShare for BusinessesSlideShare
As the global hub of professional content, SlideShare can help you or your business amplify its reach, get discovered by targeted audiences and capture more professional opportunities. Learn why you should use SlideShare for your business
How to Make Awesome SlideShares: Tips & TricksSlideShare
Turbocharge your online presence with SlideShare. We provide the best tips and tricks for succeeding on SlideShare. Get ideas for what to upload, tips for designing your deck and more.
SlideShare is a global platform for sharing presentations, infographics, videos and documents. It has over 18 million pieces of professional content uploaded by experts like Eric Schmidt and Guy Kawasaki. The document provides tips for setting up an account on SlideShare, uploading content, optimizing it for searchability, and sharing it on social media to build an audience and reputation as a subject matter expert.
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++".
Python: легко и просто. Красиво решаем повседневные задачи.Python Meetup
The document discusses various techniques for iteration in Python. It covers iterating over lists, dictionaries, files and more. It provides examples of iterating properly to avoid errors like modifying a list during iteration. Context managers are recommended for managing resources like file handles during iteration. The document emphasizes separating administrative from business logic and using tools like generators and context managers.
Python is an interpreted, object-oriented programming language.
In this part, I have gone through some basics of python, game theory, and have created tic tac toe game
This document provides an introduction to the Python programming language. It covers Python's basic data types like integers, floats, strings and lists. It also discusses functions, conditionals, loops, modules and libraries. Example code is provided to demonstrate Python syntax for variables, arithmetic, string operations, conditionals, functions and more. Key aspects of Python like dynamic typing, indentation, comments and documentation strings are also explained.
This document provides a cheat sheet on Python keywords and basic data types. It lists common Python keywords like False, True, and, or, not, break, continue, class, def, if, else, for, while, in, is, None, lambda, and return along with code examples. It also covers basic data types like Boolean, integer, float, string, list, set, dictionary, and complex data types like classes. It provides examples of using lists, sets, dictionaries, classes and functions in Python.
This document provides examples and descriptions of Python keywords and basic data types. It discusses keywords like False, True, and, or, not, break, continue, class, def, if, elif, else, for, while, in, is, None, lambda, and return. It also covers basic data types like integers, floats, strings, lists, sets, dictionaries, and Boolean values. It provides code examples to demonstrate the usage of these keywords and data types in Python.
This is the presentation for the three-session intermediate Python programming course which I developed and successfully presented for the CoderDojo workshop held in Microsoft Silicon Valley in March 2016.
The document provides an overview of the Python programming language. It discusses what Python is, its history and origins, why it is popular, common applications, and who uses it. It then covers running Python, variables, data types, input/output functions, conditional and looping statements. Specific Python concepts explained in more detail include variables, common data types (numeric, string, list, tuple, dictionary, Boolean), functions for lists and tuples, and if/else and for/while loop statements. The document is intended as an introductory guide to Python.
This document contains notes from a Python class covering functions, lists, strings, and their methods. It discusses built-in functions like len(), range(), and type conversions. It also covers control flow structures like if/else, for loops, exceptions, modules, and functions in more detail including defining functions, parameters, arguments, returning values, docstring, and variable scopes. Assignments include writing functions to process lists and check for palindromes in strings.
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 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 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 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 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.
Introduction to Python 01-08-2023.pon by everyone else. . Hence, they must be...DRVaibhavmeshram1
Python
Language
is uesd in engineeringStory adapted from Stephen Covey (2004) “The Seven Habits of Highly Effective People” Simon & Schuster).
“Management is doing things right, leadership is doing the right things”
(Warren Bennis and Peter Drucker)
Story adapted from Stephen Covey (2004) “The Seven Habits of Highly Effective People” Simon & Schuster).
“Management is doing things right, leadership is doing the right things”
(Warren Bennis and Peter Drucker)
Story adapted from Stephen Covey (2004) “The Seven Habits of Highly Effective People” Simon & Schuster).
“Management is doing things right, leadership is doing the right things”
(Warren Bennis and Peter Drucker)
The Sponsor:
Champion and advocates for the change at their level in the organization.
A Sponsor is the person who won’t let the change initiative die from lack of attention, and is willing to use their political capital to make the change happen
The Role model:
Behaviors and attitudes demonstrated by them are looked upon by everyone else. . Hence, they must be willing to go first.
Employees watch leaders for consistency between words and actions to see if they should believe the change is really going to happen.
The decision maker:
Leaders usually control resources such as people, budgets, and equipment, and thus have the authority to make decisions (as per their span of control) that affect the initiative.
During change, leaders must leverage their decision-making authority and choose the options that will support the initiative.
The Decision-Maker is decisive and sets priorities that support change.
The Sponsor:
Champion and advocates for the change at their level in the organization.
A Sponsor is the person who won’t let the change initiative die from lack of attention, and is willing to use their political capital to make the change happen
The Role model:
Behaviors and attitudes demonstrated by them are looked upon by everyone else. . Hence, they must be willing to go first.
Employees watch leaders for consistency between words and actions to see if they should believe the change is really going to happen.
The decision maker:
Leaders usually control resources such as people, budgets, and equipment, and thus have the authority to make decisions (as per their span of control) that affect the initiative.
During change, leaders must leverage their decision-making authority and choose the options that will support the initiative.
The Decision-Maker is decisive and sets priorities that support change.
The Sponsor:
Champion and advocates for the change at their level in the organization.
A Sponsor is the person who won’t let the change initiative die from lack of attention, and is willing to use their political capital to make the change happen
The Role model:
Behaviors and attitudes demonstrated by them are looked upon by everyone else. . Hence, they must be willing to go first.
Employees watch leaders for consistency between words and actions to see if they s
This document is a Python cheat sheet created by Mosh Hamedani to summarize the core concepts covered in his Python tutorial. It includes sections on variables, data types, operators, control flow, functions, classes, modules and the standard library. The author encourages readers to enroll in his Complete Python Programming Course if they want to become a Python expert.
The document provides information about an introduction to Python programming presented by Kiattisak Anoochitarom. It begins with welcoming messages and details about the presenter. It then discusses various Python topics like data types, operators, control flow statements, functions, built-in functions, and string and list methods. Examples are provided throughout to demonstrate different Python concepts and syntax. The goal is to teach the basics of the Python language.
The document discusses various Python datatypes. It explains that Python supports built-in and user-defined datatypes. The main built-in datatypes are None, numeric, sequence, set and mapping types. Numeric types include int, float and complex. Common sequence types are str, bytes, list, tuple and range. Sets can be created using set and frozenset datatypes. Mapping types represent a group of key-value pairs like dictionaries.
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...Sérgio Sacani
Context. With a mass exceeding several 104 M⊙ and a rich and dense population of massive stars, supermassive young star clusters
represent the most massive star-forming environment that is dominated by the feedback from massive stars and gravitational interactions
among stars.
Aims. In this paper we present the Extended Westerlund 1 and 2 Open Clusters Survey (EWOCS) project, which aims to investigate
the influence of the starburst environment on the formation of stars and planets, and on the evolution of both low and high mass stars.
The primary targets of this project are Westerlund 1 and 2, the closest supermassive star clusters to the Sun.
Methods. The project is based primarily on recent observations conducted with the Chandra and JWST observatories. Specifically,
the Chandra survey of Westerlund 1 consists of 36 new ACIS-I observations, nearly co-pointed, for a total exposure time of 1 Msec.
Additionally, we included 8 archival Chandra/ACIS-S observations. This paper presents the resulting catalog of X-ray sources within
and around Westerlund 1. Sources were detected by combining various existing methods, and photon extraction and source validation
were carried out using the ACIS-Extract software.
Results. The EWOCS X-ray catalog comprises 5963 validated sources out of the 9420 initially provided to ACIS-Extract, reaching a
photon flux threshold of approximately 2 × 10−8 photons cm−2
s
−1
. The X-ray sources exhibit a highly concentrated spatial distribution,
with 1075 sources located within the central 1 arcmin. We have successfully detected X-ray emissions from 126 out of the 166 known
massive stars of the cluster, and we have collected over 71 000 photons from the magnetar CXO J164710.20-455217.
BREEDING METHODS FOR DISEASE RESISTANCE.pptxRASHMI M G
Plant breeding for disease resistance is a strategy to reduce crop losses caused by disease. Plants have an innate immune system that allows them to recognize pathogens and provide resistance. However, breeding for long-lasting resistance often involves combining multiple resistance genes
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
ESR spectroscopy in liquid food and beverages.pptxPRIYANKA PATEL
With increasing population, people need to rely on packaged food stuffs. Packaging of food materials requires the preservation of food. There are various methods for the treatment of food to preserve them and irradiation treatment of food is one of them. It is the most common and the most harmless method for the food preservation as it does not alter the necessary micronutrients of food materials. Although irradiated food doesn’t cause any harm to the human health but still the quality assessment of food is required to provide consumers with necessary information about the food. ESR spectroscopy is the most sophisticated way to investigate the quality of the food and the free radicals induced during the processing of the food. ESR spin trapping technique is useful for the detection of highly unstable radicals in the food. The antioxidant capability of liquid food and beverages in mainly performed by spin trapping technique.
Current Ms word generated power point presentation covers major details about the micronuclei test. It's significance and assays to conduct it. It is used to detect the micronuclei formation inside the cells of nearly every multicellular organism. It's formation takes place during chromosomal sepration at metaphase.
hematic appreciation test is a psychological assessment tool used to measure an individual's appreciation and understanding of specific themes or topics. This test helps to evaluate an individual's ability to connect different ideas and concepts within a given theme, as well as their overall comprehension and interpretation skills. The results of the test can provide valuable insights into an individual's cognitive abilities, creativity, and critical thinking skills
Travis Hills' Endeavors in Minnesota: Fostering Environmental and Economic Pr...Travis Hills MN
Travis Hills of Minnesota developed a method to convert waste into high-value dry fertilizer, significantly enriching soil quality. By providing farmers with a valuable resource derived from waste, Travis Hills helps enhance farm profitability while promoting environmental stewardship. Travis Hills' sustainable practices lead to cost savings and increased revenue for farmers by improving resource efficiency and reducing waste.
The debris of the ‘last major merger’ is dynamically youngSérgio Sacani
The Milky Way’s (MW) inner stellar halo contains an [Fe/H]-rich component with highly eccentric orbits, often referred to as the
‘last major merger.’ Hypotheses for the origin of this component include Gaia-Sausage/Enceladus (GSE), where the progenitor
collided with the MW proto-disc 8–11 Gyr ago, and the Virgo Radial Merger (VRM), where the progenitor collided with the
MW disc within the last 3 Gyr. These two scenarios make different predictions about observable structure in local phase space,
because the morphology of debris depends on how long it has had to phase mix. The recently identified phase-space folds in Gaia
DR3 have positive caustic velocities, making them fundamentally different than the phase-mixed chevrons found in simulations
at late times. Roughly 20 per cent of the stars in the prograde local stellar halo are associated with the observed caustics. Based
on a simple phase-mixing model, the observed number of caustics are consistent with a merger that occurred 1–2 Gyr ago.
We also compare the observed phase-space distribution to FIRE-2 Latte simulations of GSE-like mergers, using a quantitative
measurement of phase mixing (2D causticality). The observed local phase-space distribution best matches the simulated data
1–2 Gyr after collision, and certainly not later than 3 Gyr. This is further evidence that the progenitor of the ‘last major merger’
did not collide with the MW proto-disc at early times, as is thought for the GSE, but instead collided with the MW disc within
the last few Gyr, consistent with the body of work surrounding the VRM.
The binding of cosmological structures by massless topological defectsSérgio Sacani
Assuming spherical symmetry and weak field, it is shown that if one solves the Poisson equation or the Einstein field
equations sourced by a topological defect, i.e. a singularity of a very specific form, the result is a localized gravitational
field capable of driving flat rotation (i.e. Keplerian circular orbits at a constant speed for all radii) of test masses on a thin
spherical shell without any underlying mass. Moreover, a large-scale structure which exploits this solution by assembling
concentrically a number of such topological defects can establish a flat stellar or galactic rotation curve, and can also deflect
light in the same manner as an equipotential (isothermal) sphere. Thus, the need for dark matter or modified gravity theory is
mitigated, at least in part.
Phenomics assisted breeding in crop improvementIshaGoswami9
As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate
change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional
genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding
the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can
be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus,
high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes
during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology,
and analysis methods, numerous infrastructure platforms have been developed for phenotyping.
2. The plan!
Basics: data types (and operations & calculations) ← recap
Basics: conditionals & iteration
Basics: lists, tuples, dictionaries
Basics: writing functions
Reading & writing files: opening, parsing & formats
Working with numbers: numpy & scipy
Making plots: matplotlib & pylab
… if you guys want more after all of that …
Writing better code: functions, pep8, classes
Working with numbers: Numpy & Scipy (advanced)
Other modules: Pandas & Scikit-learn
Interactive notebooks: ipython & jupyter
Advanced topics: virtual environments & version control
3. recap: ints, floats, strings & booleans
---- file contents ----
from __future__ import division
# the “+” operation works differently on strings and integers
print “Python”, 1 + 3, “the win!”
print “1” + “3”, “is an unlucky number.”
# integers (and floats) are great for maths
# we can use variables to store values
two = 3 - 1
print “Python is”, two “much fun.”
# strings are for text manipulation
first_numbers = “1” + “2” + “3”
print “The first few numbers are:”, first_numbers
print “Lots of nonsense:” first_numbers * 123
ints & floats
+ addition
- subtraction
* multiplication
/ division
** exponent
% modulus
strings
+ concatenate
* copy
… no spaces
… cannot begin with number: 1, 2 …
… cannot contain ?$@# (except _)
… cannot be a “built-in” name: and, or,
int, float, str, char, exec, file, open,
object, print, quit… (approx. 80
reserved names)
4. recap: ints, floats, strings & booleans
---- file contents ----
from __future__ import division
# “raw_input” always returns a string
number = raw_input(“Gimme a number:”)
print “Here is your number 3 times:” number * 3
# we can use functions to check and change the types
print “number is a:” type(number)
new_number = int(number)
print “new_number is a:” type(new_number)
print “Here is your number times 3 :” new_number * 3
# boolean values and equality testing
number = 3
print “Does number equal 3?”, number == 3
print “Is number > 10? ” number ?”, 3 > 10
int() convert to an integer
str() convert to a string
float() convert to a float
type() determine the type of a variable
= = equal
! = not equal
> greater than
>= greater or equal than
< less than
<= less or equal than
5. Some exercises...
- Write a script that asks the user for their height (in meters), and prints their
height in imperial:
- version 1: prints the result using only feet (1m = 3.28084ft)
- version 2: prints the result using feet and inches, to the nearest inch. (1ft = 12 inches)
6. Making choices
---- file good_advice.py ----
from __future__ import division
# “raw_input” always returns a string
chairs = int(raw_input(“How many chairs do you have?:”))
lions = int(raw_input(“How many lions are there?:”))
# here comes an “if else” block
if chairs >= lions:
# everything “indented” is part of the “true” block
print “You should be fine.”
# so you can write as much code as you want
print “Really, you’ll be fine!”
else:
print “Run away!!!”
# structure of an “if else” block
if boolean :
the “True” code goes here
else:
the “False” code goes here
7. Making choices: elif
---- file good_advice.py ----
from __future__ import division
# “raw_input” always returns a string
chairs = int(raw_input(“How many chairs do you have?:”))
lions = int(raw_input(“How many lions are there?:”))
# here comes an “if else” block.
if chairs > lions:
# everything “indented” is part of the “true” block
print “You should be fine.”
# so you can write as much code as you want
print “Really, you’ll be fine!”
elif chairs == lions: # “elif” is short for “else, if”
print “You’re OK.”
print “But should get some more chairs soon!”
else:
print “Run away!!!”
# structure of an “if elif else” block
# Only ONE block is executed!
if boolean :
the “True” code goes here
elif boolean :
next “True” code goes here
else:
the “False” code goes here
8. Making complex choices: nesting
---- file good_advice.py ----
from __future__ import division
# “raw_input” always returns a string
chairs = int(raw_input(“How many chairs do you have?:”))
lions = int(raw_input(“How many lions are there?:”))
hungry = raw_input(“Are the lions hungry? (yes/no)?:”)
# only worry about chairs if the lions are hungry
if hungry == ‘yes’:
# you can “nest” one “if” in another
if chairs > lions:
# notice the extra indentation?
print “You’ll be fine!”
else:
print “Run away!”
else:
print “The lions are not hungry right now.”
# structure of an “if else” block
if boolean :
if boolean :
… code goes here
else:
… code goes here
else:
… code goes here
9. Making complex choices: nesting
---- file good_advice.py ----
from __future__ import division
# “raw_input” always returns a string
chairs = int(raw_input(“How many chairs do you have?:”))
lions = int(raw_input(“How many lions are there?:”))
traps = int(raw_input(“How many traps do you have?:”))
bears = int(raw_input(“How many bears are there?:”))
# assume traps work against bears
# and chairs against lions
if (traps >= bears) and (chairs >= lions):
print “You’ll be fine!”
else:
print “Run away!”
# structure of an “if else” block
if (boolean and/or boolean…) :
the “True” code goes here
elif (boolean and/or boolean…) :
next “True” code goes here
else:
the “False” code goes here
10. Making complex choices: nesting
---- file good_advice.py ----
from __future__ import division
# “raw_input” always returns a string
chairs = int(raw_input(“How many chairs do you have?:”))
lions = int(raw_input(“How many lions are there?:”))
traps = int(raw_input(“How many traps do you have?:”))
bears = int(raw_input(“How many bears are there?:”))
# assume traps work against bears
# and chairs against lions
if (traps < bears) or (chairs < lions):
print “Run away!”
else:
print “You’ll be fine!”
# structure of an “if else” block
if (boolean and/or boolean…) :
the “True” code goes here
elif (boolean and/or boolean…) :
next “True” code goes here
else:
the “False” code goes here
11. Let’s write the following variants of the lion/chair/hungry program. They start as
above, but:
- If the ‘user’ does not write ‘yes’ or ‘no’ when answering ‘hungry?’, tells them that
their choice is not valid, and nothing else.
Exercise!
---- file good_advice.py ----
from __future__ import division
# “raw_input” always returns a string
chairs = int(raw_input(“How many chairs do you have?:”))
lions = int(raw_input(“How many lions are there?:”))
hungry = raw_input(“Are the lions hungry? (yes/no)?:”)
12. Moar exercises
- Write a script that asks the user 3 times to insert a number: First hours, next
minutes, and last seconds.
- The script should output the time in seconds only.
- Bonus: Write a script that does the opposite (i.e asks for seconds, and writes hr/min/sec)