The document discusses a Python workshop presented by Sian Lerk Lau. It introduces Python and some of its common uses. The workshop covers why to code in Python, setting up a Python environment, Python basics like data types and control structures, and building a simple calculator program as a real example. Attendees are encouraged to ask questions during the Q&A session.
This Bash script connects to a POP3 server to retrieve the number of emails for a user. It defines functions to send POP3 commands (popcmd) and retrieve the email count (pop3stat). The main function sets variables for the POP3 server, user, and password, calls pop3stat, displays the number of emails, and terminates the POP3 connection.
The document describes the reversing of a Tiffany binary that spawns 7 child processes. Each child process handles messages from the parent process using ptrace calls. The parent initializes the children by sending configuration data, then sends each character of a password to be verified. Each child performs a simple computation on its local data and passes the character to the next child. The password is only accepted if all children accept after processing all characters.
As a technical interviewer, one of the questions I like to ask the most is "what happens when I write www.example.com in the browser and then press enter?". The answer reveals a lot about the interviewee's understanding of a vast number of technologies that fringes web development.
In this talk, I go through exactly what happens, down to excruciating detail, so that you will be better prepared for your future job interview.
This explanation is the basic steps in learning python for beginners. Any student wishing to learn python can do so and practice this simple to use tutoril. Any feedback, suggestions or clarifications can be made to buxooa72@mail.com. For G9, G10 and especially G11 students taking computer science [2210].
Erlang is a general-purpose, concurrent, fault-tolerant programming language and runtime environment used to build distributed, real-time applications like WhatsApp chat. It uses lightweight processes, message passing, and supervision trees to enable robust concurrency. Some key features include functional programming, pattern matching, recursion, and built-in support for distribution, concurrency, and monitoring of processes.
Simplifying code monster to elegant in n 5 stepstutec
In this workshop we'll learn how to transform complex, highly coupled code into a simpler, more readable and maintainable shape. We'll target known software anomalies with Refactoring Patterns, following steps with a confined scope, assuring that we stay distant from "changed everything" commits while achieving quick design improvements.
We'll talk different solutions for Fat Models, God Objects, long method chains, NoMethodError on nils, long methods, bad naming and cold coffee.
Slides presented in RailsConf 2014.
This document summarizes an April Fools' Day crypto challenge hosted on the Freenode network in 2014. It describes the multi-level puzzle that spanned topics like cryptography techniques, computer science concepts, and historical figures. It concludes by listing the top 10 winners and 35 users who won a cloak lottery for participating.
The document discusses a Python workshop presented by Sian Lerk Lau. It introduces Python and some of its common uses. The workshop covers why to code in Python, setting up a Python environment, Python basics like data types and control structures, and building a simple calculator program as a real example. Attendees are encouraged to ask questions during the Q&A session.
This Bash script connects to a POP3 server to retrieve the number of emails for a user. It defines functions to send POP3 commands (popcmd) and retrieve the email count (pop3stat). The main function sets variables for the POP3 server, user, and password, calls pop3stat, displays the number of emails, and terminates the POP3 connection.
The document describes the reversing of a Tiffany binary that spawns 7 child processes. Each child process handles messages from the parent process using ptrace calls. The parent initializes the children by sending configuration data, then sends each character of a password to be verified. Each child performs a simple computation on its local data and passes the character to the next child. The password is only accepted if all children accept after processing all characters.
As a technical interviewer, one of the questions I like to ask the most is "what happens when I write www.example.com in the browser and then press enter?". The answer reveals a lot about the interviewee's understanding of a vast number of technologies that fringes web development.
In this talk, I go through exactly what happens, down to excruciating detail, so that you will be better prepared for your future job interview.
This explanation is the basic steps in learning python for beginners. Any student wishing to learn python can do so and practice this simple to use tutoril. Any feedback, suggestions or clarifications can be made to buxooa72@mail.com. For G9, G10 and especially G11 students taking computer science [2210].
Erlang is a general-purpose, concurrent, fault-tolerant programming language and runtime environment used to build distributed, real-time applications like WhatsApp chat. It uses lightweight processes, message passing, and supervision trees to enable robust concurrency. Some key features include functional programming, pattern matching, recursion, and built-in support for distribution, concurrency, and monitoring of processes.
Simplifying code monster to elegant in n 5 stepstutec
In this workshop we'll learn how to transform complex, highly coupled code into a simpler, more readable and maintainable shape. We'll target known software anomalies with Refactoring Patterns, following steps with a confined scope, assuring that we stay distant from "changed everything" commits while achieving quick design improvements.
We'll talk different solutions for Fat Models, God Objects, long method chains, NoMethodError on nils, long methods, bad naming and cold coffee.
Slides presented in RailsConf 2014.
This document summarizes an April Fools' Day crypto challenge hosted on the Freenode network in 2014. It describes the multi-level puzzle that spanned topics like cryptography techniques, computer science concepts, and historical figures. It concludes by listing the top 10 winners and 35 users who won a cloak lottery for participating.
Webinar - Bringing Game Changing Insights with Graph DatabasesDataStax
For many important problems, such as fraud detection, search, personalization, recommendation, and user authorization, data generated by graph databases are often easier and more efficient than other alternatives. Join our partner, Expero, to learn how applying user-centered strategies and leveraging the latest UI tools to your graph database can bring game-changing insights, finding critical concepts, clusters and relationships out of once-disconnected data.
View recording: https://youtu.be/sP2YpwmyHbg
Explore all current and on-demand DataStax webinars: http://www.datastax.com/resources/webinars
Google Home is a smart speaker developed by Google that uses Google Assistant to respond to voice commands. It allows users to control smart home devices like lights, thermostats, and more through voice. Google collects user data from Google Home to personalize ads. While it faces competition from Amazon Echo, Google Home has advantages like integration with more smart home devices and Google's search capabilities. It is expected to succeed due to improvements like multi-user support.
Les micro orm, alternatives à entity frameworkMSDEVMTL
L'arrivée il y 10 ans d'Entity Framework a permis de manipuler une base de données sans écrire une seule ligne de SQL.Entity Framework a apporté son lot d'avantages mais aussi d'inconvénients.
Aujourd'hui il existe différentes alternatives à ce dernier, les micro ORM.Nous allons voir en quoi ils sont intéressants : leur compatibilité avec les différentes bases de données, leur simplicité, leur performance, la communauté autour de ces derniers.
Tracxn Research - Industrial Robotics Landscape, February 2017Tracxn
A number of investments in 2016 were made by CVCs such as GE Ventures, Caterpillar, Medtronic, and Mitsubishi UFJ Capital, who envision robotic technology to be implemented in their area of expertise.
Introducing NoSQL and MongoDB to complement Relational Databases (AMIS SIG 14...Lucas Jellema
This presentation gives an brief overview of the history of relational databases, ACID and SQL and presents some of the key strentgths and potential weaknesses. It introduces the rise of NoSQL - why it arose, what is entails, when to use it. The presentation focuses on MongoDB as prime example of NoSQL document store and it shows how to interact with MongoDB from JavaScript (NodeJS) and Java.
The document summarizes key trends from the 2015 Internet Trends report by Mary Meeker. It outlines that while global internet and smartphone user growth is still solid, the growth rate is slowing as adoption increases. It also notes that incremental users will be harder to obtain as adoption depends more on developing markets. Internet usage and engagement growth remains strong, especially for mobile video. Mobile advertising is growing faster than desktop but still lags in share of total internet advertising spending. The document also highlights new advertising formats and payment options optimized for mobile usage as well as the rise of vertical video viewing. Finally, it discusses how enterprise technology startups are reimagining business processes by addressing prior pain points in areas like communications, payments, analytics and
The AWS Workshop Series Online is a series of live webinars designed for IT professionals who are looking to leverage the AWS Cloud to build and transform their business, are new to the AWS Cloud or looking to further expand their skills and expertise. In the 2nd of this series, we will cover 'Build a Website on AWS for Your First 10 Million Users'.
Webinar: Fighting Fraud with Graph DatabasesDataStax
Modern fraud detection has significant engineering challenges. From managing the ingestion and scale, to the analysis of those patterns in real-time. We'll first take a look at how DataStax Enterprise Graph, powered by the industry’s best version of Apache Cassandra™, can meet those requirements to help you save the day.
Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us in this session to understand best practices for scaling your resources from zero to millions of users. We show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.
GCP - Continuous Integration and Delivery into Kubernetes with GitHub, Travis...Oleg Shalygin
Kubernetes provides an automated platform to deployment, scaling and operations of applications across a cluster of hosts. Complementing Kubernetes with a series of build scripts in conjunction with Travis-CI, GitHub, Artifactory, and Google Cloud Platform, we can take code from a merged pull request to a deployed environment with no manual intervention on a highly scaleable and robust infrastructure.
REST é a bola vez quando falamos sobre API. As maioria dos serviços que encontramos na web fornece interfaces deste tipo para que possamos desenvolver integrações. Será mesmo que estas APIs podem ser consideradas RESTful? O que é preciso para que uma API seja considerada RESTful? Você sabia que este padrão já existe a mais de 15 anos? Nesta palestra vamos nos aprofundar no tema e entender os conceitos e constraints de um sistema RESTful para que possamos explorar suas vantagens na hora de arquitetar nossa próxima API web.
Não é fácil escrever uma biblioteca confortável de usar. É difícil agradar a todos. Mas também é difícil agradar até quem acha que a nossa biblioteca faz algo útil. Não é fácil nem mesmo quando fazemos algo reusável só para nós mesmos.
Ainda bem que muitos outros programadores já erraram antes de nós. E existem em Python e fora dele diversos exemplos de boas libs nas quais podemos nos inspirar.
Essa palestra resumirá o que torna uma biblioteca boa, de acordo com nossa experiência e com a experiência de outros programadores que já escreveram sobre isso. Algumas características de boas bibliotecas são:
- Alta Consistência
- Muitos dados puros
- Baixa Verbosidade
- Respeito ao Principle of Least Astonishment
- Alta Extensibilidade
- Baixa Retenção
- Vários níveis de abstrações
- Alta granularidade
- Interesses claros e separados
- Pythonica
Como você pode ver, alguns aspectos acima são similares ao Zen of Python. Por isso também mostraremos funcionalidades do Python que ajudam a programar boas interfaces. Além disso, para resumir tudo definiremos um checklist que você poderá usar sempre que for escrever um módulo reusável. Esperamos que isso ajude você a programar melhor, o que certamente agradará seus parceiros de trabalho e a comunidade.
Como um verdadeiro sistema REST funciona: arquitetura e performance na AbrilLuis Cipriani
A palestra irá compartilhar a experiência e lições aprendidas no desenvolvimento da plataforma de publicação da Abril, um sistema distribuído com vários nós independentes que se comunicam usando REST e hypermidia. Também introduziremos alguns conceitos avançados de HTTP que podem fazer com que sistemas REST executem com melhor performance, evitando os problemas comuns de se manter uma plataforma em larga escala, com uma grande diversidade de usuários.
1) The document provides details on various aspects of Flask application development including typical project structure, blueprints, databases, forms and validation, management commands, assets management, testing, and debugging.
2) It discusses Flask extensions for these areas such as Flask-SQLAlchemy, Flask-Werkzeug, Flask-Assets, Flask-Mail, and Flask-DebugToolbar.
3) The document raises some issues around porting Flask to Python 3 and the size and scope of the Werkzeug library that Flask is built upon.
Desenvolver um projeto não se trata apenas de escrever código funcional. Legibilidade, modularização, acoplamento, portabilidade, complexidade e documentação são todas métricas importantíssimas para se produzir código de qualidade. Respondendo perguntas como:
Como organizar os arquivos no projeto?
Quais bibliotecas podem ajudar a tormar sua aplicação mais robusta e melhorar seu código?
Como organizar seu ambiente de desenvolvimento, staging e produção?
O que são boas e más práticas de desenvolvimento?
vamos debater como e quais ferramentas e padrões podem nos ajudar a desenvolver código de qualidade, sem que seja preciso muito esforço.
It is the slides for COSCUP[1] 2013 Hands-on[2], "Learning Python from Data".
It aims for using examples to show the world of Python. Hope it will help you with learning Python.
[1] COSCUP: http://coscup.org/
[2] COSCUP Hands-on: http://registrano.com/events/coscup-2013-hands-on-mosky
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.
Webinar - Bringing Game Changing Insights with Graph DatabasesDataStax
For many important problems, such as fraud detection, search, personalization, recommendation, and user authorization, data generated by graph databases are often easier and more efficient than other alternatives. Join our partner, Expero, to learn how applying user-centered strategies and leveraging the latest UI tools to your graph database can bring game-changing insights, finding critical concepts, clusters and relationships out of once-disconnected data.
View recording: https://youtu.be/sP2YpwmyHbg
Explore all current and on-demand DataStax webinars: http://www.datastax.com/resources/webinars
Google Home is a smart speaker developed by Google that uses Google Assistant to respond to voice commands. It allows users to control smart home devices like lights, thermostats, and more through voice. Google collects user data from Google Home to personalize ads. While it faces competition from Amazon Echo, Google Home has advantages like integration with more smart home devices and Google's search capabilities. It is expected to succeed due to improvements like multi-user support.
Les micro orm, alternatives à entity frameworkMSDEVMTL
L'arrivée il y 10 ans d'Entity Framework a permis de manipuler une base de données sans écrire une seule ligne de SQL.Entity Framework a apporté son lot d'avantages mais aussi d'inconvénients.
Aujourd'hui il existe différentes alternatives à ce dernier, les micro ORM.Nous allons voir en quoi ils sont intéressants : leur compatibilité avec les différentes bases de données, leur simplicité, leur performance, la communauté autour de ces derniers.
Tracxn Research - Industrial Robotics Landscape, February 2017Tracxn
A number of investments in 2016 were made by CVCs such as GE Ventures, Caterpillar, Medtronic, and Mitsubishi UFJ Capital, who envision robotic technology to be implemented in their area of expertise.
Introducing NoSQL and MongoDB to complement Relational Databases (AMIS SIG 14...Lucas Jellema
This presentation gives an brief overview of the history of relational databases, ACID and SQL and presents some of the key strentgths and potential weaknesses. It introduces the rise of NoSQL - why it arose, what is entails, when to use it. The presentation focuses on MongoDB as prime example of NoSQL document store and it shows how to interact with MongoDB from JavaScript (NodeJS) and Java.
The document summarizes key trends from the 2015 Internet Trends report by Mary Meeker. It outlines that while global internet and smartphone user growth is still solid, the growth rate is slowing as adoption increases. It also notes that incremental users will be harder to obtain as adoption depends more on developing markets. Internet usage and engagement growth remains strong, especially for mobile video. Mobile advertising is growing faster than desktop but still lags in share of total internet advertising spending. The document also highlights new advertising formats and payment options optimized for mobile usage as well as the rise of vertical video viewing. Finally, it discusses how enterprise technology startups are reimagining business processes by addressing prior pain points in areas like communications, payments, analytics and
The AWS Workshop Series Online is a series of live webinars designed for IT professionals who are looking to leverage the AWS Cloud to build and transform their business, are new to the AWS Cloud or looking to further expand their skills and expertise. In the 2nd of this series, we will cover 'Build a Website on AWS for Your First 10 Million Users'.
Webinar: Fighting Fraud with Graph DatabasesDataStax
Modern fraud detection has significant engineering challenges. From managing the ingestion and scale, to the analysis of those patterns in real-time. We'll first take a look at how DataStax Enterprise Graph, powered by the industry’s best version of Apache Cassandra™, can meet those requirements to help you save the day.
Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us in this session to understand best practices for scaling your resources from zero to millions of users. We show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.
GCP - Continuous Integration and Delivery into Kubernetes with GitHub, Travis...Oleg Shalygin
Kubernetes provides an automated platform to deployment, scaling and operations of applications across a cluster of hosts. Complementing Kubernetes with a series of build scripts in conjunction with Travis-CI, GitHub, Artifactory, and Google Cloud Platform, we can take code from a merged pull request to a deployed environment with no manual intervention on a highly scaleable and robust infrastructure.
REST é a bola vez quando falamos sobre API. As maioria dos serviços que encontramos na web fornece interfaces deste tipo para que possamos desenvolver integrações. Será mesmo que estas APIs podem ser consideradas RESTful? O que é preciso para que uma API seja considerada RESTful? Você sabia que este padrão já existe a mais de 15 anos? Nesta palestra vamos nos aprofundar no tema e entender os conceitos e constraints de um sistema RESTful para que possamos explorar suas vantagens na hora de arquitetar nossa próxima API web.
Não é fácil escrever uma biblioteca confortável de usar. É difícil agradar a todos. Mas também é difícil agradar até quem acha que a nossa biblioteca faz algo útil. Não é fácil nem mesmo quando fazemos algo reusável só para nós mesmos.
Ainda bem que muitos outros programadores já erraram antes de nós. E existem em Python e fora dele diversos exemplos de boas libs nas quais podemos nos inspirar.
Essa palestra resumirá o que torna uma biblioteca boa, de acordo com nossa experiência e com a experiência de outros programadores que já escreveram sobre isso. Algumas características de boas bibliotecas são:
- Alta Consistência
- Muitos dados puros
- Baixa Verbosidade
- Respeito ao Principle of Least Astonishment
- Alta Extensibilidade
- Baixa Retenção
- Vários níveis de abstrações
- Alta granularidade
- Interesses claros e separados
- Pythonica
Como você pode ver, alguns aspectos acima são similares ao Zen of Python. Por isso também mostraremos funcionalidades do Python que ajudam a programar boas interfaces. Além disso, para resumir tudo definiremos um checklist que você poderá usar sempre que for escrever um módulo reusável. Esperamos que isso ajude você a programar melhor, o que certamente agradará seus parceiros de trabalho e a comunidade.
Como um verdadeiro sistema REST funciona: arquitetura e performance na AbrilLuis Cipriani
A palestra irá compartilhar a experiência e lições aprendidas no desenvolvimento da plataforma de publicação da Abril, um sistema distribuído com vários nós independentes que se comunicam usando REST e hypermidia. Também introduziremos alguns conceitos avançados de HTTP que podem fazer com que sistemas REST executem com melhor performance, evitando os problemas comuns de se manter uma plataforma em larga escala, com uma grande diversidade de usuários.
1) The document provides details on various aspects of Flask application development including typical project structure, blueprints, databases, forms and validation, management commands, assets management, testing, and debugging.
2) It discusses Flask extensions for these areas such as Flask-SQLAlchemy, Flask-Werkzeug, Flask-Assets, Flask-Mail, and Flask-DebugToolbar.
3) The document raises some issues around porting Flask to Python 3 and the size and scope of the Werkzeug library that Flask is built upon.
Desenvolver um projeto não se trata apenas de escrever código funcional. Legibilidade, modularização, acoplamento, portabilidade, complexidade e documentação são todas métricas importantíssimas para se produzir código de qualidade. Respondendo perguntas como:
Como organizar os arquivos no projeto?
Quais bibliotecas podem ajudar a tormar sua aplicação mais robusta e melhorar seu código?
Como organizar seu ambiente de desenvolvimento, staging e produção?
O que são boas e más práticas de desenvolvimento?
vamos debater como e quais ferramentas e padrões podem nos ajudar a desenvolver código de qualidade, sem que seja preciso muito esforço.
It is the slides for COSCUP[1] 2013 Hands-on[2], "Learning Python from Data".
It aims for using examples to show the world of Python. Hope it will help you with learning Python.
[1] COSCUP: http://coscup.org/
[2] COSCUP Hands-on: http://registrano.com/events/coscup-2013-hands-on-mosky
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.
This document discusses Python and web frameworks. It begins with an introduction to Python and its advantages for web development. It then discusses several popular Python web frameworks including web.py, Flask, and Django. It also covers related topics like WSGI, templating with Jinja2, asynchronous programming, and deployment with virtualenv.
PHPUnit provides concise summaries of test results in 3 sentences or less. The summary of the given document is:
The document discusses the current state of PHPUnit, including recent versions 3.6.12 and 3.7.5. It outlines improvements made in PHPUnit 3.7 such as improved exception reporting, process isolation fixes, and new features like JSON assertion methods. The document also discusses the PHPUnit ecosystem and recommends tools like Behat, Mockery, and Travis CI for behavior driven development, mocking, and continuous integration.
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.
This document summarizes Instagram's experience with Python and Django. It discusses why Instagram chose Python and Django, how they have scaled their Python/Django stack to support billions of users, and their process for migrating to Python 3 while minimizing disruptions. Key points include Instagram leveraging tools to profile performance bottlenecks, moving critical components to C/C++, and taking a gradual approach to migrating services to Python 3 one endpoint at a time over several months.
Save time by applying clean code principlesEdorian
This document discusses applying clean code principles to save time. It motivates clean code by noting that developers spend most of their time reading and understanding code. It recommends techniques like testing, coding standards, dependency injection and small focused classes to make code easier to read and maintain. Examples show how naming conventions, short functions, avoiding comments and value objects can clarify code's intent and purpose.
Here is a Python function that calculates the distance between two points given their x and y coordinates:
```python
import math
def distance_between_points(x1, y1, x2, y2):
return math.sqrt((x2 - x1)**2 + (y2 - y1)**2)
```
To use it:
```python
distance = distance_between_points(1, 2, 4, 5)
print(distance)
```
This would print 3.605551275463989, which is the distance between the points (1,2) and (4,5).
The key steps are:
1.
Companies want to validate products early, with little time for good engineering and performance work. Yet good code can provide 10-100x speed up which brings tremendous value to clients. We get help from modern hardware and algorithms but we need to know what are its strengths and limitations so we can consciously decide when to invest in engineering and what added value to expect.
This document summarizes a presentation on Swift for TensorFlow. It discusses the history of Swift for TensorFlow, including Chris Lattner's proposal for dynamically callable types, the initial tensorflow/swift project, and the project moving to Apple's Swift repository. It also provides an overview of using TensorFlow on iOS, including TensorFlow Mobile, TensorFlow Light, tfcoreml, TensorFlow.js, and MLKit. Examples are given for importing TensorFlow in Swift and converting models to different formats.
This document discusses several new features introduced in PHP 7 including:
1. Exception handling was improved with a new exception hierarchy and errors are now catchable.
2. Scalar type declarations were added allowing functions to declare and enforce parameter and return value types like int, float, bool, etc.
3. The null coalescing operator ?? was added to simplify checking for null values and providing defaults.
4. The spaceship operator <=> was added for combined comparison of values returning -1, 0, or 1.
Overall PHP 7 focused on major internal improvements and optimizations while maintaining backwards compatibility and adding several new features to further strengthen type safety.
This document discusses new features in CakePHP version 2.2 related to view blocks, JSON and XML views, improved hashing performance, date/time utilities, and scoped logging. It provides examples of using view blocks to keep HTML DRY, creating JSON views, benchmarking hash performance improvements over sets, using the new CakeTime and CakeNumber utilities, and attaching loggers with scopes to filter log messages.
LESSON 3A. INTRODUCTION TO ITERATION: LOOPS, TRACE TABLES, WHILE LOOPS
Introduction to Iteration and loops. The theory behind loops and how they work. Create and adapt programs using loops. Intro to the random number generator. Learn about trace tabling (white box testing). Example of a trace table and dry run. Wonders of the Fibonacci sequence. Examples of Iteration in game design. Focus on While loops. Challenges, tasks (with solutions), suggested videos, big ideas discussion and research and HW included. Introducing Ada Lovelace and Charles Babbage.
Python is a high-level, interpreted, interactive, and object-oriented scripting language. It can be used as both a scripting language and for object-oriented programming. Python code is automatically compiled to byte code and executed. It supports data types like numbers, strings, lists, tuples, dictionaries, booleans, and sets. Common operations include concatenation, slicing, repetition, indexing, and more. User input can be obtained using functions like input() and raw_input().
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.
Python is a popular programming language that is easy to learn and intuitive. It is well-suited for data science tasks. TensorFlow is a library for machine learning. The document provides an introduction and overview of Python basics like variables, data types, operators, and control structures. It also covers TensorFlow and how it can be used for neural network applications.
This document provides an overview of new features in Java 8, including lambda expressions, default methods, and streams. Key points include:
- Lambda expressions allow for functional-style programming and remove boilerplate when passing operations as arguments.
- Default methods allow adding new methods to interfaces without breaking existing implementations. This enables adding new default behavior to existing interfaces.
- Streams provide a functional-style way to process collections of objects, and are lazy evaluated for efficiency. Common stream operations like map, filter, and forEach are demonstrated.
This talk was delivered at JavaOne 2013, together with Andrzej Grzesik. We mention the new Date APIs, changes to Collections as well as Streams APIs and of course... Lambdas!
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
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21. # Python interactive shell
$ python
# Python interactive shell
# (on steroid!)
$ pip install ipython
$ ipython
# QUIZ: What version of python
# are you currently using?
ENV* - EASIEST WAY TO PYTHON
24. # MORE TYPES - '' and ""
>>> b = 'a'
>>> c = 'abc'
>>> d = "abc"
# QUIZ: WHAT DATA TYPES ARE b, c and d?
>>> type(b)
>>> type(c)
>>> type(d)
101* - DATA TYPES
25. # MORE TYPES
# bool, NoneType, float, long
>>> e = True
>>> f = False
>>> g = None
>>> h = 1.0
>>> i = 1L
# QUIZ: WHAT IS None?
101* - DATA TYPES
27. # COLLECTION 1: LIST
>>> a = [1, 2, 3]
>>> b = list()
>>> b.append(1)
>>> b.append(2)
>>> b.append(3)
# QUIZ: How do we retrieve the value?
# QUIZ: Is a and b same?
101* - DATA TYPES
28. # SAME - EQUALITY or IDENTITY?
>>> a == b
True
>>> a is b
False
# QUIZ: WHAT IS THE DIFF
# BETWEEN == AND is
101* - DATA TYPES
29. # COLLECTION 2 - TUPLE
>>> c = (1, 2, 3)
>>> d = 1, 2, 3
# QUIZ: SO AGAIN, IS c SAME with d?
101* - DATA TYPES
30. # COLLECTION 3: dict
>>> e = {1: 11, 2: 22}
>>> e[1]
>>> e[2]
# QUIZ: IS THIS AN array?
# QUIZ: MUST THE key BE int?
101* - DATA TYPES
31. # COLLECTION 4: set
>>> f = set()
>>> f.add(1)
>>> f.add(2)
>>> f.add(3)
# QUIZ: WHAT IS THE DIFF
# BETWEEN list AND set?
101* - DATA TYPES
33. 101* - DATA TYPES
# if, else, elif
>>> a = 2
>>> if a == 1:
... print "hello"
... elif a == 2:
... print "world"
>>>
34. 101* - DATA TYPES
# if, else, elif CONTINUES
>>> a = 1
>>> if a == 1:
... print "hello"
... else:
... print "world"
>>>
35. 101* - DATA TYPES
# for LOOP
>>> for i in [1, 2, 3]:
... print i
>>> for j in range(1,3):
... print j
# QUIZ: WHAT DO YOU SEE WHEN print j
36. 101* - DATA TYPES
# for LOOP
>>> for i in (1, 2, 3):
... print i
>>> for k,v in {1: 11, 2: 22}.iteritems():
... print k, v
# QUIZ: WHAT DO YOU SEE WHEN print k, v
37. 101* - DATA TYPES
# list comprehension
>>> a = [1,2,3,4,5]
>>> b = [i+1 for i in a]
# QUIZ: WHAT IS THE VALUE OF b?
38. 101* - DATA TYPES
# list comprehension
>>> a = [1,2,3,4,5]
>>> b = [i for i in a if i % 2 == 0]
# QUIZ: WHAT IS THE VALUE OF b?
40. pip
∗ Package management system used to install and manage
software packages written in Python
∗ Why?
Easy package installations, updating, configuring and
removals with a single command
∗ Over 86,000 Python packages can be accessed through
PyPI
∗ Sample commands:
$ pip install flask
$ pip uninstall flask
41. python packages
∗ Mathematical Analytics: Numpy
∗ DB Connectors: MySQL, MongoDB,
PostgreSQL, etc.
∗ Web Frameworks: Pyramid, Django
∗ Twitter API client
∗ Many more…
“It’s like Swiss-army toolchain”
42. virtualenv
∗ Is an isolated working copy of Python which allows you to
work on a specific project without worry of affecting other
projects
∗ Why?
We might wants to maintain the package version
(prefer not upgrading it to newer version)
“Do not fix things that aren’t broken”
45. virtualenv
# ACTIVATE A VENV ON LINUX
workon Project1
# ON WINDOWS
$ /path/to/folder/Scripts/activate.bat
# LIST INSTALLED PACKAGES
(test)$ pip freeze
47. flask
∗ Flask is a micro web framework written in Python
∗ Micro framework means it does not require particular
tools or libraries and it just works
∗ Suitable for minimal website or a full featured website
∗ Many extensions freely available:
User authentications
Flask-Security
File Uploads
Database
49. PROG* - HELLO WORLD!
# INSTALL FLASK MODULE
$ pip install flask
# QUIZ: WHAT DO YOU SEE IN RESULT
# OF THE ABOVE COMMAND
50. PROG* - HELLO WORLD!
# EDIT A NEW FILE USING YOUR FAVOURITE
# TEXT EDITOR
$ vim hello.py
51. PROG* - HELLO WORLD!
# KEY IN THE FOLLOWING INTO THE FILE
from flask import Flask
app = Flask(__name__)
@app.route("/")
def hello():
return "Hello World!"
52. NOOO WAY… R U KIDDING ME?
CONGRATULATIONS!
U HV COMPLETED
A WORKING PROGRAM WEB SERVICE
53. # LET’S START THE WEB SERVICE
$ export FLASK_APP=hello.py
$ flask run
# IF WINDOWS
$ set FLASK_APP=hello.py
$ flask run
# QUIZ: WHAT’S NEXT?
PROG* - HELLO WORLD!
59. PROG* - MOOOOOOORE~
# KEY IN THE FOLLOWING INTO THE FILE
from flask import Flask
app = Flask(__name__)
@app.route("/")
def index():
return "Not Hello World!"
@app.route("/hello")
def hello():
return "Hello World!"
# QUIZ: MUST THE ROUTE NAME SAME WITH
# THE METHOD NAME?
60. PROG* - MOOOOOOOORE~
# QUIZ: CAN I DON’T RESTART FLASK
# EVERY TIME I MODIFY MY FILE?
$ export FLASK_DEBUG=1
$ flask run
# QUIZ: WHAT IS THE COMMAND IF YOU USE
# WINDOWS?
61. PROG* - MOOOOOOORE~
# KEY IN THE FOLLOWING INTO THE FILE
from flask import Flask
app = Flask(__name__)
@app.route("/")
def index():
return "Index!"
@app.route("/user/<username>")
def user(username):
return "Hello %s!" % username
# QUIZ: WHAT HAPPEN WHEN YOU VISIT
# http://localhost:5000/user
Python isnt made for web. It’s a general purpose scripting language. Can do many things with it. Compared to PHP, it’s made for web dev. That’s why flask come in, to be able to write web using Python.
Micro means so simple and doesnt include any extra things. But you can add them as you want.