#Youtube data scraping Y

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[octopars-es]

Las 20 Mejores Herramientas de Web Scraping para 2021

Herramienta Web Scraping (también conocido como extracción de datos de la web, web crawling) se ha aplicado ampliamente en muchos campos hoy en día. Antes de que una herramienta de scraping llegue al público, es la palabra mágica para personas normales sin habilidades de programación. Su alto umbral sigue bloqueando a las personas fuera de Big Data. Una herramienta de web scraping es la tecnología de captura automatizada y cierra la brecha entre Big Data y cada persona.

Enumeré 20 MEJORES web scrapers incluyen sus caracterísiticas y público objetivo para que tomes como referencia. ¡Bienvenido a aprovecharlo al máximo!

Tabla de Contenidos

¿Cuáles son los beneficios de usar técnicas de web scraping?

20 MEJORES web scrapers

Octoparse

Cyotek WebCopy

HTTrack

Getleft

Scraper

OutWit Hub

ParseHub

Visual Scraper

Scrapinghub

Dexi.io

Webhose.io

Import. io

80legs

Spinn3r

Content Grabber

Helium Scraper

UiPath

Scrape.it

WebHarvy

ProWebScraper

Conclusión

¿Cuáles son los beneficios de usar técnicas de web scraping?

Liberar tus manos de hacer trabajos repetitivos de copiar y pegar.

Colocar los datos extraídos en un formato bien estructurado que incluye, entre otros, Excel, HTML y CSV.

Ahorrarte tiempo y dinero al obtener un analista de datos profesional.

Es la cura para comercializador, vendedores, periodistas, YouTubers, investigadores y muchos otros que carecen de habilidades técnicas.

1. Octoparse

Octoparse es un web scraper para extraer casi todo tipo de datos que necesitas en los sitios web. Puedes usar Octoparse para extraer datos de la web con sus amplias funcionalidades y capacidades. Tiene dos tipos de modo de operación: Modo Plantilla de tarea y Modo Avanzado, para que los que no son programadores puedan aprender rápidamente. La interfaz fácil de apuntar y hacer clic puede guiarte a través de todo el proceso de extracción. Como resultado, puedes extraer fácilmente el contenido del sitio web y guardarlo en formatos estructurados como EXCEL, TXT, HTML o sus bases de datos en un corto período de tiempo.

Además, proporciona una Programada Cloud Extracción que tle permite extraer datos dinámicos en tiempo real y mantener un registro de seguimiento de las actualizaciones del sitio web.

También puedes extraer la web complejos con estructuras difíciles mediante el uso de su configuración incorporada de Regex y XPath para localizar elementos con precisión. Ya no tienes que preocuparte por el bloqueo de IP. Octoparse ofrece Servidores Proxy IP que automatizarán las IP y se irán sin ser detectados por sitios web agresivos.

Octoparse debería poder satisfacer las necesidades de rastreo de los usuarios, tanto básicas como avanzadas, sin ninguna habilidad de codificación.

2. Cyotek WebCopy

WebCopy es un web crawler gratuito que te permite copiar sitios parciales o completos localmente web en tu disco duro para referencia sin conexión.

Puedes cambiar su configuración para decirle al bot cómo deseas capturar. Además de eso, también puedes configurar alias de dominio, cadenas de agente de usuario, documentos predeterminados y más.

Sin embargo, WebCopy no incluye un DOM virtual ni ninguna forma de análisis de JavaScript. Si un sitio web hace un uso intensivo de JavaScript para operar, es más probable que WebCopy no pueda hacer una copia verdadera. Es probable que no maneje correctamente los diseños dinámicos del sitio web debido al uso intensivo de JavaScript

3. HTTrack

Como programa gratuito de rastreo de sitios web, HTTrack proporciona funciones muy adecuadas para descargar un sitio web completo a su PC. Tiene versiones disponibles para Windows, Linux, Sun Solaris y otros sistemas Unix, que cubren a la mayoría de los usuarios. Es interesante que HTTrack pueda reflejar un sitio, o más de un sitio juntos (con enlaces compartidos). Puedes decidir la cantidad de conexiones que se abrirán simultáneamente mientras descarga las páginas web en "establecer opciones". Puedes obtener las fotos, los archivos, el código HTML de su sitio web duplicado y reanudar las descargas interrumpidas.

Además, el soporte de proxy está disponible dentro de HTTrack para maximizar la velocidad.

HTTrack funciona como un programa de línea de comandos, o para uso privado (captura) o profesional (espejo web en línea). Dicho esto, HTTrack debería ser preferido por personas con habilidades avanzadas de programación.

4. Getleft

Getleft es un web spider gratuito y fácil de usar. Te permite descargar un sitio web completo o cualquier página web individual. Después de iniciar Getleft, puedes ingresar una URL y elegir los archivos que deseas descargar antes de que comience. Mientras avanza, cambia todos los enlaces para la navegación local. Además, ofrece soporte multilingüe. ¡Ahora Getleft admite 14 idiomas! Sin embargo, solo proporciona compatibilidad limitada con Ftp, descargará los archivos pero no de forma recursiva.

En general, Getleft debería poder satisfacer las necesidades básicas de scraping de los usuarios sin requerir habilidades más sofisticadas.

5. Scraper

Scraper es una extensión de Chrome con funciones de extracción de datos limitadas, pero es útil para realizar investigaciones en línea. También permite exportar los datos a las hojas de cálculo de Google. Puedes copiar fácilmente los datos al portapapeles o almacenarlos en las hojas de cálculo con OAuth. Scraper puede generar XPaths automáticamente para definir URL para scraping.

No ofrece servicios de scraping todo incluido, pero puede satisfacer las necesidades de extracción de datos de la mayoría de las personas.

6. OutWit Hub

OutWit Hub es un complemento de Firefox con docenas de funciones de extracción de datos para simplificar sus búsquedas en la web. Esta herramienta de web scraping puede navegar por las páginas y almacenar la información extraída en un formato adecuado.

OutWit Hub ofrece una interfaz única para extraer pequeñas o grandes cantidades de datos por necesidad. OutWit Hub te permite eliminar cualquier página web del navegador. Incluso puedes crear agentes automáticos para extraer datos.

Es una de las herramientas de web scraping más simples, de uso gratuito y te ofrece la comodidad de extraer datos web sin escribir código.

7. ParseHub

Parsehub es un excelente web scraper que admite la recopilación de datos de la web que utilizan tecnología AJAX, JavaScript, cookies, etc. Sutecnología de aprendizaje automático puede leer, analizar y luego transformar documentos web en datos relevantes.

La aplicación de escritorio de Parsehub es compatible con sistemas como Windows, Mac OS X y Linux. Incluso puedes usar la aplicación web que está incorporado en el navegador.

Como programa gratuito, no puedes configurar más de cinco proyectos públicos en Parsehub. Los planes de suscripción pagados te permiten crear al menos 20 proyectos privados para scrape sitios web.

ParseHub está dirigido a prácticamente cualquier persona que desee jugar con los datos. Puede ser cualquier persona, desde analistas y científicos de datos hasta periodistas.

8. Visual Scraper

Visual Scraper es otro gran web scraper gratuito y sin codificación con una interfaz simple de apuntar y hacer clic. Puedes obtener datos en tiempo real de varias páginas web y exportar los datos extraídos como archivos CSV, XML, JSON o SQL. Además de SaaS, VisualScraper ofrece un servicio de web scraping como servicios de entrega de datos y creación de servicios de extracción de software.

Visual Scraper permite a los usuarios programar un proyecto para que se ejecute a una hora específica o repetir la secuencia cada minuto, día, semana, mes o año. Los usuarios pueden usarlo para extraer noticias, foros con frecuencia.

9. Scrapinghub

Scrapinghub es una Herramienta de Extracción de Datos basada Cloud que ayuda a miles de desarrolladores a obtener datos valiosos. Su herramienta de scraping visual de código abierto permite a los usuarios raspar sitios web sin ningún conocimiento de programación.

Scrapinghub utiliza Crawlera, un rotador de proxy inteligente que admite eludir las contramedidas de robots para rastrear fácilmente sitios enormes o protegidos por robot. Permite a los usuarios rastrear desde múltiples direcciones IP y ubicaciones sin la molestia de la administración de proxy a través de una simple API HTTP.

Scrapinghub convierte toda la página web en contenido organizado. Su equipo de expertos está disponible para obtener ayuda en caso de que su generador de rastreo no pueda cumplir con sus requisitos

10. Dexi.io

Como web scraping basado en navegador, Dexi.io te permite scrapear datos basados en su navegador desde cualquier sitio web y proporcionar tres tipos de robots para que puedas crear una tarea de scraping: extractor, rastreador y tuberías.

El software gratuito proporciona servidores proxy web anónimos para tu web scraping y tus datos extraídos se alojarán en los servidores de Dexi.io durante dos semanas antes de que se archiven los datos, o puedes exportar directamente los datos extraídos a archivos JSON o CSV. Ofrece servicios pagos para satisfacer tus necesidades de obtener datos en tiempo real.

11. Webhose.io

Webhose.io permite a los usuarios obtener recursos en línea en un formato ordenado de todo el mundo y obtener datos en tiempo real de ellos. Este web crawler te permite rastrear datos y extraer palabras clave en muchos idiomas diferentes utilizando múltiples filtros que cubren una amplia gama de fuentes

Y puedes guardar los datos raspados en formatos XML, JSON y RSS. Y los usuarios pueden acceder a los datos del historial desde su Archivo. Además, webhose.io admite como máximo 80 idiomas con sus resultados de crawling de datos. Y los usuarios pueden indexar y buscar fácilmente los datos estructurados rastreados por Webhose.io.

En general, Webhose.io podría satisfacer los requisitos elementales de web scraping de los usuarios.

12. Import. io

Los usuarios pueden formar sus propios conjuntos de datos simplemente importando los datos de una página web en particular y exportando los datos a CSV.

Puede scrapear fácilmente miles de páginas web en minutos sin escribir una sola línea de código y crear más de 1000 API en función de sus requisitos. Las API públicas han proporcionado capacidades potentes y flexibles, controla mediante programación Import.io para acceder automáticamente a los datos, Import.io ha facilitado el rastreo integrando datos web en su propia aplicación o sitio web con solo unos pocos clics.

Para satisfacer mejor los requisitos de rastreo de los usuarios, también ofrece una aplicación gratuita para Windows, Mac OS X y Linux para construir extractores y rastreadores de datos, descargar datos y sincronizarlos con la cuenta en línea. Además, los usuarios pueden programar tareas de rastreo semanalmente, diariamente o por hora.

13. 80legs

80legs es una poderosa herramienta de web crawling que se puede configurar según los requisitos personalizados. Admite la obtención de grandes cantidades de datos junto con la opción de descargar los datos extraídos al instante. 80legs proporciona un rastreo web de alto rendimiento que funciona rápidamente y obtiene los datos requeridos en solo segundos.

80legs es utilizado por una amplia variedad de empresas. Cualquier empresa que necesite datos extraídos de la web puede usar 80legs para sus necesidades.

14. Spinn3r

Spinn3r te permite obtener datos completos de blogs, noticias y sitios de redes sociales y RSS y ATOM. Spinn3r se distribuye con un firehouse API que gestiona el 95% del trabajo de indexación. Ofrece protección avanzada contra spam, que elimina spam y los usos inapropiados del lenguaje, mejorando así la seguridad de los datos.

Spinn3r indexa contenido similar a Google y guarda los datos extraídos en archivos JSON. El web scraper escanea constantemente la web y encuentra actualizaciones de múltiples fuentes para obtener publicaciones en tiempo real. Su consola de administración te permite controlar los scraping y la búsqueda de texto completo permite realizar consultas complejas sobre datos sin procesar.

15. Content Grabber

Content Grabber es un software de web crawler dirigido a empresas. Te permite crear agentes de rastreo web independientes. Puedes extraer contenido de casi cualquier sitio web y guardarlo como datos estructurados en el formato que elijes, incluidos los informes de Excel, XML, CSV y la mayoría de las bases de datos.

Es más adecuado para personas con habilidades avanzadas de programación, ya que proporciona muchas potentes de edición de guiones y depuración de interfaz para aquellos que lo necesitan. Los usuarios pueden usar C # o VB.NET para depurar o escribir scripts para controlar la programación del proceso de scraping. Por ejemplo, Content Grabber puede integrarse con Visual Studio 2013 para la edición de secuencias de comandos, la depuración y la prueba de unidad más potentes para un rastreador personalizado avanzado y discreto basado en las necesidades particulares de los usuarios.

16. Helium Scraper

Helium Scraper es un software visual de datos web scraping que funciona bastante bien cuando la asociación entre elementos es pequeña. No es codificación, no es configuración. Y los usuarios pueden obtener acceso a plantillas en línea basadas en diversas necesidades de web scraping.

Básicamente, podría satisfacer las necesidades de web scraping de los usuarios dentro de un nivel elemental.

17. UiPath

UiPath es un software robótico de automatización de procesos para capturar automáticamente una web. Puede capturar automáticamente datos web y de escritorio de la mayoría de las aplicaciones de terceros. Si lo ejecutas en Windows, puedes instalar el software de automatización de proceso. Uipath puede extraer tablas y datos basados en patrones en múltiples páginas web.

Uipath proporciona herramientas incorporados para un mayor web scraping. Este método es muy efectivo cuando se trata de interfaces de usuario complejas. Screen Scraping Tool puede manejar elementos de texto individuales, grupos de texto y bloques de texto, como la extracción de datos en formato de tabla.

Además, no se necesita programación para crear agentes web inteligentes, pero el .NET hacker dentro de ti tendrá un control completo sobre los datos.

18. Scrape.it

Scrape.it es un software node.js de web scraping. Es una herramienta de extracción de datos web basada en la nube. Está diseñado para aquellos con habilidades avanzadas de programación, ya que ofrece paquetes públicos y privados para descubrir, reutilizar, actualizar y compartir código con millones de desarrolladores en todo el mundo. Su potente integración te ayudará a crear un rastreador personalizado según tus necesidades.

19. WebHarvy

WebHarvy es un software de web scraping de apuntar y hacer clic. Está diseñado para no programadores. WebHarvy puede scrapear automáticamente Texto, Imágenes, URL y Correos Electrónicos de sitios web, y guardar el contenido raspado en varios formatos. También proporciona un programador incorporado y soporte proxy que permite el rastreo anónimo y evita que el software de web crawler sea bloqueado por servidores web, tiene la opción de acceder a sitios web objetivo a través de servidores proxy o VPN.

Los usuarios pueden guardar los datos extraídos de las páginas web en una variedad de formatos. La versión actual de WebHarvy Web Scraper te permite exportar los datos raspados como un archivo XML, CSV, JSON o TSV. Los usuarios también pueden exportar los datos raspados a una base de datos SQL.

20. ProWebScraper

ProWebScraper es un web scraper automatizado diseñado para la extracción de contenido web a escala empresarial que necesita una solución a escala empresarial. Los usuarios comerciales pueden crear fácilmente agentes de extracción en tan solo unos minutos, sin ninguna programación. La API REST de Prowebscraper puede extraer datos de páginas web para ofrecer respuestas instantáneas en segundos.

Los usuarios pueden crear fácilmente agentes de extracción simplemente apuntando y haciendo clic.

Conclusión

Este artículo primero dio una idea sobre Web Scraping en general. Luego enumeró 20 de las mejores herramientas de raspado web del mercado, considerando una serie de factores. La principal conclusión de este artículo, por lo tanto, es que al final, un usuario debe elegir las herramientas de raspado web que se adapten a sus necesidades.

Deseo que este artículo te ayude a tomar una decisión informada con respecto a la mejor herramienta de raspado web para tu negocio o trabajo.

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Hi there -- we're excited to meet you!

Our Company: 

We're a rapidly growing outdoor sporting goods and clothing company. We design, manufacture, market and sell our own brands on Amazon.com. We are a market leader in many product categories such as sleeping bags, cots, ski gloves, ski goggles, running gloves, stand up paddles, surfing accessories, headwear and more. 

Responsibilities:

We’re looking for a highly quantitative, analytical, curious and proactive person to join as our Director of Operations. If those adjectives describe you, and you love going outdoors, this might be a dream job for you. 

  You will report directly to the CEO/Founder, a Stanford alum who started this as a surf gear side business in 2011 while working at Google. 

We have treasure troves of data, but we just aren’t using it. As our Director of Operations, you will be responsible for managing revenues and profit, identifying sales issues, managing inventory and providing actionable business recommendations based on our data.  Here are several specific ongoing projects you will work on: 

Manage profitability across our product lines -- make data-driven decisions on product line expansions and sunsetting (ending) of unsuccessful products

Setup systems to track profitability by SKU — we currently have subscriptions with Sellics and Chart.io, but we still don’t have a full picture of our profitability by SKU

Identify new product opportunities based on market size, competition, and adjacency to our existing products and manufacturers

Track our product’s keyword rankings on Amazon to understand which searches are driving the most revenue for us on Amazon

Identify issues before they turn into larger problems. Example: if we have a product whose sales have dropped 25% Y/Y. Why is this happening? Is this a traffic or conversion rate issue?

Understand our customer demographics and what customers are comparing our products to — Amazon provides this data to us.

Communicating issues with the Sales & Marketing & Creative teams to solve issues. Example: based on the competition, here are a few ideas on how we can improve conversion rates on this product

Optimize conversion rates and traffic across our hundreds of our products on Amazon in a scalable way -- optimization involves product images, videos, title, copywriting and more — anything that a consumer sees on Amazon.com

Manage our Inventory Planning & Logistics and improve our warehouse operations with our 3PL: how much to order, when to ship our freight, how much to store at our 3PL (3rd party warehouse). We have over 1000 SKUs (including colors and sizes), so this is no easy task. We have a subscription to inventory-planner.com, but rarely use this tool.

Build our marketing calendar -- know when to promote/discount our products (this will be based upon inventory levels and our bets)

Understand how the Amazon ranking algorithm works — the algorithm is an ever-changing black box. However, a basic understanding is necessary to understand how to maximize conversion rates

Eventually, provided things go well, this could become more of a General Manager role in 1-2 years

Your Experience at the Company: 

You will be the right-hand man/woman of the CEO

You will have complete access to everything at the company, including financials, sales performance, and more

You must be okay with morning or late evening calls to talk with the team in the Philippines or on the US East Coast

You will meet with your teammates 4 times per year in the Philippines. Here's our company structure: 15 in PH, 3 in the US (including CEO), 2 in China 

Creative team (4): graphic design, product/packaging design, photo shoots, video shoot speccing 

Sales & Marketing (5): listing optimization, keyword research, PPC advertising, display advertising, copywriting, SEO partnerships 

Branding & Marketing (1): high-level branding, guidance on product listings 

Customer Happiness (3): customer support, handwritten letters to customers 

Development (2): automating processes, scraping data, providing data-driven insights 

Business Analyst (1): sales analysis, inventory management 

China team (2): sourcing, manufacturing, quality control, vendor management, logistics

Traits / Experience We're Looking for: 

Extremely proactive and communicative

Extremely quantitative and analytical: amazing with Excel, possible experience with other data analysis tools like Tableau or Chart.io 

Curious and eager to learn 

Friendly and personable, yet firm and able to keep others accountable 

Operations experience a multi-million dollar revenue business 

Experience in Amazon, e-commerce, digital marketing (SEO/SEM), manufacturing/supply chain, operations is a huge plus 

Knowledge of Agile/Scrum and Entrepreneurial Operating System (EOS) as those are the systems we use 

Hard working: Must be willing and able to work up to 60 hours per week occasionally

Travel: will travel to the Philippines 4x per year for our quarterly Get Togethers. You might also travel to Puerto Rico and locations across the US to attend conferences. You may also take trips to China to visit/understand our manufacturing and supply chain operations

Salary & Benefits: 

Pay: $5000 or more USD per month depending on experience and skills

Employer-reimbursed health insurance up to $200 per month

21 days paid time off

Remote work, no commute: work from the comfort of your home, local coffee shop or resort.   Fast, reliable internet is an absolute must.

References: 3-5 necessary

Interested? If you're interested in this job, please send us the following information:

Your favorite business books and podcasts 

Your favorite outdoors activity/sport and your most memorable outdoors trip 

How we can improve our existing listings on Amazon based on e-commerce conversion rate best practices -- see company URL 

Your experiences (written, video, audio) about how your past experiences have prepared you for the responsibilities of this job 

Resume including 3-5 references

We look forward to hearing from you!

To apply: james@evergreensupplypr.com

from We Work Remotely: Remote jobs in design, programming, marketing and more https://ift.tt/2PSSbMo from Work From Home YouTuber Job Board Blog https://ift.tt/2sJEQOU

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I Will Do Clean Attractive Resume, CV, Cover Letter Design with 12 hours

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[fionas-french-challenge-blog]

LLC - Week 2 Log

The second week of my LLC has drawn to a close! This week I successfully completed the minimum number of tasks that I have set for myself.

Weekly Log:

This week, I well-surpassed the 4+ 30 minute or longer time requirement for French listening activities. I listened to approximately 5 hours of music with a focus on songs by the artist ‘Stromae’ that I had added to a specific ‘French LLC’ playlist. I noticed that I have been able to pick up many more of the words of these songs and to infer meaning of each song. I used the online dictionary ‘WordReference’ in order to add to my vocabulary and build upon my understanding.

I also watched a 1.75hr long French Netflix movie titled ‘The Climb’.

I scraped by my daily requirement for DuoLingo of 50XP per day.

On Instagram, I have already noticed that I am more comfortable reading through the ‘user-friendly’ images uploaded by French language learning accounts. I interacted once in the comments to answer a language learning exercise posed by an image. As I mentioned last week, I would like to interact more often with these blogs.

Evaluation:

Corrections: None!

Class conversation:

L1: Spoke 4 times in English; 4 times in French to teacher.

L2: Spoke 3 times in English; 5 times in French to teacher.

My pronunciation of the sounds: eu, ou, eau etc. once again received focus, however I received feedback from my teacher who confirmed that I have improved in this area from last week.

Assessment results:

This week I received my marks for the first assessment item in FREN2010 which was an oral exam involving an unscripted group conversation. I received a mark of 79% which is falls within the bracket of a 6, and this assessment item counts for 10% of my final grade. This result indicates that I am on track with my language learning according the goals set-out within my LLC.

Written summary for movie ‘The Climb’:

La semaine derniére, j’ai regardé un film qui s’appelle ‘The Climb’. Dans cette film, le protagonist était un jeune Sénégalais homme qui s’appelle Ahmed Sylla. Ahmed habitait dans une ville en France et vient de la banlieue. Au début du film, Ahmed a tombé amoureux d’une jeune jolie femme qui était hésitant sortir avec lui. Donc, gagner son amour, Ahmed a decidé monter la montagne Everest. C’est un grand voyage mais il était très déterminé. Il y a l’air léger et chaud au film est j’ai le joui beaucoup. J’aimeriez monter Everest parce que j’aime faire de la randonnée et la nature. Je suis active mais je sais que ça serait très difficile.

Once again, I used the following website to evaluate my paragraph: https://bonpatron.com/en/

Some of the mistakes that I have made in this paragraph are a little embarrassing to me as I believe that it is grammar I should already be incredibly confident with, but it is good to know which elements of grammar I need to work on.

Fortnightly CEFRL Test Results:

Test taken on 14/04/19

Result: A2

This result is expected as it has only been 2 weeks since I last took the test, and I should not be moving into a low B1 level until the end of the semester of my university course FREN2010.

Reflection and LLC Developments :

After reflecting upon my experience with the LLC, I would like to develop my challenge in two ways.

The first alteration is to split up the activity/goal of listening to/watching 4+ 30 minute of longer French listening activities into each week. After a fortnight of participating within my LLC, it is clear to me that I should split up the ‘listening’ activities from ‘video-watching’ activities. This is because I found myself listening to French music in my leisure time with no follow-up activities, while the watching of videos and movies in French required the more strenuous and specific activity of completing a paragraph of 100 words in French on the content watched. I will alter my LLC so that I have a goal of listening to 3 hours of French music or podcasts and 2 hours of French visual media such as YouTube or Netflix.

The second alteration is to slightly change how I record and therefore evaluate my in-class interactions. I was previously recording only how many times I spoke in English, however believe that recording this single piece of data each lesson provides and incomplete picture of my interactions. I will alter my LLC so that all interactions with my teacher in both English and French are recorded.

[dianabcu-blog]

The idea of seeing music

(Artist & Designer mini brief Digging Deeper)

For my designer brief I am making work related to music (Purity is a name synonymous with music). With mind mapping I made word association with pulse, beat, sound wave and audio waveform. That is where my research on sound began. I have a tiny bit of knowledge on audio forms from my secondary school (using Adobe Audition), but I pretty much can’t remember any of it (except how to remove white noise from a video). 

What is sound

Sound is not a thing in itself but a property of the medium through which it is travelling. It is produced when something vibrates - cause of medium around it to vibrate.

Jerobeam Fenderson - Oscilloscope Music

When I was looking at different waveforms I came across oscilloscope music.  An oscilloscope uses a two-axis graph to give a visual representation of a waveform over time, with the horizontal axis representing time and the vertical axis representing the amplitude. In music production, oscilloscopes are commonly used to assist dynamics processing and sound synthesis. 

Jerobeam Fenderson creates audiovisual music where the images are created by soundwaves on an analog oscilloscope. With a background in electronics and audio engineering, Jerobeam began experimenting with technical approaches to composition around 2012, and has since developed his own form of expression with Oscilloscope Music. The first track of its kind was “Nuclear Black Noise”, a composition consisting entirely of sine waves, and it was followed by ever-evolving audio-visual live shows, and an album in 2016. 

The idea of “seeing music” is hard to grasp, but Jerobeam makes what sounds impossible, very real. He forms 2D and 3D objects with minimalistic green lines from abstract lissajous shapes that mutate into complex vector graphics, using the left and right audio channels as X and Y coordinates.

Oscilloscope Music turns the transformation of abstract concepts into something tangible that works on an emotional level outside of its technical context. Using this approach, math doesn’t seem like the dry concept it is often seen as, but rather a key to the fundamental principles of nature.

Here is a link to a song from his album Oscilloscope Music: https://bit.ly/2FsVveA

Reasearching further I found a software (Oscilloscope) made for looking at music (by playing any mp3 file) based on osilloscope’s coordinates X and Y. In the software you have options to change volume, time stretch, scale, stroke weight, hue, intensity and after glow. Here are a few screenshots of when I used it:

I also found out there is a program called OsciStudio that converts 3d shapes and animations to sounds (through obj files or blender addons). And my plan was to try and make my own Osci Music with a simple 3d shape I would make in Blender, but I figured out you can’t export video files in the software yet, so I’ll just wait for an upgrade. 

In retrospect I find his work extremely visually pleasing. It is what I believe how people with synesthesia must feel like. The combination of sound and the simple green lines take you on a serious trip to wherever Oscillioscope music comes from. I don’t care if not everyone agrees with me, but what Jerobeam is creating is truly a piece of magic. The animation feels like it’s taking you through a portal to another dimension, compelling to look at and impossible to look away. 

It seems a bit weird how music has progressed. I’m sure some people would say “everything is music to kids these days”. But if you look at it from a different perspective, music has evolved into something so much more than just lyrics, melody or beats. It’s the new era of music and I’m loving it. Experimentation with sound is the only way to create something we haven’t heard before. 

And then there’s Jerobeam who goes a leap further from other electronic music artists and makes us see what we hear. How crazy of a concept would that have been ages ago? I’m waiting for him to make me smell music next. 

KEY THEMES

Music, animation, visuals, soundwaves

WORD ASSOCIATION

Music: singing, dancing, melody, instrumental, electronic, compose, jazz, pop, rock, disco, metal, dj, orchestra, duo, rap, festival, ska, lyrics, mtv, youtube, rhythm, choir, vocalist, tune, recording, radio, singer, album, band, performer, concert, mainstream, guitarist, pianist

Animation: animator, video, anime, cartoon, 3d, 2d, stop motion, motion, dragonframe, photography, flip book, storytelling, story book, screenplay, frame, film, modelling, graphical, realistic, digital

Visuals: audio, video, film, animation, graphic, performance, dance, sing, choreography, artwork, lighting, photography, multimedia, camera, screen

Soundwaves: air pressure, time, compression, period, amplitude, frequency, pitch, wavelenght, graphic, audacity, axis, noise, words, vibration, medium, rise time, time interval, distortion

RELATED ARTICLES/ARTWORKS

-  Project Entercourse Of The New Age

Named after one of David Chastel’s and Yann’s favourite tracks by Glenn Crocker released in 1996, Entercourse Of The New Age (EOTNA) pays tribute to the genre of electronic music. In 2016 they had the opportuninty to have an exhibition space in the centre of Paris. They invited contemporary artists to design the iconography of old records that have moved the history of electronic music but didn’t benefit from any artwork since their release. EOTNA held its first exhibition in January 2017 and, to date, has worked with a total of 26 artists to reimagine beloved tracks with contemporary visuals. The idea of the project was not to position themselves within a specific artistic scene, but to show, on the contrary, very different techniques and styles.

- Daniel Avery: Visible Gravity

A 48 minute ambient track available for free download at XLR8R. “An ode to those early and quiet moments in a night where the strobe light is still only a hopeful glimmer beyond the horizon, a sign of the euphoria to follow.”

AN electronic track combined with an animation to go alongside Visible Gravity, directed by Matt&Dan. They imported the mix into Ableton and used an Oscilloscope to view the waveforms. They then added various plug-ins which let them manipulate the frequencies which gave them a live visual representation in a totally new way to how they have created previous artworks.

-  Dave Gaskarth: Quadripoints

Both from Birmingham but now based in London, Dave Gaskarth and Lee Gamble are long-term collaborators, with Dave working on most of Lee’s live visuals and videos since 2012. 

Much of this work takes the shape of computer-generated 3D environments that use satellite imaging and other mapping date to create colour and texture. For 2017 track Quadripoints, for example, Dave developed a mountainous realm inhabited by spheres covered with satellite imagery pulled from different nation states. The aggressive balls jostle for top position, almost becoming an anthropomorphic being. For ongoing project Foldings, the duo has taken the idea and created site-specific segments influenced by the location of each gig. Whereas Lee sources field recordings of the specific city or records audio on arrival to weave around his tracks, Dave scrapes data, satellite photography and other mapping materials to form audio-reactive visuals which play over three screens.

-  Michael Satter

Since 2009 the designer has created artworks for labels Live At Robert Johnson, Hivern Discs, Die Orakel and Rivotan Records. He makes  simplistic designs that incorporate print, photography and illustration. On the surface their design appears simple, but the exemplary layouts are far from simple to create.

He has a long-time passion for electronic music, his cover artworks reflect the identity of the artist, and reference to the tracks on the record.

HOW THE ARTWORK RELATES TO HISTORY

Oscilloscope, previously called an oscillograph is an electronic instrument made for maintenance of electronic equipment and laboratory work. General Radio was the first to manufacture an oscilloscope that was usable outside a laboratory setting. After WW2 Heathkit Corporation released first oscilloscope kit made from electronic parts.

The first electronic devices for performing music were developed at the end of the 19th century, and shortly afterward Italian futurists explored sounds that had not been considered musical. By the 1940s, magnetic audio tape allowed musicians to tape sounds and then modify them by changing the tape speed or direction, leading to the development of electroacoustic tape music in the 1940s, in Egypt and France. In the 1970s, electronic music began having a significant influence on popular music, with the adoption of polyphonic synthesizers, electronic drums, drum machines, and turntables, through the genres such as disco, krautrock, new wave, synth-pop, hip hop and EDM.

Experimental music became prominent in the mid-20th century, particularly in Europe and North America. It is an improvised music without any rules, usually musicians make an effort to avoid cliches (recognizable genres).

BOOKS THAT RELATE TO MY KEYWORDS

- Experimental Music Since 1970 by Jennie Gottschalk

-  Listening Through the Noise by DeMers Joanna

-  Silence: Lectures and Writings by John Cage

-  Boring Formless Nonsense by Eldritch Priest

- Technical Drawing with Engineering Graphics 

SUMMARY

As I continue to work on my designer brief I will think about ways to manipulate waveforms and find my inspiration in artists that I have researched. 

Looking at artists that have taken the term ‘art’ and made it be literally anything is something that I look forward to exploring more. What’s so interesting about experimental art is how artists use different techniques and ideas that no one has seen before. What comes to mind is the movie The Matrix that did just that; exposed mainstream audience. 

To me it’s really easy to make design that is common, but a huge struggle to do the opposite (probably because that’s all I’ve been doing so far). How to not stay in the norm and just do what I know how to do is something I need to work on.

[thelmasirby32]

How to become a master of featured snippets

30-second summary:

Featured snippets are here to stay, so it’s time for you to adapt.

65% of organic Google searches now include at least one rich snippet.

Ranking for them isn’t as difficult as you think.

There is a structured and repeatable process for gaining those positions.

Ahref’s Mark Webster shows you how to analyze and create featured snippets.

The trick is being able to get featured snippets is using a structured process. One that you can repeat over and over again. Which is exactly what we show you how to do in this blog post. But just before we go any further into how to do that, let’s do a quick brief on featured snippets.

What is a featured snippet?

Featured snippets are the images, content summaries, answers, widgets, or other data that Google displays in their SERPs in addition to traditional web results.

From Google’s point of view, these provide their “customers” with better user experience – they get the information they need without ever needing to actually go to a website. And an improved revenue model for them – paid ads are how Google keeps the lights on.

But it’s a different story for website owners and bloggers. Featured snippets can feel like a mammoth task. But you don’t have to feel that way.

Why are featured snippets important?

There’s a straightforward answer to this – Google has increased its use of featured snippets in the last 12 months.

This is a trend that does not look set to change anytime soon.

If anything, Google will double-down on this approach, treading the fine line between scraping your content (without paying for it) and rewarding you with enough traffic to continue publishing.

There was even a time when you could grab the featured snippet and the numero uno ranking for a given keyword.

So you could effectively rank for position zero and position one. Which obviously drove insane amounts of traffic.

But then Google went and changed its algorithm to terminate “spot zero” rankings, and SEOs went back to the drawing board. The point we’re making is how your visitors interact with your website has changed dramatically.

But this also provides you with an opportunity.

As you probably already know, grabbing the first position result in Google SERPs will give you a CTR of at least 31.7% for a given search query. That’s why SEOs push so hard to dominate that particular slot in the organic SERPs.

But what if we told you that a competing featured snippet gets way more clicks you should get. There is hope, though.

Because around 60% of all featured snippets are owned by sites that don’t hold position one or that keyword. Basically, as long as you rank somewhere on page one it’s simply a matter of reverse engineering how to grab the featured snippet for that result. And yes, we’ve got you covered.

Analyzing the competition

As has been the case with most aspects of SEO over the last few years you should analyze what your competitors are doing.

So, the Authority Hacker team analyzed over one million search results for commonalities in the “how” and “why” of rich snippets.

Our criteria were that we included all types of featured snippets, including YouTube, People Also Ask, Knowledge cards, and more. And we also only analyzed phrases that had at least 1,000 searches per month.

What we found is that anywhere up to 65% of all search results included a snippet of some kind.

Basically, if you’re not optimizing for these rich/featured snippets, I can pretty much guarantee that your competitors are.

Finding featured snippet gaps

Let’s say you rank on page one for your keyword of choice. It typically takes a lot of links and a lot of work to kick down the door to position one. But snagging a featured snippet can help you leapfrog your competitors.

Quick reminder: You have to already rank somewhere on page one for our tactic to work.

With that in mind, head on over to Ahrefs.

Click on ‘Site Explorer’, paste in the URL of your website, click the search icon, and then click on ‘Organic Keywords’.

Now, filter the results so you only see what pages already rank on the first page of the SERPs.

And the final step is to look for the gaps i.e. keywords you already rank for but where you don’t own the featured snippet.

To do that click on ‘SERP Features’ and select ‘Featured snippet” and ‘Apply’.

Here’s what the results look like:

Now you know exactly what keyword phrases to target for your next featured snippet conquest.

And yes, you could do all of this manually.

But that’s entirely up to you – Ahrefs is our tool of choice when it comes to this stuff.

How do you get featured snippets?

So now we get to the cool stuff – reverse-engineering the SERPs to snag those premium organic placements.

Remember those commonalities we mentioned a little while back?

Well, what also became apparent during our research is that Google isn’t quite as clever as they’d like you to think they are.

All the talk about using AI and NLP (Natural Language Processing) to determine search results well it’s basically smoke and mirrors.

It all sounds compelling but it’s still basically fluff. Instead, the process they appear to use is far more mechanical in nature.

Our data indicate that they’re using how content is structured and semantic analysis to figure out what should appear as a featured snippet. Which all sounds very complicated, but it isn’t.

What we found is that Google follows some very basic rules when choosing which page to take a featured snippet from.

In effect, they would appear to be giving preference to pages that structure their data in a very specific way:

“How to”, “What is” or “Best x vs. y” queries are your best targets

You should wrap the original search query, verbatim, in an H2 or H3 tag

You should also include an image within your “answer”

You should write 50-ish words (no more than 300 characters) to answer the query

What you are effectively doing here is over-optimizing for the search query.

So it’s kinda like being back in 2004, for now.

Some will view this tactic as “keyword” stuffing, which I think is maybe a little hyperbolic.

I see it as simply structuring your data in a way that makes Google pay attention to your page.

We’re simply providing you with the information we use to dominate whatever featured snippet we want to.

What you do with that information is entirely up to you.

But just imagine the positive impact this could have on an already successful affiliate site?

Are there any downsides?

As with any SEO “hack”, there is always the likelihood that Google will update its algorithm again, changing the selection criteria.

So – in several month’s time – you might have to adjust your approach to retain your position zero placements.

But the argument I’d make here is that in the meantime you’ll miss out on a lot of free traffic.

Something which your competitors will be more than happy to take the risk on.

For me, this is an opportunity to take advantage of.

And if things change, well I’ll see that as “Que sera sera”.

The post How to become a master of featured snippets appeared first on Search Engine Watch.

from Digital Marketing News https://www.searchenginewatch.com/2020/09/03/how-to-become-a-master-of-featured-snippets/

[kdulgar-blog]

I Will Do Clean Attractive Resume, CV, Cover Letter Design with 12 hours

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Best Way to Learn Python

Hello fellows, have you ever confused that whether you should learn python or not. Maybe you decided to learn python but didn’t know where to start?

So in this article we’ll guide you about the best way to learn Python.

Why to learn python?

There can be many reasons that can make you start to learn Python. Some of them are as follows:

Easy syntax: Python syntax is very easy to learn than any other programming language out there. If you’re an experienced programmer and new to python you’ll amazed after seeing the easiness of writing code in python. Even if you’re new to programming you can start programming with Python right away.

Readability: In most other programming languages, we use indentation only to help make the code look pretty, but in Python it is required. Whether you’re inside in a loop or declaring some functions you have shift your block of code with certain amount of spaces to indicate what block of code a statement belongs too, which increases readability of a code written in Python.

High level language: Python looks more like a readable, human language than like a low-level  language, which gives you ability to program at faster rate than a low-level language will allow you.

Object oriented programming language: Python’s support for object-oriented programming in one of its greatest benefits to new programmers because they will be encountering the same concepts and terminology in their work but python also support structured programming fully. So you can code in any style you want.

Free and cross-platform: Python is both free and open source. It runs on all major operating systems like Windows, Linux and Mac OS X.

Large number of standard libraries: Python contains over than 300 standard library modules which contain modules and classes for a wide variety of programming tasks, which will help us to reduce the length of our code and provide easiness to write code.

Python is everywhere: Yeah you read it right, Python is everywhere. It can be used in server automation. It have several great libraries for building web apps like flask, Django. It is heavily being used in scientific computing, it has several libraries dedicated to specific area in scientific computing like NumPy, SciPy, EarthPy and AstroPy.  Python is also used in Game development using the library PyGame which support sound, mouse and keyboard interaction and more. The popular 3D application Maya supports Python. If you want to develop desktop application, then Python comes up with the tkinter module built-in. The companies like Instagram, Amazon, Spotify, Facebook  and many other using Python language heavily.

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What is the Best Way to Learn Python?

Before starting, you’ve to decide that which version of Python you’re going to learn Python 2 or Python 3. To see which one is best to start with please open  https://www.thecrazyprogrammer.com/2018/01/difference-python-2-3.html

But if you’re new to Python then we recommend you to start with Python 3 because it is the future of Python.

Get Everything Ready

Before starting with Python you’ve to make an environment where you can write and execute python scripts. To write scripts we can use any text editor like notepad, vim editor, sublime etc. and in order to run the programs, we can use command prompt or terminal but your system should have Python installed in it. If you’re using a Linux distribution like Ubuntu, Fedora, Kali or you are a mac user then you doesn’t have to install Python externally, because most of the Linux based operating systems comes with Python pre-installed in it.

But if you’re using a PC (windows based) then the process of installing Python 3 will be same as we install any other software. To download the Python 3 visit here https://www.python.org/downloads/windows/ and during installation, don’t forget to check the checkbox showing “add python to path”, so you’ll be able to access the Python in command prompt.

However we can also use an IDE where we can write and execute the programs at one place. To check which  IDE you should use, please visit https://www.thecrazyprogrammer.com/2018/03/best-python-ides.html

Python Basics

First of all, we’ll talk about the basics of Python. In basics, the topics you’ve to cover are as follows:

Introduction to Python

Python Syntax

Strings and Console Output

Conditionals and Control Flow

Functions

List & Dictionaries

Loops

Introduction to Python

File input and output

Free Courses:

To learn these basics concepts you can take this free online course https://www.codecademy.com/learn/learn-python.

Or you can take this free course from Udacity https://in.udacity.com/course/introduction-to-python–ud1110

Or you can take this free course from Udemy https://www.udemy.com/pythonforbeginnersintro/

Even you doesn’t touch programming before, these courses will help you to teach you all the basics you need to know.

Best Books:

If you prefer reading more than watching videos then these books will help you to learn the basics of Python –

Python Programming for absolute beginners: https://www.amazon.com/Python-Programming-Absolute-Beginner-3rd/dp/1435455002/

Learning Python: https://www.amazon.com/Learning-Python-5th-Mark-Lutz/dp/1449355730/

Free Youtube Videos:

Here are some of the best Youtube playlists that can help you learn Python easily-

Python Tutorials for beginners (ProgrammingKnowledge): https://www.youtube.com/watch?v=41qgdwd3zAg&list=PLS1QulWo1RIaJECMeUT4LFwJ-ghgoSH6n

Python programming Tutorials (thenewboston): https://www.youtube.com/watch?v=HBxCHonP6Ro&list=PL6gx4Cwl9DGAcbMi1sH6oAMk4JHw91mC_

After you learn the basics. Now you’ve to decide what you want to do next. Because Python doesn’t have a specific area. Things you can build with Python are as follows:

Websites:��If you’re interested in making websites, then try Django Web Framework, Pyramid, Flask and learn it.

Games: If you’re interested in making games, then try You can make games with graphics and sounds.

Desktop and Mobile application: Kivy, Tkinter, wxWidgets, pyqt, GTK+ or Pyside are used to make multi-touch application for  desktop and mobile platforms.

Web scraping: Beautifulsoup is used for gathering information from websites.

Scientific and numeric computing: SciPy, Pandas, Ipython can be used for scientific computing and data analysis.

This is not enough, there are a lot of other things that one can do with Python. But for now we’ll see how to learn the above mentioned topics in Python. Lets see them one by one.

Learn Making Websites with Python

Paid Courses:

Here are the list of courses where you can learn Python Web Development.

1. Complete Python Web Course: It is a paid course offered by Udemy, where you’ll learn building Web application with Python and Flask. In this course you’ll also build 8 web application for better practice.

Link: https://www.udemy.com/the-complete-python-web-course-learn-by-building-8-apps/

2. The Ultimate Beginner’s Guide to Django: Learn how to make and publish websites with Django and Python. They will teach you to make three complete apps and publish one online. It is also a paid course by Udemy.

Link: https://www.udemy.com/the-ultimate-beginners-guide-to-django-python-web-dev-website/

Free Youtube Videos:

Here is the list of some of the best YouTube playlists that can help you to lean Python web development for free.

1. Django Tutorials for Beginners (By thenewboston): So far in this playlist, you will learn the very basics of Django in a very friendly voice of Bucky Roberts.

Link: https://www.youtube.com/watch?v=qgGIqRFvFFk&list=PL6gx4Cwl9DGBlmzzFcLgDhKTTfNLfX1IK

2. Django Tutorials (By Max Goodridge): https://www.youtube.com/watch?list=PLw02n0FEB3E3VSHjyYMcFadtQORvl1Ssj&v=Fc2O3_2kax8

After you’ve completed these courses you’ll get the basic idea how to make websites or web applications using Python. Then start a personal major project and complete it.

Learn Making Games with Python

If you want to develop games with Python you’re gonna end-up with PyGame. To learn how to make  games with PyGame  follow these courses.

1. Making games with Python & Pygame (By AI Sweigart)– its a 365 pages PDF that will help you to make mini games using PyGame. This pdf is completely free out there. You can download it from here https://inventwithpython.com/makinggames.pdf

But you can’t learn from a book as fast as you can learn with a teacher or from video tutorials. So here is the list of some of the YouTube playlists for games development using PyGame-

2. PyGame – Python Game development (By thenewboston): This video series will teach you all the basics of PyGame that you need.

Link: https://www.youtube.com/watch?v=ujOTNg17LjI&list=PLQVvvaa0QuDdLkP8MrOXLe_rKuf6r80KO

3. Master Python interactively with PyGame (By Udemy): If you have some money in your pocket to learn gaming in Python then it can be your best choice because after completing this course you’ll know all the basics of PyGame and how to use sounds and make your game interactive.

Link: https://www.udemy.com/master-python-interactively-with-pygame-ultimate-bootcamp/

Learn Making Mobile and Desktop Application with Python

As I mentioned above that we can make desktop or mobile application using Tkinter, GTK+, Qt, Kivy or wxWidgets. Here are some of the best courses that will help you to make GUI applicaion using Python.

Its highly recommend to take a paid course from udemy to learn GUI. However there are many free courses available out there but they aren’t teaching enough to make you an expert of GUI Development.

1. Learn Python GUI programming using Qt framework: This 12 hours course will teach you how to write your own complex desktop application. This course is about Python GUI programming and building GUI applications using Python and Qt framework.

Link: https://www.udemy.com/python-gui-programming/

2. Python GUI : From A-to-Z With 2 Final Projects: Learn How To Build A Powerfull GUI in Python programming Using Python And Tkinter.

Link:  https://www.udemy.com/python-with-tkinter-basics-advanced-build-2-projects-l/

3. Python Kivy The Full Guide: Learn How To Build A Powerful Android Applications and Games using Python And Kivy. It is also a paid course like above two.

Link: https://www.udemy.com/learn-kivy-from-scratch

So these were some of paid courses that will help you learn a lot. But if you don’t want to spend you single penny then here is some of the best books and YouTube playlists that can help you to learn GUI development using Python.

4. Python GUI with Tkinter (thenewboston): This playlist will help you learn the very basics of Tkinter like how to draw basic widgets like buttons, labels, dropdown menus, frames, checkbox, and many more.

Link: https://www.youtube.com/watch?v=RJB1Ek2Ko_Y&list=PL6gx4Cwl9DGBwibXFtPtflztSNPGuIB_d

5. Kivy application development (sentdex): As we know now that Kivy is used to make android application using Python. This YouTube play will help you to learn the basics of android application using Kivy.

Link: https://www.youtube.com/watch?v=CYNWK2GpwgA&list=PLQVvvaa0QuDe_l6XiJ40yGTEqIKugAdTy

6. PyQT Python GUI application development (sentdex): This playlist will help you to make desktop application using PyQT.

Link: https://www.youtube.com/watch?v=JBME1ZyHiP8&list=PLQVvvaa0QuDdVpDFNq4FwY9APZPGSUyR4

If you prefer reading more than watching then here is the list of books that  can help you.

7. Python – GUI Programming (Tkinter): This website (Tutorialspoint) will help you to understand each concept of Tkinter module. Whether you’re new or experienced with Tkinter, it can help you a lot and this is free of cost too. You can download the full course of Tkinter as PDF to learn offline.

Link: http://www.tutorialspoint.com/python/python_gui_programming.htm

Here are some of other resources that can help you.

8. PyQT Tutorial – https://www.tutorialspoint.com/pyqt/index.htm

9. wxPython Tutorial – https://www.tutorialspoint.com/wxpython/index.htm

Learn Web Scraping with Python

After searching a lot I found out the best course which can help you to lean web scraping is Web Scraping with Python: BeautifulSoup, Requests & Selenium by Udemy.  None of the youtube playlist can help you this much as this course will do. But this is a paid course and you have to spend some extra money then any other course mentioned above.

Link: https://www.udemy.com/web-scraping-with-python-beautifulsoup/

But again if you’re not willing to spend money then remember you have to practice a lot because without money you’re not gonna learn a lot from youtube playlists.

Here are some of the video links :

Intro to web scrapping with Python and Beautiful Soup: https://youtu.be/XQgXKtPSzUI

Python Tutorial: Web Scraping with BeautifulSoup and Requests – https://youtu.be/ng2o98k983

But still we recommend you to take Udemy paid course.

Learn  Scientific Computing with Python

The best way to learn scientific computing (NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more) in Python we recommend you to start with any video tutorials to get the basic idea how things work and then learn each  single module from a standard book. Because in Videos all the methods or properties of a module can’t be covered. That’s why we recommend you to learn with a Book.

Take this course from udemy first-

1. Python for Data Science and Machine Learning Bootcamp: It have 21 hours of lectures and easily explained.

Link: https://www.udemy.com/python-for-data-science-and-machine-learning-bootcamp/

Then purchase this book from amazon or from your nearest book store.

2. Scientific Computing with Python 3: https://www.amazon.in/Scientific-Computing-Python-Claus-Fuhrer/dp/1786463512

Believe me once you have completed the course and mastered each concept mentioned in this book, you can name your self as a data scientist.

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Rust Belt voters made Trump president. Now they want jobs

The United States is making more things than ever before.

Yes, you read that right. Manufacturing output is at an all-time high, according to one government statistic (others indicate it’s near a record).

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Evidence of the boom is visible when you drive around America’s muscle town: Detroit. The giant Ford (F), GM (GM)and Chrysler (FCAU) factories are buzzing to try to keep up with record levels of U.S. car sales. Yet a deep sense of unease is palpable in Michigan.

A lot of people are nervous. They see that U.S manufacturing has roared back, but the jobs — especially $30-an-hour jobs — have not. There’s a huge debate about why these jobs disappeared: Some blame robots and machines for replacing humans; others say the jobs went to Mexico, China and beyond.

“There’s kind of this quiet depression that’s going on,” says Matt Seely, the CEO of Quality Bending and Threading, a small manufacturing shop in Detroit. “People are OK, they’re getting by, but no one’s really in their happy place.”

Donald Trump promised Michigan good jobs. It’s a key reason why he won Michigan by 10,704 votes, the first Republican to carry the state since President George H. W. Bush in 1988. Now his supporters expect him to deliver.

“This is a manufacturing state. Like all of the states in the Rust Belt, these people are hurting. They want to work,” Seely told CNNMoney.

In his first major address to Congress this week, Trump proclaimed that “dying industries will come roaring back to life.” It’s exactly what Seely wanted to hear.

Related: NAFTA is ‘killing the American Dream,’ Michigan workers say

Matt Seely is the CEO of a small manufacturing company in Michigan. He volunteered for Trump’s campaign, the first time he’s ever done something like that.

From 17 employees to 5

Seely and his wife voted for Trump. They even volunteered on his campaign, the first time they ever felt motivated enough by a politician to do that. Seely, who wears a suit with a red pocket square, is a big believer in Trump’s “Buy American” movement. He thinks U.S. manufacturing can — and should — be even stronger than it is now.

His own shop is profitable these days, but not like it used to be. In the late 1990s and early 2000, he had 17 employees and “the phone was ringing” with orders for the specialty steel products his team makes.

Now he’s down to just five employees, a few of whom are college students. One is studying to be a dentist. To him, this machine job is temporary, not a place to build a career.

America has lost 5 million manufacturing jobs since 2000. Nearly 300,000 of those losses occurred in Michigan.

‘I didn’t think it would get this bad’

Half an hour north of Seely’s shop lies Sterling Heights, a big Detroit suburb where Jim and Peggy Stewart live. The Stewarts know what it’s like to scrape by. They lost their jobs and then their home in the Great Recession. In their 50s at the time with four kids at home, they set aside their pride and relied on food banks for the first time in their lives.

“I didn’t think it was going to get this bad. I really didn’t,” Jim told CNNMoney. After working for 17 years in glass manufacturing, he found himself unemployed and competing against teens to cut grass for $10 an hour.

The Stewarts credit their church — and their marriage — for their ability to survive that period. Today, both have jobs again — Jim at Ford and Peggy at a corporate security firm — although the pay is less than they want.

Peggy voted twice for President Obama, but she went for Trump in 2016, largely because of the economy.

“I’m behind Trump because he has a spine,” says Peggy, now 62. She makes $9 an hour, barely above Michigan’s minimum wage. She had a similar job before the crisis. It paid $11 an hour.

In August, Trump visited Michigan and asked voters, “What do you have to lose by trying something new, like Trump?”

Related: Even Trump voters want the minimum wage raised

In Michigan, many want Trump to go after NAFTA

Peggy and Jim Stewart lost thier jobs and their home in the Great Recession. They finally found work again, but for lower pay.

Unlike his wife, Jim wasn’t convinced a billionaire like Trump (or millionaire like Clinton) would do anything for working Americans like their family. He tried to write in “Screwy Squirrel,” an old cartoon character, on his presidential ballot.

Politicians “are fairly clueless as to what an average person’s life is like,” says Jim, now 55. One of their sons is in the Air Force. He just got word he’ll be in the Middle East by April.

But there’s one thing Jim really applauds Trump on so far: Getting the U.S. out of the TPP trade deal in Asia. Jim thinks trade deals like NAFTA have caused manufacturing jobs to disappear and wages to go down. CNNMoney heard that from just about everyone we met during a week of interviews in Michigan.

We “need to renegotiate NAFTA. That was Clinton and we got the stinky end of the stick on that one,” says Jim. He likes his job at Ford, but he’ll never earn more than about $20 because he was hired into a plant that cut a deal with the union to pay new hires there far below the $30 norm.

NAFTA, the deal with Mexico and Canada that allows goods from those countries to come into the U.S. tax free, went into effect in January 1994. U.S. manufacturing actually did well for much of the 1990s. But it’s been a different story since 2000, the tipping point when manufacturing jobs began to disappear rapidly.

As manufacturing jobs declined, other sectors grew. Unemployment in Michigan has been 5% or less for the past year. It’s the lowest level since 2001. But workers say there’s one big problem: A lot of the jobs around now don’t pay well. The Stewarts certainly feel that way. So does Angelica West.

Related: Trump gives America’s ‘poorest white town’ hope

I gave up on manufacturing

Angelica West, age 28, with two of her sons, thought she would be a life-long manufacturing worker. But she couldn’t find a factory job that paid much more than minimum wage.

West grew up in a blue collar family in Lapeer, Michigan, a city about an hour from the U.S.-Canadian border. She admits she “got in the wrong crowd” in high school and never finished. She didn’t worry about it at first. She just walked into a temp agency and landed a manufacturing job.

She worked at a GM parts plant and then on the assembly line of Lesley Elizabeth, a company that makes cooking oils and spices. She figured manufacturing would be her life.

But those jobs paid minimum wage — barely above $8 an hour in her state.

“I was only bringing home $960 a month,” the soft-spoken mom, now 28 and the mother of three young boys, told CNNMoney. “Daycare alone was almost $400 to enroll my kids in.”

About a year ago, she moved back in with her mother and went back to school to get her GED through a state program. Her family also receives Medicaid to cover health care. She hopes to retrain to be a nurse.

West and her mother are Trump supporters. They see him as an “action president.” They especially like what he’s doing on trade and immigration.

“I’m not racist at all, but I do believe in building a border [wall] to protect our country,” West says, referring to Trump’s promise to construct a wall along the U.S.-Mexican border. “We can’t even take care of our own people right now.”

Related: Be ‘very afraid’ about globalization’s next phase

Even union workers are worried

Frank Pitcher, 49, has had a long career at Ford. His concern is that the American Dream is slipping away.

Last week Trump promised, yet again, that his economic plans “will return significant manufacturing jobs to our country.” He’s gone as far as to vow to create 25 million jobs, the most of any president.

The jobs Trump supporters envision when he makes statements like that are the $30-an-hour auto worker jobs. CNNMoney sat down with several Ford workers in Detroit. They feel they’ve lived the American Dream, but even they are worried about the economy.

“I want my kids to have a future. I want my kids to have jobs,” says Sal Moceri, a 61-year-old Ford factory worker and UAW member. All of his union brothers in the room nod in agreement.

There were 103,000 American UAW workers employed by Ford in 1994, the year NAFTA took effect, according to a UAW spokesman. Now there are just 56,000.

“Trump offered to bring these auto jobs back,” says Frank Pitcher, 49, who hosted the interview in a large middle class home with a big-screen TV. “For me, it meant that many other Americans were going to get that same opportunity.”

Moceri and Pitcher both voted twice for Obama. But in 2016, they went for Trump.

“I’ve been a long Democrat,” says Moceri. But he felt “people needed a change.”

Michigan swing voters like Moceri and Peggy Stewart feel Trump is already delivering on his jobs promise. They like what they see when companies like Carrier say they’ll keep jobs in the U.S. But Moceri, an immigrant from Italy, was livid at Trump’s refugee ban. Peggy Stewart thinks Trump’s trying to do too much too fast.

“I hope it’s not the biggest mistake of my life,” Peggy Stewart said of her Trump vote. “Some of us are working too hard to fall back now.”

To contact the author of this story, email heather.long@cnn.com.

— CNNMoney’s Richa Naik and Logan Whiteside contributed to this story.

CNNMoney (Detroit) First published March 3, 2017: 7:26 AM ET

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