She has toured internationally with The Weeknd and was also nominated for the Sound of 2014 award by the BBC and an MTV Brand New Nominee in 2014. On May 3, 2014, Banks was dubbed as an "Artist to Watch" by FoxWeekly.
Early life
Jillian Rose Banks was born in Orange County, California. Banks started writing songs at the age of fifteen. She taught herself piano when she received a keyboard from a friend to help her through her parents' divorce. She says she "felt very alone and helpless. I didn't know how to express what I was feeling or who to talk to."
Career
2013–present: Breakthrough and Goddess
Banks used the audio distribution website SoundCloud to put out her music before securing a record deal. Her friend Lily Collins used her contacts to pass along her music to people in the industry; specifically Katy Perry's DJ Yung Skeeter, and she began working with the label Good Years Recordings. Her first official single, called "Before I Ever Met You" was released in February 2013. The song which had been on a private SoundCloud page ended up being played by BBC Radio 1 DJ Zane Lowe. Banks released her first EP Fall Over by IAMSOUND Records and Good Years Recordings.Billboard called her a "magnetic writer with songs to obsess over." Banks released her second EP called London by Harvest Records and Good Years Recordings in 2013 to positive reviews from music critics, receiving a 78 from Metacritic. Her song "Waiting Game" from the EP was featured in the 2013 Victoria's Secret holiday commercial.
Charles Dickens' works are especially associated with London which is the setting for many of his novels. These works do not just use London as a backdrop but are about the city and its character.
Dickens described London as a Magic lantern, a popular entertainment of the Victorian era, which projected images from slides. Of all Dickens' characters 'none played as important a role in his work as that of London itself', it fired his imagination and made him write. In a letter to John Forster, in 1846, Dickens wrote 'a day in London sets me up and starts me', but outside of the city, 'the toil and labour of writing, day after day, without that magic lantern is IMMENSE!!'
However, of the identifiable London locations that Dickens used in his work, scholar Clare Pettitt notes that many no longer exist, and, while 'you can track Dickens' London, and see where things were, but they aren't necessarily still there'.
In addition to his later novels and short stories, Dickens' descriptions of London, published in various newspapers in the 1830s, were released as a collected edition Sketches by Boz in 1836.
London is a poem by Samuel Johnson, produced shortly after he moved to London. Written in 1738, it was his first major published work. The poem in 263 lines imitates Juvenal's Third Satire, expressed by the character of Thales as he decides to leave London for Wales. Johnson imitated Juvenal because of his fondness for the Roman poet and he was following a popular 18th-century trend of Augustan poets headed by Alexander Pope that favoured imitations of classical poets, especially for young poets in their first ventures into published verse.
London was published anonymously and in multiple editions during 1738. It quickly received critical praise, notably from Pope. This would be the second time that Pope praised one of Johnson's poems; the first being for Messiah, Johnson's Latin translation of Pope's poem. Part of that praise comes from the political basis of the poem. From a modern view, the poem is outshined by Johnson's later poem, The Vanity of Human Wishes as well as works like his A Dictionary of the English Language, his Lives of the Most Eminent English Poets, and his periodical essays for The Rambler, The Idler, and The Adventurer.
Amsterdam is an Amtraktrain station in Amsterdam, New York. It is located at 466 West Main Street on the West end of the city and is also a popular railfanning location on the busy CSX Chicago Line, which sees 70–80 freight trains per day. However, there are only three Amtrak trains in each direction daily. Further service passes through the station without stopping. While the station is located along the Mohawk River, maps have mistakenly shown the location as being next to a park along the river near the Erie Canal Lock #11.
Service
The station sees multiple daily departures of the following trains:
"John & Yoko", the first side, a recording made on 22 and 27 April 1969, is of Lennon and Ono calling to each other, through a range of volume, tempos, and emotions, over the sound of their heartbeats. The two recorded on individual speakers. Lennon described the heartbeats as being "like African drums", and the piece being "like an extended, very extreme John and Marsha that was out years ago by Stan Freberg. It really makes your hair stand on end." Lennon edited the two together on May 1, 1969.
"Amsterdam", the second side, had been recorded first, in a hotel room at the Hilton Hotel in Amsterdam, Holland, during 25–31 March 1969. The piece consists of interviews explaining their campaign for peace, conversations and captured sounds during the couple's "Bed-In" honeymoon. An early form of what would become "John John Let's Hope for Peace" forms the beginning of "Amsterdam". There were also four other musical interludes including Lennon performing a blues-style composition on acoustic guitar, featuring the words "Goodbye Amsterdam Goodbye". Ono sings "Grow Your Hair", a song regarding peace. Lennon sings a brief excerpt in a cappela of the Beatles song "Good Night". The last interlude is a short recitation of the words "Bed peace" and "Hair peace".
AWS Lambda under the hood
Ben de Haan
Slides: https://www.slideshare.net/secret/94rXaecRFCBrJG
AWS Community Day Amsterdam Online 2020
Recorded Tuesday, 27 October 2020
https://awscommunityday.nl/
https://twitter.com/awsugnl
https://www.linkedin.com/company/aws-community-day-amsterdam-nl
https://awsug.nl/
published: 31 Oct 2020
AWS Lambda Layers Tutorial | Managing Python libraries in a better way
In this video, we are going to discuss Layers in AWS Lambda. Using the functionality of Layers you can manage your external dependencies in a much reusable way. This drastically improves the readability and maintainability of your lambda functions.
Check out my website -
https://www.pylenin.com
Join my Facebook group -
https://www.facebook.com/pylenin
Connect with me on Twitter -
https://twitter.com/pylenin
Join me on Instagram -
https://www.instagram.com/pylenin
published: 21 Apr 2019
James Powell - Furious & Fast Python 7: Writing Fast Python Code | PyData Fest Amsterdam 2020
PyData is excited to announce PyData Global, November 11th - 15th! Tickets are now available: https://global.pydata.org/pages/tickets.html#pricing-and-ticket-purchases
Part of an underrepresented group in tech? PyData Global is offering Diversity Scholarships. Applications close September 30th: https://docs.google.com/forms/d/e/1FAIpQLSfcFaTqVFjMa6kWlLPeEynEcbp1WrCxyxMGyyh4BP33eAviaA/viewform
James Powell - Furious & Fast Python 7: Writing Fast Python Code | PyData Fest Amsterdam 2020
You’ve already seen the about six of these. They were kind of boring. You probably fell asleep halfway through number 5. Why is anyone still making this content? What new ground is there to cover?
This talk will cover fundamental conceptualizations and approaches to writing fast systems in Python, while cr...
published: 02 Sep 2020
AWS Summit Tel Aviv 2016: Enabling New Voice Experiences with Amazon Alexa and AWS Lambda
Learn More: http://amzn.to/29YhNGe
- - - - - - - - - - - - - - - - -
Session Language: English
Alexa, the voice service that powers Amazon Echo device family and Amazon Fire TV, provides a set of built-in abilities, or skills, that enable customers to interact with devices in a more intuitive way by using voice. Examples of these skills include the ability to play music, answer general questions, set an alarm or timer and more. With the Alexa Skills Kit, you can easily build and add your own skills to Alexa. Customers can then access these new skills simply by asking Alexa a question or making a command. This workshop will be a walkthrough of the latest Alexa Skills Kit (ASK) and will teach you how to build your own skills for Alexa enabled devices, like the Amazon Echo. You will get dem...
published: 14 Jul 2016
A Startup Journey - Isambard Poulson
PyData London Meetup #59
Tuesday, October 1, 2019
Sponsored & Hosted by Man Group
****
www.pydata.org
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the lates...
published: 30 Oct 2019
Unit 1 Week 2 London recording
Blackboard Collaborate recording from MA ACE Unit 1 Week 2 London
AWS Lambda under the hood
Ben de Haan
Slides: https://www.slideshare.net/secret/94rXaecRFCBrJG
AWS Community Day Amsterdam Online 2020
Recorded Tuesday, 27 Oct...
AWS Lambda under the hood
Ben de Haan
Slides: https://www.slideshare.net/secret/94rXaecRFCBrJG
AWS Community Day Amsterdam Online 2020
Recorded Tuesday, 27 October 2020
https://awscommunityday.nl/
https://twitter.com/awsugnl
https://www.linkedin.com/company/aws-community-day-amsterdam-nl
https://awsug.nl/
AWS Lambda under the hood
Ben de Haan
Slides: https://www.slideshare.net/secret/94rXaecRFCBrJG
AWS Community Day Amsterdam Online 2020
Recorded Tuesday, 27 October 2020
https://awscommunityday.nl/
https://twitter.com/awsugnl
https://www.linkedin.com/company/aws-community-day-amsterdam-nl
https://awsug.nl/
In this video, we are going to discuss Layers in AWS Lambda. Using the functionality of Layers you can manage your external dependencies in a much reusable way....
In this video, we are going to discuss Layers in AWS Lambda. Using the functionality of Layers you can manage your external dependencies in a much reusable way. This drastically improves the readability and maintainability of your lambda functions.
Check out my website -
https://www.pylenin.com
Join my Facebook group -
https://www.facebook.com/pylenin
Connect with me on Twitter -
https://twitter.com/pylenin
Join me on Instagram -
https://www.instagram.com/pylenin
In this video, we are going to discuss Layers in AWS Lambda. Using the functionality of Layers you can manage your external dependencies in a much reusable way. This drastically improves the readability and maintainability of your lambda functions.
Check out my website -
https://www.pylenin.com
Join my Facebook group -
https://www.facebook.com/pylenin
Connect with me on Twitter -
https://twitter.com/pylenin
Join me on Instagram -
https://www.instagram.com/pylenin
PyData is excited to announce PyData Global, November 11th - 15th! Tickets are now available: https://global.pydata.org/pages/tickets.html#pricing-and-ticket-pu...
PyData is excited to announce PyData Global, November 11th - 15th! Tickets are now available: https://global.pydata.org/pages/tickets.html#pricing-and-ticket-purchases
Part of an underrepresented group in tech? PyData Global is offering Diversity Scholarships. Applications close September 30th: https://docs.google.com/forms/d/e/1FAIpQLSfcFaTqVFjMa6kWlLPeEynEcbp1WrCxyxMGyyh4BP33eAviaA/viewform
James Powell - Furious & Fast Python 7: Writing Fast Python Code | PyData Fest Amsterdam 2020
You’ve already seen the about six of these. They were kind of boring. You probably fell asleep halfway through number 5. Why is anyone still making this content? What new ground is there to cover?
This talk will cover fundamental conceptualizations and approaches to writing fast systems in Python, while critiquing how this topic has been covered in past. It will show limitations of measurement mechanisms, conceptual limitations of the “static view” of software development, and it will show problems with non-structural micro-optimizations. It will suggest intuitions and structural approaches that lead to high performance systems in practice, as well as intuitions that can guide this development from within a more cohesive and coherent framework of understanding of the software development process.
Speaker Bio: James Powell is a professional Python programmer and enthusiast. He started working with Python in the finance industry building reporting and analysis systems for prop trading front offices. He currently works as a consultant building data engineering and scientific computing platforms for a wide range of clients using cutting-edge open source tools like Python and React. He also currently serves as a Board Director, Co-Chair, and Vice President at NumFOCUS, the 501(c)3 non-profit that supports all the major tools in the Python data analysis ecosystem (incl. pandas, numpy, jupyter, matplotlib, and others). At NumFOCUS, he helps build global open source communities for data scientists, data engineers, and business analysts. He helps NumFOCUS run the PyData conference series and has sat on speaker selection and organizing committees for eighteen conferences. James is also a prolific speaker: since 2013, he has given over seventy conference talks at over fifty Python events worldwide.
===
www.pydata.org
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.
Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps
PyData is excited to announce PyData Global, November 11th - 15th! Tickets are now available: https://global.pydata.org/pages/tickets.html#pricing-and-ticket-purchases
Part of an underrepresented group in tech? PyData Global is offering Diversity Scholarships. Applications close September 30th: https://docs.google.com/forms/d/e/1FAIpQLSfcFaTqVFjMa6kWlLPeEynEcbp1WrCxyxMGyyh4BP33eAviaA/viewform
James Powell - Furious & Fast Python 7: Writing Fast Python Code | PyData Fest Amsterdam 2020
You’ve already seen the about six of these. They were kind of boring. You probably fell asleep halfway through number 5. Why is anyone still making this content? What new ground is there to cover?
This talk will cover fundamental conceptualizations and approaches to writing fast systems in Python, while critiquing how this topic has been covered in past. It will show limitations of measurement mechanisms, conceptual limitations of the “static view” of software development, and it will show problems with non-structural micro-optimizations. It will suggest intuitions and structural approaches that lead to high performance systems in practice, as well as intuitions that can guide this development from within a more cohesive and coherent framework of understanding of the software development process.
Speaker Bio: James Powell is a professional Python programmer and enthusiast. He started working with Python in the finance industry building reporting and analysis systems for prop trading front offices. He currently works as a consultant building data engineering and scientific computing platforms for a wide range of clients using cutting-edge open source tools like Python and React. He also currently serves as a Board Director, Co-Chair, and Vice President at NumFOCUS, the 501(c)3 non-profit that supports all the major tools in the Python data analysis ecosystem (incl. pandas, numpy, jupyter, matplotlib, and others). At NumFOCUS, he helps build global open source communities for data scientists, data engineers, and business analysts. He helps NumFOCUS run the PyData conference series and has sat on speaker selection and organizing committees for eighteen conferences. James is also a prolific speaker: since 2013, he has given over seventy conference talks at over fifty Python events worldwide.
===
www.pydata.org
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.
Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps
Learn More: http://amzn.to/29YhNGe
- - - - - - - - - - - - - - - - -
Session Language: English
Alexa, the voice service that powers Amazon Echo device family ...
Learn More: http://amzn.to/29YhNGe
- - - - - - - - - - - - - - - - -
Session Language: English
Alexa, the voice service that powers Amazon Echo device family and Amazon Fire TV, provides a set of built-in abilities, or skills, that enable customers to interact with devices in a more intuitive way by using voice. Examples of these skills include the ability to play music, answer general questions, set an alarm or timer and more. With the Alexa Skills Kit, you can easily build and add your own skills to Alexa. Customers can then access these new skills simply by asking Alexa a question or making a command. This workshop will be a walkthrough of the latest Alexa Skills Kit (ASK) and will teach you how to build your own skills for Alexa enabled devices, like the Amazon Echo. You will get demonstration of an Amazon Echo device, the Alexa Skills Kit and AWS Lambda, with live coding session. You will also learn how test your Lambda function on your local machine before to deploy to the cloud.
Learn More: http://amzn.to/29YhNGe
- - - - - - - - - - - - - - - - -
Session Language: English
Alexa, the voice service that powers Amazon Echo device family and Amazon Fire TV, provides a set of built-in abilities, or skills, that enable customers to interact with devices in a more intuitive way by using voice. Examples of these skills include the ability to play music, answer general questions, set an alarm or timer and more. With the Alexa Skills Kit, you can easily build and add your own skills to Alexa. Customers can then access these new skills simply by asking Alexa a question or making a command. This workshop will be a walkthrough of the latest Alexa Skills Kit (ASK) and will teach you how to build your own skills for Alexa enabled devices, like the Amazon Echo. You will get demonstration of an Amazon Echo device, the Alexa Skills Kit and AWS Lambda, with live coding session. You will also learn how test your Lambda function on your local machine before to deploy to the cloud.
PyData London Meetup #59
Tuesday, October 1, 2019
Sponsored & Hosted by Man Group
****
www.pydata.org
PyData is an educational program of NumFOCUS, a 501(c)...
PyData London Meetup #59
Tuesday, October 1, 2019
Sponsored & Hosted by Man Group
****
www.pydata.org
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
PyData London Meetup #59
Tuesday, October 1, 2019
Sponsored & Hosted by Man Group
****
www.pydata.org
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
AWS Lambda under the hood
Ben de Haan
Slides: https://www.slideshare.net/secret/94rXaecRFCBrJG
AWS Community Day Amsterdam Online 2020
Recorded Tuesday, 27 October 2020
https://awscommunityday.nl/
https://twitter.com/awsugnl
https://www.linkedin.com/company/aws-community-day-amsterdam-nl
https://awsug.nl/
In this video, we are going to discuss Layers in AWS Lambda. Using the functionality of Layers you can manage your external dependencies in a much reusable way. This drastically improves the readability and maintainability of your lambda functions.
Check out my website -
https://www.pylenin.com
Join my Facebook group -
https://www.facebook.com/pylenin
Connect with me on Twitter -
https://twitter.com/pylenin
Join me on Instagram -
https://www.instagram.com/pylenin
PyData is excited to announce PyData Global, November 11th - 15th! Tickets are now available: https://global.pydata.org/pages/tickets.html#pricing-and-ticket-purchases
Part of an underrepresented group in tech? PyData Global is offering Diversity Scholarships. Applications close September 30th: https://docs.google.com/forms/d/e/1FAIpQLSfcFaTqVFjMa6kWlLPeEynEcbp1WrCxyxMGyyh4BP33eAviaA/viewform
James Powell - Furious & Fast Python 7: Writing Fast Python Code | PyData Fest Amsterdam 2020
You’ve already seen the about six of these. They were kind of boring. You probably fell asleep halfway through number 5. Why is anyone still making this content? What new ground is there to cover?
This talk will cover fundamental conceptualizations and approaches to writing fast systems in Python, while critiquing how this topic has been covered in past. It will show limitations of measurement mechanisms, conceptual limitations of the “static view” of software development, and it will show problems with non-structural micro-optimizations. It will suggest intuitions and structural approaches that lead to high performance systems in practice, as well as intuitions that can guide this development from within a more cohesive and coherent framework of understanding of the software development process.
Speaker Bio: James Powell is a professional Python programmer and enthusiast. He started working with Python in the finance industry building reporting and analysis systems for prop trading front offices. He currently works as a consultant building data engineering and scientific computing platforms for a wide range of clients using cutting-edge open source tools like Python and React. He also currently serves as a Board Director, Co-Chair, and Vice President at NumFOCUS, the 501(c)3 non-profit that supports all the major tools in the Python data analysis ecosystem (incl. pandas, numpy, jupyter, matplotlib, and others). At NumFOCUS, he helps build global open source communities for data scientists, data engineers, and business analysts. He helps NumFOCUS run the PyData conference series and has sat on speaker selection and organizing committees for eighteen conferences. James is also a prolific speaker: since 2013, he has given over seventy conference talks at over fifty Python events worldwide.
===
www.pydata.org
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.
Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps
Learn More: http://amzn.to/29YhNGe
- - - - - - - - - - - - - - - - -
Session Language: English
Alexa, the voice service that powers Amazon Echo device family and Amazon Fire TV, provides a set of built-in abilities, or skills, that enable customers to interact with devices in a more intuitive way by using voice. Examples of these skills include the ability to play music, answer general questions, set an alarm or timer and more. With the Alexa Skills Kit, you can easily build and add your own skills to Alexa. Customers can then access these new skills simply by asking Alexa a question or making a command. This workshop will be a walkthrough of the latest Alexa Skills Kit (ASK) and will teach you how to build your own skills for Alexa enabled devices, like the Amazon Echo. You will get demonstration of an Amazon Echo device, the Alexa Skills Kit and AWS Lambda, with live coding session. You will also learn how test your Lambda function on your local machine before to deploy to the cloud.
PyData London Meetup #59
Tuesday, October 1, 2019
Sponsored & Hosted by Man Group
****
www.pydata.org
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
She has toured internationally with The Weeknd and was also nominated for the Sound of 2014 award by the BBC and an MTV Brand New Nominee in 2014. On May 3, 2014, Banks was dubbed as an "Artist to Watch" by FoxWeekly.
Early life
Jillian Rose Banks was born in Orange County, California. Banks started writing songs at the age of fifteen. She taught herself piano when she received a keyboard from a friend to help her through her parents' divorce. She says she "felt very alone and helpless. I didn't know how to express what I was feeling or who to talk to."
Career
2013–present: Breakthrough and Goddess
Banks used the audio distribution website SoundCloud to put out her music before securing a record deal. Her friend Lily Collins used her contacts to pass along her music to people in the industry; specifically Katy Perry's DJ Yung Skeeter, and she began working with the label Good Years Recordings. Her first official single, called "Before I Ever Met You" was released in February 2013. The song which had been on a private SoundCloud page ended up being played by BBC Radio 1 DJ Zane Lowe. Banks released her first EP Fall Over by IAMSOUND Records and Good Years Recordings.Billboard called her a "magnetic writer with songs to obsess over." Banks released her second EP called London by Harvest Records and Good Years Recordings in 2013 to positive reviews from music critics, receiving a 78 from Metacritic. Her song "Waiting Game" from the EP was featured in the 2013 Victoria's Secret holiday commercial.