#Python developers survey 2019
Hey #Pythonista,
This is the third iteration of the official Python Developers Survey. With this survey, we aim to identify how the Python development world looks today and how it compares to last year. In 2018 we received 20,000 responses from Python developers, who shared their experience to help us map out an accurate landscape of the Python community.
The results of this survey serve as a major source of knowledge about the current state of the Python community, so we encourage you to participate and take this 10-minute survey and make an invaluable contribution to the community.
After the survey is over, we will publish the aggregated results and randomly choose 100 winners (from those who complete the survey in its entirety), who will each receive an amazing Python Surprise Gift Pack.
Thank you for contributing to this community effort!
Let’s get started with the survey!
🔭 @DeepGravity
Hey #Pythonista,
This is the third iteration of the official Python Developers Survey. With this survey, we aim to identify how the Python development world looks today and how it compares to last year. In 2018 we received 20,000 responses from Python developers, who shared their experience to help us map out an accurate landscape of the Python community.
The results of this survey serve as a major source of knowledge about the current state of the Python community, so we encourage you to participate and take this 10-minute survey and make an invaluable contribution to the community.
After the survey is over, we will publish the aggregated results and randomly choose 100 winners (from those who complete the survey in its entirety), who will each receive an amazing Python Surprise Gift Pack.
Thank you for contributing to this community effort!
Let’s get started with the survey!
🔭 @DeepGravity
#Python programming language creator retires, saying: 'It's been an amazing ride'
Guido van #Rossum, the creator of the hugely popular Python programming language, is leaving cloud file storage firm Dropbox and heading into retirement.
That ends his six and half years with the company, which hired in him in 2013 because so much of its functionality was built on Python. And, after last year stepping down from his leadership role over Python decision making, that means the Python creator is officially retiring.
His recruitment at Dropbox made sense for the tech company. Dropbox has about four million lines of Python code and it's the most heavily used language for its back-end services and desktop app.
Read the article here
🔭 @DeepGravity
Guido van #Rossum, the creator of the hugely popular Python programming language, is leaving cloud file storage firm Dropbox and heading into retirement.
That ends his six and half years with the company, which hired in him in 2013 because so much of its functionality was built on Python. And, after last year stepping down from his leadership role over Python decision making, that means the Python creator is officially retiring.
His recruitment at Dropbox made sense for the tech company. Dropbox has about four million lines of Python code and it's the most heavily used language for its back-end services and desktop app.
Read the article here
🔭 @DeepGravity
ZDNet
Python programming language creator retires, saying: 'It's been an amazing ride'
The creator of the world's most popular programming language goes into retirement.
A lot of #DataScience Cheatsheets such as #DeepLearning #Python #Docker
Link to the Github repo
🔭 @DeepGravity
Link to the Github repo
🔭 @DeepGravity
#DeepLearning with #PyTorch
Download a free copy of the book and learn how to get started with #AI / #ML development using PyTorch
#Python
🔭 @DeepGravity
Download a free copy of the book and learn how to get started with #AI / #ML development using PyTorch
#Python
🔭 @DeepGravity
The Mind at Work: Guido van #Rossum on how #Python makes thinking in code easier
A conversation with the creator of the world’s most popular programming language on removing brain friction for better work
“You primarily write your code to communicate with other coders, and, to a lesser extent, to impose your will on the computer.”
—Guido van Rossum
Link
🔭 @DeepGravity
A conversation with the creator of the world’s most popular programming language on removing brain friction for better work
“You primarily write your code to communicate with other coders, and, to a lesser extent, to impose your will on the computer.”
—Guido van Rossum
Link
🔭 @DeepGravity
Dropbox
The Mind at Work: Guido van Rossum on how Python makes thinking in code easier
A conversation with the creator of the world’s most popular programming language on removing brain friction for better work.
Free #AI #Resources
Find The Most Updated and Free #ArtificialIntelligence, #MachineLearning, #DataScience, #DeepLearning, #Mathematics, #Python Programming Resources. (Last Update: December 4, 2019)
Link
🔭 @DeepGravity
Find The Most Updated and Free #ArtificialIntelligence, #MachineLearning, #DataScience, #DeepLearning, #Mathematics, #Python Programming Resources. (Last Update: December 4, 2019)
Link
🔭 @DeepGravity
MarkTechPost
Free AI/ Data Science Resources
Find The Most Updated and Free Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Mathematics, Python, R Programming Resources.
Code Faster in #Python with Intelligent Snippets
#Kite is a plugin for your IDE that uses machine learning to give you useful code completions for Python. Start coding faster today.
Kite
🔭 @DeepGravity
#Kite is a plugin for your IDE that uses machine learning to give you useful code completions for Python. Start coding faster today.
Kite
🔭 @DeepGravity
Code Faster with Kite
Kite is saying farewell
From 2014 to 2021, Kite was a startup using AI to help developers write code. We have stopped working on Kite, and are no longer supporting the Kite software. Thank you to everyone who used our product, and thank you to our team members and investors who…
The Pros and Cons of Using #JavaScript for #MachineLearning
There’s a misconception in the world of machine learning (ML)
Developers have been led to believe that, to build and train an ML model, they are restricted to using a select few programming languages. #Python and #Java often top the list.
Link
🔭 @DeepGravity
There’s a misconception in the world of machine learning (ML)
Developers have been led to believe that, to build and train an ML model, they are restricted to using a select few programming languages. #Python and #Java often top the list.
Link
🔭 @DeepGravity
DLabs
The Pros and Cons of Using JavaScript for Machine Learning - DLabs
There’s a misconception in the world of machine learning (ML) Developers have been led to believe that, to build and train an ML model, they are restricted to using a select few programming languages. Python and Java often top the list. Python for its simplicity:…
#Autograd
Autograd can automatically differentiate native #Python and #Numpy code.
#Google #JAX
JAX is Autograd and XLA, brought together for high-performance machine learning research.
🔭 @DeepGravity
Autograd can automatically differentiate native #Python and #Numpy code.
#Google #JAX
JAX is Autograd and XLA, brought together for high-performance machine learning research.
🔭 @DeepGravity
GitHub
GitHub - HIPS/autograd: Efficiently computes derivatives of NumPy code.
Efficiently computes derivatives of NumPy code. Contribute to HIPS/autograd development by creating an account on GitHub.
Image Data Augmentation for #TensorFlow 2, #Keras and #PyTorch with Albumentations in #Python
TL;DR Learn how to create new examples for your dataset using image augmentation techniques. Load a scanned document image and apply various augmentations. Create an augmented dataset for Object Detection.
Article
🔭 @DeepGravity
TL;DR Learn how to create new examples for your dataset using image augmentation techniques. Load a scanned document image and apply various augmentations. Create an augmented dataset for Object Detection.
Article
🔭 @DeepGravity
Curiousily
Image Data Augmentation for TensorFlow 2, Keras and PyTorch with Albumentations in Python - Adventures in Artificial Intelligence…
Learn how to augment image data for Image Classification, Object Detection, and Image Segmentation
secml: A #Python Library for Secure and Explainable #MachineLearning
We present secml, an open-source Python library for secure and explainable machine learning. It implements the most popular attacks against machine learning, including not only test-time evasion attacks to generate adversarial examples against deep neural networks, but also training-time poisoning attacks against support vector machines and many other algorithms. These attacks enable evaluating the security of learning algorithms and of the corresponding defenses under both white-box and black-box threat models. To this end, secml provides built-in functions to compute security evaluation curves, showing how quickly classification performance decreases against increasing adversarial perturbations of the input data. secml also includes explainability methods to help understand why adversarial attacks succeed against a given model, by visualizing the most influential features and training prototypes contributing to each decision. It is distributed under the Apache License 2.0, and hosted at https://gitlab.com/secml/secml.
Paper
🔭 @DeepGravity
We present secml, an open-source Python library for secure and explainable machine learning. It implements the most popular attacks against machine learning, including not only test-time evasion attacks to generate adversarial examples against deep neural networks, but also training-time poisoning attacks against support vector machines and many other algorithms. These attacks enable evaluating the security of learning algorithms and of the corresponding defenses under both white-box and black-box threat models. To this end, secml provides built-in functions to compute security evaluation curves, showing how quickly classification performance decreases against increasing adversarial perturbations of the input data. secml also includes explainability methods to help understand why adversarial attacks succeed against a given model, by visualizing the most influential features and training prototypes contributing to each decision. It is distributed under the Apache License 2.0, and hosted at https://gitlab.com/secml/secml.
Paper
🔭 @DeepGravity
GitLab
Secure Machine Learning / SecML · GitLab
A Python library for Secure and Explainable Machine Learning Documentation available @ https://secml.gitlab.io Follow us on Twitter @