10 Highly Probable Data Scientist Interview Questions
Machine learning, Python, and SQLContinue reading on Towards Data Science ...
https://towardsdatascience.com/10-highly-probable-data-scientist-interview-questions-fd83f7414760
Machine learning, Python, and SQLContinue reading on Towards Data Science ...
https://towardsdatascience.com/10-highly-probable-data-scientist-interview-questions-fd83f7414760
Ploomber: Maintainable and Collaborative Pipelines in Jupyter
Ploomber is an open-source framework that allows teams to develop maintainable pipelines in Jupyter.
https://blog.jupyter.org/ploomber-maintainable-and-collaborative-pipelines-in-jupyter-acb3ad2101a7
Ploomber is an open-source framework that allows teams to develop maintainable pipelines in Jupyter.
https://blog.jupyter.org/ploomber-maintainable-and-collaborative-pipelines-in-jupyter-acb3ad2101a7
Medium
Ploomber: Maintainable and Collaborative Pipelines in Jupyter
Ploomber is an open-source framework that allows teams to develop maintainable pipelines in Jupyter.
Python 3.9.7 and 3.8.12 are now available
https://pythoninsider.blogspot.com/2021/08/python-397-and-3812-are-now-available.html
https://pythoninsider.blogspot.com/2021/08/python-397-and-3812-are-now-available.html
Blogspot
Python Insider: Python 3.9.7 and 3.8.12 are now available
The best Docker base image for your Python application (August 2021)
When you’re building a Docker image for your Python application, you’re building on top of an ...
https://pythonspeed.com/articles/base-image-python-docker-images/
When you’re building a Docker image for your Python application, you’re building on top of an ...
https://pythonspeed.com/articles/base-image-python-docker-images/
Python⇒Speed
The best Docker base image for your Python application (May 2024)
Ubuntu? Official Python images? Alpine Linux? Here’s how to choose a good base Docker image for your Python application container.
Version control for Jupyter notebooks
Jupyter notebooks are hard to diff and merge since they contain both code and output, but tools and practices can make version control easier.
https://www.wrighters.io/version-control-for-jupyter-notebooks/
Jupyter notebooks are hard to diff and merge since they contain both code and output, but tools and practices can make version control easier.
https://www.wrighters.io/version-control-for-jupyter-notebooks/
wrighters.io
Version control for Jupyter notebooks - wrighters.io
Jupyter notebooks are hard to diff and merge since they contain both code and output, but tools and practices can make version control easier.
Data Structures and Algorithms in Python
A beginner-friendly introduction to common data structures (linked lists, stacks, queues, graphs) and algorithms (search, sorting, recursion, dynamic programming) in Python. This course will help you prepare for coding interviews and assessments.
https://www.youtube.com/watch?v=pkYVOmU3MgA
A beginner-friendly introduction to common data structures (linked lists, stacks, queues, graphs) and algorithms (search, sorting, recursion, dynamic programming) in Python. This course will help you prepare for coding interviews and assessments.
https://www.youtube.com/watch?v=pkYVOmU3MgA
YouTube
Data Structures and Algorithms in Python - Full Course for Beginners
A beginner-friendly introduction to common data structures (linked lists, stacks, queues, graphs) and algorithms (search, sorting, recursion, dynamic programming) in Python. This course will help you prepare for coding interviews and assessments.
🔗 Course…
🔗 Course…
An Introduction to Reinforcement Learning with OpenAI Gym, RLlib, and Google Colab
One possible definition of reinforcement learning (RL) is a computational approach to learning how to maximize the total sum of rewards when interacting with an environment. While a definition is useful, this tutorial aims to illustrate what reinforcement learning is through images, code, and video examples and along the way introduce reinforcement learning terms like agents and environments.
https://t.co/26M1W8Wnho
One possible definition of reinforcement learning (RL) is a computational approach to learning how to maximize the total sum of rewards when interacting with an environment. While a definition is useful, this tutorial aims to illustrate what reinforcement learning is through images, code, and video examples and along the way introduce reinforcement learning terms like agents and environments.
https://t.co/26M1W8Wnho
Medium
An Introduction to Reinforcement Learning with OpenAI Gym, RLlib, and Google Colab
An introductory tutorial on reinforcement learning with OpenAI Gym, RLlib, and Google Colab
Spice.ai
Spice.ai is an open source, portable runtime for training and using deep learning on time series data.
https://github.com/spiceai/spiceai
Spice.ai is an open source, portable runtime for training and using deep learning on time series data.
https://github.com/spiceai/spiceai
GitHub
GitHub - spiceai/spiceai: A portable accelerated SQL query, search, and LLM-inference engine, written in Rust, for data-grounded…
A portable accelerated SQL query, search, and LLM-inference engine, written in Rust, for data-grounded AI apps and agents. - spiceai/spiceai
Speeding up Python Jupyter notebooks 25x with simple concurrency, and fast AWS servers
https://www.thehousesometimeswins.com/blog/speeding-up-jupyter-python
https://www.thehousesometimeswins.com/blog/speeding-up-jupyter-python
Making Numpy Accessible: Guidelines and Tools
https://labs.quansight.org/blog/2021/07/numpy-accessibility-guidelines/
https://labs.quansight.org/blog/2021/07/numpy-accessibility-guidelines/
Quansight Labs
Making Numpy Accessible: Guidelines and Tools
Header illustration by author, Mars Lee
Numpy is now foundational to Python scientific computing. Our efforts reach
millions of developers each month. As our user base grows, we recognize that we
are
Numpy is now foundational to Python scientific computing. Our efforts reach
millions of developers each month. As our user base grows, we recognize that we
are
5 Advanced Tips on Python Sequences
Notes from Fluent Python by Luciano Ramalho.Photo by NASA on Unsplash“66% of data scientists are ...
https://towardsdatascience.com/5-advanced-tips-on-python-sequences-5b0e09a21a83
Notes from Fluent Python by Luciano Ramalho.Photo by NASA on Unsplash“66% of data scientists are ...
https://towardsdatascience.com/5-advanced-tips-on-python-sequences-5b0e09a21a83
Medium
5 Advanced Tips on Python Sequences
Notes from Fluent Python by Luciano Ramalho.
CleanAPI
Pretty tornado wrapper for making lightweight REST API services.
https://github.com/vlakir/cleanapi
Pretty tornado wrapper for making lightweight REST API services.
https://github.com/vlakir/cleanapi
GitHub
GitHub - vlakir/cleanapi: Pretty tornado wrapper for making lightweight REST API services
Pretty tornado wrapper for making lightweight REST API services - GitHub - vlakir/cleanapi: Pretty tornado wrapper for making lightweight REST API services
Python for Distributed Systems
How to write scripts that are horizontally scalable for big data.
https://www.babbling.fish/elt-cookbook-python/
How to write scripts that are horizontally scalable for big data.
https://www.babbling.fish/elt-cookbook-python/
www.babbling.fish
Python for Distributed Systems
Common design patterns used by data engineers to write python scripts that can be horizontally scaled on a stateless task runner.
Python-World / python-mini-projects
A collection of simple python mini projects to enhance your python skills
https://github.com/Python-World/python-mini-projects
A collection of simple python mini projects to enhance your python skills
https://github.com/Python-World/python-mini-projects
GitHub
GitHub - Python-World/python-mini-projects: A collection of simple python mini projects to enhance your python skills
A collection of simple python mini projects to enhance your python skills - Python-World/python-mini-projects
Huracan
Open source, 0-dimensional, object-oriented airbreathing engine modelling package for preliminary analysis and design of airbreathing engines, divulgation and educational purposes.
https://github.com/alopezrivera/huracan
Open source, 0-dimensional, object-oriented airbreathing engine modelling package for preliminary analysis and design of airbreathing engines, divulgation and educational purposes.
https://github.com/alopezrivera/huracan
GitHub
GitHub - alopezrivera/huracan: Open source, 0-dimensional, object-oriented airbreathing engine modelling package for preliminary…
Open source, 0-dimensional, object-oriented airbreathing engine modelling package for preliminary analysis and design of airbreathing engines, divulgation and educational purposes. - alopezrivera/h...
Deriving Guitar Theory in ~400 Lines of Python
This article looks at applying basic music theory to the guitar using Python in order to derive chords and scales for alternate tunings.
https://www.mvanga.com/blog/deriving-guitar-theory-in-400-lines-of-python
This article looks at applying basic music theory to the guitar using Python in order to derive chords and scales for alternate tunings.
https://www.mvanga.com/blog/deriving-guitar-theory-in-400-lines-of-python
Mvanga
Deriving Guitar Theory in ~400 Lines of Python | Manohar Vanga
An introduction to applying basic Western music theory to the guitar using the Python programming language to derive chords and scales.
Can We Forecast the Number of Sunspots?
I will be predicting the number of monthly Sunspots using time series analysis. The models that ...
https://towardsdatascience.com/modelling-the-number-of-sunspots-with-time-series-analysis-39ce7d88cff3
I will be predicting the number of monthly Sunspots using time series analysis. The models that ...
https://towardsdatascience.com/modelling-the-number-of-sunspots-with-time-series-analysis-39ce7d88cff3
Medium
Can We Forecast the Number of Sunspots?
I will be predicting the number of monthly Sunspots using time series analysis. The models that will be explored in-depth are the ARMA and…