Welcome to Learning at Lambert Labs session #13. This week, Guy King, explains how React updates State asynchronously in a component.

In Today’s Learning Session:

• What is State in a React component?
• useState hook in React 16+
• Callbacks for setting State
• Why use callbacks?
• Normal case vs. unexpected case with setTimeout
• When should you bother with callbacks for asynchronous updates to State
• Q&A from our developers!

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🔗 Lambert Labs Links 🔗 :

🌎 Website: https://lambertlabs.com/​​

📱 Twitter: https://twitter.com/lambertlabs​

📝 LinkedIn: https://www.linkedin.com/company/lambertlabs/

📂 GitHub: https://github.com/lambertlabs​​

Welcome to Learning at Lambert Labs session #12. This week, Rafiq Hilali, takes us asyncio, part of the Python standard library, and how you can use it to achieve concurrency with asynchronous coroutines.

In Today’s Learning Session:

• Different types of concurrency (threading, multiprocessing, asynchronous coroutines).
• What are asynchronous coroutines?
• When should you use asyncio?
• Demo using app that uses IP address to find local weather
• aiohttp client framework for asynchronous requests.
• asynchronous vs. synchronous.

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🔗 Lambert Labs Links 🔗 :

🌎 Website: https://lambertlabs.com/​​

📱 Twitter: https://twitter.com/lambertlabs​

📝 LinkedIn: https://www.linkedin.com/company/lambertlabs/

📂 GitHub: https://github.com/lambertlabs​​

Welcome to Learning at Lambert Labs session #11. This week, our founder George Lambert, takes us through the runtime typing checking with MonkeyType (made by Instagram) and how you can use it to make your code more readable.

In Today’s Learning Session:

• History of dynamic and static typing in Python
• Argument names, docstrings and the typing modules
• Problem: old legacy code is hard to type
• Solution: use MonkeyType to generate typing stubs or even annotate your code.
• Example usage and demo
• Q&A from our developers

🔊 Subscribe to our channel for weekly learning sessions! https://www.youtube.com/channel/UCi7G5sY0IWqSNUMnRptuJmw

🔗 Lambert Labs Links 🔗 :

🌎 Website: https://lambertlabs.com/​​

📱 Twitter: https://twitter.com/lambertlabs​

📝 LinkedIn: https://www.linkedin.com/company/lambertlabs

📂 GitHub: https://github.com/lambertlabs​​

If you’re interested in finding out how we use Python to develop great software, please visit our Python software development page.

Welcome to Learning at Lambert Labs session #10. This week, Tom Schafer shows us how to train machine learning models on language and actually produce code snippets using trained neural networks.

In Today’s Learning Session:

• Quick breakdown of neural networks, deep learning and transformers
• What are language models?
• Demonstration of language model using Keras library
• Training and testing the model using Django docs
• GPT3 trained model introduction from OpenAPI
• GPT3’s own news article
• Code generation: Python, React, SQL
• Industry disrupting / ethics of machine learning?
• Q&A from our developers

🔊 Subscribe to our channel for weekly learning sessions! https://www.youtube.com/channel/UCi7G5sY0IWqSNUMnRptuJmw

🔗 Lambert Labs Links 🔗 :

🌎 Website: https://lambertlabs.com/​​

📱 Twitter: https://twitter.com/lambertlabs​

📝 LinkedIn: https://www.linkedin.com/company/lambertlabs/

📂 GitHub: https://github.com/lambertlabs​​

Welcome to Learning at Lambert Labs session #9. This week, Amelia Crowther, explains how to use pre-existing C code from Python modules.

In Today’s Learning Session:

• Reasons to use C code from Python (old legacy apps, performance, access to the C standard library)
• Two methods: ctypes and creating a C extension
• Demo using ctypes
• ctype function annotations
• Creating a C extension module
• Demo using setup.py to create a C extension
• Q&A from our developers!

🔊 Subscribe to our channel for weekly learning sessions! https://www.youtube.com/channel/UCi7G5sY0IWqSNUMnRptuJmw

🔗 Lambert Labs Links 🔗 :

🌎 Website: https://lambertlabs.com/​​

📱 Twitter: https://twitter.com/lambertlabs​

📝 LinkedIn: https://www.linkedin.com/company/lambertlabs

📂 GitHub: https://github.com/lambertlabs​​

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Welcome to Learning at Lambert Labs session #8. This week, Aaron Elijah gives an introduction to using the Cython project to overcome bottlenecks in Python applications.

In Today’s Learning Session:

• CPython PyObjects.
• Machine code vs. Bytecode.
• Python garbage collection and CPU caching.
• Introduction to Cython programming language.
• Advantages of Cython vs. Python
• Demo with Flask and Mandelbrot sets.
• Profiling Cython and adding static types.

🔊 Subscribe to our channel for weekly learning sessions! https://www.youtube.com/channel/UCi7G5sY0IWqSNUMnRptuJmw

🔗 Lambert Labs Links 🔗 :

🌎 Website: https://lambertlabs.com/​​

📱 Twitter: https://twitter.com/lambertlabs​

📝 LinkedIn: https://www.linkedin.com/company/lambertlabs

📂 GitHub: https://github.com/lambertlabs​​

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Welcome to Learning at Lambert Labs session #7. This week, Ramin Tawab gives an introduction to the first steps of making a decentralised app using the Ethereum blockchain.

In Today’s Learning Session:

• Client-Server model.
• Decentralised model.
• What is a Blockchain?
• How all regular Web API requests and messages are eventually handled by the backend server.
• Ethereum blockchain (gas and transactions per blocks).
• Overview of local development tools including Ganache , Metamask and Truffle
• Example with simple messenger app
• Q&A from our developers.

🔊 Subscribe to our channel for weekly learning sessions! https://www.youtube.com/channel/UCi7G5sY0IWqSNUMnRptuJmw

🔗 Lambert Labs Links 🔗 :

🌎 Website: https://lambertlabs.com/​

📱 Twitter: https://twitter.com/lambertlabs​

📝 LinkedIn: https://www.linkedin.com/company/lambertlabs

📂 GitHub: https://github.com/lambertlabs​

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