Hands-On Blockchain for Python Developers
Learn how to implement real-world decentralized applications using Python, Vyper, Populus, and Ethereum.
What You Will Learn
Author
Arjuna Sky Kok
Arjuna Sky Kok has experience more than 10 years in expressing himself as a software engineer. He has developed web applications using Symfony, Laravel, Ruby on Rails, and Django. He also has built mobile applications on top of Android and iOS platforms.
Currently, he is researching Ethereum technology. Other than that, he teaches Android and iOS programming to students.
He graduated from Bina Nusantara University with majors in Computer Science and Applied Mathematics. He always strives to become a holistic person by enjoying leisure activities, such as dancing Salsa, learning French, and playing StarCraft 2. He lives quietly in the bustling city of Jakarta.
Neural Network Projects with Python
Build your Machine Learning portfolio by creating 6 cutting-edge Artificial Intelligence projects using neural networks in Python.
What You Will Learn
Author
James Loy has more than five years, expert experience in data science in the finance and healthcare industries. He has worked with the largest bank in Singapore to drive innovation and improve customer loyalty through predictive analytics. He has also experience in the healthcare sector, where he applied data analytics to improve decision-making in hospitals. He has a master's degree in computer science from Georgia Tech, with a specialization in machine learning.
His research interest includes deep learning and applied machine learning, as well as developing computer-vision-based AI agents for automation in industry.
Learn how to implement real-world decentralized applications using Python, Vyper, Populus, and Ethereum.
What You Will Learn
- Understand blockchain technology and what makes it an immutable database
- Use the features of web3.py API to interact with the smart contract
- Create your own cryptocurrency and token in Ethereum using Vyper
- Use IPFS features to store content on the decentralized storage platform
- Implement a Twitter-like decentralized application with a desktop frontend
- Build decentralized applications in the shape of console, web, and desktop applications
Author
Arjuna Sky Kok
Arjuna Sky Kok has experience more than 10 years in expressing himself as a software engineer. He has developed web applications using Symfony, Laravel, Ruby on Rails, and Django. He also has built mobile applications on top of Android and iOS platforms.
Currently, he is researching Ethereum technology. Other than that, he teaches Android and iOS programming to students.
He graduated from Bina Nusantara University with majors in Computer Science and Applied Mathematics. He always strives to become a holistic person by enjoying leisure activities, such as dancing Salsa, learning French, and playing StarCraft 2. He lives quietly in the bustling city of Jakarta.
Neural Network Projects with Python
Build your Machine Learning portfolio by creating 6 cutting-edge Artificial Intelligence projects using neural networks in Python.
What You Will Learn
- Learn various neural network architectures and its advancements in AI
- Master deep learning in Python by building and training neural network
- Master neural networks for regression and classification
- Discover convolutional neural networks for image recognition
- Learn sentiment analysis on textual data using Long Short-Term Memory
- Build and train a highly accurate facial recognition security system
Author
James Loy has more than five years, expert experience in data science in the finance and healthcare industries. He has worked with the largest bank in Singapore to drive innovation and improve customer loyalty through predictive analytics. He has also experience in the healthcare sector, where he applied data analytics to improve decision-making in hospitals. He has a master's degree in computer science from Georgia Tech, with a specialization in machine learning.
His research interest includes deep learning and applied machine learning, as well as developing computer-vision-based AI agents for automation in industry.