materials
viewtouch
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materials | viewtouch | |
---|---|---|
199 | 12 | |
4,632 | 156 | |
1.1% | 2.6% | |
9.5 | 0.0 | |
5 days ago | over 1 year ago | |
HTML | C++ | |
MIT License | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
materials
- Think Python, 3rd Edition
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Collection of resources to get started on your programming journey
Python - Python.org - Official Python website with documentation and tutorials. - Codecademy Python Course - Real Python - Python tutorials and articles for all skill levels.
- I have started my Python self Learning Journey - Is one source enough?
- How to manage procrastination and lack of focus during learning?
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Other programing options?
Real Python (https://realpython.com/)
- Whats the best way to learn python for free?
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Best free sites to learn Python Courses
https://realpython.com are very good in my opinion.
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Recommended learning resources for rust
I know the official sites/books but am looking for something a bit more convenient and guided, similar to https://realpython.com/ which has really good text articles and also video courses covering specific topics.
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How do I get started with ML?
Learn Python: Python is the most popular language for ML and AI projects. Start by learning the basics of Python, then move on to more advanced topics. Some great resources for learning Python include: Codecademy's Python course: https://www.codecademy.com/learn/learn-python Real Python: https://realpython.com/ Mathematics: A solid understanding of mathematics, particularly linear algebra, calculus, probability, and statistics, is essential for ML. Here are some resources to help you learn: Khan Academy courses: Linear Algebra: https://www.khanacademy.org/math/linear-algebra Calculus: https://www.khanacademy.org/math/calculus-1 Probability and Statistics: https://www.khanacademy.org/math/statistics-probability 3Blue1Brown's YouTube series on Linear Algebra: https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab Data processing and manipulation: Familiarize yourself with popular Python libraries for data manipulation and analysis, such as NumPy, pandas, and matplotlib: NumPy: https://numpy.org/doc/stable/user/quickstart.html pandas: https://pandas.pydata.org/pandas-docs/stable/getting_started/intro_tutorials/index.html matplotlib: https://matplotlib.org/stable/tutorials/index.html Machine learning concepts: Learn about the basic concepts of ML, including supervised learning, unsupervised learning, and reinforcement learning. Some great resources include: Coursera's Machine Learning course by Andrew Ng: https://www.coursera.org/learn/machine-learning Google's Machine Learning Crash Course: https://developers.google.com/machine-learning/crash-course Fast.ai's Practical Deep Learning for Coders course: https://course.fast.ai/ Deep learning libraries: Get familiar with popular deep learning libraries such as TensorFlow and PyTorch: TensorFlow: https://www.tensorflow.org/tutorials PyTorch: https://pytorch.org/tutorials/ Specialize and work on projects: Choose an area of interest (such as natural language processing, computer vision, or reinforcement learning), and start working on projects to apply your skills. You can find datasets and project ideas from sources like: Kaggle: https://www.kaggle.com/ Papers With Code: https://paperswithcode.com/ Stay up-to-date and join the community: Follow ML blogs, podcasts, and conferences to stay current with the latest developments. Join ML communities and forums like r/MachineLearning on Reddit, AI Stack Exchange, or specialized Discord and Slack groups.
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FLOSSing for Lent 12/40 - Python
Real Python - A great place to learn python
viewtouch
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I created this point of sale system for restaurants and hospitality. The All-In-One has a 15.6" touchscreen running a Raspberry Pi Compute Module 4L and is made by Chipsee in Bejing, China. I'm helping a friend install it in a restaurant on the St. Lawrence River where he is the Executive Chef.
Giving me Windows 95 vibes haha. If it works though, it works, doesn't need to be fancy. This is a project originally started by OP in 1986 https://github.com/ViewTouch/viewtouch
I didn't realize the code was GPL but just found it at https://github.com/ViewTouch/viewtouch, which has lots of information. Awesome!
The sourcecode is available under GPL, version 3 and is hosted at GitHub. My Chef friend prepares the meals with instructions shown on a 24" touchscreen powered by a raspberry pi 400 which is mounted on a wall in his kitchen.
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POS system using QT (SQLite Embedded & Azure SQL sync)
The source code is available via https://github.com/ViewTouch/viewtouch
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Are there actually any software that's free as in freedom but not free as in beer?
ViewTouch point of sale offers the use of the software at no cost but does charge $49 a month for 24/7 support.
What are some alternatives?
learnxinyminutes-docs - Code documentation written as code! How novel and totally my idea!
missing-semester - The Missing Semester of Your CS Education 📚
developer-roadmap - Interactive roadmaps, guides and other educational content to help developers grow in their careers.
codewars.com - Issue tracker for Codewars
sdk - The Dart SDK, including the VM, dart2js, core libraries, and more.
flexboxfroggy - A game for learning CSS flexbox 🐸
shapez.io - shapez is an open source base building game on Steam inspired by factorio!
futurecoder - 100% free and interactive Python course for beginners
peps - Python Enhancement Proposals
awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.
W3Schools - W3Schools Full Offline Version
computer-science - :mortar_board: Path to a free self-taught education in Computer Science!