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materials | sdk | |
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199 | 306 | |
4,603 | 9,738 | |
1.1% | 1.1% | |
9.5 | 10.0 | |
6 days ago | 1 day ago | |
HTML | Dart | |
MIT License | BSD 3-clause "New" or "Revised" License |
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
sdk
- Lançamento do App Edudu
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Top Paying Programming Technologies 2024
50. Dart - $55,862
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The Road to Enhanced Flutter Development Part 1
The methods and other important information are documented in detail here. I have been exploring it and received some advice from Norbert 🙌.
- Flutter 3 on Devuan 4: 始め方
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Flutter 3 on Devuan 4: Getting started
Programming Language: Dart
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Flutter: Unleashing the Power of Cross-Platform App Development!
Official Dart website: dart.dev Dart Language Tour: dart.dev/guides/language/language-tour Dart API Reference: api.dart.dev
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Is it possible to create Android apps using Rust?
Flutter is written in Dart, and its C interop story isn't strong (all functions that have to be callable from C have to be specifically annotated, and it doesn't support named parameters, which are used all over the place in Flutter). Here is my ticket for that.
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What's the Best Strategy to Attract Investors for a Flutter-Powered eCommerce Venture?
Flutter isn't like HTML/CSS, it's a full framework built on the Dart programming language(https://dart.dev).
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Python running on the Dart VM?
Yes, that's a good point. I did not propose that it would be easy. The question that I'm looking to find an answer for is "what are the parts that would make this clearly absurd". It should be noted that Dart is adding native assets https://github.com/dart-lang/sdk/issues/50565 and, as you said, it already has good FFI support. The question is: what are the actual features that are missing to make this feasible?
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Easily use Firehose API on Bluesky Social with Dart and Flutter
Dart programming language | Dart
What are some alternatives?
learnxinyminutes-docs - Code documentation written as code! How novel and totally my idea!
obs-websocket - Remote-control of OBS Studio through WebSocket
asdf - Extendable version manager with support for Ruby, Node.js, Elixir, Erlang & more
flutterfire - 🔥 A collection of Firebase plugins for Flutter apps.
starter_architecture_flutter_firebase - Time Tracking app with Flutter & Firebase
missing-semester - The Missing Semester of Your CS Education 📚
Flutter - Flutter makes it easy and fast to build beautiful apps for mobile and beyond
codewars.com - Issue tracker for Codewars
developer-roadmap - Interactive roadmaps, guides and other educational content to help developers grow in their careers.
buildozer - Generic Python packager for Android and iOS
TypeScript - TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
kotlin - The Kotlin Programming Language.