Hevy
Fitbod
Strong.app
JEFIT
MyFitnessPal
Kiwi Fitness
SHRED
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iPython
Jupyter
PyCharm
Spyder
IDLE
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Hevy is a free gym workout tracker & planner app for iOS and Android. Simple workout logging, insightful analytics, and a growing community of gym athletes.
Hevy
iPythonHevy is recommended for fitness enthusiasts who enjoy tracking detailed workout data, individuals who like to engage with a community of like-minded individuals for motivation, and anyone looking for a versatile fitness app to support various types of workout regimens.
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Based on our record, iPython should be more popular than Hevy. It has been mentiond 20 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Hevy | Senior Mobile Engineer | Remote | Full-time | https://hevyapp.com Weโre looking for a lead mobile/full-stack engineer to join our team. Youโll take full technical ownership of a mobile+web app used by +2 million users. Youโll architect and implement features, and lead a small team of developers. Our tech stack includes: React, React-Native, iOS, Android, Next.js, Node.js, express.js, Postgres. Learn more... - Source: Hacker News / almost 3 years ago
Hevyapp.com lol, if you log into your account you should be met with a web interface for making routines. Source: about 3 years ago
On the web interface, your can nest your workouts into folder so that they're easy to track and organize. For example if you're on a PPL 6 week meso-cycle you can create every workout for the next 6 weeks on hevy.com . But once synced to the Apple Watch the folders just become a flat list which you have to scroll through to find the right workout. Would be nice if folder structure transferred to apple watch . Source: about 4 years ago
Hey oneman_aus! No known memory issues at the moment. Would you mind reaching out to me so I can investigate the issue further? Desmond at hevyapp.com. Source: over 4 years ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 10 months ago
As alluded to in Poetry2Nix Development Flake with Matplotlib GTK Support, Iโm currently in the process of getting my โnewโ python workflow up to speed. My second problem, after dependency and environment management, was that fancy REPLs like ipython or ptpython donโt jazz well with the standard comint based inferior python repl that comes with python-mode. One can basically only run ipython with the... - Source: dev.to / about 2 years ago
Third, if possible use a command line interpreter to test things out. I recommend ipython for this purpose. You can use your browser's developer console this way if you are learning Javascript. Source: over 3 years ago
IJulia is an interactive notebook environment powered by the Julia programming language. Its backend is integrated with that of the Jupyter environment. The interface is web-based, similar to the iPython notebook. It is open-source and cross-platform. - Source: dev.to / over 3 years ago
Also, take a look at installing iPthon to give you a much richer shell environment. This underpins Jupyter Notebooks, so is well known, proven and trusted. Source: over 3 years ago
Fitbod - Personalized Strength-Training powered by Machine Learning
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
Strong.app - Strenght training logger.
PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...
JEFIT - Jefit is the #1 popular gym workout app for Android and iOS. Jefit allows you to manage your training routine and keep track of your workout progress easily.
Spyder - The Scientific Python Development Environment