Ardour is particularly recommended for musicians, audio engineers, producers, and podcasters who need a comprehensive and adaptable audio production platform. It is also a great choice for Linux users looking for a professional DAW, and for anyone interested in using open-source software for their audio projects.
Pandas is particularly recommended for data scientists, analysts, and engineers who need to perform data cleaning, transformation, and analysis as part of their work. It is also suitable for academics and researchers dealing with data in various formats and needing powerful tools for their data-driven research.
Copy Yes, you can start a project from scratch and end up with a great sounding track using Ardour. Specially if you use mostly audio. For those like me who use both audio and midi editing, it may easily drive you to a real nightmare. The DAW doesn't behave as you would expect. The "share regions" will get you good as you edit one region and it "magically" ruins the original one. Oh, just use copy instead of share, like they say right? Nope. It still bugs you to the bone. So you have to go manually "unlinking" every single region. Some regions may be a single note, for example, and you can miss that. Oh, so I will consolidate all regions before unlinking! Nope, there is not such thing here. Another example: You want to keep only a certain midi note on your midi track, the C3 that is you Drum Kick. You cannot do it, unless if you go deleting every single other note, one by one! Terrible isn't it? No, you cannot copy a single note through the entire track. Sometimes I managed to select a note through the track and delete it. So I took note how I did it and... Next time it's a negative! With so many different selections of tools, smart, playhead, etc, it appears the DAW confuses itself and do not respond appropriately. So... my advice to you is not to fall for what I did, which is believing Ardour can do everything it says it does, cause it doesn't. Keep simple with audio recording and editing. Do your midi stuff elsewhere and run from the nightmare I got myself into. Nevertheless, it is great cost/benefit DAW. Worthy a try. Yes, you can start a project from scratch and end up with a great sounding track using Ardour. Specially if you use mostly audio. For those like me who use both audio and MIDI editing, it may easily drive you into a real nightmare. The DAW doesn't behave as you would expect. The "share regions" will get you good as you edit one region and it "magically" ruins the original one. Oh, just use copy instead of share, like they say right? Nope. It still bugs you to the bone. So you have to go manually "unlinking" every single region. Some regions may be a single note, for example, and you can miss that. Oh, so I will consolidate all regions before unlinking! Nope, there is not such thing here. Another example: You want to keep only a certain midi note on your midi track, the C3 that is you Drum Kick. You cannot do it, unless if you go deleting every single other note, one by one! Terrible isn't it? No, you cannot copy a single note through the entire track. Sometimes I managed to select a note through the track and delete it. So I took note how I did it and... Next time it's a negative! With so many different selections of tools, smart, playhead, etc, it appears the DAW confuses itself and do not respond appropriately. So... my advice to you is not to fall for what I did, which is believing Ardour can do everything it says it does, cause it doesn't. Keep simple with audio recording and editing. Do your midi stuff elsewhere and run from the nightmare I got myself into. Nevertheless, it is great cost/benefit DAW. Worthy a try.
Based on our record, Pandas should be more popular than Ardour. It has been mentiond 219 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.
Effects you can hear. [0] https://ardour.org/ [1[ https://cybershow.uk/. - Source: Hacker News / over 1 year ago
I'm the lead author of Ardour [0], and I'd very much like to hear more about your frustrations, since over the next 1-2 years, paying attention to non-European musical culture is one of the things I hope to focus on during development. You can reach me via the email address in my profile, or maybe use our forums at discourse.ardour.org. Thanks. [0] https://ardour.org/ <= a cross-platform open source DAW that has... - Source: Hacker News / over 1 year ago
One extra detail, something I've learned from 20 years of working on dragging all kinds of objects around the GUI of Ardour [0]: handle ALL button press and release events as drag events where there is no movement. [0] https://ardour.org/. - Source: Hacker News / over 1 year ago
I am aware of the 'Real Tone Cable' however I am curious if this is what I should be buying if I also intend on recording my playing in a software such as 'Ardour'. Source: almost 2 years ago
I just loaded an instance of samplv https://samplv1.sourceforge.io/ into the Digital Audio Workstation (DAW), Ardour https://ardour.org/ . Source: almost 2 years ago
Libraries for data science and deep learning that are always changing. - Source: dev.to / about 2 months ago
# Read the content of nda.txt Try: Import os, types Import pandas as pd From botocore.client import Config Import ibm_boto3 Def __iter__(self): return 0 # @hidden_cell # The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. # You might want to remove those credentials before you share the notebook. Cos_client = ibm_boto3.client(service_name='s3', ... - Source: dev.to / 2 months ago
As with any web scraping or data processing project, I had to write a fair amount of code to clean this up and shape it into a format I needed for further analysis. I used a combination of Pandas and regular expressions to clean it up (full code here). - Source: dev.to / 2 months ago
Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 4 months ago
This tutorial provides a concise and foundational guide to exploring a dataset, specifically the Sample SuperStore dataset. This dataset, which appears to originate from a fictional e-commerce or online marketplace company's annual sales data, serves as an excellent example for learning and how to work with real-world data. The dataset includes a variety of data types, which demonstrate the full range of... - Source: dev.to / 10 months ago
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