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Asked: 2024-09-27T13:14:43+05:30 In:

What steps should I follow to install the most recent versions of NumPy and SciPy on Ubuntu 14.04 LTS?

anonymous user

I recently dusted off my old Ubuntu 14.04 LTS machine, wanting to resurrect it for some data analysis projects I’ve been meaning to dive into. The thing is, I need to install the latest versions of NumPy and SciPy, but I’ve hit a bit of a wall here.

It’s been a while since I did any kind of package management on Linux, and honestly, I’m feeling a little rusty. I remember the days of using `apt-get` and `pip`, but the whole thing feels like a maze right now. I want to make sure I’m not just installing the versions in the default repositories (which are probably outdated), and I really want to get the cutting-edge features that come with the latest releases.

I’ve done some digging online, and I’ve seen a mix of instructions floating around. Some people are suggesting using `pip`, while others swear by creating a virtual environment first. I’m just not sure what route to take to avoid conflicts with any existing Python packages. Should I upgrade pip beforehand? What are the best practices for this sort of installation in an older OS like 14.04?

Also, I’ve heard a bit about using Anaconda, but I’m not sure if it would work well on my outdated system. Would that be overkill? I just want a straightforward way to get NumPy and SciPy up and running without pulling my hair out. I’ve got Python 2.7 installed, so I’m mostly interested in versions that are compatible with that.

If anyone can lay out a clear step-by-step process for installing the latest versions of NumPy and SciPy (including any potential concerns or pitfalls), that would be amazing. And hey, any personal anecdotes about your own experiences with this would be super helpful too! I could really use some guidance before I end up deep in dependency hell. Thanks in advance!

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    2 Answers

    1. anonymous user



      Installing NumPy and SciPy on Ubuntu 14.04

      Installing NumPy and SciPy on Ubuntu 14.04

      So, you’re trying to get NumPy and SciPy installed on your old Ubuntu 14.04 machine – I totally get that! It can feel super daunting, especially with all the different options out there. Here’s a simple step-by-step guide that could really help you out.

      Step 1: Upgrade pip

      First things first, let’s upgrade pip to make sure we’re getting the latest packages. Open your terminal and run:

      pip install --upgrade pip

      Step 2: Create a Virtual Environment (Recommended)

      Creating a virtual environment is a good idea to avoid conflicts with existing packages. Here’s how to do it:

      sudo apt-get install python-virtualenv
virtualenv myenv
source myenv/bin/activate

      Now you’re in your virtual environment! Your prompt should look a bit different, indicating that you’re inside it.

      Step 3: Install NumPy and SciPy

      Now that we have the virtual environment set up, let’s install NumPy and SciPy:

      pip install numpy
pip install scipy

      These commands will get you the latest versions available.

      Step 4: Deactivate the Virtual Environment

      Once you’re done with your work, you can deactivate the virtual environment by running:

      deactivate

      About Anaconda

      Using Anaconda could be an option too, and it’s pretty good for managing packages and environments. But keep in mind, it’s a hefty install and might take up more space than you want on an old machine. If you’re just looking for NumPy and SciPy, I’d stick with the virtual environment approach.

      One Last Thing

      Since you’re on Python 2.7, make sure to keep that in mind while installing, as some packages might have dropped support for it over time.

      And hey, don’t stress too much about it! We all get stuck sometimes, and it’s part of the learning curve. Just take it step by step, and you’ll have those packages up and running before you know it!

      Good luck with your data analysis projects!


    2. anonymous user


      To install the latest versions of NumPy and SciPy on your Ubuntu 14.04 LTS machine, you’ll want to make sure you’re using the appropriate tools to avoid conflicts and ensure compatibility with your installed Python 2.7. First, it’s a good idea to create a virtual environment to keep your packages organized and isolated from the system Python installation. You can achieve this by installing `virtualenv` using apt with the command: sudo apt-get install python-virtualenv. Once installed, you can create a new virtual environment by navigating to your project directory and running virtualenv venv. Activate the virtual environment with source venv/bin/activate. This way, any packages you install using pip will not interfere with the global Python installation.

      Next, you’ll want to upgrade your pip to ensure you have the latest version, which can be done with pip install --upgrade pip. After that, you can install the cutting-edge versions of NumPy and SciPy with pip install numpy scipy. This will fetch the latest compatible versions from the Python Package Index (PyPI). It’s also worth checking that your system meets the dependencies required by the libraries you’re installing. If you encounter any issues during the installation, a common pitfall is the absence of certain system libraries, which may necessitate installing some development packages via sudo apt-get install build-essential. Regarding Anaconda, while it can simplify package management and deployment, it might indeed be overkill for your needs; sticking with pip in a virtual environment is typically a more lightweight solution for straightforward projects. Personal experience has shown that keeping the virtual environment tidy and only installing what’s necessary can significantly reduce the likelihood of encountering dependency issues.


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