There are ways to bulk install everything you need using PIP, And PIP only installs what we demand/command from the terminal, nothing additional stuff, unless we ask for it.Īlso, keep in mind, if you want to do data science, ML, Deep learning things, go for 64-bit version of python, so that every module you need can be installed without countering errors. Unless you have a significant benefit when doing so, which could be more pronounced for those in a professional environment. So, if your machine is slow and you have less space, Anaconda is a big NO-NO for you.Īnaconda (IMHO) is a finely tuned hype in the internet space of beginner python users.Īnd even if you have sufficient memory and a capable device, I don't find why should you spend that for things that you may never use. When you use conda command to install a python package, it usually pulls additional (maybe unnecessary for a beginner) packages along with it, thus consuming more & more space on your device. usually occupies 2-4 GB of space very easily.(There is a light installer known as miniconda, but it too goes on to consume memory considerably) This is really useful when you are first learning about these things. People use anaconda because it includes a lot of packages and manages dependancies. Spyder is an IDE that usually is included w Anaconda packaging. (Otherwise you'll have to be specific and observant of where is it that the new python packages being installed on your computer.)Ĭonda dist. Spyder and Anaconda do different things, but they are highly compatible. If you still want to have conda on your machine, go for it, but if you have python pre-installed, remove it first, and then use conda. If you're a beginner, and don't intend to do some comprehensive stuff in data science/ML field, I don't see any reason that you will need to install Anaconda. Anaconda distribution has been on my computer for last 2 years, on & off, so I feel that I have some experience using it.Īnaconda tries to be a Swiss army knife, and the fact remains, everything that is available with anaconda, can be manually installed using PIP.
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