vefani.blogg.se

1. #MINICONDA VS ANACONDA PYTHON INSTALL#
2. #MINICONDA VS ANACONDA PYTHON SOFTWARE#
3. #MINICONDA VS ANACONDA PYTHON CODE#
4. #MINICONDA VS ANACONDA PYTHON WINDOWS#

#MINICONDA VS ANACONDA PYTHON INSTALL#

You can download any Python library by using a command like this: conda install library_name Now, we want to install all the required Python libraries.

If that occurs, then close the command prompt and open the jupyter notebook via Anaconda prompt. I had some problems while opening the jupyter notebook with the command prompt at times. Whenever you want to open Jupyter notebook, open your command prompt or terminal and type in the following: jupyter notebook

If it is not working, then close the command prompt and reopen it. Now Jupyter notebook will be installed on your system. To install jupyter notebook, you need to open your command prompt or terminal and type in the following command: conda install jupyter What I’m using is Jupyter notebook, which is one of the best editors for machine learning. Hence, everything got messed up, I uninstalled miniconda and installed it again with the box checked. I didn’t do this when I first installed miniconda. You can click here to go to the official conda website and install Miniconda.Īgain, checkmark the box which says “ A dd to path “.

Once you have Python installed in your system, it’s time to install miniconda. Don’t forget to checkmark the box which says “ Add to path”. Step 1įirst things first, install Python if you don’t have it already. Let’s see how we can set up our machine learning environment. Setting up ML environment using Miniconda We can set up our tools and environment very easily in a few simple steps. Miniconda is similar to Anaconda, it includes Anaconda Prompt, but it does not comprise of Anaconda Navigator.īut don’t worry. You can install Python libraries easily, and your system will not have any issue with the overload.

#MINICONDA VS ANACONDA PYTHON SOFTWARE#

Miniconda is a lightweight software that almost does the job like Anaconda. You can use a baby Anaconda, which is known as Miniconda. My Anaconda Navigator was loading slowly, and even after many minutes, it was not launching. It can’t handle Anaconda easily since Anaconda is heavyweight software.īut I don’t want to install all the Python libraries all by myself since it is a complicated process. My current machine is slow enough to make me crazy.

#MINICONDA VS ANACONDA PYTHON WINDOWS#

But, I’m not using it anymore. At least with my current Windows machine. So you can use whatever you want with the help of Anaconda Navigator, which is a GUI (graphical user interface) that makes things easy.Įverything is there for you, and you can install extra libraries and tools with a single click. Then, if you type ‘ python ‘ in your terminal or command prompt, it will show the details of Python installed in your machine, and you will see ‘ Anaconda’ somewhere there.Īnaconda has all the tools and python libraries inside its stomach. That will make Anaconda your default Python. Note that while installing Anaconda, it will ask whether you want to “Add to path” or not. If you have a good high-speed machine with enough space, you can click here and download the Anaconda software and install it on your machine. The best software available for doing machine learning with Python is Anaconda. After that, you need to download one more software, either anaconda or miniconda. You can click here and download Python and install it on your machine. Nevertheless, I think you can use the same setup in those types of machines as well.įirst of all, you need to install Python. If you are using Linux or Mac, I honestly don’t know how effective this tutorial will be for you. So as of now, I can only tell you the environment setup for the Windows machine.

#MINICONDA VS ANACONDA PYTHON CODE#

In this article, I will try to talk to you through the setup that I use to code in Python for machine learning purposes. Let’s see how we can easily set up the best environment for implementing machine learning with minimum space and not losing efficiency.