In the installation process of Anaconda, you choose to install visual studio code and that is it. But I would like some help in my situation: My objective: I want to use visual studio code with anaconda. I have a mac with anaconda 1.5.1 installed. I installed visual studio code. I updated anaconda (from the terminal) now it. In this Video I am going to show How to Down and install Anaconda (Python distribution) on your Mac OS X.

To learn machine learning, we will use the Python programming language in this tutorial. So, in order to use Python for machine learning, we need to install it in our computer system with compatible IDEs (Integrated Development Environment).

In this topic, we will learn to install Python and an IDE with the help of Anaconda distribution. Bru server 2.0.2 free download for mac.

Anaconda distribution is a free and open-source platform for Python/R programming languages. It can be easily installed on any OS such as Windows, Linux, and MAC OS. It provides more than 1500 Python/R data science packages which are suitable for developing machine learning and deep learning models.

Anaconda distribution provides installation of Python with various IDE's such as Jupyter Notebook, Spyder, Anaconda prompt, etc. Hence it is a very convenient packaged solution which you can easily download and install in your computer. It will automatically install Python and some basic IDEs and libraries with it.

Below some steps are given to show the downloading and installing process of Anaconda and IDE:

Step-1: Download Anaconda Python:

• To download Anaconda in your system, firstly, open your favorite browser and type Download Anaconda Python, and then click on the first link as given in the below image. Alternatively, you can directly download it by clicking on this link, https://www.anaconda.com/distribution/#download-section.

• After clicking on the first link, you will reach to download page of Anaconda, as shown in the below image:

• Since, Anaconda is available for Windows, Linux, and Mac OS, hence, you can download it as per your OS type by clicking on available options shown in below image. It will provide you Python 2.7 and Python 3.7 versions, but the latest version is 3.7, hence we will download Python 3.7 version. After clicking on the download option, it will start downloading on your computer.

Note: In this topic, we are downloading Anaconda for Windows you can choose it as per your OS.

Step- 2: Install Anaconda Python (Python 3.7 version):

Once the downloading process gets completed, go to downloads → double click on the '.exe' file (Anaconda3-2019.03-Windows-x86_64.exe) of Anaconda. It will open a setup window for Anaconda installations as given in below image, then click on Next.

• It will open a License agreement window click on 'I Agree' option and move further.

• In the next window, you will get two options for installations as given in the below image. Select the first option (Just me) and click on Next.

• Now you will get a window for installing location, here, you can leave it as default or change it by browsing a location, and then click on Next. Consider the below image:

• Now select the second option, and click on install.

• Once the installation gets complete, click on Next.

• Now installation is completed, tick the checkbox if you want to learn more about Anaconda and Anaconda cloud. Click on Finish to end the process.

Note: Here, we will use the Spyder IDE to run Python programs.

Step- 3: Open Anaconda Navigator

• After successful installation of Anaconda, use Anaconda navigator to launch a Python IDE such as Spyder and Jupyter Notebook.
• To open Anaconda Navigator, click on window Key and search for Anaconda navigator, and click on it. Consider the below image:

• After opening the navigator, launch the Spyder IDE by clicking on the Launch button given below the Spyder. It will install the Spyder IDE in your system.

Run your Python program in Spyder IDE.

• Open Spyder IDE, it will look like the below image:

• Write your first program, and save it using the .py extension.
• Run the program using the triangle Run button.
• You can check the program's output on console pane at the bottom right side.

Step- 4: Close the Spyder IDE.

Anaconda is a package manager, an environment manager, and Python distribution that contains a collection of many open source packages. This is advantageous as when you are working on a data science project, you will find that you need many different packages (numpy, scikit-learn, scipy, pandas to name a few), which an installation of Anaconda comes preinstalled with. If you need additional packages after installing Anaconda, you can use Anaconda's package manager, conda, or pip to install those packages. This is highly advantageous as you don't have to manage dependencies between multiple packages yourself. Conda even makes it easy to switch between Python 2 and 3 (you can learn more here). In fact, an installation of Anaconda is also the recommended way to install Jupyter Notebooks which you can learn more about here on the DataCamp community.

This tutorial will include:

With that, let's get started!

Download and Install Anaconda

1. Go to the Anaconda Website and choose a Python 3.x graphical installer (A) or a Python 2.x graphical installer (B). If you aren't sure which Python version you want to install, choose Python 3. Do not choose both.

2. Locate your download and double click it.

When the screen below appears, click on Next.

3. Read the license agreement and click on I Agree.

4. Click on Next.

5. Note your installation location and then click Next.

6. This is an important part of the installation process. The recommended approach is to not check the box to add Anaconda to your path. This means you will have to use Anaconda Navigator or the Anaconda Command Prompt (located in the Start Menu under 'Anaconda') when you wish to use Anaconda (you can always add Anaconda to your PATH later if you don't check the box). If you want to be able to use Anaconda in your command prompt (or git bash, cmder, powershell etc), please use the alternative approach and check the box.

8. You can install Microsoft VSCode if you wish, but it is optional.

9. Click on Finish.

Add Anaconda to Path (Optional)

This is an optional step. This is for the case where you didn't check the box in step 6 and now want to add Anaconda to your Path. The advantage of this is that you will be able to use Anaconda in your Command Prompt, Git Bash, cmder etc.

1. Open a Command Prompt.

2. Check if you already have Anaconda added to your path. Enter the commands below into your Command Prompt. This is checking if you already have Anaconda added to your path. If you get a command not recognized error like in the left side of the image below, proceed to step 3. If you get an output similar to the right side of the image below, you have already added Anaconda to your path.

3. If you don't know where your conda and/or python is, open an Anaconda Prompt and type in the following commands. This is telling you where conda and python are located on your computer. Samsung secret zone for mac.

4. Add conda and python to your PATH. You can do this by going to your Environment Variables and adding the output of step 3 (enclosed in the red rectangle) to your path. If you are having issues, here is a short video on adding conda and python to your PATH.

5. Open a new Command Prompt. Try typing conda --version and python --version into the Command Prompt to check to see if everything went well.

Conclusion

This tutorial provided a quick guide on how to install Anaconda on Windows as well as how to deal with a common installation issue. If you would like to learn more about Anaconda, you can learn more about it here. If you aren't sure what to do to start coding on your computer, I recommend you check out the the Jupyter Notebook Definitive Guide to learn how to code using Jupyter Notebooks. If you want to learn about Python for Data Science, I suggest you check out the DataCamp course Intro to Python for Data Science. If you any questions or thoughts on the tutorial, feel free to reach out in the comments below or through Twitter.