![]() To close the Anaconda Prompt, you can either close the window with the mouse, or type exit, no parenthesis necessary. The () is needed to stop the Python interpreter and get back out to the Anaconda Prompt. Note the double parenthesis at the end of the exit() command. To close the Python interpreter, type exit() at the prompt >. You should see the Zen of Python by Tim Peters With the interpreter running, you will see a set of greater-than symbols > before the cursor. You should see something like Python 3.6.1. The python command starts the Python interpreter, also called the Python REPL (for Read Evaluate Print Loop). The black screen and text that makes up the Anaconda Prompt doesn't look like much, but it is really helpful for problem solvers using Python.Īt the Anaconda prompt, type python and hit. ![]() Anaconda is the Python distribution and the Anaconda Prompt is a command line shell (a program where you type in commands instead of using a mouse). exe installerĪt the beginning of the install, you need to click Next to confirm the installation.Īt the Advanced Installation Options screen, I recommend that you do not check "Add Anaconda to my PATH environment variable"Īfter the installation of Anaconda is complete, you can go to the Windows start menu and select the Anaconda Prompt. Once the download completes, open and run the. The download is quite large (over 500 MB) so it may take a while to for Anaconda to download. You can still download Anaconda if you click and don't enter your Work Email address. If you are unsure if your computer is running a 64-bit or 32-bit version of Windows, select 64-bit as 64-bit Windows is most common. For problem solvers, select the Python 3.6 version. At the time of writing, the most recent release was the Python 3.6 Version. Select Windows where the three operating systems are listed.ĭownload the most recent Python 3 release. The Anaconda Downloads Page will look something like this: Open the Anaconda Prompt and run some Python code ![]() These three packages are very useful for problem solvers and will be discussed in subsequent chapters.įollow the steps below to install the Anaconda distribution of Python on Windows. Anaconda comes bundled with about 600 packages pre-installed including NumPy, Matplotlib and SymPy. Anaconda is free (although the download is large which can take time) and can be installed on school or work computers where you don't have administrator access or the ability to install new programs. I think the Anaconda distribution of Python is the best option for problem solvers who want to use Python. This section details the installation of the Anaconda distribution of Python on Windows 10. Installing Anaconda on Windows Installing Anaconda on Windowsįor problem solvers, I recommend installing and using the Anaconda distribution of Python. Problem Solving with Python Book Construction ![]() Open the Anaconda Prompt from the Windows start menu The Windows users can find an option in WinPython.5. Now, run the following command from the Linux terminal −Ĭanopy and ActiveState are the most sought after choices for Windows, macOS and common Linux platforms. You can choose between adding Anaconda in PATH variable and registering Anaconda as your default Python.įor installation on Linux, download installers for 32 bit and 64 bit installers from the downloads page − Installation is a fairly straightforward wizard based process. For installation on Windows, 32 and 64 bit binaries are available − The advantage of Anaconda is that you have access to over 720 packages that can easily be installed with Anaconda's Conda, a package, dependency, and environment manager.Īnaconda distribution is available for installation at. Package versions are managed by the package management system Conda. Matplotlib and lots of other useful (data) science tools form part of the distribution. The distribution makes package management and deployment simple and easy. Anaconda is a free and open source distribution of the Python and R programming languages for large-scale data processing, predictive analytics, and scientific computing. ![]()
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