Installing the Anaconda platform will install the following: Python; specifically the CPython interpreter that we discussed in the previous section. A number of useful Python packages, like matplotlib, NumPy, and SciPy.
In this mini-tutorial, you will learn how to install Python (a computer programming language) and Anaconda (a distribution that automatically installs Python and a bunch of auxillary packages useful for data science).
Can I install Anaconda? You do not need to uninstall other Python installations or packages before installing Anaconda.
Click Start�All Programs�Anaconda (64-bit)�Anaconda Command Prompt. � A command prompt window will open. Type idle to run the Python interpreter. A new window titled Python Shell will open and you will see the Python >>> command prompt.
If you're a beginner in data science, use Anaconda; if you're more experienced with the command line and cannot find packages for your project (that can be outside the data science domain), then go for Python's pip and PyPi.
Once Python has completed the downloading and installation process, open Windows PowerShell using the Start menu (lower left Windows icon). Once PowerShell is open, enter Python --version to confirm that Python3 has installed on your machine.
After the installation of Anaconda is complete, you can go to the Windows start menu and select the Anaconda Prompt. This opens the Anaconda Prompt. 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).
Anaconda is a distribution of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment.
While Python is a versatile programming language that can be used for a wide range of applications, Anaconda provides a more specialized environment for machine learning and data science, with pre-installed packages and a package manager that make it easier to manage dependencies and resolve conflicts between packages.
Python is a general-purpose programming language that can be used to make both web and desktop apps, whereas Anaconda is limited to data science and machine learning. As a data science tool, Anaconda doesn't require its contributors to be programmers.
There are different ways to install Python and Jupyter on your computer. But especially for new users, it is highly recommended to opt for Anaconda. It will install, not only Python but also the Jupyter Notebook App and many scientific computing and data science packages.
Both pip and conda are included in Anaconda and Miniconda, so you do not need to install them separately. Conda environments replace virtualenv, so there is no need to activate a virtualenv before using pip.
Over 250 packages are automatically installed with Anaconda. Over 7,500 additional open-source packages (including R) can be individually installed from the Anaconda repository with the conda install command. Thousands of other packages are available from Anaconda.org.
While it is mostly unattended, the download and installation of Anaconda can take a fair amount of time (approximately 10 to 15 minutes, depending on the speed of your system), so it is highly recommended to do this before you arrive at the tutorial session (and when you have access to a decent internet connection).
Anaconda python distribution from Continuum Analytics (Conda) is an open source package management system and environment management system for installing multiple versions of software packages and their dependencies and switching easily between them.
To check if Python is installed on your Windows machine using the Start Menu, follow these steps: Press the Windows key or click on the Start button to open the Start Menu. Type "python". If Python is installed, it should show up as the best match.
After installation, Python may be launched by finding it in Start. Alternatively, it will be available from any Command Prompt or PowerShell session by typing python . Further, pip and IDLE may be used by typing pip or idle . IDLE can also be found in Start.
By default the Python installer for Windows places its executables in the user's AppData directory, so that it doesn't require administrative permissions. If you're the only user on the system, you might want to place Python in a higher-level directory (e.g. C:\Python3. 7 ) to make it easier to find.
The fundamental difference between pip and Conda packaging is what they put in packages. Pip packages are Python libraries like NumPy or matplotlib . Conda packages include Python libraries (NumPy or matplotlib ), C libraries ( libjpeg ), and executables (like C compilers, and even the Python interpreter itself).
The offensive capabilities of these two creatures are similar, but the anaconda is much stronger and gets the advantage.
anaconda is the metapackage that includes all of the Python packages comprising the Anaconda distribution. python=3.9 is the package and version you want to install in this new environment.
PyCharm is an IDE that integrates with IPython Notebook, has an interactive Python console, and supports Anaconda as well as multiple scientific packages. PyCharm also supports creating virtual environments for Python with conda.