What is Anaconda for Python & Why Should You Learn It?
Python’s versatility allows it to be used on the front end, back end, or as a complete stack for an effective data transformation. Though the standard Python library has a wealth of functionalities, there are certain times when we require specific modules that are not present in the standard library. This is where Anaconda comes into the picture.
If you are a newbie and want a solid grip on python, then Anaconda is what you seek. It offers seamless installation using the Jupyter Notebook and allows you to begin working hassle-free. Moreover, Anaconda Python provides a diverse set of libraries to make your applications more interactive.
What is Anaconda for Python?
Anaconda Python is a free and open-source programming language trendy for developing and running multiple programs. With the Anaconda platform, the programming language – python extensively comes into use for scientific computing, machine learning, and data science.
Having seamless package distribution and maintenance acts as an add-on benefit. Because of its numerous packages and features, python is a preferred programming language among data scientists.
Why Should You Learn Anaconda for Python?
A package distribution called Anaconda was created specifically for data science. Conda, a package, and an environment manager often come coupled with it. Conda is typically used to build isolation environments for projects that employ various python and/or package versions.
When you first download Anaconda, it includes Conda, Python, and more than 150 scientific packages and their dependencies. For users conscious of disc space, there is also Miniconda, a smaller installation that includes Conda and Python.
Anaconda is a very hefty download (500 MB) because it comes with the most popular data insights programs in python. Conda, which comes as standard with the standard edition, can still be used to install any of the available packages.
What Are The Benefits Of Using Anaconda For Python?
● Installing the desired Python version at the user level.
● Complete independence in installing/updating packages without depending on system libraries or administrative rights.
● If you only have access to a subset of libraries, Conda installs binary packages rather than compilation resources like pip.
● It basically solves the issue of needing to figure out which release or version of package X is compatible with which release or version of package Y, both of which are required for the installation of package Z.
● It is offered in two different flavors: a full-meal version that comes with Numpy, SciPy, PyQt, Spyder IDE, etc., and a minimal/ala-carte version (miniconda), which lets you install only the parts you require as you go.
● There is no potential for harm to crucial system libraries.
Beginners who want to learn python will love Anaconda as a platform. With its various features and ease of installation and use, you can get going right away. By learning how to use other IDEs like PyCharm or Rodeo or by investigating more data science tools like R or Julia as you advance with Anaconda, you may keep improving your abilities.
The management of your environments and packages using Anaconda, as well as the creation of unique environments using Conda, are other things you might want to master. Anaconda will be an excellent starting point for anything you decide to accomplish. You can head to Education Nest and enroll in the Data Scientist Bootcamp course to acquire in-depth knowledge in this field.