Data science tool for python programmers makes it easy to interpret and store data in a secure way
Data science tool for python programmers makes it easy to interpret and store data in a secure way
Pros
- Open source
- Highly customizable
Cons
- Requires extensive Python tool
Anaconda is a Python-based platform focused on data science.
Data science involves using scientific methods to derive knowledge from various types structured and unstructured data that has been collected. Data science often involves data mining and machine learning, and the field is becoming much more prevalent and sophisticated as companies collect more data as well as learn how to gather it and analyze it more efficiently and effectively.
Python is a high-level programming language that is often used for data science due to how accommodating it is to advanced mathematics. Anaconda is an open-source python distribution that focuses on data science. Note that Anaconda is also an R distribution, and R is a programming language designed specifically with statistical computing in mind.
Anaconda is highly customizable and greatly simplifies configuring the particular Python installation that a user wants. Anaconda greatly eases admin privilege restrictions, and it offers advanced features. An example is Anaconda Accelerate, which takes advantages of modern PCs to greatly enhance the speed at which complex processes complete. It makes it easy to install the right packages, and it never compromises system libraries and the like.
Perhaps it is important to point out that Anaconda accomplishes nothing that could not be accomplished with Python, and this is where the beginner should begin. But if you are an intermediate or above user with Python with an interest in data science, Anaconda is a great next step.
Anaconda is not a tool you learn to use quickly. Even becoming a basic user requires an investment of time. It may not be practical for small organizations unless they can afford a specialist dedicated to it. There is an enterprise-level of the software available, which is designed for larger organizations. Anaconda the company also offers training, certification and support for enterprise-level clients.
Pros
- Open source
- Highly customizable
Cons
- Requires extensive Python tool
