Data scientists are the lifeblood of any company that needs to make data-driven decisions. And when it comes down to choosing a software platform, they have plenty out there with different features and benefits, but no one can go wrong if their favorite thing is speed!
One such powerful tool in this category would be” Anaconda Data Science Technology,” which offers everything from analysis tools like machine learning or statistics through visualization formats such as graphics maps – all at your fingertips without ever installing anything else on your computer before now.
We will provide you with all the knowledge about Anaconda. This will include what it is, the different tools it has, and the pros and cons of using it. In addition, its drawbacks will help you compare it to other software and decide which one is best for you.
New version:2.4.0
Released date: 20th March 2023
What is Anaconda?
It is a Python distribution platform built and compiled for all major operating systems and architectures.
- Minimal install
- Easily search and simple to use
- Manage and distribute (Python 2.7 only)
- Orderly tested artifacts and packages
- Continuum Analytics’ Python Distribution with Conda package manager (pip/easy_install) supports and several other tools preinstalled on each system image commonly used in data science, such as NumPy, SciPy, Matplotlib, IPython Notebook, etc.
Features of Anaconda
Repository
This leading data science platform provides Python and R packages for all major operating systems and architectures.
It is built and compiled and offers various open-source data science and machine learning packages. From data acquisition to modeling to deployment, It puts the power of data science in your hands.
Conda
Conda is a machine learning software that easily creates, saves, loads, and switches between environments on your local computer. It’s an environmental management system that runs on Windows, macOS, and Linux.
Conda quickly installs, runs, and updates packages and their dependencies. Even though it is created in Python, it can distribute software to any language.
Navigator
It is easy to use and manage integrated applications, packages, and environments with supportive dashboard applications.
Cloud environment backup
This nuclear membrane supports storing local environments in the cloud. The pressure and temperature inside a cell can be accurately recorded by placing it within this protective layer, which also helps maintain its stability!
Pricing
Along with the paid plan, it offers a free plan. The plans are as follows.
- Pro – Charges $25/monthly per user and $250/year per user
- Business – Charges $75/monthly per user and $750/year per user
- Enterprise – You need to contact the vendor directly
Other information
| Deployment | Desktop |
| Operating system | Mac, Windows, Linux |
| Training | Documentation |
| Programming language | Python, R |
| Language support | English |
Available tools for different plans
Practitioner tool
You can access all the tools from Anaconda Nucleus accounts.
- Cloud Hosted Notebook
- Interactive development environment
- Self-paced courses
- Code alongside the experts
Professional
This open source is available for commercial use, and you can purchase additional ones.
- Professional Repository
- Conda signature verification
- Access control
- Licensed and optimized
Business
Tools are available to meet business security
- Custom security policies
- Detailed vulnerability metadata
- Expanded excess control
- Commercial grade, open source toolkit
Enterprise DS platform
This is an end-to-end data platform for enterprises.
- Organized with AI pipelines
- Sample notebook for repetitive tasks, gallery of sample projects
Pros
- Excellent support to Python projects
- Easy to install any Python package using it
- Easy to create multiple environments and customization
Cons
- It is a bit difficult for beginners to understand
- Heavy space is required( More memory)
- Low-end laptops cannot be able to handle this( Minimum 8 GB RAM required)
- It may hang the device if the memory capacity is less
- The automatic saving feature is not available
- Difficult to open the project from the beginning
- You may feel messy because of more stuff
- An error indication is a complex
- Rapidity is a bit low
Alternatives
- AnswareRocket
- Heap
- Paraphrase
- Amazon SageMaker
- MatLab
- TensorFlow
- Azure Machine Learning Studio
- IBM Watson Studio
- Google Cloud AI Platform
- RapidMiner
FAQs
What is Anaconda Distribution?
An Anaconda Distribution install includes Conda and the Anaconda Navigator. This Navigator is a desktop Graphical User Interface (GUI) that includes many popular data sciences and machine learning packages.
What is Anaconda Nucleus?
This is a platform where you can find information on data science. You can find articles, webinars, videos, and more. This is where Anaconda users can share their ideas and help each other.
Conclusion
So overall, we have discussed one of the best Python distribution software, i.e., Anaconda. And also saw its features, pros, and cons.
By comparing its features and drawbacks with another alternative, you can make a good decision in searching for better software for your needs.
Reference