What is the difference between anaconda and python programming?
Anaconda and python programmings are the major advancement in the world of machine learning and the field of data science.
The main difference between anaconda and python programing is that anaconda programming involves the distribution of both python and R languages while python programming is a high-level general-purpose programming language.
Comparison Table (Anaconda vs Python Programming)
| Basic Terms | Anaconda Programming | Python Programming |
| Meaning | It is a free and open-source distribution of Python and R languages for data science and machine learning related applications | It is an open-source that interpreted high-level language for general-purpose programming |
| Category | Data science tools | Computer languages |
| Developer | Anaconda Inc. | Guido Van Rossum |
| Package Manager | Conda | Pip |
| Package Management | Allow installation of python and non-python library dependencies | Python pip allows the installation of python dependencies |
| Application | Data science and machine learning | Has a wider usage |
| Community | Has a minimum community | Has a larger community |
Read More: Difference between One Way and Two Way ANOVA
What Is Anaconda Programming?
It is a free open source data science tool that focusses on the distribution of Python and R programming languages. The tool is applicable to data science and machine learning tasks.
The tool is commonly used by data scientist since it helps to simplify data management and enhance the deployment of the same.
Conda is the package manager of Anaconda which manages the package version. Many programmers prefer Anaconda due to the ease of usage.
The package manager tends to allow installation of both python and non-python discrepancies. It also highlights the warning sign in case the discrepancies already exists.
The most exciting thing is that the tool can be used in testing, developing and training in a single system.
What Is Python Programming?
It is a high-level interpreted and object-oriented programming language. It is named for its dynamic semantics.
The programming language tends to be a rapid application development due to the combination of dynamic binding and typing.
The language is commonly used in developing GUI applications, websites and applications. It enhances consistent monitoring and execution of common programming tasks.
The best feature of a python programming language is the code readability. The syntax codes are normally simple English words.
Besides that, python tends to be versatile and can be used to customize the application without overdoing the code. Hence, help to save on time.
Main Difference between Anaconda and Python in Point Form
Similarities between Anaconda and Python Programming
- Anaconda is written in python
Anaconda vs Python Programming FAQs
Python programming is the best. Thanks to its elegant syntax and readable code. Anaconda is suitable for data science whereas python is various programming languages.
Yes. It is a meta-package that includes all of the Python packages comprising the Anaconda distribution.
Anaconda is a free and open-source distribution of the Python and R programming languages for scientific computing.
Yes. Anaconda installs in a separate environment which does not interfere with that of python environment.
Comparison Video
Conclusion
Evaluation of data helps businesses to identify their prospect. The dynamics in technology has made data management and analysis quite easy. Thanks to Anaconda and python programming language.
Anaconda tool is the best tool for evaluation of a large amount of data. On the other hand, python is quite versatile for creation of applications to be used in the data science industry.
The core difference between anaconda and python programming is that anaconda programming provides conda as the package manager whereas python programming provides pip as the package manager.
More Sources and References
- Python Overview. Tutorial Point
- Anaconda Outline. Wikipedia
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