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Many developers are getting confused between anaconda VS Python when it comes to programming or data science-type approaches.
Here is the difference between python vs anaconda.
Python programming leads to multi-purposes, whereas anaconda is most likely preferred for Data science projects. Anaconda comes with pre-built libraries that save a lot of time for projects like ML to get started quickly.
While in Python programming, a developer usually has to spend extra time and effort downloading various libraries one by one. Such that Numpy, Panda, Script, and so forth.
Differences: Python vs anaconda programming.
| parameters | Python | Anaconda |
|---|---|---|
| Prime Purpose | Python is an Object-oriented programming language. | Anaconda is a distribution that has many in-build libraries for Python and R. Specially built for machine learning. |
| Different Package Manager | It has a pip, that handles tasks for package managing. | It has a Conda package manager for handling tasks. |
| Built-in libraries | It supports many libraries, don’t come up with many libraries by default. | It is great if you want to have essential libraries already installed. |
| Installation space required. | It requires one GB of space. | It requires one minimum of 4 GB of space to run. |
| Best for | It is best for many work applications. | It is a great choice for people who want to do machine learning tasks. |
| Invented by | Guido van Rossum | Peter wang |
| Faster | It is faster than an anaconda python. | Its codes do not execute as fast as python. |
what is Anaconda in programming?
Anaconda Python is like a bag of Python and R libraries. More Than 7500+ libraries can see there. However, not all of them are required for a developer. 
Yet, it is quite a handy approach to get all of the tools in one place. It turns down the efforts and time.
It’s much more useful mostly when you want to learn machine learning or want to do some machine learning tasks. Because its in-built libraries will save you time that otherwise, you will have put in finding and downloading manually.
Besides just tools, Anaconda helps you share your exact format of code with your friends instantly, not to mention, it also has a pretty strong search dive where you can obtain modules, libraries, and things you required.
What is Python Programming?
Python is a general programming language. Its structure and syntaxes are too easy even for a very newbie. the codes you write in this almost relate to common English words that make them understandable.
Regular Python supports many modules, libraries, and frameworks, which are the main reason it has many work applications, take a look at some python projects.
If you ask for Python applications, you will likely be amazed after realizing how extendable it is… from making games to creating desktop software, and not just that its primary purpose is to utilize this language in AL projects too.
It requires manually configuring tasks, even though many useful IDEs don’t come pre-built.
To summarize, In regular Python, you will get every required functionality. However, you still have to find out on the internet.
should I use Anaconda with Python?
You should use anaconda if you’ve just taken steps towards the field of Data Science as well as Machine learning.
It will simplify your journey compared to Python by providing you a place to get almost every tool you’re going to need.
You should go with anaconda If and only if your aim is to get into Data Science or ML-type projects. Anaconda comes with a bunch of tools that are essential for learning Data Science. Moreover, it has Anaconda Navigator App where you can download libraries in a Graphical User Interface.
We have highlighted below some key differences among them, take a look at them for a better understanding.
When you should not use Anaconda with Python?
If your intentions are learning to program Instead of just machine learning. You better not install Anaconda. It is no use for you.
You should use Pycharm like IDEs with Python for learning to code. It is like a Python code editor, the most popular one. It brings many packages for developers so that you will get a lot of useful stuff altogether.
To summarize this, to become a developer, the Anaconda would not help you as much as Pycharm. Instead of Anaconda, you should use Pycharm.
Which is better: Anaconda Python or Regular Python?
It depends on your project first. Well, most of the time, the anaconda Python refers to Data science projects.
Therefore anaconda is easier to get started with projects like Data science. Regular Python would not give you as much comfort as Anaconda Python when deploying an ML architecture.
Do I need to install Python before anaconda?
Anaconda is a distro of Python.
Thus You don’t need to have already installed Python. Anaconda comes along with Python and a bunch of libraries.
