Basics steps for create your anaconda Virtual environment for Data science using python

#anaconda #virtualenvironment #python #jupyternotebook #Datascience #Machinelearning

Hello Friends if you are unknown to Data Science and Machine learning and want to become familiar to concept of Data Science and Machine learning. Let start !   First of all you require a Machine or computer with specific hardware and software  configuration.These technologies are resource eater, so we need a high configuration machines. Below are the minimum required resources for smooth run of environment.

Hardware Requirement 1. Processor : As per my recommendation you should use minimum i5 processor with more than 3 GHZ. 2. RAM : I am recommending 8 GB minimum and you can also start with 4 GB. At earlier stage 4 GB is sufficient but in advance level you should use 8 GB or more. 3. Graphics Card : For beginning it is not required but in advance level it will impact to your practice. 4. HDD or SDD : Same as Graphics Card HDD we can use HDD in beginning and after that in advance we need to use SDD for better performance.

Software Requirements 

Anaconda Python Environment

Just goes to Anaconda official site to install Individual edition package for your lab setup. You can download these setup from here : Click Me

After click here just download the package by click on Download button.

After that you will be forward to the next page where you can choose the package as per your operating system.

Now you just have to right click on installer and "Run as administrator". once it will installed yo can find shortcut APP in start menu as name "Anaconda Navigator".

Now your environment has installed and ready to work. Now you have to open Jupyter Notebook.

Where you will practice and make programs for Data science and Machine Learning. Just Click on Launch button for start the application. Here you can find your first project in Jupyter Notebook.

After installation you can able to run or compile your code through kernel. Python is really good for any kind of software development. Python has rich libraries for any kind of development. If you interested to know more about these libraries than you can find the direct links for related posts.     Thanks for reading ! Your opinions are valuable for me. So please comment in below section to improve the quality of information.

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