Skip to main content

Installing Python

Python

Python is an useful language for programmers to create ML based algorithms, Deep Learning algorithms, Data analysis or do just simple coding.
Python is being used by many renowned companies including Google and Netflix.

Python IDLE

IDLE which stands for Integrated DeveLopment Environment or Integrated Development and Learning Environment is an useful platform to develop Python Projects.

Installation of Python IDLE (with images)

Installing IDLE is very easy. Just follow the steps and you are ready to develop your project.

  1. Go to this link. (https://www.python.org/downloads/)
  2. Click on Download Python 3.8.1(Version Name).
            The downloading should start the second you click.
          If you have any other platform than windows then just select the one you are having.


     3. Open the downloaded file and click on run.

     4. Click on Customized Installation.
     5. Check all the boxes (if not checked)and click next.
     6. Click on browse (if you want to change installation directory).
     7. Select location and then click on OK.
     8. Now click on Install
     9. The installation should be started.
     10. Click on close when Setup was Successful is shown.
             Congratulations!
             You have taken first step towards becoming a programmer and are now ready to dive in                       deeper into ML and Deep Learning and in turn building an AI based program.

Limitations of IDLE

  1. You have to install many packages manually
  2. Program cannot be shared to others
That's why we have Anaconda, Jupyter Notebook and Google Colab like Platforms. 
However if you are just doing casual coding then IDLE wouldn't require extra packages and hence would be friendly to use. 
I personally recommend to use Jupyter Notebook and Anaconda Spyder. 
On next blog I would be sharing more about Anaconda and Jupyter.

Please do give your valuable feedback in this feedback form. 

Comments

Popular posts from this blog

Top AI Software and ML tools of 2019

2019 had been  an excellent  year for AI and Machine Learning with rising technologies and AI-based startups and verticals. Forbes had declared 2019 to be the year when AI would become mainstream and businesses would be increasingly embracing newer AIML technologies. 2019 indeed emerged  because the  year when AIML technologies saw soaring success, as top companies world-wide started augmenting these technologies  to make  groundbreaking products and services across industries.  because the  year has come to  an in depth  ,  we'll  be sharing a round-up of  the highest  AIML performances, trends, and success stories  to know  the exceptional  journey that these technologies had the past year. Today's round is on Top  AI  software and Machine Learning tools of 2019 2019 saw an up rise in various software and tools  utilized in  AI and Machine Learning to enable companies and...

Top industries and applications of AI

Top Industries and Applications of AI in 2019 Healthcare Improvement  within the  state of healthcare system holds immense importance  because it  directly reflects on critical aspects  like  quality of treatment,  anticipation  , etc.  AI  is playing  a serious  role in improving diagnostics, minimally invasive surgical procedures, drug development, better patient monitoring, and getting actionable insights into patients’ real-time needs. These are  just a few  of  the various  applications of AI in healthcare. Mentioned below are some critical applications of  AI  that are helping save lives. Enlitic , a California based AI organization that develops ‘deep learning’ based tools to streamline radiology diagnosis. The deep learning platform analyses the unstructured data  like  blood tests, radiology images, genomics, EKGs, etc.  along side  complete patient  m...

AI Impacting Software Development

Software is at  the bottom  of all the advancements we see in our lives. Software development technologies have witnessed  an enormous  transformation over the  previous couple of  years. Be it Amazon’s drone deliveries or Snapshot with augmented reality offerings, the software makes  the planet  go round. Enterprises have adopted  most  the emerging technologies in their software development, and  AI  is not any  exception. Impact of  AI  on software development changes how enterprises run business and make software smarter. A survey by Forrester revealed that development and delivery teams are confident that AI in Software development will improve development, agile test automation, automation-testing software  also  because the  way RPA bots functions with the support of the software. AI tools aim  to form  software development more reliable, faster and easier. Role of AI in S...