Install Python | Python for Data Science | Day 1
Hey there, Pythonistas!
If you’ve landed on this page for learning Python, congratulations! You have already taken the first step towards this incredible journey. Follow this tutorial thoroughly to learn how to install Python. Python’s object-oriented approach will make this your favorite programming language for all types of projects- small and large scale. No more waiting, let’s learn how to install Python.
STEP 1: Head to https://www.python.org/downloads/ and click on the Download button as shown below.
STEP 2: The following Setup box will appear. Click on Install Now.
STEP 3: Once you click on the Install button, the setup will start. The status will be displayed as shown below.
STEP 4: When the setup progress is completed, the Success box will appear as shown below.
With this, you are all set to begin with Python. What’s better is that IDLE is automatically installed when you set up Python. IDLE is the bundle that will provide our development environment for Python. You can also visit https://wiki.python.org/moin/BeginnersGuide to troubleshoot installation problems and learn more about Python and its documentation.
In the next tutorial, we will use IDLE to code our first line in Python. There is going to be a lot of learning along the way. So, do stay tuned with us.
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Important Resources to crack interviews (Mostly Free)
There are a few things which might be very useful for your preparation
The Data Monk Youtube channel – Here you will get only those videos that are asked in interviews for Data Analysts, Data Scientists, Machine Learning Engineers, Business Intelligence Engineers, Analytics managers, etc.
Go through the watchlist which makes you uncomfortable:-
All the list of 200 videos
Complete Python Playlist for Data Science
Company-wise Data Science Interview Questions – Must Watch
All important Machine Learning Algorithm with code in Python
Complete Python Numpy Playlist
Complete Python Pandas Playlist
SQL Complete Playlist
Case Study and Guesstimates Complete Playlist
Complete Playlist of Statistics