A Beginner’s Guide to Python for Data Science - Part 1 Installing the required software
Let’s discuss how someone interested in coding and data science can begin their journey.
You see many people learning Python and data science. Once they have their data analyst or data scientist jobs, they lead a comfortable lifestyle thanks to the value their skillset generates for society, directly allowing the individual to earn a lot of money.
You decide to give it a try, and you get yourself a laptop. Now, the questions you get are something like the following:
- Where do you begin?
- Which course do you take?
These are critical questions to be answered if you want to reach your desired goal.
With the available options on the internet, you might feel a little dizzy just going through choices of the various courses.
This article is my attempt to make your journey a little more comfortable. I will focus on the Python language, but be aware that we have many coding languages to choose from for learning this skill set.
We will begin by installing the required software for learning data science.
The best tool available for a beginner in data science is the Anaconda Distribution, an optimized set of packages needed for data science, neatly packed into a single downloadable file by Anaconda Inc.
The following link will take you directly to the webpage where you can download the individual edition, which is free:
Next, we need an integrated development environment (IDE). There are many options for IDEs to choose from in the marketplace. The most frequently used are Spyder and PyCharm.
I like PyCharm for its ease and unlimited customization choices that any developer might need.
The following link will take you directly to the webpage where you can download the community edition, which is free:
You can follow the default setting to install the above two software.
Remember, the order you download and install needs to be the same as shown above, first being anaconda and next Pycharm, for everything to work correctly.
And there we have it. I hope you have found this useful. Thank you for reading.
If you found this useful, you can check the below book and have a copy for yourself:
Until next time!
#Python #Data Science #Data Science Training #Learn Python
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