Beginning with the basics: IDE

What’s up, shooters?!

As you get started with Python, you come across jhakas words such as PyCharm, Visual Studio

and Jupyter Notebook! Here is a guide to understanding them.

What is IDE?

The Formal Definition: An IDE, or Integrated Development Environment, enables programmers

to consolidate the different aspects of writing a computer program. 

Too nerdy, right??

Tension not! Let’s decode it! 

To analyse a dataset we need to perform many operations such as cleaning data, visualizing it etc. and to execute all this using any programming language we need an app which will help us write the code with ease. Such an application is called IDE. 

What is so special about the IDE? 

IDEs have a bunch of tools which make them cool 

1. Text Editor: It acts like a simple note pad which allows the coder to write, edit and save code before executing it.

2. Syntax highlighting: IDE provides special visual cues to the coder by highlighting different types of terms with different colours and fonts.

3. Autocomplete: This makes the coder’s life easy by providing recommendations, like Gmail prompts while writing an email.

4. Debug: No one is perfect, even seasoned coders make mistakes while writing codes. Debuggers help coders by providing hints to prevent errors before compilation.

IDEs for Python and R

Which one should I use to get started? 

My personal favourite is Jupyter Notebook but which one should you use ...mmmm?? To be

honest, it depends upon your choice and preference. Which one is the best so far, is still

debatable in the data science community. My special tip is to choose one and stick to it!

Read my next article for knowing why I prefer Jupyter Notebook.

See you in the next blog public! Until then, bye bye!

Mumbai language Vocab: 

Shooters: Friends

Jhakas: cool/too good

Public: folks