Learn About python
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What Is Python?
Interpreted high-level object-oriented dynamically-typed scripting language.
As a result, run time errors are usually encountered.
Why Python?
Python is the most popular language due to the fact that it’s easier to code and understand it.
Python is an object-oriented programming language and can be used to write functional code too.
It is a suitable language that bridges the gaps between business and developers.
Subsequently, it takes less time to bring a Python program to market compared to other languages such as C#/Java.
Additionally, there are a large number of python machine learning and analytical packages.
A large number of communities and books are available to support Python developers.
Nearly all types of applications, ranging from forecasting analytical to UI, can be implemented in Python.
There is no need to declare variable types. Thus it is quicker to implement a Python application.
Why Not Python?
Python is slower than C++, C#, Java. This is due to the lack of Just In Time optimisers in Python.
Python syntactical white-space constraint makes it slightly difficult to implement for new coders.
Python does not offer advanced statistical features as R does.
Python is not suitable for low-level systems and hardware interaction.
How Does Python Work?
The key here is the Interpreter that is responsible for translating high-level Python language to low-level machine language.
The way Python works is as follows:
A Python virtual machine is created where the packages (libraries) are installed. Think of a virtual machine as a container.
The python code is then written in .py files
CPython compiles the Python code to bytecode. This bytecode is for the Python virtual machine.
4. When you want to execute the bytecode then the code will be interpreted at runtime. The code will then be translated from the bytecode into the machine code. The bytecode is not dependent on the machine on which you are running the code. This makes Python machine-independent.
The point to note is that we can write Python code in one OS, copy it to another OS and simply run it.