Technical Roadmap

Advantages and Disadvantages of Python

Advantages	Disadvantages
Easy to Learn: It is beginner friendly because it has simple syntax.	Slow Speed: It is slower than compiled languages like C++ and C.
Huge Libraries: It has massive support of prewritten code libraries for AI (Pydantic AI), Data Science, and Web development, Machine Learning. They make the work faster and easier.	Mobile Development: It is not the first choice for mobile development as it is slower than native languages.
Dynamically Typed: It automatically assigns the data type; we don't have to do it manually.	Memory Consumption: It takes more memory because here every variable is an object that has its own metadata.
Interpreted: Debugging is easier because the code is executed line-by-line.	Runtime Errors: Because it is dynamically typed, some errors only appear during execution.
Free & Open: Anyone can download it for free, and millions of people help improve it every day.	Design Limits: Because it’s so simple, it can sometimes be "too flexible," leading to messy code if you aren't careful.
Great for Big Data: It can handle millions of rows of information very easily with tools like Pandas.	Database Access: Its tools for connecting to databases are a bit older compared to languages like Java.