Software development has long been a minefield .
Ordinary people will find , Using traditional programming languages （ Such as C and JAVA） Breaking into the software world is terrible .
But once Python Join the game , This situation soon changed .Python With its revolutionary programming method, it is a great leap in software development .
People love Python, Because of its simplicity 、 Extensive library support and presentation capabilities . therefore , image C and Java The rule of such language is over .
If you're a software developer , You may be familiar with ** Balance （trade-off）** The word .
Every time a question about programming language pops up , People usually get a traditional answer ：“ As the case may be ”.
It is generally accepted that there is no perfect programming language . wait , Is it true that ？
For me, , Not so . In my submission Python Is the silver bullet in the programming language .
up to now , I used Python、C、C++、MATLAB、JAVA.Python It's the last thing I've touched , But it's the best .
In order to test Python, I did an experiment , And put most non Python The program is converted to Python. The final Python The version is much better .
at present , as far as I am concerned ,Python Has been severely criticized on two issues ：
Although I agree that these problems have a significant impact on software development to some extent , But I can confirm , Most of these are Python Problems in the early days of birth .
However , Thanks a lot rock-solid Community ,Python It has evolved to be equivalent to almost every programming language . Dynamic type and speed no longer have a significant impact on coding practice .
Python Can be used to deal with any problem .
If so , Why? Python It hasn't been adopted on a large scale yet ？
therefore , It is necessary to explain why dynamic typing and performance problems are small problems that are easy to ignore .
To understand dynamic types , It's best to understand the opposite first —— Static type .
Statically typed languages have C、JAVA etc. . The main difference between these languages and their dynamically typed counterparts is type checking . Static types are type checked at compile time , Dynamic typing is type checking at run time .
notes ： This is a bland definition of dynamic and static types . The specific technical details are beyond the scope of this paper .
because Python Debugging problems , as well as Python How language makes tracking bug The process has become more complex than it is now , Some developers are right Python Complain a lot .
This complaint stems from the fact that ： As a dynamically typed language ,Python Mark errors at run time , This makes it more than Java Statically typed languages such as are more error prone .
Theoretically , This is a threat , After all, considering a famous proverb —— People make mistakes . But in practice , I doubt if the typo is as serious as they claim .
No kidding , Who still makes type mistakes now ？
Statically typed languages are far from an accessible debugging haven . Except for the wrong type , Most statically typed languages cannot catch subtle errors that you might think should be detected . These errors also occur in static and dynamic types .
Besides , Almost no code is deployed without unit testing . Unit testing is a good defense against type errors . Only in rare cases , Type errors can bypass unit tests to mess up code . In terms of commissioning , Another feature of programming languages is safe and unsafe types . Languages that allow users to override system types are considered unsafe types —— for example C. Although unsafe types give users control over types , But its misuse will cause the program to crash arbitrarily .
Most statically typed languages are unsafe type systems . However ,JAVA Is a safe type language .Python And other dynamically typed programming languages I know .
Last , I prefer to use things like Python Write code a million times in such a convenient and high-level language , Instead of falling into JAVA In the low-level details of language .
