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we need to use as keyword in except clause while checking error, whereas as keyword is not required in Python 2. Consider the following example @CEPython

is huge and, it offers a wide range of facilities. It contains built-in modules written in C that pro- vides access to system functionality such as I/O operations as well as modules written in Python that provide standardized so- lutions for many problems that occur in everyday programming. Some of these modules are listed below * Text Processing Modules * Data Types * Numeric and Mathematical Modules * Files and Directory Modules * Cryptographic Modules * Generic Operating System Modules * Networking Modules * Internet Protocols and Support Modules * Multimedia Services * Graphical User Interfaces with Tk * Debugging and Profiling * Software Development, Packaging and Distribution – In addition to the Python Standard Library, we have various other third-party libraries which can be accessed from Python Package Index5 . • Garbage Collection – Python takes care of memory allocation and deallocation on its own. In other words, a programmer does not have to manage

Why we prefer python Got qns ? Here it is Simple – Compared to many other programming languages, coding in Python is like writing simple strict English sentences. In fact, one of its oft-touted strengths is how Python code appears like pseudo-code. It allows us to concentrate on the solution to the problem rather than the language itself. • Easy to Learn – As we will see, Python has a gentler learning curve (compared to languages like C, Java, etc.) due to its simple syntax. • Free and Open Source – Python and the majority of supporting libraries available are open source and generally come with flexible and open licenses. It is an example of a FLOSS(Free/Libré and Open Source Soft- ware). In layman terms, we can freely distribute copies of open source software, access its source code, make changes to it, and use it in new free programs. • High-level – Python is a programming language with strong abstraction from the details of the underlying platform or the machine. In con- trast to low-level programming languages, it uses natural lan- guage elements, is easier to use, automates significant areas of computing systems such as resource allocation. This simplifies the development process when compared to a lower-level lan- guage. When we write programs in Python, we never need to bother about the lower-level details such as managing the mem- ory used by programs we write, etc. • Dynamically Typed – Types of variables, objects, etc. in Python are generally inferred during runtime and not statically assigned/declared as in most of the other compiled languages such as C or Fortran. • Portable/Platform Independent/Cross Platform – Being open source and also with support across multiple platforms, Python can be ported to Windows, Linux and MacOS. All Python programs can work on any of these platforms without requiring any changes at all if we are careful in avoiding any platform-specific dependency. It is used in the running of powerful severs and also small devices like the Raspberry Pi3 . In addition to the above-mentioned platforms, following are some of the other platforms where Python can be used * FreeBSD OS * Oracle Solaris OS * AROS Research OS * QNX OS * BeOS * z/OS * VxWorks OS * RISC OS • Interpreted – A programming language can be broadly classified into two types viz. compiled or interpreted. – A program written in a compiled language like C or C++ re- quires the code to be converted from the original language (C, C++, etc.) to a machine-readable language (like binary code i.e. 0 and 1) that is understood by a computer using a compiler with various flags and options. This compiled program is then fed to a computer memory to run it. – Python, on other hand, does not require compilation to machine language. We directly run the program from the source code. Internally, Python converts the source code into an intermediate form known as byte code and then translates this into the native language of the underlying machine. We need not worry about proper linking and the loading into memory. This also enables Python to be much more portable, since we can run the same program onto another platform and it works just fine! – The ’CPython’ implementation is an interpreter of the language that translates Python code at runtime to executable byte code.Python supports various programming and implementation paradigms, such as Object Oriented, Functional, or Procedural pro- gramming. • Extensible – If we need some piece of code to run fast, we can write that part of the code in C or C++ and then use it via our Python program. Conversely, we can embed Python code in a C/C++ program to give it scripting capabilities. • Extensive Libraries – The Python Standard Library4

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