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Now you all know it is a digital programming language. But it has some more to offer. This programming language can be used for functioning and structuring the programs. OPP is also supported by this programming language. This programming language can be scripted and also can be converted to binary codes and used as a coded language. The updated form of programming language helps to maintain data in a consistent way and also delivers a dynamic checking mode. The best part of this programming language is that it separates the unwanted data and allows the program to run smoothly. You can easily incorporate this programming language with a different version of JavaScript.
Python is a programming language with objects, modules, threads, exceptions, and automatic memory management.
PEP 8 is a coding convention, a set of recommendations, about how to write your Python code more readable.
The pickle module accepts any Python object and converts it into a string representation and dumps it into a file by using the dump function, this process is called pickling. While the process of retrieving original Python objects from the stored string representation is called unpickling.
Python language is an interpreted language. Python program runs directly from the source code. It converts the source code that is written by the programmer into an intermediate language, which is again translated into machine language that has to be executed.
PyChecker is a static analysis tool that detects the bugs in Python source code and warns about the style and complexity of the bug. Pylint is another tool that verifies whether the module meets the coding standard.
A Python decorator is a specific change that we make in Python syntax to alter functions easily.
The difference between list and tuple is that list is mutable while the tuple is not. Tuple can be hashed for e.g as a key for dictionaries.
Everything in Python is an object and all variables hold references to the objects. The reference values are according to the functions; as a result, you cannot change the value of the references. However, you can change the objects if it is mutable.
They are syntax constructions to ease the creation of a Dictionary or List based on existing iterable.
There are mutable and Immutable types of Pythons built-in types Mutable built-in types
Immutable built-in types
In Python, every name introduced has a place where it lives and can be hooked for. This is known as namespace. It is like a box where a variable name is mapped to the object placed. Whenever the variable is searched out, this box will be searched, to get the corresponding object.
It is a single expression anonymous function often used as inline function.
A lambda form in python does not have statements as it is used to make new function object and then return them at runtime.
Pass means, no-operation Python statement, or in other words, it is a place holder in the compound statement, where there should be a blank left and nothing has to be written there.
In Python, iterators are used to iterate a group of elements, containers like a list.
A unit testing framework in Python is known as unittest. It supports sharing of setups, automation testing, shutdown code for tests, aggregation of tests into collections, etc.
A mechanism to select a range of items from sequence types like list, tuple, strings, etc. is known as slicing.
The way of implementing iterators is known as generators. It is a normal function except that it yields expression in the function.
A Python documentation string is known as docstring, it is a way of documenting Python functions, modules, and classes.
To copy an object in Python, you can try copy.copy () or copy.deepcopy() for the general case. You cannot copy all objects but most of them.
Python sequences can be index in positive and negative numbers. For the positive index, 0 is the first index, 1 is the second index, and so forth. For the negative index, (-1) is the last index and (-2) is the second last index, and so forth.
In order to convert a number into a string, use the inbuilt function str(). If you want an octal or hexadecimal representation, use the inbuilt function oct() or hex().
Xrange returns the range object while range returns the list, and uses the same memory and no matter what the range size is.
In Python, the module is the way to structure a program. Each Python program file is a module, which imports other modules like objects and attributes.
The folder of the Python program is a package of modules. A package can have modules or subfolders.
Local variables: If a variable is assigned a new value anywhere within the function's body, it's assumed to be local.
Global variables: Those variables that are only referenced inside a function are implicitly global.
To share global variables across modules within a single program, create a special module. Import the config module into all modules of your application. The module will be available as a global variable across modules.
To make a Python Script executable on Unix, you need to do two things,
By using a command os.remove (filename) or os.unlink(filename)
To generate random numbers in Python, you need to import command as
import random
random.random()
This returns a random floating-point number in the range [0,1)
You can access a module written in Python from C by following method,
Module = =PyImport_ImportModule("");
It is a Floor Divisionoperator, which is used for dividing two operands with the result as quotient showing only digits before the decimal point. For instance, 10//5 = 2 and 10.0//5.0 = 2.0.
The use of the split function in Python is that it breaks a string into shorter strings using the defined separator. It gives a list of all words present in the string.
Flask is a web microframework for Python based on "Werkzeug, Jinja 2 and good intentions" BSD licensed. Werkzeug and jinja are two of their dependencies.
Flask is part of the micro-framework. Which means it will have little to no dependencies on external libraries. It makes the framework light while there is a little dependency to update and fewer security bugs.
The demand for Python language is exceptionally high in the data development market. Most data scientists are fond of Python. In the industry, the people who are working individually with python are turning more successful rather than the people who are working under someone with the same programming language. People are earning in crore when working independently, but when they are working under someone, making not that much. The applicants are in thousands and so are the vacancies but the salary scale is standard comparing to the demand. You can earn up to 40,000 dollars to 80,000 dollars depending on the experience you possess.
Several programming languages are available in the market, but Python has created a benchmark with its performances, and now the data scientist of the entire world is addicted to this programming language.
Here at Intellinuts, we have created a complete Python tutorial for Beginners to get started in Python.