By default Python doesn’t allow multi-threading to use multi-threding we have to use different multi-threading packages.
Multi-threading can be outsourced to the operating system (by doing multi-processing), some external application that calls your Python code, or some code that your Python code calls.
Python is one of the most successful interpreted language. When you write a Python script, it doesn’t need to get compiled before execution. Few other interpreted languages are PHP and Javascript.
Benefits Of Python Programming:
Python is a dynamic-typed language, this means that you don’t need to mention the date type of variables during their declaration. It allows to set variables like var1=101 and var2 =” You are an engineer.” without any error.
Python supports object orientated programming as you can define classes along with the composition and inheritance. It doesn’t use access specifiers like public or private.
Functions in Python are like first-class objects. It suggests you to assign them to variables, return from other methods, and pass as arguments.
Developing using Python is quick but running it often is slower than compiled languages. Luckily, Python enables to include the “C” language extensions so that you can optimize your scripts.
Python has several usages like web-based applications, test automation, data modeling, big data analytics, and much more. Alternatively, you can utilize it as “glue” layer to work with other languages.
PEP 8:
PEP 8 is the latest Python coding standard, a set of coding recommendations. It guides you to deliver more readable Python code.
Smart programmers not only code well but also do it in style. And to become a good programmer may take longer time than you expect. However, if you choose the best Python IDE, then one can certainly reduce their coding efforts. IDLE is the Python IDE that comes with the standard Python package. It allows quick editing and execution of Python scripts. However, it lacks a lot of features that can increase speed and boost productivity.
Picking up the right IDE is crucial as it can help the programmer to automate a lot of tasks and ease up project management. So, the developer must wisely choose a development tool, that the developer shouldn’t regret using it later in the project lifecycle.
There is a number of factors that the developer might like to consider for shortlisting. We have mentioned few points to make an entry-level distinction:
IT companies or the professionals working with big organizations might have access to paid version of commercial IDEs. Just to name a few are Komodo, PyCharm, Sublime, and Wing IDE.
In this article, we have published 3 best python IDE’s voted as most advanced and feature rich by experienced and professional programmers.
PyCharm
PyCharm is a complete Python IDE loaded with a rich set of features. It is the software company, JetBrains, which is behind the development of PyCharm. And it has left no stone unturned in making this tool up to date while meeting the increasing needs of Python developers.
It is an enterprise-level product which offers two variations – the first is community edition, free for non-commercial usage and next is the premium version for advanced as well as enterprise users.
For basic users, the free version is enough to start their work. It includes almost every feature the developer might seek in an IDE – Auto code completion, quick project navigation, built-in version control support, code inspection/refactoring, PEP8 quality audit, fast error checking and correction, UI level debugging, and integrated AUT testing. The other key features include integration with IPython notebook and support for Anaconda as-well-as packages like NumPy and MatPlotLib for scientific computing.
High-level features such as remote development support, database accessibility, and ability to use extensible web development frameworks (WDF) exist only in the premium version of PyCharm.
Most of the developers say it as the best Python IDE because of its sheer scale to work with a number of WDFs like Django, Web2Py, GAPP, Flask, and Pyramid. Undoubtedly, it is one of the best IDEs for creating small to large scale web applications.
ERIC
Eric is an open-source Python IDE written using Python and QT frameworks. Its name is derived from Monty Python’s Eric Idle. Despite being a non-commercial product, it has all the features needed for a professional software development.
The creator of Eric is Detlev Offenbach, a senior system engineer from Munich. He has been maintaining it from so many years so that it can compete with any of its peers. Talking about its usage and downloads, it is incomparable. The IDE is available under the GPL license for the unlimited usage.
Eric has a robust plugin manager which you can use to extend the functionality by adding appropriate plugins. The latest and stable version is Eric6 built on PyQt5/4 and Python2/3.
Some of the standard features of Eric are code completion, bracket matching, call tips, syntax highlighting, class browser, code profiling, and integrated unit tests. Developers can also make use of its form preview function while working on a QT GUI application. Below is the list that makes Eric stands against competitors like PyCharm/Wing.
WING IDE
WING is also one of the top IDE alternatives for Python developers. It is a paid solution from WingWare. The company made huge investments in Wing and added many new and relevant features. Also, it has released a number of updates over the years.
Like PyCharm, Wing also supports Windows, Linux, and Mac OS X. The company offering three types of packages; a Freeware with moderate features, a personal version for individual users, and a high-end edition for the enterprise users.
WING Python IDE is an intelligent code editor and a great debugging tool. Both these features together make Python coding easy, interactive, accurate, and fast. It has a robust graphical debugger which enables to set breakpoints, navigating through code, monitoring data, multi-process/multi-threaded code debugging and also supports remote debugging on SOC (System On Chip) devices such as Raspberry PI. Also, it comes with the ability to blend with different version control systems such as GIT, CVS, SVN, Mercurial, and Perforce. So the developers can perform check-in/check-out and manage merge within the IDE.
WING team ensured that the IDE supports all the major Python frameworks available as of today. Just to name a few of these frameworks are PyQT, PyGTK, PySide, Zope, MotionBuilder, Django, and much more. It also supports Matplotlib where the plots get updated automatically.
Python is an extremely readable and adaptable programming language. The name was inspired by the British comedy group Monty Python; it was a major foundational goal of the Python development team to make the language fun and easy to use. It is easy to set up, and written in a relatively straightforward style with immediate feedback on errors, Python is a great choice for beginners.
Before going into the potential opportunities let’s see the key programmatic differences between Python 2 and Python 3, let’s start with the background of most recent major releases of Python.
PYTHON 2
Python 2 is a transparent and inclusive language development process than earlier versions of Python with the implementation of PEP (Python Enhancement Proposal). Python 2 has much more programmatic features including a cycle-detecting garbage collector to automate memory management, increased Unicode support to standardize characters, and list comprehensions to create a list based on existing lists. As Python 2 continued to develop, more features were added, including unifying Python types and classes into one hierarchy in Python version 2.2.
PYTHON 3
Python 3 is contemplated as the future of Python and is the version of the language that is currently in development. Python 3 was released in late 2008 to address and amend intrinsic design flaws of previous versions of the language. The focus of Python 3 development was to clear the codebase and remove redundancy. Major modifications to Python 3.0 includes, changing the print statement into a built-in function, improved the way integers are divided, and provides more Unicode support.
PYTHON 2.7
Following the 2008 release of Python 3.0, Python 2.7 was published on July 3, 2010 and planned as the last of the 2.x releases. The main intention behind Python 2.7 was to make it easier for Python 2.x users to port features to Python 3 by providing some measures of compatibility between the two. This compatibility support includes enhanced modules for version 2.7 like unittest to support test automation, argparsefor parsing command-line options, and more convenient classes in collections.
THE DIFFERENCES BETWEEN PYTHON 2 & PYTHON 3:
While Python 2.7 and Python 3 share many identical capabilities, there should not be any thought of interchangeable. Though a user can write code and useful programs in either version, it is worth in understanding that there will be some considerable differences in code syntax and handling.
In Python 2, print is considered as a statement instead of a function, which is a typical area of confusion as many other actions in Python requires arguments inside the parentheses to execute. If the user wants the console to print out “The Shark is my favourite sea creature” in Python 2 the user can do it with the following print statement:
Print “The Shark is my favourite sea creature”
In Python 3, print() is explicitly treated as a function, so to print out the same string above, the user can easily do it with the simple syntax of a function:
Print(“The Shark is my favourite sea creature”)
This change made Python’s syntax more uniform and also made it easier to change between different print functions.
DIVISION WITH INTEGERS
In Python 2, any number that the user types without decimals is treated as the programming type called integer. While in the beginning this seems like an easy way to handle programming types, when the user tries to divide integers together then the user expects to get an answer with decimal places (called a float), as in:
5 / 2 = 2.5
However, in Python 2 integers were strongly typed and would not change to a float with decimal places even in cases that would make instinctive sense.
When the two numbers on either side of the division “/” symbol are integers, Python 2 will do floor division so that the quotient x is the number which is returned is the largest integer less than or equal to x. This means that when you write 5 / 2 to divide the two numbers, Python 2.7 returns the largest integer less than or equal to 2.5, in this case, 2:
a = 5 / 2
print a
OUTPUT
2
UNICODE SUPPORT
When programming languages handle the string type i.e., a sequence of characters which can do it in a different way so that computers can convert numbers to letters and other symbols.
Python 2 uses the ASCII alphabet by default, so when you type “Hello” Python 2 will handle the string as ASCII. Limited to a couple of hundred characters at best in various extended forms, ASCII is not a very flexible method for encoding characters, especially non-English characters.
Python 3 uses Unicode by default, which saves the programmers development time, and the programmer can easily type and display many more characters directly into the program. Because Unicode supports a linguistic character.
CONCLUSION
Python is a flexible and well-documented programming language to learn, whether you choose to work with Python 2 or Python 3, one will be able to work on exciting software projects.
Though there are several key differences, it is not difficult to move from Python 3 to Python 2 with a few twists, and you will often find that Python 2.7 can easily run Python 3 code.
It is important to keep in mind that most of the developers are focused on Python 3, the language will become more refined and in-line with the evolving needs of programmers, and less support will be given to Python 2.7.
Technology has gained a fast pace with new advanced tools and languages enabling developers to build rich internet-based applications. There are various backend, or server-side languages, which help developers in many ways. But Ruby and Python are two languages that are very popular in modern web development. Many get confused while choosing the programming language for their projects, whether to go for Ruby on Rails development or Python. So in this article, let us first understand what these technologies are all about and how better they provide an edge over other frameworks.
Ruby on Rails:
Ruby on Rails is an open source web application framework and programming language that is designed for rapid development. It is observed that many web developers are switching to this for their web development procedures. As we all know Ruby is an application development programming language and Rails is the framework that the language works on, it is ideal for businesses that hold large amount of data. Ruby on Rails makes complicated websites easy to develop and in turn makes developers spend less hours in writing code.
Ruby programming language allows developers build a completely functional website within a short period. The main features of RoR is based on migrations, attractive layouts, validations, filters, helpers and view generators. Generally, most useful tools used by Ruby on Rails and other web developers are SASS, HAML, YAML, S3, EC2 and Asana etc. You have to use the ROR platform to select executing projects using J Ruby or any other type of native Ruby interpreter on your system.
Python:
In recent years, Python is widely used for faster development of high level programming language. Specifically, a working knowledge of Python can be a solid foundation because Python’s methodologies can be used in a broad range of applications. Python comes with extensive standard libraries, and has a powerful datatypes such as lists, sets and dictionaries. These really helps you to organize your data. It is taking over as the general purpose language used to demonstrate concepts, provide a common vocabulary, and to glue together systems created in other languages.
So what is it about Python that is driving its adoption?
As an object-oriented language, Python aims to encourage the creation of reusable code. Even if we write perfect documentation all the time, code can hardly be considered reusable if it’s not readable. Many of Python’s features, in addition to its use of indentation, conspire to make Python code highly readable.
Let’s look at general differences between Ruby and Python languages. The comparison given below gives a clear insight of their advantages: and disadvantages in Web application development:
Final Verdict:
From this comparison of Python and Ruby, it is clear that the demand of Python in the market is slightly higher. You can choose any one of them. Python and Ruby On Rails are both excellent programming languages and both are widely adopted. But among these languages about which is more powerful depends on the intended application. Both are very complete and resourceful. The learning curve of Python is relatively easy when compared to Ruby On Rails. Python has got much better support for higher order programming, functional programming and, more debateably, meta-programming. Ruby on Rails does some things better than python, as multi-threading. At the end, you should test both and make your choice.