Is it hard to move from PHP to Python?

Python

Both PHP and Python are of dynamic nature, which means here you don’t need to declare the variable type. Not only are these designed as an Object-Oriented Programming language, but also it is quite often used as OOP language.

At the same time you should be knowing how to make your code beautiful. Since Python does not use braces as closure, it is nicely indented. Since that could be the only thing which may cause you a problem.

Basically, if you just want to get things up and running, then you should focus more on learning Flask, rather than Django. When you are ready for more sophisticated and comprehensive framework, then you should better switch to Django. You should try to build some of your current small scoped project with Python-Flask, then you would learn pretty much about it. And the better part of this structure is, when you think that you’re CLI-based Python script should have a GUI, the script to be utilized by web app could be easily adapted.

It is widely accepted truth that Python web development is comparatively hard in the beginning.
Though you are using PHP for programming, you should also capable of learning Python along with it simultaneously, at it is followed by great fun. There are alternate valid reasons which could be proved good for switching from PHP to Python.

Moving from PHP to python could be reasonably appreciated as Python can be used in various ways, it is most preferable now a days. Such as developing a standalone software which could be run on Win, *nix and mac or it can be your server side language to handle dynamic web content. PHP is usually used for generating dynamic web content, and which could also be done in Python easily.
Now if you are not familiar with Python, you should learn it first from the very basic which help you in identified performance. You should better look for the next best alternative for learning Python.
Instead of learning Django in the very beginning, you should directly learn Python without indulgence of anything else. Several resources are available for learning Python which all are discussed below:

1.    Start towards trying the PHP code in the way of Python. This will ensure you that you are not messing up your learning by wasting some keystrokes. You should also put in you the habit of intending code which is very crucial in Python.

2.    Python is full of energy and new innovative ideas, easily determined to success just like PHP. It contains Classes and Objects which are also present in PHP for seeing how classes are worked. Most people didn’t like using classes in PHP, rather they prefer Python for the class work. As already discussed earlier, you should try to utilize OOPS in your work, or at least you should follow the principles, instead of usual PHP’s method of really long function names which really mean something.

3.    Try to compare the different uses in PHP and Python, such as SQL queries, server setup configuration, etc. Put them on a chart which you can observe very frequently in bold letters.
The second point is important because classes are very important in frameworks and should be considered well before starting with to use any framework. There are versatile reasons for switching from PHP to Python. Like you would discover many surprisingly powerful features/expressions in Pythons that performs a great deal in a small amount of code, more readable than Pearl. Python is seemed far more productive as Python’s functional programming tools, generator expressions, list comprehensions, etc. are outstanding and allows you to accomplish tasks correctly with less code and less time consumed than in PHP. These are some of the reasons and difficulties which are observed for switching from PHP to Python.

You can also avail this service from us that is Laitkor. Here you can get the best service along with maximizing your utility.

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Switching costs from PHP to Python revealed!

Python Web Application Development

The cost of switching fluctuates from the nature of the framework selected. These variations may be caused due to certain differences in the functioning of various Python Frameworks.

PHP is extensively used at various big projects and sometimes even most engineers on them do not enjoy using PHP language. At a certain point of view, it becomes necessary to switch from PHP to Python.

The part of discussion is that of the cost which are incurred at the time of switching from PHP to Python. Still PHP has lot of momentum to the point that one would have to reinvent a lot of wheels to dump PHP. Ultimately the language is just a tool to get things done.

The problem to be solved is far more relevant than that of language. Rather you should focus more how to write code such that for the most we avoid some of the more poorly thought out features of the language. These all depend on the investment structure in your PHP codebase. It also depends on the nature of your actions.

On the other hand Python is a wonderful language for what you want to do either. The cost of switching or non-switching depends on the various aspects. If you are using PHP framework for the purpose of web presentation layer, if it is being used for the process of generating feeds, or running daemons or anything more complex than simplest HTML generations, you must switch towards Python.

Another aspect of dependency lies on various elements such as the number of servers you are running through PHP, number of programmers you have on your group that are able to describe clearly with Python and PHP, the performance requirements, the PHP framework used, availability of system administrators who are capable of dealing with it. It also depends on the features of PHP that you are using.

There are number of reasons to prefer Python web application development  as a best language medium. For developing a simple script, PHP is good but for the bigger projects, Python’s MVC frameworks are highly recommended, such as Django or TurboGears2. The matter seriously depends on the three major elements followed by ‘what you like to code in’, ‘what scales better for what you need’, and ‘what gets the job done most effectively and efficiently’. Thus the cost to be incurred depends on various happening or non-happening of the event.

1.    The primary cost is related to competency. You may have experienced while working with your team that the only pre-condition to any platform decision has been your achievements on it. In any of the 24*7 online operations where downtimes are usually avoided like the plague, the useful factor of any language would annoy you if you failed to explain why a particular service has been done for a while and you don’t have any idea to move with.

2.    Another cost which may incur is refactoring or re-architecting costs. There is a difference on the basis of approach. The Python approach to do web apps is totally different from the PHP approach of web apps. The way to port the capabilities of those existing well-tuned app to another language or framework is always dicey situations.

Apart from these two situations, there may arise certain cases where it would become necessary to incur some additional costs. Thus, the cost structure generally depends on several aspects among which some are discussed above. For more efficient and well developed service, you may always rely on Laitkor where you can easily get quality service at an affordable rate.

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5 Best Productivity Tools For Python Developers!

Python Development

Python developers generally use tools for most of the serious Python development that shows a worthy trust. The private micro-projects could be easily done by simpler editors. But to a higher lever and to think even beyond that, one must not simply use a notepad to save a few Dollars. For Just-a-beginner, Integrated scm-tools (for git and others) and better Django Integration are very good to deal.

Some of the best productivity tools for python developers are as listed:

1.    PyCharm

PyCharm is an Integrated Development Environment(IDE), developed by a Czech Company JetBrains, and is used for programming in python. PyCharm has a vast plug-in-library to care for many of the needs. The main features of this tool are, it provides:

•    Code analysis
•    A graphical debugger
•    An integrated unit tester
•    Integration with version control system (VCSes)
•    Support wib development with Django.

2.    Spyder

Spyder (formally named as pydee ) is an open source  IDE for scientific programming in Python language. It was developed by Spyder developer community. Spyder is an efficient tool that integrates SciPy, NumPy, Ipython, Matplotlib and other software. It acts as a support to interactive tool for data inspection and other services. Spyder is an available cross platform through Anaconda and operates in different mode in different environment. It may be available:

•    On Mac Operating system (Mac OS) through MacPort,
•    On Windows with WinPython and Python(x,y),
•    On major linux distribution such as Fedora, Open  Suse, Debian Ubuntu and Gentoo .

3.    pip

pip is a package management system, written in Python and is used to install and manage software packages. One of the major advantage of pip rely on the fact that it provides a command line interface which allows the installation of Python software as easy as providing one command.  Python 2.7.9 (and the later on Python2 series) and Python 3.4 (and later) includes pip by default.

4.    Virtualenv

Virtualenv is a productivity tool and a Virtual Environment Software for Python. It may be a software, a program or a system that manages, implement and control multiple virtual environmental instance. Virtual environment can be extended to use in any field from Military Alliance to virtual classrooms.

5.    Ipython

Ipython is a cross platform operating system that has a command shell for interactive computing in multiple programming languages, which was originally designed for Python programming language, that offers introspection, shell syntax, rich media, tab completion and history.

We at Laitkor can always assist you in providing the necessary information regarding the best productivity tools for python developers.

Source Link: Python Developers

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Here is the list of good Python editor/IDE

Python Development

1.    PyCharm

This is a cross-platform real Python IDE, and not an editor. It can work smoothly with projects of Django, Web2Py, Flask, Twitter, Pyramid, Bootstrap and Google App Engine. The main features are excellent code completion, code-analysis, code-navigation, good debugger, top notch django, HTML,CSS support, Javascript and many more. The only shortcoming that appears in PyCharm is that it is slow and its UI looks non-native in many of the platforms. There have been much improvement in PyCharm speed and with the updation of new version, feature and speed increases.

2.    PyDev

PyDev is an open source Python IDE for eclipse with Django support, and can be used in Python, Jython and Iron-Python development.  Other features include code-completion, code-navigation, analysis, remote debugging and many more. The best way of using PyDev is grouped in LiClipse, which provides PyDevbuiltin and act as a support for other language such as Django Templates, C++, RST, Mako and other.

3.    Komodo IDE

This is for dynamic language such as Python, Ruby and PHP. The new version of Komodo has marked a good improvement and it has features like multiple selection, code refactoring, better UI Interface, fast open dialog box and many other. It is an easy operating IDE whose configuration and easy to find and change. The editor and font rendering of Komodo is among the best. The new version claims to provide better OS X support but it do not support the cocoa textbox shortcuts by default.

4.    WingIDE

It is a solid Integrated development Environment (IDE) from Wingware. It is always been in development since 1999. WingIDE has many updated version and the advanced features includes first-rate debugger, code intelligence, and it can also be extended in Python. It has support for Matplotlib which allows the automatic updation of the plots.

5.    Eric

It is an open source IDE for Python and Ruby. It has a good collection of features such as Python and Ruby debugger, code coverage and automatic code checking, class browser and many more. It seems to be more like an editor rather than IDE, and contains features for Collaborative editing. Eric has been maintained actively (with new version of Eric4 & Eric5) but it fails to support Django and web programming.

6.    IEP

It is mainly a Python editor and not an IDE. It is useful for operators requiring for Matlab replacement. The practical aspects of design aims at simplicity and efficiency. This cross-platform supports multiple Python shells simultaneously and one can easily program GUI toolkits such as GTK, TK, PyQt4, Pyside, fltk and wx. It consist of an editor, a shell and a set of tool to help in programming.

We at Laitkor can always assist you in providing the list of good Python editor/IDE.

Source Link: Python

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From PHP (Laravel) to another web technology like Go (Raven), Node.js (Express or Meteor) or Python (Django)? Recommendations for big data

Python Web App Development

One thing should always be kept in mind, that there are variations in all server and program which precisely depends on the type of work required. The user may switch from one way to other, depending on the work that he wants to do. If someone would ask you a question “what is the best mean of Transportation: car, train, bike or an aeroplane?”what will be your answer?
It’s simple. It would entirely depend where you want to go.
It is all the same with the software. Here it is related to the following questions:

•    What is the architecture you desire?
•    What are your data?
•    What is the User flow?
•    How actually the data flows?
•    What are modules and what are their responsibilities?
Python (Django) is mostly recommended amongst PHP(Laravel), Go(Raven), Python (Django) and Node.js (Express or Meteor). It has tools for dealing with Big Data Projects including NumPy, Pandas, Bokeh, scikit- learn, Canopy and Numba.
Django may serve the above listed projects too, but it is best for Data mapping by using Geo-Django, the Django product. Also, if someone wants to deal REST API or serializers with other API’s, the Django REST Framework can integrate easily with rest of the ecosystem.
The Django ecosystem with the Django packages: Resuable apps, sites and Tool Directory can link with hundreds of apps to integrate with the Django project and would led to long run development.
One must also get to know about PyPI – Python package Index, which gives the access to the ecosystem of Installable Python Package. If you don’t want to limit to Django as a web framework, Python have a package of framework available with different approaches.
So, it is appreciable to say that Python is the best amongst the given list for Big Data Project. It has wide feature and scope for development.
We, at Laitkor are dedicated towards assisting you the best of web technology and Big Data Project. For any assistance on app development, feel free to get in touch with our expert panel.

Resource Link: Python

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Why to use Python for web development when PHP is damn easy to deploy?

Python Web Development

Here are the reasons
1. It is not the most important factor just to care for the ease of deployment. It is necessary to create a proof-of-concept website with more precision working for a longer project. PHP may save an hour or two, but is more annoying to deal programs of web development in a mess.
2. One of the reason for Python application development to be preferred over PHP development is, it is easier in Python to move from local to the server.
3. If there is any special configuration in machine, one has to check it and change it manually. It is a difficult process to deal manually and if there are some special php.ini  rewrite or mysqlmy.cfm, then it is required to find and install them.
4.  Some of the drawbacks of PHP:

•    It offers an insecure programming style in terms of design,
•    The language is said to be a minefield of hidden security problem,
•    There are harmful advices present at the documentation.
5. It is easier to read and maintain in Python than PHP. One can access the remote machine by writing scripts in Python, whereas PHP do not offer such facility.
6. Web development is concerned with not just deployment. Deployment is done after a thing or an app is being built. One may choose a prominent and required language for web development and deployment.
7. Python supports the facility of machine learning which helps in web development, while PHP is not.
8. The coding in Python is easy as compared to that of PHP. In Python, it automatically finds the scope of the coding block which helps the programmer to automatically end the code block. Method use of Objected Oriented Programming (OOP) is more easy and elegant in Python than PHP.
9.  Most of the applications are based on the math work which can easily be implemented by the developers using Python over PHP. Moreover, debugging is easier in Python.
10. There are lots of wrappers available for Python (like JPython and CPython) which helps the developer to use the native codes at web development.

We at Laitkor can always assist you in providing all queries related to the use of Python for web development.

Resource Link: Python Web Development

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How long should it take a skilled PHP developer to become fully competent in Python or Ruby?

Python Application Development

Actually, it would take a long time to serve the purpose but you will be able to get something to work on in a couple of weeks. Don’t be afraid and keep enjoying in learning a new language. It is not an easy task to grab a new language so soon, but gradually the developer may take command of it. Thus, it depends on the learning capability and applying it in practical world.
Consider the following points in reference to the topic:

1.    PHP is habited to adjust itself in a sloppy coding style and even expert PHP coders who don’t know any other language may get confused when they are told their Architecture and coding styles are awful. Instead, Python Application Development provides good style in most of the places. To make yourself good at Python, you must learn a good style.

2.    If you are skilled at PHP and using software/applications engineering practical, then it would not take you a long time. It would probably take you a week to learn the basic and many months to be competent. It actually depends on your work understanding and knowledge that you grab for a new programming. If you leave the practice, it would take you a week to unlearn all that you have learned, so continuous flow must be maintained.

3.  It is generally a two way process: First, it would consume time to speak the language and then to be fluent in that language. So, surely it is a time consuming process to give competition to Python or Ruby. If you want to be an expert, you need to be arbitrarily for most of the time.

4.  It may take a couple of week for a skilled PHP developer who can understand procedural, object oriented programming concepts, MVC (Modern view controller) and data structures. Python and Ruby are modern languages that implement standard concepts cleanly. The language concept in ruby is too tricky and this would consume time.

5.    It would take a couple of weeks to write simple programs and algorithm and within a couple of month you may be able to write production code. To do the work in pythonic way, you need to spend too much of time to be fluent.

We, at Laitkor are dedicated towards assisting you with the information related to the time that a skilled PHP developer to become fully competent in Python or Ruby.

Resource Link: Python Application Development

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