Switching a 10 year old web app’s codebase?

Web App Development

Are you planning to switch a 10 year old web application’s code base from ColdFusion to a more known and popular PHP, Python or Ruby language? Explore the benefits and downsides before making a leap.

If you have a working app for past 10-15 years say for example a hosted site builder application that is continuously serving hundreds of paying customer every month…then switching your app’s code base to a more recent one may be a costly and risky affair.

Lets find out why???

Rewriting a working application for no evident functional benefit mostly turns out to be both costly and risky. The whole development cost may pile upon to something you might not have imagined and that too up front. Do not forget that after the initial software rewriting you are also bound to pay for the ongoing operations and its due maintenance. In a way rewriting an app is just like developing it altogether for a second time with double the cost that is definitely not going to pay itself.

So, if your app is successful in the market and your team is managing it well and ColdFusion is also supporting all app features, then there is truly no need to rewrite the app.

You might think…

Your app will become outdated as the crowd is trending towards newer technologies. Remind yourself that your customers don’t actually care about the technology your application is built in, they are only concerned that the application should keep running.
If your application code has become disorganized, then consider refactoring the code. This can be done without any interruption to the app working.
Lets take an analogy…

If you build a snack factory, it costs a lot upfront along with its machinery and just a little for the ongoing maintenance. But one day you notice that other factories which are being built are using new architecture techniques. So should you rebuild your existing factory in order to take advantage of the new  technologies being introduced and then again put the same machinery for the manufacturing work? Or should you consider developing a new factory from scratch leaving the old factory to make revenue for you as it stands and using its profit in your new venture for a different target customer base

Here are some rock solid reasons for switching your code base…

You need a functionality for your app which is not supported by your current technology or may be it does but is very expensive or inefficient than offered by other technologies.
You take support from a vendor and he is discontinuing support. (Just FYI…ColdFusion is owned by Adobe and they still provide good support services)
Your old technology development team is moving and its getting tough to find a replacement for them. Analyse if it is more affordable to hire a developer and train him in the old technology or to rewrite the application.

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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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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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Should a PHP developer learn Java or Python to use Hadoop effectively?

PHP Application Development Services

Hadoop streaming has a very generic interface for writing Hadoop jobs that just reads from stdin. You can definitely use any scripting language to write Hadoop mappers and reducers, including PHP (or even bash). The PHP Application Development Services act as a guideline for onlookers of PHP development.

Should PHP developer learn Java or Python?

1.  You may get benefits from projects like dumbo that make it slightly easier to launch jobs, chain mappers together, etc. However, that is not very necessary and it is not too hard to replicate in the language of your choice. Python is a great language, and if you are looking for another language, this is a reasonable one for you.

2.  You can use perfectly Python for MapReduce programming. There are some wrappers for that:
-mrjob from Yelp
-Pydoop

3.  But there are some things more complicated in Apache Hadoop which will be done using the Java API. So, it makes it necessary for you to learn Java too to work well with the platform and understanding the code inside it.

4.   For Hadoop, PHP is the perfect language although PHP do not have threading mechanism but there are few good libraries for it.

5.   You can also do Java since that is what hadoop was written in and what you’ll find the most support for. But, Python will be more similar to PHP than Java.

6.    Hadoop is written in Java. So anyone wanting to eventually get to ground zero would have to Java-in. Python can get a lot of work done. PHP continues to be the language of the web. The PHP community will probably evolve to the level of being Hadoop friendly sooner, rather than later, to prevent loss of core user base.

So, PHP developers may use Java or Python according to their work requirement to use Hadoop effectively. For any relevant queries, you may contact our customer helpdesk team at Laitkor.

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Python development Services: How do you debug Python code?

Python Development Services - Laitkor

Debugging process varies from one service to another. Python can fairly assist to debug complex code when using loops, and dealing with some data. You must go with test driven development methods and version control technique as the best way to ‘debug’ your code. This can be applied with appropriate discipline and precision that your bugs are instantly obvious and triflingly isolated.

Debug Python Code

1.    Pycharm is one of the best python IDE which has almost all the features that a programmer need. You can download the community version of pycharm for free. It could provide you happy coding or happy indenting.

2.    Python has a debugging module, but it is console based and not visual. It is effective and light weight once you get used to it. There are free IDE’s available for python, notably IDLE and PyDev.there are also commercial IDE’s, notably Komodo from ActiveState.

3.    If you have Visual Studio, there may be plug ins for python. PyDev in eclipse is much easier of syntax-highlighting editor like Notepad++ and python’s native debugger, etc.

4.    Pdb is a good choice for python programs. There is also pydb available which is an enhanced version of pdb which can also be used.

5.    A debugger is simply one tool for actually debugging apps. Error handling, logging and simple print statements can be faster than debuggers. Visual Studio and C# are just one methodlogy of programming. You can certainly continue using best practices from that mindset, but you may find that just like python has different data structures and operations, it also has different ways of handling debugging than C#, of which a debugger app is just one.

6.    Pycharm from JetBrains is a really nice Python IDE. There are a lot more IDE present. You can move to TDD if you want. It makes a big difference for such a dynamic language, and people often end up using the debugger less. The convenience in trying thing interactively is another reason you see less use of debuggers among Python users.

7.    Python has a debugger built into the standard library: the Python Debugger. It is powerful, but the interface is a little arcane as is the documentation. Eclipse works for Python as well as for other languages, so it can also be a better option to use.

You can use Pycharm professional, but if you find comfortable with VS you should be aware that there is a very decent package called Python Tools for Visual Studio. It makes debugging Python fairly easy compared to some other tools. Give a try to few services and select those that fit your work best.

Do contact us in case of any queries related to Python development Services.

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Reason Why Popular Resources Use Python as Their Core Technology?

Python is a one-stop shop and relatively easy to learn, thus quite popular these days. It is quite popular among programmers, but the practice shows that business owners are also supporters of Python Development services. Software developers are keen for its straight forward and direct syntax. Python Development services are also reputed as one of the easiest programming languages to learn and operate.

Python Development Services - Laitkor

Python Development services for the Core Technology

Business owners appreciate the fact there’s a framework for almost anything- from web apps to machine learning and that is Python. Moreover, it is not just a programming language but more a technology platform that has come together through a gigantic collaboration from a number of individual professional developers forming a huge and peculiar community of aficionados.

Some of the popular brands that used Python to their resources are Google, NASA, WALT DISNEY ANIMATION STUDIOS, PHILIPS, RED HAT, NATIONAL WEATHER SERVICE, DROPBOX, WORDSTREAM and many others. These brands keep an immense trust on Python Development Services that is working daily and regularly.

The tangible benefits of Python to those who use it as a core technology

1.    SPEED AND PRODUCTIVITY

It is already aired within the development area that developing Python applications is approximately up to 10 times faster than developing the same application in Java or C/C+++. The impressive benefit in terms of time saving can be explained by the clean object oriented design, enhanced process control capabilities, and strong integration and text processing capabilities. Moreover, its own unit testing framework contributes substantially top its speed and productivity.

2.    PYTHON IS ALSO POPULAR FOR WEB APPS

Web development shows no sign of decline, so technologies for rapid and productive web development still prevail within the market. Along with JavaScript and Ruby, Python with its most popular web framework Django, has great support for building web apps and is rather popular within the web development community.

3.    PYTHON IS OPEN-SOURCE AND HAS FRIENDLY COMMUNITY

In Python’s official; website, it is stated that it is developed under an OSI-approved open source license, making it freely usable and distributable. Additionally, the development is driven by the community, actively participating and organizing conference, meet-ups etc. fostering friendliness and knowledge sharing.

4.    QUICK TO LEARN

It is said to be the simplest language that can give quick results without wasting much time on constant improvements and digging into the complex engineering insights of the technology. Even though Python programmers are really in high demand these days, its friendliness and attractiveness only helps to increase number of those eager to master this programming language.

5.    BROAD APPLICATION

Python is being widely used for the broadest spectrum of activities for nearly all possible industries. It ranges from simple automation tasks to gaming, web development, and even complex enterprise systems. These are the areas where this technology is still the king with no or little competence. It provides machine learning, web development, cloud computing and scripting.

Python is a programming language with a very long and rich history. It is a very well-documented language so it is worth considering when looking for the core technologies for a next project. There are many successful projects made with Python.

There are many areas where Python is still the king with little or no competence. These 8 popular resources have inspired the society to trust on Python and thus you will be able to see a number of Python’s followers

Source Website: https://www.laitkor.com/reason-why-popular-resources-use-python-as-their-core-technology/

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Best template engines for Node.js and why?

Before we talk about Python and Python application development services,  it is necessary to understand the Core Python. The task could be performed very quickly by Django but it fails to answer the user about the feedback which lack understanding of the Core Python.

The application of Python is vast in field. From the development of web applications (like django, pylons and tornado) to scientific and numerical computations (like numpy, scipy or interface to R), networking or management automation and system administration, the scope of python is appreciable. Along with the application, the toolkit and the standard python library has a wide range of usage.

Python Application Development Services

A python developer’s basic and important tools:

1.    Virtualenv

It is a python tool to create python environment. It is a virtual environment software to run Python/django and other apps and allow creation of new environment to install all package dependency into the Virtualenv, thus preventing the system’s site-packages. The package can be upgrated too. One can create a new Virtualenv, copy/install apps into it, run a test and delete it after the task.

2.    Pip

Pip is a package management system, written in Python and is used to install and manage software packages. It provides a command line Interface and a software can be installed in one command. Python developers keep this tool to reduce the time and increase the security. Python 2.7 and Python 3.4 include pip by default.

3.    Fabric

It is a command line tool and python (2.5 to 2.7) library as a platform to the use of SSH for apps deployment or system administration tasks. This helps to write deployment script and to create a basic suite operation for compiling local/remote shell command and uploading/downloading files and auxiliary functionality. The components of fabric may be imported to other Python code and provide high level Pythonic interface to SSH protocol suite.

For a Python tool developer or a software engineer working mainly on distributed systems and web application, it is mandatory to have one among django/ tornado/ pyramid/ bottle/ web.py or turbogears.

We at Laitkor can always assist you in providing the necessary information regarding the best tools that a modern python developers must have.

Source Website: https://www.laitkor.com/best-template-engines-for-node-js-and-why/

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5 Reasons why we switched from python to Golang

Python is a programming language which helps you in integrating the system and helps you work more efficiently, Python is used by thousands of people to do testing of microchips and building video as it is of general purpose programming.So, if Python is all that great, why Golang is the burning question! Read on to learn why we’ve switched from Python to Golang.

Go is a free and open source programming language created at Google in 2007. Go is a systems programming language for large, distributed systems and highly-scalable network servers. It is thus capable ofreplacingC++ and Java in Google software stack and even Python from the coders mind for that matter! Let’s have a look at what makes Golang so different.

Golang Development

1. Static type system

Here is where things get interesting! In the process of getting the specific task library work done people somehow don’t see the language in which the coding is being done and unfortunately python is a static type system! What is a static type system? This type of language basically requires a programmer to dedicatedly tell the computer what type is each kind of data value. C and C++ fall in the same category.Although Golang also falls in the same category but there are a lot of differences in the way Go takes care of errors. There can be an essay altogether on the ways Go tackles with the errors and concurrency. The other major concern is that due to the dynamic type system the bug can be easy introduced into the system.

2. High dependencies in Python

Dependencies are a major problem in python. You are required to install dependencies using separate commands (Virtualenv, pip, buildout,distribute,easy_install) and the task isn’t simply done with that!You can still lose track of old versions of software or get compilation errors. The graphic user interface which can solve these compilation problems are themselves so huge in sizes that it makes all your efforts go in vain as it takes hundreds of megabytes of space. For the installation of dependencies in Go we can simply do that by using the go get command and all the dependencies are installed.

3. Speed

Python can be called the slowest in all classes of languages. This can be proved true once you try to run a service on Python at scale! It can take ages for it to happen while in Golang parallelism is available which means that the task and loops can run in parallel without hindering the speed and performance of each other.

4. User friendly Golang

Ever thought of why some languages are so much into use while some have just not been able to make their way into the market? The simple reason behind this is how easy to use and understand the language is. Golang has very simple and direct codes and thus can be grasped by the user with great ease. It has simple installation steps, easy updates and is very efficient too. What more can a user ask for?

5. Compilation into single binary

Being built on a complied language Golang development has come a great way ahead of Python and many other languages for that matter. It links all the libraries into a unit using static linking. Unlike Java you don’t have to go running after all the dependencies and still face errors for any glitch for version default.

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