Few Python programming problems

Python is a high level programming language that has in built data structures and dynamic semantics. It is a preferred language for Rapid Application Development as well as a glue language for connecting existing services or components. Needless to say, Python is an impressive language but it has its own sets of problems that might lead the programmers to bugs and poor performance. On the other hand, developers are human beings as well and to err is human. There are certain common mistakes that Python programmers commit while coding software. However, if you are aware of these common problems, then it might help you to avoid falling into the trap when coding with Python.

Use of wrong indentation

There are several Python features that are dependent on indentation. For instance, if a developer is creating a new class then everything in there will be indented under the class declaration. Similar rule applies to loop, decision and other structural statements. In case you find that a code is executing a task that it should not be doing, then it is time to review the indentation that you have used.

Data and Markup Mixed
This is another common mistake committed by the programmers. If you mix up markup and data then it leads to a number of problems and finally to unmanageable codes. It might happen that you have data in a string and this string will have a particular format. If the format is in prosaic text, you would want to preserve the newlines and at the same time collapse the whitespace into a single space. The problem is the data appearing on a website is in HTML format. Generally it is suggested to escape the input text and convert the newlines to simply. This is a wrong approach. One of the main reasons why this is wrong is due to the context. Owing to the API concept web applications are growing more complicated nowadays. Thus, there are other forms, like, JSON in which the web functionalities are also available. So the best way to be on the safe side is to store data as it arrives instead of flipping it.

Choosing assignment operator
There are many developers who rely on the assignment operator while performing comparison between two values or objects. The problem is that the assignment operator simply places the value or an object within a variable. It, however, does not perform any kind of comparison.

Problem with choosing the framework
It often happens that more than the desired time is spent on choosing framework. When you have a small application, there are no problems with framework. Even if there are more codes switching systems is no difficulty when need arises. On the contrary if you want to switch a core component like the ORM, it is conveniently achievable. This process was more difficult when the systems were incompatible. But now choosing the right framework is quite an easy job. Hence, there is no point in spending much time over its choice.

Monolithic systems have no value
In this world of agility, building monolithic systems make no sense at all. The web developers have good advantage as they can work with HTTP. You can write small services with HTTP and combine them together with another application. You can also choose to use the load balancer between the individual components. In case you do not have the Python library required for the job, you can also make use of Java or Ruby for writing a part of the System. However, it is important that the programmers do not use 8 different languages and with various runtime environments. This would completely jeopardize the life of the system administrator.

Count by one errors
This is created on the loops. What a developer needs to keep in mind is that a loop will not count the last number that is specified in a range.

Spelling errors
Now, this is really unfortunate. Even some of the most experienced developers commit this error. It is better that they adopt a common approach for naming functions, variables and classes. All it requires is to be a little careful while typing the naming schemes.

If you are interested in working with Python, it is imperative to program it without any errors. The above mentioned points will help you to avoid some of the most common mistakes in Python programming.

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Python Development - Attain Robust App Building

Many programmers opt for Python to express concepts without writing longer lines of code. As a dynamic programming language, Python is also used for both scripting and general purposes. The simple syntax and semantic further makes the programming language highly readable and easier to learn. You also have option to use the large standard library provided by Python to accomplish a variety of common programming tasks including establishing connection with the web server, reading and modifying files, and searching for text with regular expressions. However, you can always consider some simple tips to attain robust application building without putting any extra time and effort.

5 Simple Tips to Effectuate Your Python App Development

1) File Handling

Python enables you to handle your files efficiently without importing additional modules. You can simply use a built-in called as files to accomplish file handling tasks. The object allows you to manipulate files by using a set of basic functions and methods. For instance, you can use the built-in open() function by passing the file name as parameter to open the particular file in read mode. Likewise, you can manipulate the file by using a variety of functions like read(), readline() and readlines(), write(), writelines(), append() and close() functions.

2) Language Rules
You can easily enhance the readability and aesthetics of your code by using PEP8. The style guide for Python code will further help you in maintaining consistency within individual functions and modules. It can also be used to maintain consistency throughout the project. For instance, based on the requirement of your project you can consider using imports, packages, exceptions and generators. Similarly, you need to avoid using global variables, and use list comprehensions only for simple cases.

3) Python Style Rules
The PEP8 style guide for Python can also be used to customize your code. However, you must remember certain styling rules while customizing the lines of code. You must avoid using semicolons (;) to put two commands in the same line or terminate lines. The length of each line must not exceed 80 characters. You have to indent the code blocks with 4 spaces. It is also important to use the most appropriate style for method, function, module and in-line comments.

4) Browsing with Mechanize
As a useful Python module, Mechanize makes it easier for you to navigate through the web forms. You can use the browse-like object provided by the module to interact with the web pages. To use Mechanize, you have to create a browser object and specify its settings. Then you can open a web page, and list the forms included in it. After selecting the web form, you can use the browser object provided by Mechanize to iterate through the web form controls. You also have option to select text controls, and set these as a string or access in read only mode.

5) Using Python for the Web
As noted earlier, Python can also be used as a scripting language for the web. You can write Python code to interact with other applications. Your application will use application programming interface key (API key) to access a variety of services on the internet including Facebook, Google and Twitter. Further, it can exchange information with other systems through JavaScript Object Notation (JSON). JSON can also be used in a variety of forms including string, array, number, value or objects. Thus, you can easily optimize the performance of your application by accessing and integrating with a variety of online services.

You also have option to use Python development frameworks to rapidly build robust applications. The tools provided by these frameworks will make it easier to accomplish specific programming tasks without writing complex code. Also, you can access various online developers’ forums to know some of the Python development best practices.

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Why is Python gaining popularity among programmers?

Python, the high level interpreted programming language is also noted for its strength in server side scripting. This object-oriented dynamic language is often compared with Microsoft’s .NET and Java based languages and pitted as similar to these two. It can be used for software development of various types. It lends excellent support to integrate with other technologies, showing high productivity all through its development life cycle. This open source language is growing at a rapid pace. The pseudo code and Python code resemble each other. Even multi programmer development teams find the language quite readable- all thanks to the syntax rules as well as elegant design.

The interactive as well as portable language can be easily learned. It offers a number of benefits including dynamic semantics as well as rapid prototyping capabilities which have resulted in the language gaining popularity very rapidly. Some of the notable features which have resulted in the popularity are given here.

Straightforward support- Python has a great community which provides good support to the users. Since the code can be accessed freely by anyone and everyone, millions of developers all across the globe function hard to locate bugs so that they can be fixed accordingly. This results in fresh enhancements being added to it.

Integration- Python is multi-functional- it helps in easy development of web services, direct calling from and to C++, C or Java codes, providing of powerful capabilities for process control, invoking of CORBA or COM components, easy implementation of all internet protocols along with embedding of processes XML, data formats as well as other mark up languages as scripting language. The same byte code can be run on every modern operating system.

Readability- Python’s syntax is clear and easily readable. Its organization makes it imperative for programmers to maintain some order. The code can be easily understood by both experts as well as beginners, which makes it easy to become productive very rapidly. The development as well as prototyping any program is easy. The cross platform portability also makes it easy to simply code one time and then deploy it to several environments. In fact, there are lesser dialects in this language than most other popular languages like Perl.

Quick coding- Several tasks that normally have to be taken by other languages can be skipped here. Eventually the program maintenance is low in cost. The code can even be quickly adapted. Python is often known as ready-to-run language in which the simple code can be easily played with and tested.

Object-oriented- Generally scripting and programming languages have varied object-orientation support. But all the aspects of this language are designed as object-oriented. The programming process may be started by using non-OO structures. This programming is simple as well as beneficial for all.

Portability- Python runs across a variety of systems. Not only that, the interface is quite similar on various platforms. The language design is not specifically attached to some particular operating system. Thus Python program can be written easily on a particular operating system, tested on some other system and uploaded just as easily to another system.

Reusability- Program can be reused since the modules and packages are implemented carefully. There is a gigantic set of modules innovated and offered as Standard Library that forms a major part of the distribution of Python. The functionality can be shared simply between various programs through breaking up into several modules to reuse them as parts of other particular programs.

There are several programming languages available these days. Some popular languages are Java and C. However, the process of writing, testing, compiling as well as recompiling in them can be extremely slow and laboriously complicated. Python is fun to use, easily learnable and has enough power to handle even the most complicated tasks. So when the programmers find it hard to choose between the several options, most of them opt for Python. It has become a useful companion for many which accounts for its rising popularity.

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