Developing Algorithmic Processes

If someone asks you how your day was, you daren't simply say only "was" or "it"... in answer right?

..well my friends, in the complex simplicity of Algorithmic Processes, it becomes this trend of specificity in how we shape, like our answers to the questions of others, both our thinking around the solutionary means we use in solving some of our most complex algorithmic puzzles and likewise, the chronology of steps taken to derive at such a course of action.

The Algorithmic Processes we use to solve our most pressing computational phenomena, require that we observe with precision and stringency the instructions involved in formulating solutions to our automation tasks, such that, we ensure the step by step instructions, produce our aim in outcome.

Otherwise, we might find that even our most well intended efforts fail to yield the functional outputs of our programmatic inputs....and unbeknownst to us we've officiated the unintended production of what I like to call, gobbly gook...warranting hours upon hours of refactoring what we believed to be the solutionary algorithm to what we were trying to accomplish when in fact it proved sketchy at best.

And here fellow technophiles, enlies the critical nature of developing algorithmic thinking, or those definitively outlined sets of instructions and processes used to program 'the machine'.

And as you sharpen these talents, here's a few pointers to help you along the way.....

Pontificate... Pontificate... Pontificate

We each of us speak and function from within the realm of our thinking trends, so a good measure to be taken with aim to improve our problem solving, information processing and algorithmic derivation talents, is in none other than the way we speak.

Hence, we should aim to always speak with precision and in verbose chronologically modulated  ways. 

This helps us to develop the knack for our thought to speech and subsequently, functional productions of interpreting, processing and developing algorithmic methods in our programming tasks.

Write...Write...and Write Therein

Some of us programmers, OMNITEKK included, fail time and time again to write down the processes involved in solving our IT tasks. 

We can't express enough how imperative it is to develop the habit of writing down, even if only using pseudo code, the step by step processes taken to develop your algorithm.

This helps even the most seasoned programmers to utilize trends and functional processes in writing your codes.

So we task each of you with developing the wise and prudent ways of some of the best to ever do it in the IT world, by writing down the steps taken on your algorithmic journey.

Reading Is Definitely An Essential Cornerstone

There is so much to be had in reading and learning the ways of efficiency in algorithmic puzzle solving from the juggernauts in coding, who might certainly imbue us with a few tricks of the trade in developing structural solutions to our automation tasks.

There is no reason to reinvent the wheel if we don't have to.

As such, so many of our most pressing programming tasks have already been explored, with some even proving to encompass a few prized techniques and interesting solutions to be explored, used, and dare I say, improved upon hidden within the deep vestiges of books.

So do read and read quite often to improve upon your problem solving and algorithm developing talents.

Join Online Support Communities

We are currently in the information age - although, being the audacious and brightly lit tech community you are,  we're quite sure you already knew this.

So do take full advantage of all there is to be had in the online Communities of Techies and IT Enthusiasts, along with their arsenal of information on some of your most pressing programming tasks.

There's an overflowing supply of solutions and fully constructed applications and even live folks who can help you along the way in developing your algorithmic tasks.

Fail and Fail Til You Get It Right

None of us are perfect in what we do. As such, one of the best ways of improving upon our talents lie in the process of learning from our failures.

For if at first we don't succeed, we must try and try, and try again.

It is in this process that we learn all the ways that what we are trying to accomplish simply doesn't work.

And while you do, OMNITEKK suggests you utilize the previously listed tasks to help you along the way.

And that's it folks....

.... we hope you've enjoyed our walk down Developing Algorithmic Processes Lane. 

And until our next IT adventure my friends, OMNITEKK says be well.

Decision Trees

To be or not to be is the primary question to be asked when constructing the glorious Decision Trees that help with the processes involved in deterministic statistical decisions based on branches taken from attributional qualities of population or sample data.

 

As functional inputs are processed within an algorithm to determine a probability of distribution, the key constitutional factors of specificity within the sample are used to branch on the likeness of an attribute or quality.

 

For instance, given the defining attributes of an item compared with some other item of distinct, yet similar qualities, the decision tree algorithm is designed to utilize differential groupings to branch either left or right to associative nodes or leaf representations of specificity.

 

Where there is otherwise redundancy or ambiguity in the selection process, the algorithm must then be pruned to ensure the integrity within the branching and algorithmic decision taking.

 

Decision trees have significant use in Search Engine Optimization (SEO), Categorical Determinism, and Finding Similarities and Trends within groups of information such as in fields of Artificial Intelligence as well.

Source 

The primary structural attributes of Decision Trees are as follows….

 

Nodes – Nodes are the attributional qualities of a distribution of variation. They entail the defining characteristics within a decision or branch to be taken.

 

Branching – Each decision to be made pertinent to a specific attribute, is the culmination of branches within the sample. For instance, from the picture, we can easily determine each branch or decision as either a left or right…yes or no traversal for each item of variation.

 

Splitting – The attributional qualities to be chosen within a sample are the qualities which are split to best differentiate the accrual of specificity within the sample.  predecessor data relative to successor nodes are disintegrated so as to distribute key structural characteristics within the item or distribution.

 

Stopping – Leveling of tree information is essential to subverting over-complexity within tree structures. As such, designers must vigorously construct the decision levels in such a way as to preserve the integrity of data representations. This is where the concept of stopping or leveling is best implemented.

 

Pruning – As trees are constructed, information or branch redundancy might actualize, effectively decreasing both efficacy and precision within the tree structure. The notion of pruning, or restructuring nodes, and branches where necessary serve to maintain data and attributional tree integrity.

 

As the digital information age advances, the uses of Decision Trees gain further uses within IT as well as mathematical and statistical fields. They allow staticians, programmers, data miners, and data enthusiasts alike, to effectively group, differentiate, and determine viable connections between the vast collections of information being processed, serving to forge higher efficacy in both structural data collection and methods in developing analytical tools.

OMNITEKK hopes you've enjoyed our walk down Decision Tree Lane, and until our next IT adventure friends, be well.

 References

 

SOFTWARE DATA COLLECTION TRENDS

In the glorious world of IT and computing, programmers must always find efficient ways to collect application data, such that software, hardware or interface errors, can be easily and efficiently subverted, essentially allowing the application to function as designed. 

Efficacy in methods for software improvements are also a very necessary attribute of the software development life cycle.

And while there are a significant number of data collection and reporting methods that serve to seamlessly allow developers to recognize and report anomalous behavior, there are certainly a few surefire ways to make the best use of such trends...

...Let's have a look at OMNITEKK's faves shall we.

Application Services

One of the best ways, your PC ensures that applications run as they should, enlie in the background processes that run alongside your most sophisticated applications, serving as a primary means of tracking anamalous behavior, serving as a proficient data reporting mechanism, and an applications recovery mechanism as well.

We've all faced those pesky software anamalies, where our application's built in recovery methods saved the day in our aim of data and workload recovery...haven't we?...

...this my friends was none other than your applications background manager and software services at work.

Manual  User- To- Designer Messaging

While some of the best to ever do it in the marvelous world of applications development, have devised efficient ways to ensure that your software application functions as designed, even the brightest of developers don't always account for all anamalous behavior.

And this my friends, is where avenues for end,- user manual data and application reporting reign supreme.

A well designed application should always have a manual method of data collection and reporting, that allow for both atypical applications behavioral trends, along with evolutionary provisions in the development life cycle process to provision pertinent data messaging to be sent to applications administrators where necessary.

The art of elegant  software design, such as in  manual user developer communicatory methods, not only help with applications improvement methods, but they also take your application from good to great in your design techniques.

Data and Application Recovery

An applications ability to recover from anomalous behavior, by way of either autonomous data save methods or even server- side cloud data storage facilities, allow end users the luxury of worry free data recovery methods in the event of anomaly or application fault.

Interactive Troubleshooting

A sure fire way to narrow down anomalous applications behavior lie in your software's means of either an autonomous design process of specificity, such that your application itself can provide detailed information where necessary, or by way of end-user provisional question-answer (Q&A) methods that allow for time efficient precision troubleshooting to commence.

Data Analysis and Metrics 

An application's Development Lifecycle Process (DLP), should almost always contain some sort of data trend methods that allow for software improvements to occur seamlessly.

This is where data analysis and software expansion measures work best.

They essentially take the guesswork out of those  critical data trends that help developers improve their  software design aim, thus allowing the  autonomy of statistical processes to highlight data  use-case  scenerios.

An application is only as good as it's measures of staying above the curve in the evolutionary process from concept to design, to end of life and rebirth in functionality and version.

As such, it becomes a critical measure in the software design process to ensure that your application can utilize efficient data collection methods to ease the process of improving software functionality, as it is our aim to help our technophile community take your design projects from good to great.

We hope you've enjoyed your walk with us down Data Collection Trends Lane...

..and until our next IT adventure OMNITEKK says be well.

AND THEN THERE WAS THE COMMAND LINE

How easy it is for the programmers of new, who daren't delve into the complexities involved in the deep of the command line, instead opting for the ready-made applications compilers and enhanced linker functionality pre packaged within most Integrated Development Environments (IDEs), such as Visual Studio, NetBeans, and JCreator, to name a few.

And while there is certainly a level of ease and flexibility in allowing your IDE to compile, link and parse the necessary libraries and files for you, so your best creations can come to life, it has always proven talent enhancing when developers and end users alike, utilize the, dare I say, plush features of the command line along with utilities like PowerShell, the Linux Shell and MakeFiles to manually link, compile and access interface free application functionality to process most of your software design needs.

So here's a few tips on navigating your way around the glorious command line in manufacturing application executables as well as utilizing most all functionality that can be accessed using Software Development Tools and Graphical User Interfaces.

Compiling And Linking Software Programs

The command line and it's application integrations should be your best friend when it comes to utilizing it's functionality to compile and link your software projects. 

And while there is certainly a learning curve involved, the reward of learning how to utilize command line arguments to process your programing projects, far outweigh the time it takes in learning them.

Most Integrated development environments include an abundance of command line tools that allow programmers to test, debug and run projects same as the visual controls within your most prized application user interfaces.

You can usually find your software application's developer manuals, containing instructions for command line parsing on the manufacturers official website.

Applications Administrative Tasks

The command line, along with your operating systems shell command application can be used to install software,  access system and disk information, schedule administrative tasks, as well as delve into application accessibility functions, and the utilization of specific disk and User Account Control (UAC) tasks also. 

Worthy of note is that most of them are also imbued with a few 'easter eggs' also...making OMNITEKK'S technophile explorers quite pleased in their finds of undocumented machine functionality.... So Happy Hunting.

Interprocess Communication(IPC)

Unbeknownst to most entry level developers and PC casual users, most software applications provide comprehensive functionality and integration tools that allow them to be seemlessly consumed within differing application ecosystems, all from using command prompt IPC directives.

Interprocess Communication tasks allow seasoned developers and enthusiastic learners alike, to utilize all there is to be had in integrating the richness of functionality within most of your prized applications in other software environments.

So be sure to visit your software application's website for the latest information and tutorials, along with developer manuals for your project design needs.

As self-proclaimed technophiles, we encourage our OMNITEKK community to explore the vastness of your PC and application's functionality. So, again do have a look at your applications developer site for up to date information and all the vainglorious how-to's therein.

And until our next IT adventure my friends... OMNITEKK says Be well.