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This is an undeniable fact that the iPad is not the most favoured hardware choice for programming purpose. However, with the increasing popularity of this device, many developers are dedicating themselves to devise such applications that work well on the iPad and are not offering very unsatisfying services! Here is a list of 7 efficient programming apps that work well on the iPad without creating many complications.

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#1 Coda

Initially, Coda started its journey as a Mac editor only. However, now, Coda offers an impressive and dynamic iPad and iPhone text editor as well. Due to its utmost efficiency, many developers are looking forward to this programming app. Some of its remarkable features are:

It provides necessary support to syntax highlighting for several programming languages such as C, Apache, HTML, CSS, Go, PHP, Python, Perl, JavaScript etc.

This application includes remote as well as local file management along with a diverse collection of remote protocols like WebDAV, SFTP, DreamObjects and Amazon S3.

Using Coda, you can avail facility of 'Clips' that is a smooth way to store the most commonly used bits of codes.

#2 Buffer Editor

Another top-notch code editor is Buffer. With the help of Buffer, you can effortlessly connect a plethora of remote services like Github, Dropbox, SFTP, FTP servers and iCloud SSH. What are the other features? Read on to know more.

It features Vim coding support, a Unicode support along with an extended keyboard.

Buffer offers facility of code auto completion and syntax highlighting for many programming languages that include AWK, Ada, ASP, ActionScript, C++, C, Arduino, C#, Python, Ruby, SQL, JavaScript, Java, PHP, Perl, Puppet, INI, CSS, R, Progress etc.

#3 Textastic Code Editor 6

If you are looking for a Textmate-compatible markup language editor that efficiently works on the iPad, this Textastic Code Editor 6 is just the perfect choice for you. It not only offers facility of syntax highlighting for a long list of programming languages but offers the same for markup languages as well. Additional features of this editor are as follows:

It provides auto code completion for CSS, JavaScript along with PHP functions at the time of editing.

This editor comes up with its own server of WebDAV.

It can effortlessly communicate with SFTP, FTP, Dropbox.

#4 OmniGraffle 2

If you are looking for an editor that is extremely useful for diagramming, you can put your trust on the OmniGraffle 2. The process of a site planning becomes utterly smooth using this version of the editor. Yes, this package is a bit costly compared to the other options mentioned in the list but once you use it, you would understand that it is worthy of its price. Some of its remarkable features are:

A great variety of in-app purchase options is available in OmniGraffle 2.

Smart guides are available to help you with optimising the diagram in flash.

Using it, you can easily draw various shapes and drag the objects.

Visio Support is also available in this package.

#5 Pythonista 3

Pythonsia 3 is famous for offering a complete scripting environment to the users, who use a Python compatible iPad, iPhone and python course london iPod Touch. To run it, you would need iOS version 8. Additional advantages of using this editor are as follows.

Not only auto code completion and syntax highlighting but support are available as well for the Python version 2.7 and 3.5.

It features third-party modules like Bottle, SciPy, BeautifulSoup etc.

Matplotlib and NumPy integration are available for scientific visualisation.

#6 CodeToGo

CodeToGo is extremely easy-to-use and very intuitive. The main reason for the popularity of this editor is simplicity. Here are some of its satisfactory features.

It provides facility of writing and running code in almost 50 distinct programming languages. Moreover, syntax highlighting is available languages like Python, Ruby, Perl, Java etc.

Communicating with the Dropbox becomes easier using CodeToGo.

The process of file transfer to and from the computer becomes smoother using iTunes File Sharing system.

After writing the code, using ideone.com API, you can test it on CodeToGo and can see the output.

#7 Codea

This editor is very useful for developing simulators and games. Why is this editor becoming popular? Here are the reasons.

It offers visual editing and syntax highlighting facility for Lua.

Codea includes shader support, a graphics renderer, touch support along with a Physics engine, camera and accelerometer.

Apart from all the above-mentioned iPad programming apps, iOctocat, AppCooker, JavaScript Anywhere etc. are also trending in today's market.

PROSPECTS IN THE FIELD OF MACHINE LEARNING

The prospects are extremely good and high. There are two perspectives in the field of data science which are described as follows:

a) The one side includes data cleaning, drilling deep into the analytics and understanding the key performance indicators along with visualization skills. This can be done through some basic statistics and regression models

b) The other perspective includes predictive models and optimization; the complex side of machine learning.

CAREER IN THE FIELD OF MACHINE LEARNING IS NOT AN EASY TASK: REQUIRES A LOT OF EFFORT AND TIME

The career requires a lot of self-learning. The aspects to be kept in mind as a beginner are as follows:

a) The theoretical aspects associated with mathematics, statistics, Computer Science, Operations Research, other Machine Learning theory are required to be understood properly so as to gain an in-depth knowledge about them.

b) 'Learning by doing' is a famous saying which states that the theoretical aspects can be understood effectively and deeply if these concepts are applied practically. Programming in languages such as R, Python, etc.; working with the databases; dealing with the big data, methodologies and techniques; practically experiencing data wrangling and visualizing the findings in the form of reports etc.

EXPERIENCE IS A MUST FOR GETTING A REPUTED JOB

Getting the jobs in this field requires a lot of experience. The relevant work experience can be gained by working in the junior positions in the companies doing a lot of analytic work. Experiencing analytics would let you move from data analyst to data scientist or machine learning.

Work experience hardly matters in the startups because they require the individuals who aspire for self-learning ability.

The workplaces in which you are engaged try to find the projects involving machine learning. It is not necessary to work on the projects associated with your job profile; you can work overtime by working on some projects which are not related to your job profile but goes perfectly with your skill sets. It would let to have a good impression over your boss, which would further lead to promotions. It might lead to a change in your role in the organization. This would lead you to the roadmap of your career in this field.

This way work experience can be gained by making you eligible for the reputed jobs of the top fortune companies in this field.

The job profiles associated with machine learning includes Software Engineer, Software Developer, and Data Scientist etc. The average salary package of a machine learning engineer amounts to $1,00,000 per annum. The pay package varies with the amount of work experience you gain and the skills sets you acquire year by year.

Always try to learn more and more. The new stuff would let you explore the new areas in your workplace. Never stop learning.