How Have Python Made Machine Learning Convenient?

25 April 2019

In the world of software development, Machine Learning also known as ML and Python are the two most popular terms that are in the current craze. Python is a high-level software programming language that has become the underlying base of many famous applications like Nextdoor, Instagram, etc. Machine Learning is a very important part of Artificial Intelligence (AI). Both of them target towards improving the many aspects of computer applications in their own different ways. Python is a programming language that is extremely easy to understand because of its simple syntax structure. As a result, developing the applications becomes a quite easy and simple yet strong framework. Machine Learning, on the other hand, helps an application to self-improvement without any prior programming.

Integration of Python with Machine Learning has offered a number of benefits to the candidates because of which, candidates are able to work in this field more conveniently and efficiently. In order to understand how Python has made things convenient for the individuals, it is important to understand the various facilities of machine learning with Python.

How Have Python Made Machine Learning Convenient?

Ease of Understanding:

As discussed above Python is one of the simplest forms of programming applications. Since, Machine Learning consists of complex algorithms, having one easy language to form the structure increases the code readability and decreases its maintenance.

Vast Libraries:

The huge volume of libraries that are available in Python for Machine Learning’s disposal is simply amazing. Some of the famous libraries are Numpy and SciPy for respectively for scientific computation and advanced ones. Data Analysis and Mining heavily rely on SciKit- learn. One framework named PyTorch is specially developed for Machine Learning. Other popular frameworks include Apache Spark, CNTK, TensorFlow, etc.

Better quality output:

Python is easy to understand and develop leaves the developers with plenty of time to increase the quality of Machine Learning application. The trial and error time on the complex algorithms is much less thereby providing plenty of space for improvement. The result of such an effort is usually very satisfying providing the end user with a pleasant experience.

Extensive Support:

The community of Python and Machine Learning Developers is ever increasing. In case, one stumbles in any area for their development, there is a horde of solutions available that are provided by the members of this huge community. Help is just a click away for any issues that one encounters during the course of development

Flexibility:

The flexibility the Python provides in developing frameworks for Machine Language is just amazing. The numerous approaches that can be used in development are lucrative for the designers and the developers. Linking data is altogether quite different becomes very easy for Python based Machine Learning frameworks.

Name and Fame:

The popularity of Machine Learning with Python base is on high demand. As a result, more and more people are inclining to learn and use the combinations. Therefore, it is easy to get such trained individuals in the market and get the job done.

Higher Career Opportunities:

In the hindsight of the previous discussion, more and more companies and organization are changing their base towards Python based Machine Learning frameworks. Therefore, job opportunities are increasing. This results in getting better jobs where the pay is extremely good and rewarding.

Fewer Trials and Tribulations:

Since Python has such a huge number of libraries, there is no practical need to compile the language in the instructions of the Machine Learning beforehand. It can be directly used in the program. Needless to mention, it saves time and effort which the two essential factors in any development and delivery.

Cost Saving:

It is a known fact that Python is an open source language that can be used freely in the system without any licenses. This aspect saves a huge amount of money that is otherwise spent on licensing fees across numerous platforms. The cost saving is immense which increases the budget of the project thereby increasing the quality in general.

Dynamic Support:

Machine Learning is a fast-paced framework that needs dynamic support. There are very less number of high-level programming languages in the current market that can provide such support, except that of python.

Platform That Is Quite Independent:

The flexibility that Python provides urges the developer to use it in any Machine Learning platform. This independence of platform that can be seen in the case of Python is making it extremely handy for a Machine Learning project that leads to successful development.

Statistical Modeling:

The model that can be used to develop a Machine Learning framework can be many. Python helps to create statistical modeling for the Machine Learning that is easy to comprehend and maintain.

Data Set Maintenance:

The first step towards developing a successful Machine Learning framework is to maintain a strong data set. Data set can be defined as a collection of information that the Machine Learning uses to enrich its algorithms. Using Python to set up the data set for Machine Learning is extremely easy and hassle-free.

No Learning Hassles:

As previously mentioned Python is easy to understand. This causes no learning hassles for individuals. Therefore, creating able developers with Python knowledge for Machine Learning frameworks becomes quite easy and less time-consuming.

Easy Transition in Research:

The machine learning frameworks that are primarily developed for the research projects rely heavily on Python as their base. Research projects related to pattern recognition or data analysis do not have enough time or budget for complex development languages. In such scenarios, Python provides the best solution with its ease of understanding and easy comprehensiveness.

Customization Is Quite Convenient:

Python’s flexibility with its easy to understand programming syntax and platform independence actually helps it to be customized to any need. A solution fits in all the needs and requirements without much hassle.

Highly Adaptable In Nature:

Python is a programming language that is quite easy to comprehend. The range of its comprehension is on a global scale. Even a fourteen-year-old kid would be able to understand and code in Python. This aspect increases its adaptability in the numerous Machine Learning platforms that are widely used across various areas.

No Space Crunch:

Machine Learning is all about efficient data handling and the way an application with the use of available data can do a better performance without any human intervention. This requires a lot of server space to load various kinds of data to feed into the respective algorithms. Python’s easy code requires much less space as compared to others. Therefore, it saves precious server space to accommodate more data thereby increasing the Machine Learning performance.

Conclusion:

The rising popularity wave of Python and Machine Learning will not go away that easily. Therefore, it is high time that both these aspects should be learned and implemented. Learning them would open different doors for numerous opportunities. Python because of its easy comprehensiveness will be the only weapon to code Machine Learning in the near future. It is always advised to future ready with an enhanced skill set.

Machine Learning will slowly have a huge impact on the world we live in. Understanding and controlling machine learning would be the only way to survive in the cutthroat competition. Using the weapon of python one should start conquering the area of Machine Learning. It is the best buddy that developers want to be friends. The benefits would be extremely rewarding when one integrates the programming language of Python with the various aspects of Machine Learning framework.

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Software Development Team

The development of any intellectual product is initially aimed at success in its implementation. In this regard, it is extremely important to ensure the proper quality of the software, application, or another result of the work. A properly selected Software development team is several professionals who can organize the work of creating software in a short time and at minimal cost to the investor, and also guarantee the relevance of the product. How to choose the correct development team? The level of professional training and work experience of specialists involved in the development of an intellectual product depends on the complexity of the work, as well as on the budget of the investor. Among all specialists actively offering their services on the market, development companies choose the following team members: 1. Universal specialists In the labor and services market, you can meet craftsmen who position themselves as highly qualified specialists who can solve any issues. As a rule, these people have extensive experience and knowledge in the matter under consideration. They can easily handle the development of a simple application. At the same time, when creating complex software, you will need deeper knowledge that generalists don’t possess. 2. Profile specialists These team members can be designers, programmers, content managers, or just engineers. They have the appropriate education and have extensive knowledge and experience in some competitive fields. They require the expert opinion, as well as full management of a specific part of the project, well-coordinated work in a team, and timely transfer of data and development results to related specialists. 3. Combined team Recruited to create the most complex applications or software. The team includes both generalists and specialized specialists. When developing an intellectual product, a horizontal control system is used. Each member of the team reports directly to the top management. When developing software, the worthwhile ideas of each employee are taken into account, and cross-checking is also provided. This project management technique is considered the most effective, as it allows you to minimize costs and achieve the expected results. Market experts and representatives of large IT companies recommend that when recruiting a team for a development team, ensure an approximately equal balance of generalists and specialized specialists. Moreover, each team must have either an official or an informal leader, who will be able to coordinate all tasks between other members of the collective. How to determine the optimal number of team members? There should be exactly enough team members to ensure the implementation of the project and the fulfillment of the technical task from the customer with the utmost accuracy, strictly on time. The following important factors influence the team size: The complexity of the task. The uniqueness of the development. Deadlines, defined by the customer and technical restrictions. The allocated budget for the implementation of the project by the investor. Provided resources to complete the task. In practice, to develop primitive software, no more than 2 – 4 people will be required. if it is necessary to implement a project of increased complexity, 7 or more team members may be required. What are the functions of team members? Most often, members of a pre-selected team perform the following roles in the development of a smart product: The key link is the investor or the customer of software development. It is he who provides information about what the final product should look like. Managing person – a team member who has experience in project management. He coordinates all specialists, combines ideas, draws up calendar schedules, conducts meetings, and issues final or intermediate results to the customer. The software architect is the most important specialized or generalist specialist. It provides the primary implementation of the general idea in strict accordance with the terms of reference. Subsequently, such a person is an assistant to the head, and he is sent for verification, as well as the assembly of all the developments of the work of the entire team. Engineers and ordinary developers – there may be several such members in the team. They are responsible for product development and software uptime. Designers – the area of responsibility of these specialists includes the design of attractive templates for users, as well as interfaces. Their work is related to how the product will be perceived by the end consumer. The main task of the designer is to create an easy-to-use and attractive product that will attract the interest of as many users as possible. The controller is a quality control engineer or an audit specialist. It checks the operability of the product, the compliance of the developments with the technical task, and also ensures the elimination of errors, which helps to improve the quality of the software. Analyst – a person who works in a team as an expert. He owns the needs of the market, as well as the industry for which the application is being developed. The demand for the software depends on this person, as well as its competitiveness, in comparison with other similar programs. Regardless of the assigned functions, the main degree of responsibility of the leader is to maintain a healthy spirit and friendly relations in the team. All team members should periodically come together for an online or face-to-face briefing, share results and problems. Upon discovering the first difficulties, each of the developers must notify all other team members about this. A focus on results is the main key to success. Requirements for the team in software development To achieve positive results, each team member must obey the internal regulations and follow the following important rules: Communication is carried out only in real-time, without delay in responding to a question or a task. All issues should be put up for public discussion – the principle of business transparency. All team members must trust each other. Each team member performs only their function. The composition of the team remains unchanged until the completion of development. In the collegiate discussion of questions, all of them are reflected on the board. Despite the above principles and examples, there is no single formula for creating an effective team in practice. To create a team, it is recommended to contact experts or recruitment agencies, and if the company already has the personnel, it is recommended to select developers not only according to the criteria of knowledge and experience but also according to the principle of psychological compatibility. An effective result is achieved only with a healthy spirit in the team and a competent distribution of tasks. Read Also: The Benefits Of Custom Software Development Ecommerce Software Development Trends Industrial Automation Software Development Big data software development services

Ecommerce Software Development Trends

In the past year, eCommerce has expanded from being something that would guarantee convenience to become somewhat of a necessity. In fact, according to experts, it has been one of the major avenues that have kept the global economy going. When the pandemic hit and lockdowns ensued, policymakers quickly realized that Ecommerce could be a major way for enabling people to access resources. Even before the pandemic hit, Ecommerce commerce was growing at staggering double-digit growth rates. According to UNCTAD, global Ecommerce has hit 25 trillion in 2018! For businesses, this means an exciting new opportunity. You can either take your physical brick-and-mortar store online or you can simply start an eCommerce platform and become an aggregator. In this resource article, we are going to focus on the best Ecommerce software development trends for businesses. List of 5 Major Ecommerce Software Development Trends 1. The Rise of Ecommerce Platforms- Retail software development has benefitted from the emergence of easy and simple eCommerce platforms. You do not need to spend a ton of money to start your own venture. You can easily choose between great platforms like WooCommerce, Shopify, Joomla, and BigCommerce. This has made it easier for people with lower investments to get into business in a short time. 2. The Growth of PWAs to boost Ecommerce- Ecommerce is all about the app experience. The rise of smartphones and internet technologies have made it possible to create immersive shopping experiences in apps. However, just like the last point, small businesses cannot afford to break the bank in terms of custom app building. Enter PWAs or Progressive Web Apps. These mimic the website experience like an app. 3. Voice Search Influencing Ecommerce- Look around you. There is a huge proliferation in the number of smart devices we are using to communicate with the internet. From home assistants like Alexa to connected Car technology and Google Assist on our phones, we are speaking to search engines and allowing them to help us. Ecommerce web development should take into account the role of voice search. 4. Social Media and Omnichannel Ecommerce Sales- You would have heard your friends or relatives bragging about how they got a great lamp from Facebook’s Marketplace. In fact, for experts, this is the next logical step in the evolution of eCommerce. As a business that is looking to get into this field, you must focus on omnichannel eCommerce sales and marketing. This can open up entirely new avenues for sales. 5. The Impact of Augmented Reality on Ecommerce- Tech innovators and software developers are now looking at ways and means of creating as realistic an eCommerce buying experience as possible. This is why Augmented Reality or AR is going to become the next big thing in eCommerce software development. People want to see how they would look if they would be able to have a virtual try for the products they buy. The Ecommerce Software Development Support System: What is it? While the above technologies are some of the biggest trends in the eCommerce software development ecosystem, there is more that meets the eye. Every developer or entrepreneur who has started an Ecommerce venture knows one thing for sure- it is all about the experience. To support this, there are three major verticals that you need to take into consideration. In this section, we are going to list them down- The Cloud Support- When you are hosting an Ecommerce website you are handling tons of data and details that not only need lightning-fast processing speeds but also guarantee a safe and secure environment. This is where the Cloud becomes important when it comes to creating a good user experience for the platform. Payment Solutions Providers- The growth of Ecommerce happened around the same time when the Fintech industry started booming. The better the payment solutions providers, the easier and comfortable will be the user experience. As a business, you will have to pick the ones that can benefit the business to the greatest possible extent. Mobile Commerce- Do you think that the Ecommerce industry would have taken off in the way it did if smartphones did not exist? Probably not. This is why mobile or M-commerce has become such an integral part of Ecommerce software development. Mobile responsiveness, experiences, and speed are what make a good platform great. The Bottom Line: There is a reason why the advent of new technology is taking Ecommerce software development to new heights. In this article, we have tried to look at some technologies that are redefining the Ecommerce ecosystem. We have also looked at technologies that are considered as the bare foundations that help in setting up an Ecommerce platform that is solid in terms of UI and UX. If you have any other questions that you want us to answer, drop them in the comments section below.

How do you choose an SEO-friendly theme for your website?

When it comes to giving your website a very attractive look and functions, themes play a unique role. Website templates let you design your site one way, which can help you to gain all the important elements in one place. The theme you are picking has a large impact on how your customers will interact with you over your website. Well, beauty and functions are not everything that you should consider about a site's theme. You must have a look at its SEO aspects which will help your website to gain a better performance potential. Hence it is advisable to pick a theme that is SEO friendly from the very beginning. So what are the factors that you must consider while picking an SEO-friendly theme? Have a look. Speed potential: Speed is the first thing that you must have a look at while picking a theme. Google mostly prioritizes those themes which have better loading speed. In case your website loading speed is slow, then it can impact your website traffic. A theme that is heavier with plenty of elements can slow down your website. In turn, it will affect your overall site's performance and ranking. Thus, while choosing an SEO-friendly theme, you must check out its size. Go for an optimized theme with better load speed to improve your ranking performance. Get your services from SEO New York who is an expert in getting you the best kind of themes. Plugin Compatibility Plugin compatibility is one of the essential parts of any website. They add better functionality to your site and, at the same time, reduce your coding effort. Even though installing too many plugins can slow down your site, using a good theme can reduce that pain point. Before you select a theme, make sure it supports all the popular plugins. It is better to check all the documentation and features of the theme before you purchase. Compatibility over browsers The more your website becomes browser-friendly, the more it will get accepted by a large audience base. Hence you must consider whether the theme you have picked is browser friendly or not. Your website must be visible and attractive from every browser. In case a particular browser does not support the theme code of your website, then it might not load properly, which will make the design appear in a skewed form. Hence, it had to be cross-browser compatible. Mobile friendly It is needed not to say how compatible mobile devices are when it comes to offering a searching benefit on the move. Since billions of people rely upon mobile devices to browse important things, you must design your website to become suitable for it. It is better to go for a theme that is highly mobile responsive that will benefit your SEO. Responsiveness Responsiveness is something that every user demands from a site that they are browsing. The responsiveness of a website is highly dependent on a theme. Apart from the desktops, the website must be able to get accessed from a varied range of devices. To offer a seamless experience to your customer, you must look at the responsiveness of a theme that will not at all hamper the performance of your website. Consider Reading: Small Business SEO Website Design Tips Clean code A website is made of plenty of codes. In case your codes are quite poorly written, then it can highly affect the security and speed. Also, it will affect your resources. Hence the same is also applicable for your WordPress themes. A good theme that you can choose must include a clean code that can make your website SEO highly secure and reliable. Also, it will offer less downtime. A theme with clean code will boost your page loading speed, and at the same time, it will boost up your SEO ranking. Customer-friendly navigation A theme must have a unique kind of navigation ease that can guide your visitors quite easily on your site. View all of your details on your template navigation so that you can give your users a unique experience. The proper amount of CTA buttons, quick hamburger menus, site map, etc., can give your site a unique look and great kind of performance. At the same time, it will help the site crawlers to understand your page better and index it faster. Conclusion It is always better to go with the themes which have a higher potential to offer you the ultimate of performance accuracy. Thus you should go for a theme that uniquely delivers all the above-mentioned features to leverage the SEO of your site. Read Also: Best SEO Practices Melbourne Businesses Should Follow SEO Agencies Are the Experts at Improving Your Website Content The Top SEO Tools for 2021

How Have Python Made Machine Learning Convenient?

How Have Python Made Machine Learning Convenient?

Ease of Understanding:

Vast Libraries:

Better quality output:

Extensive Support:

Flexibility:

Name and Fame:

Higher Career Opportunities:

Fewer Trials and Tribulations:

Cost Saving:

Dynamic Support:

Platform That Is Quite Independent:

Statistical Modeling:

Data Set Maintenance:

No Learning Hassles:

Easy Transition in Research:

Customization Is Quite Convenient:

Highly Adaptable In Nature:

No Space Crunch:

Conclusion:

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