Must Have Features For Successful Fintech App Development

 

Fintech industry is continuously growing. Lots of new innovations are being introduced to meet the changing customer needs and expectations. Particularly in the COVID time, fintech apps are highly in-demand because people prefer to stay home and manage their banking and finance without going to banks. Hence if you’re thinking about investing in a highly potential domain, then Fintech apps are booming one. Also the need of banking and financial services will never go down and hence its shows a continuous growth and success of your business. Here we’ll see the must have features for successful fintech app development. But before digging into it, let us know the reasons to invest in a Fintech app.

Reasons To Invest In Fintech App Development-

Fintech app development

1. Need For Lower Service Costs-

Fintech fundamentally decreases the servicing costs while delivering effective business outcomes and automates financial operations to make seamless functions. Fintech companies have the preliminary information and insights of customers that when they need assistance, they are probably to know about it in advance and have the activity plan ready, leading to well-organized services. As coordinated to banks, consumer facing fintech organizations are simply seeing 1/100th of the complete acquisition costs and have a low-friction landing.

2. Today, Mobile Is Your Wallet-

Fintech companies are at the front position of transformation towards a wallet-less economy. They have delivered technologies that have made payments more comfortable and offer improved experiences, which is the thing that development is made or intended to execute.

3. Importance Of Data-

Fintech companies collects huge amounts of data sets on customer behavior. Using this data they analyze and automatically identify forecasted purchases. It predicts actions on mortgages, vehicle or business loans concerning prior experience and behavior.

4. Importance Of Financial Data Security-

Banks and financial organizations are facing lots of challenges to protect customer data from intruders. So, they are investing in fintech to eradicate their weakness to financial losses due to cyber-attacks.

Must Have Features For Fintech App Development–

1. Voice Assistants-

It makes a new trend in mobile banking- voice banking. Voice banking will give a great user experience in the future. With virtual assistants, Erica is helping lots of users, the voice assistant makes a revolution in banking and financial app development. New trends can allow app to send voice alerts at the time of fraud. Also, they can support in bill payments. Optimizing apps with a voice user interface for sound driven search will increase the customer insights, engagement and leads.

2. Authentication-

Security of users data is a key responsibility for a fintech startup. Most of the fintech apps uses character-based password to protect against security breach. It is difficult to crack users’ password. Instead of character-based password, consider different methods to enable users with a fintech app with high-security standards. 

Biometric authentication- It can replace your text-based password protection technique. Touch Id comes under the category of emerging technology, it can be considered as a table-stakes for any fintech application. You can use this technology for password and user field too. 

Multi-factor authentication- For advanced security of financial data of users, you can apply multi-factor authentication methods for techniques. This verifies the user attempting to log in with the app is the account owner only and not a fake. 

Password less authentication- It is another method of user authentication which is gaining popularity because of its security and usability. Here, users get a secure and short lived link through push notification, text message or email. As it is a short-lived link, users have to click on this link to login to the application before it expires. It reduces the chances of fraud and instead of selecting anyone authentication method, it is suggested to use methods to improve the security level of fintech app.

3. Artificial Intelligence-

It helps businesses to automate business processes, increase sales, leverage predictive analysis, improve customer experience and detect frauds. Artificial intelligence allows you to use advanced technologies like- 

Machine learning- To take an advantage of predictive analysis by analyzing customers’ investment and spending behavior with targeted users. 

Chatbot- It offers better customer experience to the users by addressing their challenges or queries effectively and quickly.

RPA(Robotic Process Automation)- It can be used to automate and streamline different financial operations for professionals to improve productivity. Near about all fintech apps run complex algorithm processes to analyze saving and spending patterns of customers. Using AI for fintech apps, you can deliver intelligent banking services to customers. Also you can improve operational efficiency and accuracy of team by the use of AI. It lets you to free up your teams from performing same tasks and using their time on creative activities. All this improves the productivity of internal resources also.

4. Big Data –

Customer data is a key for financial operations, improving security with modern insights can build customer trusts towards your business. Big data helps to analyze customer behavior and market trends. Large amount od data can be analyzed to reveal trends, relationships and patterns hence the key factor shouldn’t be missed in fintech app development. Also, it will help you to detect risks and defend your customers.

5. API Platform-

API offers more options to the customers to interact with bank a nd finance service. Open Platform of banking joined an open API and has changed the banking ecosystem. Api is making innovation and improving customer experience in services, products, delivery channels etc. 

6. Instant Payment-

Rapid payment is the main goal of finance apps. While other applications are contending towards increased time spent on their application, financial applications should focus on users’ experience instead of consideration. Users always need simplicity in the process of transaction, hence the best fintech app should be easy to use. Instant payment platform offer a chance to achieve the highest transaction speed and improve customer satisfaction. Almost all the transactions will be digital- only as such payments will become more user friendly.

7. Blockchain-

Blockchain is the mainstream of digital money. It gives extreme transparency to the users by performing instant payments. Users can record, analyse and validate every transaction with a transaction record. By using blockchain technology for fintech app, you can reduce transaction fee for local and international payments and also increase P2P payments. It saves time and money for everyone involved in transactions. Blockchain improves the effectiveness of financial ecosystem. Technology offers lots of benefits like fast and secure data sharing across different platforms with interfaces like banks, insurance companies, and financial institutions.   

Final Words-

Ease of use, security and rapid access are some of the main reasons because of which fintech apps are gaining popularity. Developing a secured fintech app is a priority for development companies. Apart from security the above factors drive your fintech app to success. If you’re thinking to develop a fintech app, the above key factors will help you to develop a successful app. Consult with Solace experts and get a free quotes for an effective fintech app development. You can hire dedicated php developers, android developers, ios developers for a secured and effective fintech app development. We will be happy to help you.

Top 7 Javascript TreeGrid Libraries/Widgets In 2021

 

We all know that Javascript is a high-level, dynamic and untyped programming language. Basically it creates an interactive and phenomenal impact on web browsers. Web app development is easy with Javascript and HTML tables, Javascript components are becoming instinctive string between customer and end-user. HTML tables with lots of data can be controlled with the help of libraries. One of such popular and convenient approach is the Javascript tree component that makes data rich apps. It is a way to deal with data that gives various advantages to end client. And hence UI trees give an opportunity to show huge amounts of data in a compact way. It also shows the inadequacy to work with large trees. The data from such trees don’t fit in the recognizable area of interfaces. 

TreeTable component appeared as a reasonable response to the complexity of work with UI Trees. Whereas, TreeTable is a great DataGrid that allows convenient data presentation in an even structure. Also, it plays out a tree-like, various leveled gathering of even data like Tree widget. Don’t get confused about the TreeTable component with features similar to DataGrid Rows and Columns grouping. Some of the SpreadSheet JS widgets may have various hierarchical data gathering widgets but TreeTable is a modern and complex solution as it bunches an entire array of information.

Here we will see the details of 7 best TreeGrid libraries to use in 2021. But before digging into TreeTable libraries let us see what is TreeGrid?

What Is TreeGrid?

It is a method of arranging table data as a rundown of hierarchical tables. TreeGrid enables developers to make tree-like lists where entire tables are used as “branches”. Let us see the features of TreeGrid. 

Features Of TreeGrid-

1. End-to-end Sorting- 

Table things can be arranged with a single snap on the header of a segment. You can use the sort work for explicit sorting conduct.

2. Editable-

TreeTable has a full scope of grid manipulation. You can modify its component by composing the new value in the data field or choosing among drop-down list that can be provided with checkboxes for better convenience.

3. Selection Mode-

Due to TreeGrid, you can choose data in one of the accessible modes: cell, line,segment, multi section, multi-cell, multi-line, square or zone determination mode.

4. Data Export-

This Javascript TreeTable component allows trading data to PNG, PDF and Excel documents for extra preparation. You can also characterize the appearance of subsequent table by including various export options. 

5. Clip-board-

Clipboard support lets you to reorder things inside the TreeTable component and paste data to other components. This element works in modes like- ‘choice’, ‘square’ and rehash.

6. Filtering- 

TreeTable supports customer side filtering. You can also use built-in or custom filters. According to the data,you can use one of the channels for required section: date filter, number filter, rich select filter, multi combo filter, etc.

Top 7 Treegrid Libraries And Widgets-

1. jQuery TreeTable-

It is a module for the jQuery Javascript library. This shows the tree as an HTML table. Widgets lets you to create a couple of segments to show some data other than tree where tree depth does not have any limit. jQuery JS library is light and quick that rearranges the web development process. It includes simple to use APIs that different programs support. Some of its great features are- Sorting, Filtering, Paging, Data export, row editing and validation, row details, columns resizing, column hierarchy,  Cells formatting, custom cells rendering, keyboard navigation etc.

2. Webix TreeTable Widget-

It is a most professional and functional widget based on Webix DataGrid widget and having the highest performance web control. Some of the great features of Webix TreeTable are, clipboard support, advanced data filters, embedded chart lines(SparkLines), rowspan, colspan and grid grouping. This widget improves ability to change the width of all fields, create vertical headers and throughout elaboration of drag-n-drop individually for rows and columns. 

3. Treegrid-

It is a DHTML component which allows you to display and edit data in grid, table, grid tree, tree view or histogram on an HTML page. It is a rapid AJAX grid with lots of advanced features like advanced formulas and cell calculations. TreeGrid component allows you to load data in XML & JSON formats. This widget is available under the basic, standard, personal and Grand licenses.

Some of the great features of Treegrid are- Creating gantt charts, pivot tables, update and display custom Javascript objects and external objects like Adobe Flash, Microsoft silverlight, different editing masks, bulk cell changes, calender component, exporting to MS excel or other spreadsheets which handle XLSX, XLS, CSV or HTML table files, localization to any languages etc.

4. Sencha TreeGrid Widget-

It has Javascript structure which gives different instant UI parts to create high-load, cross-stage web apps. Important component of this javascript Treegrid library is its great TreeGrid widget. Some of the great features of Sencha TreeGrid widgets are- keyboard navigation, numerous headers, sorting, bifurcating, preloading hubs with single AJAX demand, rearranging/resizing header, custom symbols and so on. 

5. Syncfusion TreeGrid Widget-

It provides 1600+ components and a framework for mobile, web and desktop development. With various customization choices, you can deliver ideal client experience while saving money and time. It is an element rich segment to show data in a plain arrangement. Its broad scope of functionalities includes, editing, data binding, excel-like filtering, custom sorting, row aggregation, selection, excel support, CSV and PDF formats.

6. DHTMLX TreeGrid Component​-

It is an extension of the dhtmlxGrid component which complements the functionality of powerful data grid with competent XML parsing, extensible strings, pagination support and elegant rendering. Because of based on AJAX, Treegrid javascript component with dynamic loading can display unlimited rows and processing huge data on the fly. Also, it provides end-users with convenient built-in editing, advanced row and column dragging, split mode, posts sorting and coloring, and some mathematical functions. DHTMLX TreeGrid can be easily styled by using CSS and built-in skins. 

7. Ignite UI Tree Grid-

igTreeGrid library provides hierarchical data by combining principles of tabular and tree data into a single control. It inherits the igGrid control and hence enjoys lots of features and functionality like igGrid. Also some features contrast in function and implementation to best suit the needs of hierarchical data.

For adaptability and flexibility, the treegrid has expansion indicator, which can be delivered inline in main data section or  in the independent segment. Expansion indicator can be modified with an alternate look and feel to accomplish custom visualizations.

Final Words-

Purpose of TreeGrid Javascript libraries is to bring the concept of tree and table function together in a single widget. Here we’ve seen top 7 Javascript TreeGrid libraries to use in 2021. Also, on the basis of functionalities, the Webix JS and DXTMLX libraries are important open-source treeGrid libraries that help structure the tree into an editable grid and hence, easy to work with huge amount of data.

If you are confused about choosing the TreeGrid library, consult with solace experts. We are here to help you through consultation and development. You can also hire javascript developers of Solace team for an effective Javascript development. Connect with Solace and get a free quote for software development with javascript. We will be happy to help you.

Most Common UX Design Challenges And Their Solutions To Know in 2021

 

Design is one of the most important factor in web and mobile app development as it drives the user’s positive first impression. Day by day, as technology grows the competition for user attention also increases. Visual appearance and ease of use are the important factors to increase the visitor engagement with digital products. User experience is not just an essential attribute of a website but the most important factor for making a purchase. As per the report, with improves user experience 33% businesses encounter more satisfied consumers, 42% report increased retention, and 32% experienced an increase in revenue. But sometimes, there can be UX design challenges and designers are effortlessly working on solving the puzzle of cracking UX code. Here we’ve curated some of the common ux design challenges and their solution to help you throughout your design journey. Let’s see each one in detail.

Most Common UX Design Challenges And Their Solutions-

1. Bridging The Gap Between Design And Development-

Developers and designers both are equally important in product development process. Without development design is useless and without design, development is unusable. Design to development handoff can be challenging. As a UX designer, your problem solving approach is different to that of developers. While you’re considering the user and the journey they will take through the product, the developers are worried about what’s technically feasible.

If designers and developers aren’t aligned, both product and process affects badly. Lack of knowledge and communication gap tend to be issues, like excessive feedback loops, different interpretations of the same objectives and unexpected quality assurance issues. Here’s the solution for this-

Solution-

Best way to avoid conflict between development and design is to communicate early and consistently. Include developers also so that they can identify potential issues in an early stage before the handoff. Knowledge sharing is also important. When you don’t know the coding, it is helpful to understand how the developers work and the challenges they face. Zeplin, Invision and Avocode are some tools that eases the handoff process.

2. Budget And Time Restrictions-

Time and budget are two main factors which impacts on design and entire development cycle. If the designer is underpaid or offered less time, he/she won’t work satisfactory. As everything is connected to good design and color layers also possess different purposes. So designers need more time and extra cost to introduce a small change.

Solution-

In such a case, business analyst and project managers can help. They can negotiate terms and conditions for UX designers who then can freely give a good performance in allotted time.

3. Android Fragmentation-

These days, lots of android devices are running on different android OS versions. Each smartphone manufacturer want to make its android OS version different. Smartphones have different display resolutions and some details that changes from one smartphone to another. Android app designing and development is a little bit more difficult than ios devices.

Solution-

To deal with it, follow google’s instructions and focus on latest updates and the most popular Android mobile models. Android designs takes more time for completion. Also in some cases, it enables designers to make design preferences not possible to do on the iOS platform.

4. Complex Chatbots-

Since a few years, the use of chatbots has tremendously increased as they improve conversions and solve client service problems. According to they survey, 73% of clients who have experienced defective chatbot won’t use them further and 61% of customers found them more annoying to handle and would rather prefer a human executive. If the chatbots are not enough smart or capable to fix the client issues, they can cause annoyance, wrong answers or conflict messages. And this can harm the overall user experience.

Solution-

Chatbots should be focused on conversational UX, rather than just trying to fix a problem quickly or providing a smart response. Also, this should be possible by including smarter AI systems that use machine learning to get emotional intelligence and communication signals. This technology virtually helps chatbots to learn responses that are beneficial for different situations so that they can improve with each interaction.

You can also know the details of creating engaging chatbots for business at- How to create engaging chatbots for Your Business?

5. Gathering Marketing Data Without Interruption-

Sales and marketing teams requires all type of customer data for campaigns and strategies. But sometimes, their data collection methods are intrusive or questionable to the user. User data collection is necessary for providing personalization and relevant content to customers, but it should be done in such a way that it won’t disturb the experience or risk the valuable data. 

Solution-

Rather than getting user data through opt-in forms or using cookies and monitoring systems, designers should opt for engaging and subtle collection methods. With the use of interactive content like polls, puzzles are an easy way to get valuable data. Interactive web pages can get 500% higher engagement rates than static pages, that means designers can improve data collection and user experience through unobtrusive ways.

6. A/B Testing Inaccuracies-

While A/B testing is mostly designers’ strategy to compare ideas and designs, it is limited and woefully inaccurate. According to the reports, 80% A/B tests deliver inaccurate results. Since numerous systems can just analyze two variants all at once, there may not always be a clear winner  between the subjects. Also, there is always a better way that neither of these options is  best, and it could take months prior enough A/B testing combinations are run to search for the best one that should be implemented.

Solution-

AI and machine learning can make it much easier and more precise. Traditional A/B testing can compare just two elements at a time. AI systems can analyze huge amounts of data quickly, these tools can compare thousands of variants simultaneously and report results rapidly. For instance, online shopping stores used AI to run design tests for a website revamp. It can test several hundred changes within just three weeks, and their redesign resulted in 38% rise in conversion.

7. Product Showcasing-

While selling products online, biggest drawback is that you never know what you are getting until it shows up. With the several online sales options, brands should always try to build confidence and communicate why customers must use their products. Only depending on product images and ratings from previous customers may not sufficient, especially since all retailers use these strategies.

Solution-

Online retailers have started using virtual and augmented reality tools to create 3D model of products for virtual shopping experience. This is one of the best solution because, customers can see exactly how sofa will look like in the living room by just using their smartphone. This type of product display brings the best demo to online shopping. According to the recent reports, 40% would be willing to pay more on a product if they could test it with VR and 71% of shoppers would buy more from a business that offers this feature.

8. Navigating The Ever-Changing Landscape Of UX Job Titles-

Another challenge is never ending list of UX job titles. UX design is a broad field and over the time, the UX designers role has branched off into many different areas of specialization. Organizations hire specialists to focus on certain aspects of UX like information architects, UX researchers, UX writers and usability analysts. When you think about the UX designer job title, there are some terms that may confuse you. One of them is full-stack designer. Hence, positioning in this industry can be tricky for you. First of all, there’s a question whether to specialize or generalize, yet this isn’t something you need to choose immediately. After that, there is a challenge of inconsistent labels, titles about the UX job market.

Solution-

If you’re deciding on your next career move, it will be better to stay updated with the ever-changing landscape. Know the details behind the job roles. For instance, if you are looking for an user experience designer role in US, you’ll see positions like user experience researcher, product owner and brand designer. 

Know the – Top 11 UX Design Mistakes In App Development

Final Words-

As technology changes every day, expectation of customers for UX design also changes and hence  each day comes with a set of challenges for UI/UX designers. Hence knowing the above UX design challenges and its solutions will help you to boost user experience. If you’re thinking to develop a website or app with a great UX design, consult with solace experts. We here to help you through consultation and development. You can hire skilled php developers, android developers, ios developers for best web or app design and development with great UX design that will help you to grow your business to the next level. Connect with Solace and get a free quote for web or app design and development. We will be happy to help you.

Top 7 Cross Platform Mobile App Development Tools

 

These days businesses from various industries use apps for seamless management, reach more customers and deliver the best service to their customers. So it is important that such applications run seamlessly on multiple platforms like iOS, Android and Windows. Using the cross platform mobile development approach, one can create such solutions quickly and cost effectively. There are lots of cross platform app development tools to build a good app. But if you want to build a successful app, you should choose the best tool by considering certain factors. There are four main factors that should influence your decision.

• Speed Considerations
• Feature Support
• Framework Risk
• Development Cost

Let’s see details of  top 7 cross platform mobile development tools.

Top 7 Cross Platform Mobile App Development Tools-

1. Xamarin-

It is a leading free, open-source platform for building hybrid mobile apps. This popular microsoft cross platform mobile app framework relies on C# programming language complemented with .NET framework and is available under the MIT license as a part of Visual Studio. Its development toolset includes the following components:

• Xamarin SDKs
• Xamarin Studio/Visual Studio (its own IDE)
• Xamarin Test Cloud
• Xamarin.Mac to build native Mac apps

Xamarin allows you to build apps for various platforms like iOS, Android and Windows by using a single .net code. One of the best thing about Xamarin is, all apps built on it look and feel like native apps and hence it uses the native interfaces that work the same way a user wants to use them. With the use of Xamarin, you can give your app a platform-specific hardware boost so as to achieve performance like native apps.

Xamarin works on both Mac and PC systems and offers you tools such as debugging, UI design tools, and code editing.

2. Flutter-

It was created by Google and was initially released in May 2017. Flutter is a software development kit that allows you to build high-performance apps on various platforms like Web, desktop, android and iOS from a single codebase. Flutter makes use of Dart programming language which is easy to understand for Java or JavaScript developers. If you’re thinking to develop a custom app for android and ios platforms then Flutter will be the best platform for you. Popular apps like Google Ads, Alibaba used flutter for development.

One of the best feature of Flutter is, it supports widgets and hence it helps to enhance the app look.

You can know the reasons of – Why choose Flutter for cross platform app development?

3. Sencha-

Sencha is a leader in enterprise-grade application development because it helps teams to focus on app development, instead of constructing a framework. It is based on modern web technologies like ES6, HTML5, Javascript and CSS, so that developers can build data-intensive cross-platform mobile apps. One of the biggest reasons why developers like Sencha is, it works well with different devices and platforms. It has a set of tools and themes that improves productivity and facilitates optimization, deployment, design, theming and debugging.

Using sencha, you can easily work with multiple team members no matter where you are. It also offers lots of pre-built elements that saves lots of time in coding. Sencha has great testing tools. The testing features are specifically meant for apps built using Ext JS, so you’ll get the accurate results from tests. Accurate testing ensures quality product and reduces the time and costs associated with testing from other resources. Also you’ll have access to design tools. You can create reusable themes without need to write any code.

4. PhoneGap-

PhoneGap is a open-source mobile application development framework popular for hybrid solutions because of its ease of use. It allows apps to be written in JavaScript, CSS3 and HTML5. Phonegap provides native plugins and containers for each mobile platform so that developers can create more features and access device functionality like camera, accelerometer, compass, file system and so on. All of the software development kits are maintained by PhoneGap, hence you don’t need to worry about handling that. Using phonegap, when you finish the app development, you can easily share it with other team members. And this feature helps you to collaborate with others hence you can continuously make improvements for your app. 

Phonegap allows you to lower your development time. Hydration feature of Phonegap allows faster build cycles and debugging.  This will get updates pushed to users who have tested your app to ensure that everyone works on the latest version.

5. Titanium-

Know more at- https://solaceinfotech.com/blog/top-7-cross-platform-mobile-app-development-tools/

Top 7 Agile Frameworks For Best Software Development

 

Agile software development is a software development methodology which focuses on an iterative process, where cross-functional teams collaborate to produce better solutions. Agile frameworks are unique techniques or methods in the development following agile principles. There are various popular agile frameworks having their own features and best practices. Different businesses use them according to their specific needs. While you are choosing the agile framework, you must know the list of agile frameworks with its features. Hence here we came with the top 7 agile frameworks to help you choose the best one. Let us see each one in detail.

Top 7 Agile Frameworks-

1. Kanban-

It is a popular project management framework. Kanban focuses on workflow visualization and signifies work in progress (WIP), allowing it to efficiently adapt it to the team’s capacity. Kanban helps to manage the throughput of a process by identifying bottlenecks, setting ‘Work In Progress’ limits and showing the status of entire production system with single view. When a job is completed, the team will move on to the following file in the pipeline. It results in, implementation process allowing for more planning flexibility, quicker delivery, consistent priorities and accountability. Kanban has no standard approaches within a method and fixed repetitions like other frameworks. Even a small bug can be fixed by the framework immediately. The framework works fine even after the release of a developed product.

Features-

• This framework visualizes the workflow using Kanban Board. Generally, whiteboards or sticky notes represent the board.
• There is a card for each work in Kanban, hence each team member can see who is accountable for which work and when he/she is supposed to complete his/her work.
• Team members can ease the communication by attaching screenshots or documents, leave comments or provide links.
• Teams can trace colleague’s works and help them in finding problems. 

2. Extreme Programming-

This agile methodology was created especially for software development projects. It focuses on client delivery, continuous development and employs intervals or spirits and was previously developed to manage the cost of new conditions and develop good innovation practices to improve software performance. Also, it stresses the same principles that are expressed in Scrum and Agile Manifesto. Extreme programming introduced many groundbreaking regulations to software development that are now common. Let us see the key features of extreme programming.

Features-

• Continuous integration enables developers to contribute new codes to the project multiple times a day. 
• Test driven development (TDD) is an engineering methodology that accelerates the software design process using automated unit tests. It has a test-first approach different than other frameworks.
• This framework tests in a way that mistakes in the code are easily captured. Also every software component receives feedback that improves the final product quality.
• XP has a feature as Pair Programming where two programmers work together. One of them writes code while the other observes, hence increases the overall efficiency.

3. Scrum-

It is one of the leading Agile techniques developed in 1990 and more than 50% of the projects use this methodology. Scrum takes an iterative project management approach, like other agile models. The techniques of scrum suggests dividing a project into sprints where each sprint generally takes one to four weeks. Sprints conclude with the execution of feasible version or draft of project’s final product. Also the framework has short iterations that allows team to deliver a working version of ultimate result.

Features-

• The framework uses some agile engineering methods ensuring maximum productivity out of the development team.
• Sprint is an exclusive feature of scrum where each sprint has definite deadline.
• Scrum method focuses on the products quality that results in less mistakes.

You can also know- How to write an effective user stories “AGILE” “SCRUM”?

4. Crystal-

It refers to the agile methodologies like Crystal Orange, Crystal clear, crystal red, crystal yellow etc. Every crystal approach has its own structure, and various factors including size of team, project goals and project robustness. One of the important thing to keep in mind is that different projects necessitate slightly different strategies, procedures and methods on their particular characteristics. Let us see its key features.

Features-

• It allows teams to operate in any way they see fit.
• Allows direct group interaction, transparency and governance.
• Teams can react immediately to changing conditions because of adaptive approach
• It is one of he flexible agile frameworks.

Know more at- 

https://solaceinfotech.com/blog/top-7-agile-frameworks-for-best-software-development/

How To Speed Up The Python Code?

 

We all know that Python is one of the most popular programming all over the world. These days, it is being used in competitive programming because of its simple syntax and rich libraries. You can almost do anything with Python from data science, machine learning, signal processing to  data visualization. But many people claim that python is a bit slow while solving grave problems. Time to execute a program depends on the code that you write. Knowing some tips to optimize the code will help you to speed up the python code. Let’s see the top 10 tips to speed up python code.

Top 10 Tips To Speed Up Python Code –

1. Use Proper Data Structure-

Use of proper data structures has significant effect on runtime. Python includes tuple, list, set and directory as built-in data structures. Most of the people use the list in all cases, but it is not a good choice. Basically use of proper data structures depends on your task. You can use tuple instead of list, because iterating over tuple is easier than iterating over a list.

2. Use Built In Functions And Libraries-

Python includes lots of library functions and modules written by expert developers and have been tested thoroughly. Hence, these functions are efficient and able to speed up the code-no need to write the code if the function is already available in the library. Let us see a simple example-

#code1
newlist = []
for word in oldlist:
    newlist.append(word.upper())

#code2
newlist = map(str.upper, oldlist)

The second code is faster than the first code because library function map() has been used. These functions are easy to use for beginners too. 

3. Do Not Use Global Variables-

Python has global keyword to declare global variables. Global variable takes higher time during operation than local variable. Using few of them save form unnecessary memory usage. Also, Python scoops up a local variable more rapidly than a global one. While navigating external variables, Python is genuinely slow. A few other programming languages oppose the unplanned use of global variables. The counter is because of side effects like higher runtime. Hence, try to use a local variable rather than a global one whatever possible. Also, you can make a local copy before use it in a loop, saving time.

4. Try To Minimize The Use Of For Loop-

It is hard to  avoid the use of for loop. But whenever you can avoid it, do so. For loop is dynamic in Python and its runtime is more than a while loop. Nested for loop is more time consuming, two nested loops will take the square of the time in a single for loop.

code1
for i in big_it:
    m = re.search(r'\d{2}-\d{2}-\d{4}', i)
    if m:
        …

date_regex = re.compile(r'\d{2}-\d{2}-\d{4}')

for i in big_it:
    m = date_regex.search(i)
    if m:
        ...

In such cases, it will be better to use a suitable replacement. Also, if for loops are inevitable, move the calculation outside the loop. It will save more time. We can see it in example as given. Here the second code is faster than first code since the calculation has been done outside the loop. 

5.Use List Comprehension-

List comprehension offers a shorter syntax. It is handful when another list is made based on an existing list. Loop is important in any code. Sometimes the syntax in a loop becomes large. In such cases, you can use list comprehension.

L = []
for i in range (1, 1000):
    if i%3 == 0:
        L.append (i)

Using list comprehension, it would be:

L = [i for i in range (1, 1000) if i%3 == 0]

Here, the second code requires less time than the first code. Approach to list comprehension is short and more precise. Mostly there is not more difference in small codes. But in an extensive development, it can save time. 

6. Do Not Use Dot Operation-

Try to avoid dot operation. To know it in detail, let us see the below program-

import math
val = math.sqrt(60)

Rather than writing a code like this, write code like below-

from math import sqrt
val = sqrt(60)

This is because when you call a function with . (dot), it first calls   __getattribute()__ or __getattr()__ which then uses dictionary operation that takes time. Hence try to use from module import function.

7. Make Use Of Generators-

In python, generator is a function that returns an iterator when keyword yield is called. Generators optimize memory. At a time they return single item rather than all at a time. If your list includes lots of data and you need to use one data at a time, use generators. Generators compute data in pieces, so function can return a result when called upon and retain its state. Generators stores the function state by stopping code after the caller generates the value, and it continues to run from where it is stopped. As the generators access and compute the on-demand value, a significant part of data does not need to be saved completely in memory. This results in memory savings, and speeding up the code.

8. Concatenate Strings With Join-

Concatenation is common when you work with strings. Mostly, in python, we concatenate with ‘+’. In every step, the “+” operation creates a new string and copies old material. It takes more time and hence is inefficient. To speed up Python code, you have to use join() to concatenate strings strings.

code1
x = "My" + "name" + "is" + "john" 
print(x)

code2
x = " ".join(["My", "name", "is", "john"])
print(x)

Here, the first code prints “Mynameisjohn” and second code prints “My name is john”. The join() operation is more faster and efficient than ‘+’. It also keeps the code clean. So if you want a cleaner and faster code, start using join() rather than ‘+’ to concatenate strings. 

9. Use The Latest Release Of Python-

Python is updated and upgraded regularly, and every release is faster and more optimized. Hence use the latest version of python. 

10. Replace range() with xrange()-

Note that this is applicable for python 2 users.

These functions are used to iterate anything in for loop. In case of range(), it saves all the numbers in the range in memory. But xrange() just saves the range of numbers that should be displayed. Return type of range() is a list, and that of xrange() is an object. As xrange() takes less memory, it takes less time. Hence use xrange() rather than range() whenever possible. 

You can know top 7 Python GUI frameworks at- Top 7 Python GUI Frameworks In 2020

Wrap Up-

The value of python is increasing day by day and these are some of the tips that reduce the runtime of python code. There can be few others too.