What are the Software Testing Automation Trends To Look For In 2020?

Automation is bringing changes in many fields and Software testing is no exception for that. The automation using technologies like Artificial intelligence, machine learning, Natural Language processing has been helping the industry for some time and the industries are very interested to implement automation across all the processes they follow.

Incorporating machine learning and artificial intelligence into testing will bring help in optimizing QA, easily identifying the high-risk points of an application, optimizing test suites, predicting test configurations, and many other things. Test automation also involves the automatic verification of different codes and processes.

This greatly reduces manual efforts and also saves a great amount of time and money in the long run. This “Hyperly” active automation itself is a trend that is being referred to as “Hyper Automation”.

The Software testing classes  provided by our institute will make sure that you understand all the important core concepts of testing along with the specific knowledge of new trends so that you can take advantage of them.

Let us understand the different automation trends in software testing field:

IOT test automation

As you know, the Internet Of Things is the system of computing devices, mechanical and other things that communicate over the network with no human-human or human-computer interaction. While it is true that IoT considerably improves the lives of the users, IT also increases the risk and the damage of any small malfunctioning which can cause a great deal of damage that also could be fatal.

This places a lot of responsibility not only on developers but also on testers. Thus, QA and automated testing of the IoT systems will be a major area of focus in 2020 and beyond. Our software testing training in pune will provide IoT specific testing classes for the people who are interested.

Distributed Cloud

As we know, cloud computing is becoming a trend in itself and also increasing the ease of how testing is done. Multiple commercial testing tools like sauce labs, test complete, etc offer to store the automated test cases on the cloud so that they can become a complete package for testing. While there might be a problem with the performance of the test execution because of the cloud being located in a far location, accessing the content from the nearest cloud rather than fixed location should improve the speed and efficiency of hosted test cases and the results obtained from executing them.

The democratization of testing:

While there might be multiple ways in which testing could be democratized, there are two ways in which trend in usage is increasing: one of them is crowd sourced testing and the other is user-friendly automation tools.

Crowd sourced testing is useful as the markets are now global and every product will be released in multiple countries and also to many different areas. So, the number of devices needed for testing is increasing which increases demands for crowd sourced testing.

User-friendly testing refers to the fact that automation in testing makes the testing doable and understandable for people even if they don’t have much knowledge. This makes it possible for team members other than testers including the developers, management and stakeholders to get involved in test automation as needed. Tools like script less testing tools are paving the way for this.

Not only them but there many other trends including the DevTestOps, increasing of security etc

Conclusion

The demand for producing higher quality products in shorter amounts of time have placed a huge responsibility on software testing and how it is done. The field should put good use of new technologies to increase its efficiency. Automation is one such technology that is increasingly being used in testing. Hyper automation including IoT test automation, the democratization of testing, testing with the help of distributed cloud and many others are expected to trend in 2020.

By joining our best software testing institute in pune with placement, you will get all the skills required tailored for the present trends of testing and also good job opportunities!

What are the Skills Required to Become a Data Scientist?

Data scientists are in huge demand at the enterprise level across all industries. It might be to refine the process of development of products, to improve customer retention or to find business opportunities, organizations increasingly rely on data scientists to sustain and also outdo their competitors. Many students are now interested in making DataScience their career.

But many of them are confused as to what to learn for Data science and where to start. We provide data science training with python in Pune which teaches all the essential skills you require starting a career in data science.

The prerequisites you need to learn for entering data science are fundamentals like linear Algebra, Data structures including hashing and also database basics. Learning Business intelligence and analytics also helps. A strong educational background should help to gain all the prerequisite skills required. Even though you had not learned, it is not the end of the road either!

Now we come to the main part of the skills required for Data Science.

1. Statistics

Statistics is crucial in the fundamental steps of Data Science as it provides many tools and techniques necessary for getting insights from data. The key concepts in statistics that you need to learn are the Description statistics meaning things like Mean, Median, Mode, etc and Other important concepts are related to Probability theory in which Bayes theorem, random variables are a must.

2. Programming languages

Expertise in programming languages is needed to implement the algorithms and work with them. Many languages like Java, C++, R, Python can be used for Data Science. But two of the most popular choices for data science is R and Python. While R is designed specifically for data science, python programming is a much more general language. We recommend Python programming language because of Python’s versatility and flexibility which enables it to be used efficiently and effectively in almost all the steps that are involved in the data science process. It can obtain data from various sources in various forms and also helps to visualize the data and apply machine learning algorithms on it which we will discuss later. Our Institute also provides data science with python training so that you will be able to leverage the power of python for data science.

3. Big data

Understanding the concept of Big data is very important as the data we study and analyze in Data Science is generally of large volumes that may exceed the memory of your system. You might also encounter a situation where you need to send a large amount of data to different servers, This is where technologies like Hadoop comes in. Apart from quickly conveying data to various points on a system, You can use it for many things like data exploration, filtration, sampling, and summarization.

Another big data technology that is becoming popular is the Apache spark. It is specifically designed science to help to run its algorithms faster and its fastness is an advantage over Hadoop. Apache spark also makes it possible for data scientists to prevent loss of data. So, based on your requirements, you might be required to know Hadoop or apache spark.

4. Data Visualization

Visualization is very important in data science Some things that are not directly understandable from arcane statistical data can be easily understood by a simple visualization. A Data Scientist needs to have good hands-on knowledge about visualization and there are many visualization techniques and tools available for you to do it.

5. Machine learning and Artificial Intelligence

Understanding machine learning concepts like supervised machine learning, decision trees, deep learning, etc will help you to solve various data science problems with greater efficiency. It also helps you stand out from other people as much percentage of data science professionals are not good at machine learning. Machine learning can deliver insights that a normal human sometimes cannot.

That covered only the technical skills you require. But as a data scientist, you also need to have a lot of other skills including good communication, the skill of working well in a team and others. By taking our best data science course in Pune with placement, you will get good knowledge in all the areas required and also job opportunities!

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What Are The Top 10 Python Programming interview questions to be asked in 2020?

Python is getting more popular these days and so does the job opportunities in Python. And thus the more students are enrolling for Python classes in Pune. Every Job interview will assess whether the candidate’s abilities and knowledge will be suitable for the requirements of the organization or not. So, if you had applied for a job involving Python, your knowledge of Python will surely be tested and thus you need to prepare well.

Our Python Training institute in Pune will make sure that you will get all the required knowledge and practice so that you can tackle the interviews well and land on a job. This is also a course with placements, which lessens the process of job searching for you. Here are some of the important questions that are generally asked around Python in an interview.

Q) What is the difference between List and Tuple in Python?

Ans)

• Lists are mutable while Tuples are immutable
• Lists are slow while Tuples are fast
• The Syntax for using List is list_name = [list_elements], The Syntax for using Tuple is tuple_name = (Tuple_elements)

Q) What is PEP 8?

Ans) PEP stands for Python Enhancement Proposal which is a set of coding standards and recommendations that aim to provide maximum readability to the code.

Q) What are Local and Global variables?

Ans) Variables that are declared within a function or in a local space is called Local Variable whereas the variables that are declared outside function or in global space is called Global Variable. Global variables are accessible by any function within the program but local variables are accessible only to the local function in which the variable is defined.

Q) What is __init__?

Ans) __init__ is a constructor for classes in Python. Similar to the constructors in C++ or Java,  they are called automatically when an object is created that is used to allocate memory. All classes will have __init__ method.

Q) What is a lambda function in Python?

Ans) Lambda functions are anonymous functions in Python. That is, their definition is not bound to an identifier They can have any number of parameters, but only one statement.

An example of its usage:

a = lambda x,y : x+y

print(a(10,3))

The output for the above code would be 13

Q) What are documentation strings in Python?

Ans) Python Documentation string or simply docstring is a way of documenting Python functions, classes and modules. They are declared using a set of three single or double-quotes. We need to use the __doc__ attribute to get the docstring of a function.

Q) How does Python manage memory?

Ans) All objects and data structures in Python are located in private heap space. The programmer will not be given access to it and only Python’s memory manager deals with the allocation in this space. Python also includes a garbage collector that recycles all the unused space.

As you can see, the interview question can range from basic theoretical concepts to advanced and also involves programs. Along with a strong emphasis on developing programs, Our Python classes in Pune will also make sure that you are strong in theoretical aspects as well.

Q) What is a namespace in Python?

Ans) Namespace is a naming system, that is used to avoid naming conflicts. There are three kinds of namespaces, built-in namespaces, global namespaces, and private namespaces.

Q) Write a Python Program to check if a sequence is a palindrome or not.

Ans) a= input(“Enter the sequence”)

        b=a[::-1]

        If a==b:

          print(“Palindrome”)

        Else:

          print(“Not a palindrome”)

Q) Write a Python Program to produce the pattern of a star triangle.

Ans)  def starpatrn(rows):

           for(x in range(rows)):

             print(‘ ‘ * (row-x-1)+’*’ * (2*x+1))

         starpatrn(10)

These are just a small portion of what might be asked in an interview. On the basis of job requirements, the interview questions could be general or aimed at a particular aspect. The key thing is to have knowledge and practice.

Looking for Python training in Pune? You need to consider many factors before joining an institute like the faculty teaching there, certification provided, etc. Joining our best python institute with placement in Pune will give you all the required skills along with good job opportunities.

How Long Does It Take To Learn Python & Become Expert? Which Is The Best Institute To Learn Python With Placement?

ThesePython training institutes in Pune are getting more than ever inquiries. Python is a simple and versatile language that can be used in many different application domains. The job prospects for the developers who are proficient in Python are great and so many people who want a career in computer science will seek to learn Python. With a lot of resources available online and also institutes offering courses for Python and also a lot of depth in the language itself, many people will get confused as to where to start, where to learn and how long does it take to learn python.
days, 

Our Python classes in Pune will take you through the language in a well-structured way so that you would understand the concepts clearly. But Ultimately, it can be said that the time of learning python will depend on your previous experience with programming languages along with the dedication you have to learn it and the amount of practice you do.

Let us categorize the learning approaches broadly into two: Self-learning and taking a structured course and analyze each of them.

Self-learning

Here you learn with the materials available online and from the books. Two things that you must do before you embark on self-learning is that you must understand what motivates you to learn python and exactly what you want to learn in python. Expertise in Python can be understood as being in three levels: Elementary Advanced and Professional Levels.

Elementary python includes basic things like syntax, keywords, conditional statements, loops, functions, classes, exception handling, etc. This may take around 6-8 weeks to get completely acquainted with an average programmer. If you already have a good experience of programming in other languages, achieving elementary knowledge would take far less time.

Things like Multithreading, synchronization techniques, network, database programming, etc would come under advanced level. The level of depth you would learn these concepts would depend on what you want to work and the time would depend on the learning capability.

The professional level of Python consists of knowledge of concepts like Data Analytics and the libraries required for specific applications like image processing and more. Again, depending on the depth you want to learn, it could take anywhere from 1 week to a month.

So much good self-learning might be, it isn’t without any disadvantages. One of the main disadvantages is that you would have limited direct contact with colleagues and the professors who teach you. Due to this the student sometimes may feel isolated.

Freedom and self-pacing can also be disadvantageous when it is poorly managed by students. If you are completely studying on your own, you need to constantly motivate yourself as no one will be reminding you of the completion of projects or any other milestones you have set. No material would be forced onto you and it is up to you to learn the material. The students who are studying with the help of a teacher since childhood might not be able to manage such freedom and this is the reason that they fail online classes.

Above are some disadvantages of learning Python by yourself. If you think any of the disadvantages might affect you, then it is best to learn the language in the institute. Our Python Training in Pune will let you learn up to a professional level in the required field of your choice.

Learning through an institute:

Learning through an institute where the material and the topics you learn are structured and tailored according to the needs of the industry. The institute will decide the content of what you learn and the best time period for learning that material completely.

Learning python from institutes would be an advantage for the people who cannot learn everything on their own and need assistance and guidance from experienced professionals. Students can also interact with their teachers directly and they can express their concerns easily. Our Python training with placement in Pune provides the best training with live project implementation.

The institutes will have placements cells, so getting good job opportunities will be easier. However, the students who are fast learners or the people who might not be able to go to institutes regularly might not be beneficial.

Our Python training institute in Pune will have all the advantages discussed above. By taking this best python course in Pune with placement, you can be assured that you will have the right training with good job opportunities.