Insights and Inspiration !!

DevOps is the combination of two terms Development and Operations. We can term it as group of process or activities that can integrate the Software Development and IT Operations in an automated way using several latest advanced tools. It will be more helpful to the fast growing IT organization that adopted Agile methodology that delivers the product to market in several chunks of pieces frequent to the market.

DevOps is also defined as combination of people, technology and process to deliver frequently to the end customers using the Continuous Integration (CI) and Continuous Deployment(CD) Approach.

Development Process:

• Plan
• Code
• Build
• Test

Deployment Process:

• Release
• Deploy
• Operate
• Monitor

How DevOps works?

DevOps use the approach of combining Development, Quality assurance, Security and IT Operation team activities to automated pipeline using technology and modern tools throughout the end to end to application development life cycle.

Traditional development and deployment process was very slow in release to market approach when the business or client is demanding frequent or dynamic change in new requirement or features. Due to this combination of development, security an Infra team process automated as single process it is referred as DevSecOps. Several tools on Infra, development and security used for achieving the automation to make adapt to Continuous integration agile environment.

Advantages of DevOps:

Delivery or Deployment Speed:

Continuous Integration and Continuous delivery term achieved using the CI-CD Pipelines help team to deploy the services or update of the software quickly using micro services. It helps customer for receiving the expected changes quickly to their product that serve their business operation to achieve business goals.

Real Time Reliability:

DevOps tools and modern techniques such as Monitoring with logs help us to ensure that the real-time performance not gets affected or impacted due to the quick delivery of features to the end users.

Repeatability:

DevOps helps the complex and frequently changing requirements gets implemented from development, testing and deployment through the concept of Infrastructure as service or code.

Collaboration along with Security:

Development and Infra or Operation activities are automated in pipeline using multi user collaboration and versioning control. It uses all the security policies, controls and configuration management. It saves the handoff time between the both teams using development code and infrastructure code.

Different DevOps Methodologies:

Incremental model groomed next level of development lifecycle under common umbrella termed as Agile. Below is list of SDLC that can effectively utilize DevOps process and tools achieve business goals.

Scrum Framework:

Scrum is widely used development philosophy that is more suitable for complex problems in adaptive way by release to market in small chunks of features that are in demand for business. Sprints are termed as iteration or release cycles that follows retrospective to understand process level improvements needed to achieve sprint goals in future.

Kanban Framework:

It is also continuous delivery model similar to scrum that helps team to work in collaborative way to achieve the business goals. It uses work flow that can be achieved through Kanban board, Kanban cards with help of pull system approach. Support and service kind of projects that needs quick attempt and dynamic tickets utilized this model using latest devops tools.

SAFe:

Scaled Agile Framework help us to manage not only the project level connect deliverables. It helps project level backlog items along to sync with Program and Portfolio level backlog items. It effectively uses the Scrum of Scrum’s in train model of same planning based on dependent complex deliverables.

Lean & Extreme Programing:

Extreme programing and Lean development model also improvisation of Agile to deliver the frequently changing requirements of customer in short iterative cycles. It uses the pair programing approach, Configuration, Deployment and Monitoring tools to achieve the quick release to the market in adaptive way. DevOps tools and process are the key factors to achieve this effectively.

Features of DevOps:

Microservices Approach:

DevOps deals with building application in multiple small unit’s using the service approach called Micro Services. Every individual Service has its own process and it can able to interact with other service that is independent as well as present in same server. It is light weight mechanism also deploy individually as well as group of services.

CI – CD Approach:

DevOps helps us to create the pipeline for developing, continuously integrating and deploying the application to customer environment. DevOps focus to do the CI-CD approach in rapid, reliable and safety way using the central repository, Automated build for development and QA CI approach.

Monitoring:

DevOps has different monitoring tools such as Splunk, Nagios etc. help us to understand all types of network issues, application infra issues and to help us to solve the issue permanently.

Top DevOps Tools & its features:

GIT:

GIT and GIT Hub is the widely used popular source code management software that helps us to maintain the shared code repository. It will be helpful for the team to sync while working in different locations. Two types of repository such as local and shared repository available.

Developers can create own separate branches in repository and can push or merge to the master branch. All the workflow integrated to the platform for the hosting is knowns as GitHub.

Jenkins:

Jenkins is open source automation tool that helps to achieve Continuous integration and deployment by build, test and deploy application using configured Jobs. It is very easy to learn and help to integrate the project changes of group of people. It supports various plugin’s, capability of integrating different testing tools and display the results in logs as well as in dashboard.

It supports various platform like Linux, windows and MacOS etc. In QA part, Majority of parallel test suite or compatibility will be executed in Jenkins using separate jobs executed in different Linux machines and results will be viewed in Job logs.

Docker:

.

Docker is platform that used mainly in Micro services development, deployment and run the applications. Docker works in the concept of containerization it means application modules developed as individual containers (I.e.) package that consist of code, libraries and its dependent files that deployed and run in same servers but act as individual component. Docker file build into Docker image then it run to form the Docker containers contains the application.

We can manage Docker images in Docker hub that act as shared repository where we can use it to deploy in different servers as containers using push and pull docker commands.

Ansible:

Ansible is another Open Source tool for Configuration Management in deployment for Infrastructure as a code. It is automated way to do all the IT infra deployment for software or application, Intra services orchestration and Managing cloud effectively.

Ansible is following the mechanism called Agentless that helps to send the changes from one source to many remote other machines or sources without installing specific client agent software or component. Chef and Puppet are older software tools that follow master/slave or agent model where the individual machines or VM will have agent software’s.

Playbook and Inventory concept in the Ansible Management node helpful to deploy the application through configuration management version through ssh. We can also create “n” number of groups in Inventory with set of remote nodes. We can install certain application or software in certain group of nodes is possible.

Kubernetes:

Kubernetes is open source tool and it works on same concept of Docker containers only difference is it can manage, monitor, scale and deploy the containers. Docker swarm can manage the cluster of containers bur kubernetes helps to do the scaling in cluster effectively.

It is easy to understand the kubernetes architecture. Pods are basic elements of kubernetes that may consist of one container or multiple container cluster in each node. Nodes having Kube proxy will interact with Kubernetes master in achieving the management of pods effectively.

Terraform:

Terraform is open source tool and it will be useful for build and versioning the infrastructure effectively. It consists of configuration file part that helps you to give information about running the single application or group or even huge data center. This is similar to Ansible but differs in few parts.

Both are automation tool but Terraform behave as Orchestrator in versioning, provisioning and automation. It supports to work effectively with different platform or we can say hybrid platform.

DevOps Certification Path:

DevOps is based on combination of different tools, technologies and its process. So we can’t define single certification of DevOps. Find below the list of certification that are frequently done by the majority of DevOps candidates all over the world.

Certification Exam	Exam Duration	Exam Fee	Type	Apply Link
Certified Kubernetes Administrator (CKA)	3 Hours	$300	55 MCQs	https://www.cncf.io/certification/ckad/
Certified Kubernetes Application Developer (CKAD)	2 Hours	$300	Problem Solving	https://www.cncf.io/certification/ckad/
Docker Certified Associate	90 min	$195	Problem Solving	https://www.docker.com/
AWS Certified Engineer DevOps Engineer	2 hours 50 min	$300	40-65 MCQs	https://aws.amazon.com/certification/certified-devops-engineer-professional/
Azure DevOps Az-400	2 hours 50 min	$165	40-60 MCQs	https://docs.microsoft.com/en-us/learn/certifications/devops-engineer/
Architect with GCP	Flexible	Free	Course	https://www.coursera.org/specializations/gcp-architecture?ranMID=40328&ranEAID=Vq5kdUDL6n8&ranSiteID=Vq5kdUDL6n8-WgNauoz9Z_Tgx4T7xUNSEQ&siteID=Vq5kdUDL6n8-WgNauoz9Z_Tgx4T7xUNSEQ&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=Vq5kdUDL6n8
Puppet Professional Certification	90 min	$200	60 MCQs	https://puppet.com/learning-training/certification/

Introduction

To start with, Python is the top programming language as most used, most searched language globally. According to the recent TIOBE index report, Python is the one of the most popular and best choice for latest trends. Let’s take a look at the important skill set neededfor a python developer,

Knowledge of Core Python

The Python developer must have an expert knowledge of Core Python. One should have a deep understanding about the concepts of core python and some of them are:

• Data Type
• Control Flow Statements
• Data Operations
• Modules
• Generators
• Exception Handling
• File handling concepts
• OOPs Concepts
• Data Structures

Python training course in Chennai at Credo Systemz enables developers to acquire in depth knowledge from basic to advanced concepts of Core Python which includes the above with the help of practical training.

Knowledge of Web Frameworks

Python is one of the leading programming languages with different frameworks and they are divided into three types of Python frameworks,

• Full Stack framework
• Micro framework
• Asynchronous framework

Django, Flask is the most popular Python web framework to build smarter and faster web applications.Developer should have an excellent knowledge of these web frameworks. Django is a high-level Python web framework that enables rapid development of qualitywebsitesand Flask is a Python micro web framework which is widely used for its simplicity. To become web developer, Python training in Chennai at Credo Systemz start with the very basic knowledge of HTML, JavaScript, and CSS to become a Good Python Developer followed by advanced frameworks which is needed for a web developer.

Front-End Technologies Knowledge

Python developers have to work and coordinate with the front-end team to associate client-side with the server-side. They should have a good understanding of front-end technologies to be a developer so that they can effectively develop withquality appearance of the application, working of front-end, possibilities, and limitations of the front-end. The expert Python trainer guides in gaining the experience and knowledge of front-end which will be helpful in handling projects.

Good Understanding of Multi-Process Architecture

A Python Developer should learn about Model View Template, Model View Controller to know about the codes used in the working of project release and deployment.Python’s built-in multiprocessing module allowssending the code to multiple processors for simultaneous execution. So this python developer skill helps to solve the problem in the core framework after understanding the multi-process architecture.

Skills of Data Scientists

A Python developer can uplift their career in the field of Data Science by having the basic knowledge about data and its processing. They have great functionality to deal with mathematics, statistics and scientific function.The few important skills are,

• Basic knowledge of data
• Good Knowledge of SQL
• Python packages such as Scikit learn, MatPlotib, NumPy, etc. for Data Science
• Data Cleaning
• Data Wrangling
• Data Analysis and visualization
• Mathematical Knowledge
• Knowledge of Probability and statistics

Artificial Intelligence and Machine Learning Skill

A Python developer in Data Science should have expert knowledge about Artificial Intelligence and Machine Learning. One should have a good understanding of Neural Networks, Produce insight from data, visualization of data, Data analysis, and collection of data from various sources.

The Python library to perform elementary machine learning tasks

• numpy – mainly useful for its N-dimensional array objects
• pandas – Python data analysis library, including structures such as dataframes
• matplotlib – 2D plotting library producing publication quality figures
• scikit-learn – the machine learning algorithms used for data analysis and data mining tasks

With the option to customize the course content at Credo Systemz in learning python training in Chennai, the aspirants can create a path to reach the latest trending technology career. To know more, talk to Credo Systemz career experts.

Knowledge of Python libraries

Python is an efficient language with largest collections of libraries which is readily available for use, with sufficient documentation. A Python developer must have skill to use the important packages to implement which is provided by the Python. These libraries cover wide range of domains, such as Artificial Intelligence, Machine Learning, Data Science, and much more. Python has an active community to get help from others around the world.

Design Skills

A python developer should have knowledge of designs and its skills while designing scalable products, highly scalable systems using best development techniques and tools. Businesses get promoted based on designed systems and solutions with less downtime as possible.Flask or Django python frameworks are helpful to build systems that work efficiently at both the client-side and the server-side.

Object Relational Mappers

Object Relational Mapper is a technique that automates the transfer of data stored in relational database tables into objects that are more commonly used in application code.A virtual object database is created by Object Relational Mappers and can use many customizable ORM tools.

An object-relational mapper is a code library ORMs provide a high-level abstraction andallows a developer to write Python code instead of SQL to create, read, update, delete data and schemas in their database. Developers can use python programming language with a database instead of writing SQL statements or stored procedures.

Deep Learning

Python is the best choice for Artificial Intelligence, Machine Learning, and Deep Learning projects. Deep learning is an interesting and powerful type of machine learning, artificial intelligence (AI) technique. Python developer should have good understanding of deep learning concepts that will be useful for the career growth. The few top deep learning libraries on the Python ecosystem are Theano and TensorFlow

Analytical Skills

Analytical skills of the python developer help to uplift in the field of Data Science in the future. The required analytical skills need a good understanding of building useful websites for web development, visualizing datasets, optimization of algorithms while coding, writing clean code, etc.

Integration Skills

The skill of integrating multiple databases and data sources into a single system is very important for a python developer. This integration helps in the smooth running of the system, and projects. It is a meticulous knowledge of integrations, development processes, and integration architectures which is important for code development, maintenance, and implementation.

Communication skill

Communication skill is essential for any profession to bring success to the organization. It helps to avoid any communication gap or confusion in understanding among the team. It is needed to solve any problem and to communicate with teammates in a effective manner.

Conclusion

Finally, this article clearly explains the top skills needed for a developer to start and uplift their career growth. The above python skills helps any python professional to enter in the top leading trending technologies like Artificial intelligence, Data science, Machine learning and much more. Learn Python training in Chennai at Credo Systemz follows a practical training approach to develop the in-depth knowledge and skill set needed for expert Python professionals with the help of industrial professional trainers. This Python course in Chennai helps aspirants to land in the right job using placement support with the help of interview tips, mock interviews, previous interview questions and answers of top companies and life time support.

Java and Python are leading programing languages that is frequently used by majority of the development companies. Both support the Object Oriented Programming (OOPS)where as it has many significant differences between both and those differences are shown in below table.

S No	Java	Python
1	Java is Compiler + Interpreted enabled language	Python is interpreted language
2	Java support multiplatform, Object Oriented and network based programing language	Python is light weighted high level object oriented programing language
3	Java is based on static typed programming language	Python is based on dynamic based programming language
4	Java doesn’t support multiple inheritance. It can achieved partially through interface	Python support multiple inheritance
5	Java supports only minimal string functions	Python has inbuilt more string related functions
6	Java Program is portable and has capability of run in any machine using the help of JVM	Python need an interpreter to get installed in end user or target machine to interpret or translate the python code.
7	Java is suitable for application such as Desktop and web application	Python suitable for Numeric, Machine learning,IOT and data science oriented application
8	Java use curly braces for start and end while writing code as components	Python use indentation not use the curly braces
9	More lines of code to achieve a task in Java	We can write minimal code to achieve the task effectively in python. Simple syntax when comparing to Java
10	Java is complex and hard to learn	Python is simple, light weighted and easy to use.
11	Java doesn’t have option of test before implementation	Python helps to test the things before it gets implemented and has that libraries
12	It has Backend framework like Sprint, Struct, Blade and Spring boot	It has popular Django and Flask framework
13	Java has gaming engine such as JMonkeyEngine	It has popular engine like Pandas3D
14	Java has good documentation support available in Oracle site	Python doesn’t have much organized document support such as Java
15	Average Salary of Java Developer is $ 103,400 Per Year	Average Salary of Java Developer is $ 118,600 Per Year. It looks higher than Java developer

Interview Questions based on Experience – Click here – Python Interview Questions and Answers

Python Job Opportunities:

Python and Java developer job opportunities are more competitive in the world market. Every year Python jobs getting increased because of its light weight approach and usage in trending Machine learning and IoT applications. Even Java has strong programing and documentation capability still it lacks in Job growth because it not gets used much with trending data warehousing or Big data or Data science related application. Trend of Python increasing 5 Percent every year and Java is dropping 0.5 percent every year.

Java Job Opportunities:

Java also have good scope in Job market for beginners and especially for the experienced candidates with Spring and Spring boot knowledge. Majority of the existing application past 20 years already built on Java and Java framework based application. Modern world application also using java and micro services based development techniques only. Job market has more Java with Spring jobs mainly because of many existing candidates attracted and moved towards the trending technologies.

Find below the list of companies that has decent packages for Java Jobs

Types of Java Application:

Java is frequently used in developing below type of applications.

• Standalone Application
• Web based / Enterprise Application
• Mobile Application

Standalone Application:

Software application that work in desktop or individual machines without help of any internet or intranet is termed as standalone application. Best examples for standalone applications are MS Office, Calculator, VLC Player etc.

Web Application:

Web application works only with help of internet / Intranet. It need browser to view the application elements. It works with help of 3 tier or N tier architecture. Java spring framework is useful for developing web based applications.

Examples for Web applications are Gmail, Amazon, IRCTC etc. browser applications

Mobile Application:

Mobile application is the application that installed in mobile devices such as mobile phone, tablet or smart watch that may work with or without internet or intranet is termed as mobile applications.

Examples of mobile application are Angry birds, CITI Bank Mobile App, WhatsApp etc. Even Calls,Call log are mobile application and we can termed it as predefined mobile application.

Types of Applications build in Python:

Python programming language also very powerful in developing different types of applications or solution. Find below the list of applications that are suitable to get developed using Python. Comparing to java python has wide capability to develop different types of application listed below.

• Console Application
• Desktop Application
• Block Chain Application
• Machine Learning Application
• Gaming Application
• Web or Enterprise Application
• System or Network Management Application
• Audio / Video / Image Processing Application

Console Application:

These applications are also termed as command line applications. Applications that doesn’t have GUI are termed as Console or command line application. End user needs to memorize the cryptic commands to run the application Example Networking application like Putty or MS-dos OS are best examples of console application. Many leading MNC’s are using this attribute of free available libraries to develop such console applications.

Desktop Application:

Desktop application are application that used after installation that works without help of internet or intranet. Already we discussed such application in Java application as standalone application.

Block Chain Application:

Python is widely suitable for developing modern Block chain applications. Developer can develop such application with the help of Flask Framework that is more popular in handling the Http request and end point creation in unique functions.

Machine Learning Application:

Most popular word use in the Job market is Machine Learning Developers nowadays and that ML applications are developed effectively using the Python language. It has predefined free libraries such as Pandas. NLP (Natural Language Processing) and Computer Vision also the Data science topics that can be effectively done through Algorithm implemented in Python.

Gaming Application:

Python helps gaming developer to develop the gaming application easily. It has powerful gaming engine such as Panda3D. Many live popular gaming applications are developed using the facility RGP – Rapid Game Prototype available. Real time testing for the Python games are done through Pygame facility.

Audio / Video / Image Processing Application:

Python is very light weighted and help us to create the audio and video applications. There are few libraries like PyDub help developers to build effective audio and video application.

YouTube is the best example of such application developed using Python language. All the above applications are implemented

Most Popular Python framework that used for developing applications are listed below

• Flask
• Django
• Pyramid
• Web2Py
• CherryPy

Hope this article covers the overview about the python and Java in detail about their features and differences

Related Articles refer here:

Python Programming | Python Trends in 2023 | Why need to learn python ?| Python certification course in chennai

Techies all over the world know about the pain of layoffs and less salary hike. Especially in India 2017 is had been a bloodbath for Information Technology field, According to the survey of Quartz India 56,000 software engineers lost their job and many number of techies are worried about their low salary hike..!!

It’s worstto hear about the status of the new job opportunities available for the beginners in IT. India’s largest IT giants TCS & Infosys have reduced their headcounts!! To be particular Infosys cuts 9,000 jobs.

Meanwhile…

There are huge amount of vacancies available and many number of job positions are not filled up because of the lack of the skills, to be particular there is a huge demand for Big Data developers, Data Scientist, Automation Testers, RPA Engineers & MEAN Stack developers.

Top Trending Software Technologies 2023

Solution…?
Doing Certification Courses in the certain software or field is the only option to make yourself an asset to your company..!
Here we have listed the Top 5 Important Certification Course in 2023..!

• Data Science Certification Course
• AWS Certification Course
• MEAN Stack Certification Course
• Robotic Process Automation – Blue Prism Certification
• Big Data/Hadoop Certification

Data Science Certification Course:

Data Science is a knowledge of various fields which consists of planning, methods, process and extracts the knowledge of the system or idea from the data which is in multiple formats that might be organized or unorganized like Data Mining. Data Science really very useful for managing large sets of data from the huge level of businesses which is using various algorithms and analysis. Essentially Data Science identifies the data insight.
One who do all the above tasks is called as a Data Scientist. Our Data Science Certification training will help to get all the required Data Scientist skill set which the recruiters expecting from You.

Data Scientist Certification:

Data Science is the hottest job in the IT field, to be a professional data scientist you need different types of skills which we already discussed under Data Scientist Skillset post. Since this field is growing faster many top companies provide Data Scientist Certification course. Some of them are as follows,

• Microsoft Academy Data Scientist Certification Course

Credo Systemz also provides Data Scientist Certification program in Chennai, Here our Data Science Certification program includes R Programming concepts, Machine Learning, Python Programming, Implementation of Data Science techniques in R & Python programming.
Free Download: Data Scientist Course Content PDF

AWS Certification Course:

AWS is actually a subsidiary of Amazon.com which provides cloud computing platform on demand for many organizations. A secure could services platform which offers database storage, content delivery, compute power and other functionalities which help in business growth. With the help of AWS you can build your own application with increased flexibility, reliability and scalability.
AWS Cloud provides facilities such as computing power, storage options, networking and databases in a set of infrastructure service. To be accurate AWS provides over 90+ services which include data warehousing to deployment tools and directories to content delivery.

AWS Certifications:

Credo Systemz provides AWS training with certification, Our trainers here handles more than 20+ important AWS services with real time case studies. The AWS course content that we provide is suitable for applying AWS associate level certification examinations.
Free Download: AWS Course Content PDF

MEAN Stack Certification Course:

MEAN is a collection of JavaScript-based technologies to develop fastest Web Applications. MEAN is an acronym for MongoDB, Express JS, AngularJS and Node.js.
MongoDB is the leading NoSQL database, empowering businesses to be more agile and scalable. MongoDB saves data in binary JSON format which makes it easier to pass data between client and server.

Express js is a minimal and flexible node.js web application framework, providing a robust set of features for building single and multi-page, and hybrid web applications.

AngularJS lets you extend HTML vocabulary for your application. The resulting environment is extraordinarily expressive, readable, and quick to develop.

Node.js is a platform built on Chrome’s JavaScript runtime for easily building fast and scalable network applications. Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient.

MongoDB & NodeJS Certification:

MongoDB provides official certification under university.mongodb.com. Individual who having the certification is considered as an expert in MongoDB.
MongoDB Certification Exams: The two different MongoDB certification are as follows;

• MongoDB Certified Developer Associate
• MongoDB Certified DBA Associate

MongoDB Certified Developer Associate:

90 minute exam – Based on MongoDB 3.6 This associate level MongoDB certified developer examination is for the individuals who having the basics fundamental knowledge in MongoDB. Our MongoDB training course provides all the topics from the introduction of MongoDB to Indexing. Software engineers who having knowledge in MongoDB fundamentals or MongoDB certification courses can easily clear the exam.

• Your skillset in MongoDB will be increased
• Showcase your professional skills during interviews
• Stand out of the queue as a Certified Professional

Free Download: MongoDB Course Content PDF

Node.JS Certification

Node.JS foundation organization provides official certification for Node.Js, this certification program is named as NCD Program.  Complete details about the certification course is mentioned in foundation.nodejs.org. Node.JS foundation group has collaborated with Linux foundation to provide this certification. Free Download: Node JS Course Content PDF

Robotic Process Automation – Blue Prism Certification Course:

Robotic Process Automation(RPA) is defined as the process of automate the business process using software robots. RPA helps to boost your business by scalability, flexibility and fasten the processes handled by humans. This RPA robots are also easy to use, training the robots is also easy. RPA’s also reports the tasks performed by them which help you to monitor the tasks easily and also you can design them to perform a vast range of tasks.

What is Blue Prism?

Blue Prism is the most successful RPA software which is used different organizations for the digital workforce. Blue Prism Certifications: Free Download: Blue Prism Course Content PDF

Big Data / Hadoop Certification Course:

Big Data / Big Data Analytics / Hadoop / Data Science all these are the latest sensation in IT fields. The term big data is referred as the large amount of data, We all know that data is everywhere and each and everyone is looking out the data to perform a tasks regardless of domains. Big Data is implemented in different domains which results in more number of job opportunities. Also the job roles available is also many numbers from which you can choose the one which suits your skillset.

• Hadoop Big Data Developer
• Hadoop Administrator
• Data Engineer
• Big Data Architect
• Machine Learning Engineer
• Software Development Engineer
• Big Data Engineer
• Big Data Consultant

Big Data Certification:

Big Data – Hadoop job opportunities are in huge amount according to the tech report across the internet. To be more particular from the past twelve months IBM, Cisco & Oracle has posted 26,488 jobs.

Big Data/Hadoop Developers Career Path:

Top Hadoop Certification Providers:

Computing Technology Industry Association (CompTIA) survey report states that recruiting team members showing more interest towards the certified candidates than others.

• HORTONWORKS Apache Hadoop & Big Data Certifications
• Cloudera Certified Professional (CCP)

Free Download: Hadoop Course Content PDF Are you still uncertified!? Worried about getting a Certification!!?? Here is the best part; Credo Systemz the pioneer of Software Training Institutes in Chennai has simplified the process of getting certifications for entry level and experienced professionals.  Our different set of certification programs from basics Java to Data Scientist will help you to learn the concept practically, from which you can get hands-on real time experience and clear the exam as easy as possible.

Python Introduction

Knowledge drop!! Python programming which is one of the high level interpreted general purpose programming language which is created by Guido van Russom, we are pretty sure that when he created this programming he definitely didn’t know that he it will be huge hit and used by programmers all over the world and becomes one of the top used programming language.

Many of us might have learned Python programming, worked in it, even completed plenty of projects using Python programming or even a person who doesn’t know anything about it, don’t worry this post here will help you to understand everything about Python and the reason to learn Python.

Learn here : What is python programming ? “Python fun facts”: In Python the most used APIs and important libraries available for Machine learning, AI and Data Science.

Why Python does top the list?

We might have thought how a programming language which has been created in a person’s holiday time has been a huge hit, If you are the one then here you go the below benefits of Python programming points will clearly shows why it is, Here you go:

• First of all Python programming is very easy to learn, easy to work and read.
• Python is especially considered as one of the best idle programming which works well with general purpose tasks like data mining, automation.
• By the same if you are not a professional programmer no worries you can easily read Python & understand it.
• Undeniably Stack Overflow shares “Python has a solid claim to being the fastest-growing major programming language”.
• Indeed Python also powers different frameworks which helps to work in different fields like Django an open source web application framework and Ruby on rails.
• The most important point to notice is Python programming in different fields, whatever the technology you chose Python will be there.

“Python Fun Facts”: Python is the important part of Google, the dozens of Google engineers use python in every day

Top field where Python Is Used?

As already shared above Python language is considered as a common purpose language to be used in different fields even including the top technologies. Listing few below for your reference

• Data Science
• Machine Learning
• Web Development
• Computer Graphics / Game Development
• GIS software – Mapping & Geography
• Test Automation
• Big Data and Data Analysis
• System automation & administration
• Game Development

For more info check here : Top Python Development Trends in 2023

Python Job Opportunities

This COVID 19 pandemic period has put the whole world in an unstable situation, the current report shares even during this pandemic situation the job opportunities of Python developer still in demand.

As already updated the Python programming language suits for both beginners and experienced professionals hence the job opportunities are also available for both freshers and developers as well.

Python for fresher

Here You Go: As a beginner or fresher IT professional are you thinking about starting you career in Python and asking yourself Why learn Python ?, Then here you go this part is specially for you.

• Python has been registered as the most popular programming language where the interest is rising 27% every year.
• The usage of Python is gaining a lot of interest all over the world which helps to get more job opportunities.
• If you have interest into Machine Learning & Artificial Intelligence then Python is the right way to begin.
• Most importantly it is very easy to learn and amazingly runs in any platform without any problem.
• From the report generated by Payscale the average Salary of a Python developer in India is 561,940 INR / year.
• As shared above Python is a general multipurpose programming can be used anywhere which helps the fresher to gain most job opportunities.

Learn Python and Certified – Get Your Certification

Python for Experienced

There’s no doubt about it: Python Programming is the hottest language to learn in 202 1 What makes Python a preferred language for experienced programmers?

• If you are an experienced programmer, then Python is the best option for your career growth in tech world. So, here we listed the trending technologies which is most important reasons to learn python for experienced programmers
• Python is the leading language of Data Science, Machine learning, AI, Big Data, Web Development and testing framework.
• Most of the data scientist preferred python for their preferred language well, python offers the most diversity and libraries more than R programming.
• Also, Machine learning algorithms are high phenomenal growth in now days, here python is best part and most preferred programming.
• The most popular web frameworks in python was Django, Flask, Pylons, these are makes code faster and stable.
• As well as, Python is the best choice for IoT- Internet of things.
• Likewise, The Artificial intelligence is huge development in current industry, here Python act as the best part.
• Of course, Python is the most important in Big Data and Testing Frameworks

Whoa!! That was great opportunity for experienced programmers. As a matter of Fact: Python has highly paid and also huge Scope of Jobs and Career Growth Besides all, Python is very easy to learn and as we discussed it having high career growth and high demand for python developers. Python is the excellent starting point to learn in 2021. Programming is an art, here python proved this from all the above points.Interested to learn Python? Click below to start Python also checkout our Python Course Syllabus for your Python real time training. Python Training Credo Systemz

Refer this to :

• Java vs Python Comparison
• Difference Between Python – 2 & Python – 3
• Top Python Trends in 2023

Introduction

As the software industry advances, the demand for software testing increases which in turn increases automation testing with selenium. The software testing profession is a changing fieldwith challenges from time to time providing several career opportunities.

Among the testing types, manual testing is a time-consuming procedure with lot of challenges. Furthermore, automation testing seems to be a technological breakthrough which assists all testers with testing tools, techniques and concepts.

Selenium

First of all, Selenium is a web-based, open-source software testing tool that automates web browser and handles software testing needs. It provides easy navigation tools that can write test cases without any script. Because of its domain-specific nature, selenium automation testing allows to write test cases and scripts in any of the popular programming languages such as C#, Java, Scala, Ruby, PHP, Perl, and Node JS etc.

For Knowledge : Selenium

Why Selenium?

Selenium is the best preferredframework for automation testing among developers internationally.It is the popular testing tool which has a growth of 300% in job postings. According to Gartner report, Selenium has the highest adoption rate in open-source automation testing tools. .

To begin with, Selenium is an open-source tool, which is free and accessible. We can customize the code for better management along with built-in functions and classes. Because of its built-in grid capability, parallel testing across browsers can be done using various webdrivers and language bindings support..

Due to the test scripts generation capability, Selenium WebDriver is a proven web automation framework.Importantly, Selenium supports multiple popular browsers which isintegrated with a testing framework like TestNG to make sure that the application works exactly. .

Especially Selenium allows creating testing suite, test cases on any platform like OS X, all versions of MS Windows, Ubuntu and much more. For example, the test cases written using Windows OS can run on a Linux based system. Selenium supports OS X, all versions of MS Windows, Ubuntu and other builds with ease..

In iOS devices,Selenium can be used for testing automating websites along with Appium to identify any bugs that might encounter problem in the real world. Allowing multiple browser testing, Selenium can be used in browsers like testing Chrome, Safari, Edge, and Firefox browsers with comprehensive documentation and support.

Finally, Selenium offers a faster API with architectures like REST and SOAP to explore using Selenium WebDriver. To test API based on SOAP, we can use SOAP UI.

Here’s Why

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