Drive Complex Logic with while loops

DevOps has evolved in the recent years. DevOps was initially used for IT delivery but now it has taken over the entire enterprise. Many companies have adopted to use continuous integration/delivery/deployment and enjoying great benefits DevOps has to offer. Cloud is one more big thing happening in the recent past. Cloud migration projects are a common sight across organisations these days. IaC (Infrastructure as Code) is an integral part when it comes to provisioning your infrastructure in Cloud.I have designed this course in such a way that it blends both DevOps CI/CD and IaC to give you a perfect end to end holistic picture. I have explained each concept step by step using real world projects and examples. When it comes to DevOps tool chain there are tons of tools. So, I have selected the most mature and widely in-practice(used) tools. This course is delivered in 3 logical stages. Stage 1 : We will provision our own virtual data centre in AWS using Infrastructure as Code with the help of Terraform. Terraform is the most popular tool when it comes to IaC.Stage 2 : We will configure the DevOps tool chain. Git for VCS(Version Control), GitHub for SCM (Source Code Management), Maven as build tool, Jenkins as continuous integration tool, Nexus as repository manager, Sonarqube for static code analysis, Ansible for build and configuration management, Apache tomcat and Docker to host our web application.Stage 3 : We will learn PaC (Pipeline as Code), How to write Jenkinsfile from scratch. We will then create pipeline job(CI/CD) using all the above mentioned DevOps tool chain step by step.The course also has Quiz sections which are a great way to check your learning. In fact, these quiz sections are great way to learn as well.There is always a great demand for the DevOps professionals so learning DevOps will greatly help you in your professional career. A little about me : I am Vinay and I have 19+ years of working experience

Before applying any data science model its always a good practice to understand the true nature of your data. In this Course we will cover fundamentals and applications of statistical modelling. We will use R Programming Language to run this analysis. We will start with Math, Data Distribution and statistical concepts then by using plots and charts we will interpret our data. We will use statistical modelling to prove our claims and use hypothesis testing to confidently make inferences. This course is divided into 3 PartsIn the 1st section we will cover following concepts1. Normal Distribution2. Binomial Distribution3. Chi-Square Distribution4. Densities5. Cumulative Distribution function CDF6. Quantiles7. Random Numbers8. Central Limit Theorem CLT9. R Statistical Distribution10. Distribution Functions11. Mean12. Median13. Range14. Standard deviation15. Variance16. Sum of squares17. Skewness18. Kurtosis2nd Section1. Bar Plots2. Histogram3. Pie charts4. Box plots5. Scatter plots6. Dot Charts7. Mat Plots8. Plots for groups9. Plotting datasets3rd Section of this course will elaborate following concepts1. Parametric tests2. Non-Parametric Tests3. What is statistically significant means?4. P-Value5. Hypothesis Testing6. Two-Tailed Test7. One Tailed Test8. True Population mean9. Hypothesis Testing10. Proportional Test11. T-test12. Default t-test / One sample t-test13. Two-sample t-test / Independent Samples t-test14. Paired sample t-test15. F-Tests16. Mean Square Error MSE17. F-Distribution18. Variance19. Sum of squares20. ANOVA Table21. Post-hoc test22. Tukey HSD23. Chi-Square Tests24. One sample chi-squa

AWS Greengrass is software that lets you run local compute, messaging, data caching, sync, and ML inference capabilities for connected devices in a secure way. With AWS Greengrass, connected devices can run AWS Lambda functions, keep device data in sync, and communicate with other devices securely – even when not connected to the Internet. Using AWS Lambda, Greengrass ensures your IoT devices can respond quickly to local events, use Lambda functions running on Greengrass Core to interact with local resources, operate with intermittent connections, stay updated with over the air updates, and minimize the cost of transmitting IoT data to the cloud. ML Inference is a feature of AWS Greengrass that makes it easy to perform machine learning inference locally on Greengrass Core devices using models that are built and trained in the cloud. AWS Greengrass seamlessly extends AWS to devices so they can act locally on the data they generate, while still using the cloud for management, analytics, and durable storage. With Greengrass, you can use familiar languages and programming models to create and test your device software in the cloud, and then deploy it to your devices. AWS Greengrass can be programmed to filter device data and only transmit necessary information back to the cloud. AWS Greengrass authenticates and encrypts device data at all points of connection using the security and access management capabilities of AWS IoT Core. This way, data is never exchanged between devices when they communicate with each other and the cloud, without proven identity. Benefits :Respond to Local Events in Near Real-timeAWS Greengrass devices can act locally on the data they generate so they can respond quickly to local events, while still using the cloud for management, analytics, and durable storage. The local resource access feature allows Lambda functions deployed on Greengrass Core devices to use local device resources like cameras, serial ports, or GPUs so that device applications can quickly acc

Learn python in Malayalam language.This course is intended for programmers from kerala (India) to learn python in their own mother tounge.Become a python programmer and learn all python skills needed for the IT job.Complete the course and crack the python interviews and get placed with good salary.The course is 10 hours long and built in such a way that once you complete the course you will no longer need to search the internet for python related stuffs. Because everything is covered in this course for you. Chapters and Contents1. Control Flow Statements : Learn what are control flow statements and loops. Do sample programs with loops and control flow statements.2. Lists : All operations on python lists3. Strings : All operations on strings and string formatting4. Dictionary : All operations on dictionary5. Tuple : All tuple operations6. Set : All set operations 7. Functions Writing and calling python functions Type of functions in python lambda functions User defined vs built-in functions 8. Object oriented programming (OOPs)Creating classesInheritanceTypes of inheritanceMethod overriding9. Exception handlingWhat are exceptionsHandling exceptions<

Become a Professional JavaScript Programmer with Stone River eLearning's online course bundle designed to take you from a Javascript beginner to a pro. Javascript has seen an incredible rise in popularity over the last several years thanks to the development of a huge number of libraries that allow you to do almost anything with it. It's never been more important than right now to learn Javascript in depth. It will allow you to get great development jobs or move up in your current job, and Javascript development (especially for web app development) is a key skill for today's tech entrepreneurs. This is a living, breathing course bundle. We will be updating content and adding new content for quite a while to come. Purchase this bundle today and continue to get new cutting edge Javascript content as we roll it out. Phase 1 This is the core of JS. These courses should be done in the order shown prior to moving to the next "phases". When completed, the student is ready for "Databases" or "Frameworks" Fundamentals of JSjQueryNodeJSBackboneJS Phase 2 This is optional, but imperative for a "Full Stack" developer. Either Mongo or Firebase, or both. MEAN includes Mongo and also adds a Framework (Angular) and is an assumption of a Full Stack developer. MongoFirebaseMEAN Phase 3 With Phase 1 complete (and, optionally, Phase 2), the student is ready to learn modern JS Frameworks. Any or all of these are good to go. React Vue Ember Angular4 Phase 4 After learning a major JS Framework or two, these supporting libraries/technologies are now in order for the student to complete their JavaSc

Welcome, Entrepreneurs! Dive into "The Entrepreneur's Guide to Effective Time Management," a comprehensive course crafted to elevate your time management skills and productivity to unprecedented levels.For years, I faced the same challenges in time management and productivity that you might be experiencing. It was a relentless cycle of trying out different strategies, finding short-term success, and then reverting to old patterns. This constant struggle was not only frustrating but also counterproductive. However, everything changed about 12 months ago when I embraced new thinking patterns and actions in my daily life, leading to a significant improvement in my productivity and control over my time.In this course, I am excited to share these transformative strategies with you. This is not just a compilation of quick fixes but a holistic transformation of your approach to managing time. It's designed to turn your every day into a series of achievements and productive outcomes.Here's what you can expect from this dynamic, content-rich course:Empowerment Over Time: Learn to take control of your schedule, making your time work for you, not against you.Boosted Confidence and Accomplishment: Experience a newfound sense of achievement as you effectively conquer your daily tasks.Maximized Daily Potential: Discover techniques to get the most out of every 24-hour period, enhancing your entrepreneurial journey.Beyond just learning strategies, this course offers a journey towards a lifestyle abundant in productivity and effective time use. Key components include:Mindset Shifts: Understand the psychological barriers to effective time management and learn how to overcome them.Practical Strategies: Implement proven techniques to organize your day, prioritize tasks, and avoid time-wasting pitfalls.Sustain