Attending and succeeding at an interview is the first step to landing a job of a programmer. This much is well-known, but making it past the interview is where the real challenge lies for a programmer. Why? Because cracking the programmer interview is a real tough prospect, even for seasoned programmers.
The reasons for which cracking the programmer interview is tough are many. Some of these are:
- The program that you write at the interview may not be anything like one you have written in real life
- There is no QA person to certify and stamp the accuracy and veracity of the program you have written at the interview
- It is not always easy to write a functional program under the constant gaze of the interviewer’s eyes
- No programmer is perhaps used to being asked so many questions about the rationale for a program. In real life, a programmer is seldom asked to explain the reason behind every line of program that is written.
Get trained on cracking the programmer interview
So, how does one go about cracking the programmer interview? All these facts about cracking the programmer interview should not deter or intimidate you. A course from Simpliv on how to get the elements of cracking the programmer interview right will explain all the issues related to how to crack the programmer interview.
Simpliv is a reputable platform for that brings courses of almost all areas of human knowledge, whether of IT or non-IT related areas, together. This video library brings together many experts in their respective areas from around the globe to teach these subjects. Simpliv has created this video library courses platform because of its firm conviction that no subject or topic should be outside the purview or reach of the interested learner, no matter in which part of the world where she is located.
This course will feature Janani Ravi of the famed Loonycorn team as the expert. Janani is an experienced technical professional who worked at Microsoft, Google and Flipkart before branching out to pursue her love of teaching. At this course, this Harvard graduate will explain what it takes to crack the programmer interview with practical examples.
Janani will explain how to get the whole programming task right at the interview. This is important for cracking the programmer interview because no two programs are alike, and the program that you are required to demonstrate at the interview may not be one that you have written in all your years of working as a programmer.
Get your fundamentals right, and practice them day in and day out
No matter which level of seniority a programmer is taking the interview for, it is important to bear in mind that practice is the most important foundation to cracking the programmer interview. The interview should leave no loose ends in even a single line, which is why it is absolutely necessary to practice programming in and out for cracking the programmer interview.
This should be done repeatedly and persistently to such an extent that attention to the smallest detail becomes ingrained into the system to a point where one does not need to consciously think about it and give attention to it. This is one of the major aspects of cracking the programmer interview.
Who is this course on cracking the programmer interview for?
- This course from Simpliv on cracking the programmer interview is meant for fresh engineers who are just out of their engineering course and are about to start a software engineering career
- It is targeted at those who from a non-programming background who want to make it in programming
- This course from Simpliv on cracking the programmer interview is also aimed at seasoned programmers who want to brush up their programming skills, so that they could come handy at an interview they might be required to attend at short notice.
This Simpliv course on cracking the programmer interview will cover the following syllabus:
- Linked lists
- Bit Manipulation
- Sorting and searching algorithms
- Data Structures
- Step-by-step solutions to dozens of common programming problems.
Don’t let the prospect of attending a job interview unnerve you! Take up this course on crack the programmer interview, and come up trumps to land the job of your dreams!
Course on Design Patterns – 24 That Matter – In Java
Design patterns are critical in Java. Design patterns are best taught, and that learning reinforced, through examples. This simple, yet powerful method of imparting understanding of design patterns Java will be taught at a course on design patterns – 24 that matter – in Java from Simpliv.
Simpliv, the ultimate platform of video libraries that offers learning on simply any course that one can think of -whether IT or non-IT, will bring this course to you at your convenience. You can take it up and complete it at your pace and level of comfort. Simpliv makes it possible for any learner under the sun, so to speak, to be able to take up simply any course of her liking, at any point of time in her life, no matter whether she is located in New York or in Nigeria.
The instructors at this course on design patterns – 24 that matter – in Java are the respectable husband-wife pair of Stanford-educated ex-Google and ex-Microsoft employees, which calls itself Loonycorn. What makes this course on design patterns – 24 that matter – in Java special and different is the emphasis on examples. This course will draw from examples at every stage and step. There will be no fewer than 50 real world examples that will dot this course.
As the title suggests, this course on design patterns – 24 that matter – in Java will cover the 24 design patterns that matter in Java, and how! It will be replete with examples that learners can associate with from their own professions or lives, and will be presented in a very fun, interactive and extremely interesting manner.
Designed for anyone from product managers to young engineers to computer science graduates to architects to tech executives to investors, this course on design patterns – 24 that matter – in Java will cover everything that goes into design patterns.
This course on design patterns – 24 that matter – in Java is designed to help engineers and coders, both those who pursue coding as a profession, and those who code for the fun of it, out of passion. The purpose of this course on design patterns – 24 that matter – in Java is to help the developer identify patterns within the program or find a design pattern that best is best suited to solve a problem. This course on design patterns – 24 that matter – in Java is also for those who will be required to use a design pattern partially.
Essentially, this course on design patterns – 24 that matter – in Java will help designers and programmers overcome the problem of being stuck in the nitty-gritty and thinking of the logical components of the code. The higher level of thinking needed for this will be a major learning outcome of this course on design patterns – 24 that matter – in Java. Because of this nature built into this course; it is useful for nontechnical persons, such as product managers, who can use the understanding of the higher-level components and how they interact with each other learnt at this course to have meaningful interactions with the engineers.
A detailed understanding of the differences between design patterns and frameworks, and their interaction with each other, will be explained at this course on design patterns – 24 that matter – in Java. In imparting this understanding, this course on design patterns – 24 that matter – in Java will derive from the seminal 1994 book on design patterns, namely, Design Patterns: Elements of Reusable Object-Oriented Software authored by the Gang of Four, consisting of Erich Gamma, Richard Helm, Ralph Johnson, and John Vlissides.
This course on design patterns – 24 that matter – in Java will cover these core design patterns:
This course on design patterns – 24 that matter – in Java will also next traverse to the area of the Model-View Controller Paradigm, also considered an architectural pattern.
So, pick up your device and enroll now! This course on design patterns – 24 that matter – in Java is going to be a terrific value add to your career!
Machine learning made easy. With Simpliv, who else!
Machine learning, despite being one of the highest paid areas of computer sciences, has gained a bad reputation for being tough on its learners. Why is this so? With due respect to the enormous contribution they have made to the field, some of the blame has to go to the practitioners and teachers of machine learning. Their making this subject esoteric has made it appear tough, while the reality is far from being so.
It is to dispel this misconception about machine learning being complex and to instill the love of machine learning that Simpliv, the ultimate platform for all kinds and varieties of IT and non-IT courses, will be organizing a course, entitled Machine Learning, NLP & Python-Cut to the Chase. This course on Machine Learning, NLP & Python is one of the innumerable courses on that Simpliv brings together about almost any subject known to the human mind together, under its video libraries. Simpliv believes that no barrier should exist to learning for anyone in this world. It seeks to bring courses of all subjects and topics to people in every part of the world, no matter what their level of formal learning is, or what their financial status or age are.
Removing the fear of machine learning
This course on Machine Learning, NLP & Python will be a solid resource for professionals and learners of machine learning alike. This course is being imparted by Loonycorn, a husband-wife team of Stanford graduates who have worked at Google, Microsoft and Flipkart. Their collective experience runs into many decades. It is this experience that you can benefit from at this course on Machine Learning, NLP & Python.
Where this course on Machine Learning, NLP & Python differs is that it will, like all other courses from Loonycorn, throw up innumerable examples. This team has learnt, over the years of being in the industry, that nothing beats examples when it comes to implanting learning in the minds of learners. Towards embedding learning, this course on Machine Learning, NLP & Python will show a real-life example that learners can start with: detecting spam in inboxes. This example will show the superiority of machine intuitive learning to other modes of learning such as rule based techniques.
This course on Machine Learning, NLP & Python will then move on the the different categories of problems of machine learning, including:
The ways by which to solve these problems will constitute the basis on which this course on Machine Learning, NLP & Python is built. It will move on to specific machine learning techniques such as:
- Natural language processing (NLP)
- Sentiment analysis
- Tree based models
- Ensemble learning
- Deep learning.
This course on Machine Learning, NLP & Python will dig into the practical aspects of how to understand and solve these problems, implementing solutions with Python.
The objective of this course on Machine Learning, NLP & Python is to help learners be able to identify problems involving machine learning and deploy the right solutions to their production systems using Machine Learning and Natural Language processing to solve problems like text classification, text summarization in Python.
This course on Machine Learning, NLP & Python is aimed at professionals in the areas of analytics, Big Data, or modeling. Learners could be either software engineers or product managers or tech executives who want to gain the knowledge needed to meaningfully and intelligently converse with their data scientists. Professionals who are familiar with statistics and could have used quantitative techniques before, but are not familiar with machine learning, will find this course on Machine Learning, NLP & Python useful.
This course on Machine Learning, NLP & Python will also help those professionals who want to phase out into more quant-focused roles or data science, or just anyone who is curious about machine learning.
Some amount of exposure and knowledge of mathematics is of use to those who want to take up this course on Machine Learning, NLP & Python.