An Ultimate Resource To Learn Python Programming Easy Way In 2020 | Simpliv

For anyone serious about pursuing and growing in a career in IT, a basic question that roils the mind is this: which is the best programming language to learn? Most people who want answers to this question tend to get slightly confused, because they would have heard about multiple languages, such as JavaPythonPHP, etc. It is in selecting that one truly apt programming language to learn that the challenge lies.

Even learners who are fully aware of the benefits of most programming languages are in a fix about choosing the one language they should learn, and also about the best ways to learn a programming language.

It is very important for the students to make the right choice from the start as it will take a lot of time and effort to master any given programming language. While selecting any programming language to learn, students need to consider few aspects such as:

  • The difficulty level of a programming language you are willing to learn
  • The skills you already know that align with a programming language
  • Reasons you want to learn a programming language.

Every programming language has its advantages as well as disadvantages. A language that is perfectly suited for developing a certain types of applications  might not fit for developing other types.

So, keeping the debate aside of which programming language is good to learn among all, here in the following discussion we will focus towards understanding what is Python programming language and what are its benefits. At a later stage of this blog, we will discuss different reasons to learn Python.

In the upcoming discussion we will focus on the following topics:

  • What is Python?
  • Python 2 VS Python 3
  • History of Python
  • Features of Python
  • Reasons to learn Python in 2020
  • Advantages of Python
  • Applications of Python.

Initially, let us discuss what is Python

What is Python? This is one of the most asked questions  these days in the technology space. The answer is, Python is one of the powerful programming languages that is high-level, open-source, and most commonly used for web development, scientific and mathematical application development, etc.

One of the great advantages of this programming language is it provides excellent library support and has a large developer community. It also provides easy integration with web services and GUI-based desktop applications.

“Did You Know? Python is one of the 9 programming languages that influenced the design of JavaScript”.

Python is fast, easy-to-use and the most preferred programming language for developing projects by many companies such as YouTube, Instagram, Pinterest, and Quora, etc. Because of its excellent features, Python is considered an easy to learn programming language for beginners and is also sophisticated enough for experienced professionals to use.

Apart from web development and desktop app development, Python is extensively used in the Data Science field and is used for developing Machine Learning projects. Because of its huge popularity, many IT professionals are learning this programming language to build their career as a Python developer.

Python 2 v/s Python 3

Having understood what is Python, let us start exploring the different versions of Python, such as Python 2 and Python 3. Later we will look at the major differences between them.

Python 2: Python 2 has been the more popular version. This version released in the year 2000 and made the code development process very easy compared to its earlier versions. Python 2 is a more transparent and inclusive language development process than its earlier versions.

Python 2 has implemented technical details of Python Enhancement Proposal (PEP). Python 2.7 or Python 2.7.20 is the last version of Python 2 and is no longer under development and in the year 2020, it will be discontinued.

Different versions of Python and their release dates are as follows:

  • Python 2.0 – October 16, 2000
  • Python 2.1 – April 17, 2001
  • Python 2.2 – December 21, 2001
  • Python 2.3 – July 29, 2003
  • Python 2.4 – November 30, 2004
  • Python 2.5 – November 19, 2006
  • Python 2.6 – October 1, 2008
  • Python 2.7 – July 3, 2010

       Image source: Guru99

Python 3: Python 3 is an improved version. It was released in the year December 2008. This  version was released with the aim of fixing the errors that existed in Python 2. Many companies are switching towards Python 3 version. This version provides huge library support.

Different versions of Python 3 and release dates are as follows:

  • Python 3.0 – December 3, 2008
  • Python 3.1 – June 27, 2009
  • Python 3.2 – February 10, 2011
  • Python 3.3 – September 29, 2012
  • Python 3.4 – March 16, 2014
  • Python 3.5 – September 13, 2015
  • Python 3.6 –December 23, 2016
  • Python 3.7 – June 27, 2018
  • Python 3.8.1 – December 18, 2019.

Some of the key differences between Python 2 VS Python 3:6

The above description provides you some valuable information about the major differences between the Python 2 and Python 3 versions. Before you choose a particular version of Python to develop your project, it is recommended to be well aware of all the available packages you need or you want to use because both these versions have similar kinds of syntax but they are not entirely compatible.

Read here to continue in depth brief history of Python


Machine Learning with Python course


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Learn to use Python, the ideal programming language for Machine Learning, with this comprehensive course from Simpliv. Gain expertise in core areas of Python and Machine Learning, such as algorithms, model evaluation, supervised vs. unsupervised learning, reinforcement learning, neural networks, k-nearest Neighbor Classifier, Naive Bayes Classifier, and lots more. Become a complete Machine Learning and Python pro. Our experts will show you how to use your knowledge of Python to learn to use it for Machine Learning. All you need is basic knowledge of Python. Our course will take it up from there and make you an expert.

Who is the target audience?

Programmers, Developers, Technical Leads, Architects, Freshers,Data Scientists, Data Analysts,Business Intelligence Managers.


Basic knowledge:

There are no hard pre-requisites. However, basic understanding of Computer Programming terminologies is beneficial.


Python Introduction

  • Introduction to Python
  • Core programming concepts
  • Objects in Python
  • Visualizations in Python
  • Packages in Python
  • Matrix operations
  • Dataframes


Machine Learning

  • Data Pre-processing
  • Regression
  • Classification
  • Clustering
  • Association Rule
  • Natural Language Processing


Price:  ₹ 16665    ( Enroll Today and Get Flat 40% OFF )

New Batch starts from 7th Jan 2019 Days: Mon-Fri (10 Days) 07:00 PM – 10:00 PM (IST)

Contact Us:

Simpliv Services India Pvt Ltd


Phone: 7676008458


Phone:  9538055093

To Enroll Click Here:


Cracking the programmer interview

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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

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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.

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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:

  • Pointers
  • Strings
  • Linked lists
  • Bit Manipulation
  • Sorting and searching algorithms
  • Recursion
  • 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

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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.

The course

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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.

For whom?

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.

Learning objectives

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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.


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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!

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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

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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:

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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
  • Recommendations
  • 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.

Learning objectives

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.

For whom?

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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.

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