Python Career Guidelines: How To Become A Python Professional?

One of the familiar questions that we read these days on platforms such as Quora is: how do I become a professional Python programmer?

Yes, today many IT professionals are willing to pursue their career as Python programmer.The reason for the rise in such trend is because Python is emerging as the one of the most powerful programming languages of the present IT world.

Today we can see that more and more companies are relying on Python to develop their software projects across different industries. This programming language is being used in various fields such as Artificial Intelligence, Machine Learning and Data Science etc.

These are some of the factors that have led to offered huge career opportunities for young aspiring professionals across the world.

Source: Stack Overflow

We have also observed that many young IT professionals are looking for a right career guide that would help them to become a Python professional. Sowith an aim to help all such people all we are presenting here this blog to discuss a career guideline to become Python professional.

If you are new to the world of Python and are willing to learn it then we recommend to look into these online courses that contains a library of Python course that help you to learn this programming language efficiently.

In this blog, I will be covering the following topics.

  • Why Learn Python?
  • What are the career opportunities related to Python programming?
  • Top companies using Python Programming
  • Where Python developers can find jobs?
  • How Simpliv can help You to become a Python professional?
  • 5 Key Takeaways

Why Learn Python?

Python is a general purpose, object oriented, easy to learn programming language. There are many reasons why one needs to learn Python. Some of them are as follows:

  • Python supports Object-Oriented programming language
  • Python follows a easy syntax and hence has a simple coding structure
  • Python is considered as an easy programming language to learn for beginners
  • Python supports set of different libraries and API’s that will help the developers to build the software applications easily.

Now let us see some of the career opportunities of Python Programming.

 

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Learn Python Programming Fundamentals: A Beginner’s Guide [Updated 2020]

Python is one of the powerful, high-level, easy to learn programming language that provides a huge number of applications. Some of its features, such as being object-oriented and open source, having numerous IDE’s, etc. make it one of the most in-demand programming languages of the present IT industry.

According to TIOBE index, as of January 2020, Python is one of the popular programming languages. By looking at the popularity of this programming language, many IT professionals, both beginners as well as experienced alike, are willing to build their career as a Python developer.

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Image source

Many people have daunting questions like:

  • How one can start to learn Python?
  • What are the fundamental concepts you need to know to learn Python?

With an aim to help similar concerns, Simpliv is presenting this blog to discuss about the various fundamental concepts of Python programming and take you along to start writing Python programs on your own.

Before proceeding further, at this point, we would like to suggest that you read blog (first blog in this series) on introduction to Python programming language.

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Without further ado, let us quickly look at the topics we will be covering in this blog:

  • How to install Python
  • Basic syntax
  • Python identifiers
  • Python reserved words
  • Indentation
  • Quotations in Python
  • Comments in Python
  • Using Blank lines
  • Constructs
  • Python Variables
  • Python Data Types.

Let us look at the 8 Steps to install Python

Let us start by learning the steps to install Python. The following are the steps need to be followed while installing Python on Windows:

Step 1:

Download python.exe or zip bundle from Python official website https://www.python.org/downloads/windows/.

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Step 2:

Select Downloads and download python.exe file for Windows.

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Step 3:

Once the installer is downloaded, run the Python installer. Check on Install launcher for all users.

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Step 4:

Select Customize installation. Check on all settings Document, pip, tcl/tk, python test suite, py launcher, for all users. Click on Next.

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In detail to learn more about Python Fundamentals Read Here : http://bit.ly/2Sz4XRI

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 http://bit.ly/2SnXvbW

pythoninfographic

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Simpliv is a global online learning marketplace that transforms lives by offering online training on a wide variety of topics. Created with the aim of making education accessible to all, Simpliv removes barriers to education among all communities, imparts life skills to learners, and bridges gaps in learning through cost-effective courses.

Simpliv believes that learning has no boundaries. It brings learning to any person who wants to learn, whether it is management, technology, life sciences or any other subject of interest.

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Simpliv is a global online learning marketplace that transforms lives by offering online training on a wide variety of topics. Created with the aim of making education accessible to all, Simpliv removes barriers to education among all communities, imparts life skills to learners, and bridges gaps in learning through cost-effective courses.

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Simpliv is a global online learning marketplace that transforms lives by offering online training on a wide variety of topics. Created with the aim of making education accessible to all, Simpliv removes barriers to education among all communities, imparts life skills to learners, and bridges gaps in learning through cost-effective courses.

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Artificial Intelligence and Big Data

Which factors help the organization to transform their business? Which technologies help them accomplish them to achieve their business goals? The answer should be Artificial Intelligence and Big Data.

Both Artificial Intelligence (AI) and Big Data are the two new emerging technologies of this modern tech-driven world. Artificial Intelligence has been in existence for a few decades, but Big Data has emerged just a few years back. These two technologies, when combined together can prove to be very powerful and help the organizations to analyze customer interests and provide them the best services.

Let us now understand both these technologies in brief.

Artificial Intelligence:

Artificial Intelligence is a branch of computer science which aims to create intelligent machines. It can also be understood as the ability of a computer to perform tasks that are similar to  those of human learning and decision making.

The applications provided by this technology are endless. This technology can be applied to many different sectors and industries. Looking at the benefits provided by this technology, many companies are willing to adopt AI technology into their business.

The fact that around 83% of businesses say that AI is now their strategic priority for their business is an indication of the extent to which AI is valued by businesses. The market of AI is also growing continuously. According to research firm Markets and Markets, the AI market will grow to a $190 billion industry by the year 2025.

Big Data:

Big Data refers to data with a huge size. Big Data is the term that describes a large amount of data – both structured and unstructured. This data is available from different sources such as from social media, blogs and comments, YouTube videos, email, etc.

Types of Big Data: Big Data can be found in three different terms:

  • Structured
  • Unstructured
  • Semi structured.

1) Structured: The data that can be stored, accessed and processed in the form of fixed format is known as structured data.

2) Unstructured: The data with an unknown form or structure is known as unstructured data.

3) Semi structured: Semi structured data contains both structured and unstructured data.

Artificial Intelligence and Big Data can work together

Both Artificial Intelligence and Big Data together are contributing to the growth of many businesses across the industries. Today, many organizations are relying on the meaningful insights obtained from Big Data for their business growth. To meet their business demands, organizations are considering  using Artificial Intelligence and Machine Learning techniques that help to stay ahead of the competition.

Organizations believe that AI will bring about a revolution into their organizational data. Artificial Intelligence involves Machine Learning techniques through which machines send or receive data and learn new concepts by analyzing the data. Big Data helps the organizations in analyzing their existing data and in drawing useful information from the same.

Combining AI and Big Data can be very advantageous for companies. As they both together provide meaningful insights immediately and accurately, this approach can be adopted across all industries.

Conclusion: We believe that this guide has been successful in providing you the information about both AI and Big Data technologies. These two technologies are working together to provide all the valuable aspects required for organizations to serve their customers in a better way and hence enhance their business.

If you are willing to learn these two technologies in detail then you can visit this link that contains all the valuable information required to master these technologies.

If you think some more information needs to be added to this blog, then please send your feedback in the comment section.

 

 

 

 

 

Top Technology Trends for 2020

There are some technology trends that fizz out over time and then there are the latest technology trends that stay on the sidelines and then gain traction after it either gets major funding or an industry suddenly integrate it in their process.

There are many such technologies that have already made their prominent mark in 2018 and are only a few more applications away from becoming mainstream. Those are the ones that we have listed as the upcoming and latest technology trends that would become trending by the year 2020.

Without further ado, here are the ten technology trends for 2020 –

1. AI

Artificial Intelligence has been continuing to make its place in the list of top technology trends since quite some years. And now has found a place in 2020 technology predictions as well.

Computers are now capable of learning about the world in the same way as us humans. This leap that AI capabilities have been possible because of the enormous increase in computing power and data. It’s this phenomenal explosion in data, which has enabled AI to advance at a lightning speed since the past couple of years; greater the data an AI has, the faster it would be able to learn and more precise it becomes.

The speed at which AI is growing will prepare it to undertake more human tasks by 2020.

AI

Its present-day tasks of enabling computers to read (studying messages and reports), see (through facial recognition), listen (by enabling Amazon Echo to answer your command), speak ( Siri being able to give you an answer) and even record emotions (through affective computing) will help AI become a technology that no longer needs human intervention to aid its learning.

2. NLP

In a year or two, Chatbots would have reached their market potential, with the majority of the businesses employing them to redefine their customer engagement policies. However, by 2020 chatbots would reach a whole different level with the integration of NLP.

NLP

Computers, apps, and devices will now be able to understand the true meaning behind what is said. Sarcasm, puns, and double meaning contexts will be clear to the upcoming technologies with the help of NLP.

And users will now be able to ask of things in their natural way of talking and not in words that are “right” for machines and software to understand. The complex algorithms that would go behind it, will be based on millions of computations and predictions that would be generated by mixing AI with all conversations happening between humans and their software/ device.

3. Blockchain

The rate at which Blockchain is growing has placed it at a pivotal point in the list of top technology trends 2020. Blockchain technology is definitely here to stay. While prevalent in only a handful of industries right now, by 2020 the world will see its mass adoption.

Blockchain

A number of new elements and processes will be added in the present day’s most disruptive technology. While there is a fair chance that ICOs won’t stick around that long as might see a fast death because of the stringent regulations.

Cryptocurrencies, the important Blockchain element, will also find itself divided in a number of currencies and would be floated in the market just like fiat currencies. People who are currently unaware of what Blockchain and Cryptocurrencies and where they can spend them, will start doing their everyday transactions with them.

4. IoT

IoT has been finding itself in the list of up and coming technologies to look out for, since the past many years and now again in the list of the year 2020 technologies.

Although it has been a little slow in connecting devices and home with each other for quite some time, the future presents a different story for IoT altogether. Pretty much everything would be made smart in the coming time.

IoT

While still a handful, it is projected that by 2020, a quarter of billion cares will get hooked by the internet, making them much smarter.

Our homes that already have a series of smart products such as TVs, water heaters, microwaves, yoga mats, and the voice-enabled personal assistants like Amazon echo, etc. Will find a series of new entries in only a matter of time.

There are already a lot of devices, but the IoT is only getting started. IHS has predicted there’ll be over 75 billion total connected devices by to support the arrival of the technology in 2020.

5. 5G

By the time 2020 comes, the world would be under the spell of fast internet connection and all the various perks that come attached with it.

5g will find its place in the market very soon, bringing with itself benefits such as high internet speed, lower latency, and higher capacities. The benefits that will make it one of the prime future technological trends in 2020 and beyond.

5G

The benefits would make it possible for autonomous vehicles and wireless VR to work with minimal technical hesitancies. The benefit of 5G would be two-fold. Not only would it enrich the user experience by offering higher data rates when we talk by VR or AR, but it will also be much safety favoring, which is where latency point comes in.

But just how fast would 5G be? It is anticipated that when it takes 26 hours for a movie to download in a 3G network, in 5G the time would reduce to 3.6 seconds.

6. Automation

Automation has moved ahead from its involvement in the production lines. There are a number of ways automation will create its presence around us by becoming one the most awaited new technologies of 2020.

From packaging juice boxes to delivering pizza in self-driving vehicles, automation is fast climbing the food chain from doing routine tasks to a lot more complex, decision-making tasks.

Automation

Mixed with Robotics, Machine Learning, and Artificial Intelligence, processes across multiple industries like Food and Beverage, Medical, and Customer Service will become further streamlined and automated by the time 2020 hits our doors.

So here were the ten latest technology trends that are going to see mass adoption before we hit 2020. Are you ready for them?

7. RPA catches a second wind: 

Robotic Process Automation isn’t new, and is widely considered to be the lowest hanging fruit on the AI tree, but it is nevertheless a very hot topic at every tech and manufacturing conference I have attended in the last eight months. Attended RPA leads the way but as interest and investments continue to grow, and RPA proves itself trustworthy, I believe that 2020 will be a very big year for RPA investments, just as 2019 was with money being poured into companies like Automation Anywhere, UiPath and Blue Prism. Also, enterprise companies like Cisco are already using RPA to help create wiggle room to upskill and augment the value of their existing workforce, and that model is certain to quickly grow into a winning formula. (Smart companies: take note.)

8. Voice

We’ve seen developments in voice technology in the past like Siri, Alexa, and others, but they have often fallen short of human expectation – or are even usefulness in daily life.

Voice is a medium that tends to be organic and free-flowing, something not easily translated into digital technology. As AI and computer learning programs grow in the next decade, expect voice interpreting and voice creating software to move through its current uncanny valley and into a more human-paralleled realm.

In the near future, Voice commands and voice assistants will prove even more useful to our daily lives, muddying the line between the human-technology interface. As these industries’ underlying technology gets better (AI, Voice processing, Machine learning), it will only be propelled into greater technological significance.

In the realm of voice technology, one specific aspect on the cutting edge is Neuro-linguistic programming. Called NLP, this realm of programming would allow computers and systems to understand the true meaning of voice. This new programming language of sorts would give computers an understanding of underlying human tone, sarcasm, pun, and even deeper context clues like double meanings.

9. Analytics

Analytics are playing an increasingly important role in the growth and measurement of companies across the world. Not only can analytics tell you if you’re successful in your market, but they can help you predict where the markets will move next.

Analytics, while seemingly simple on the surface, actually involves a significant amount of data processing to turn large chunks of raw data into something actionable and useful.

With cloud computing, IoT, and big data growing, data is getting murky and clouded. Analytics tools utilizing machine learning will be needed at a far greater extent than currently implemented to make sense of the data, identify issues, and even recommend action.

In essence, analytics is one specialty that AI and machine learning technologies will be particularly useful in. Analytics will be the perfect use case for many of the next decade’s emerging tech.

 

10. Extended Reality

Extended Reality (XR) is a catch-all term that covers several new and emerging technologies being used to create more immersive digital experiences. More specifically, it refers to virtual, augmented, and mixed reality. Virtual reality (VR) provides a fully digitally immersive experience where you enter a computer-generated world using headsets that blend out the real world. Augmented reality (AR) overlays digital objects onto the real world via smartphone screens or displays (think Snapchat filters). Mixed reality (MR) is an extension of AR, that means users can interact with digital objects placed in the real world (think playing a holographic piano that you have placed into your room via an AR headset).

These technologies have been around for a few years now but have largely been confined to the world of entertainment – with Oculus Rift and Vive headsets providing the current state-of-the-art in videogames, and smartphone features such as camera filters and Pokemon Go-style games providing the most visible examples of AR.

From 2020 expect all of that to change, as businesses get to grips with the wealth of exciting possibilities offered by both current forms of XR. Virtual and augmented reality will become increasingly prevalent for training and simulation, as well as offering new ways to interact with customers.

 

11. 3D Printing

If your job involves design, you may soon find yourself with a 3-D printer on your desk. The technology creates 3-dimensional objects by adding material, such as plastic, layer-by-layer, based on a computer generated design until an object has been formed.

It allows designers to quickly prototype concepts right at their desks, meaning faster prototype iterations and a better chance they’ll catch design errors earlyon. It also means they can create custom objects — such as prostheses — much cheaper than conventional manufacturing.

 

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