python

 

What is Python? Executive Summary

Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built-in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms and can be freely distributed.

Often, programmers fall in love with Python because of the increased productivity it provides. Since there is no compilation step, the edit-test-debug cycle is incredibly fast. Debugging Python programs is easy: a bug or bad input will never cause a segmentation fault. Instead, when the interpreter discovers an error, it raises an exception. When the program doesn't catch the exception, the interpreter prints a stack trace. A source-level debugger allows inspection of local and global variables, evaluation of arbitrary expressions, setting breakpoints, stepping through the code a line at a time, and so on. The debugger is written in Python itself, testifying to Python's introspective power. On the other hand, often the quickest way to debug a program is to add a few print statements to the source: the fast edit-test-debug cycle makes this simple approach very effective.

python is invented by Guido Van Rossum in 1991.

why python is popular.

he python language is one of the most accessible programming languages available because it has simplified syntax and not complicated, which gives more emphasis on natural language. Due to its ease of learning and usage, python codes can be easily written and executed much faster than other programming languages.

Comparison of PYTHON with JAVA Programming Languages

Python vs Java

• In Python, there is no need for semicolon and curly braces in the program as compared to Java which will show syntax error if one forgot to add curly braces or semicolon in the program.
• Python code requires fewer lines of code as compare to Java to write the same program. 

16 Facts about Python Programming that every Geek should know

Python ranked #1 on the IEEE Spectrum list of top programming languages for 2019. Today, we’ll take up some interesting facts about python programming to better understand what makes it so popular.

Python is getting popular, almost every industry is using it. It is the advice of experts to start learning python as soon as possible. That’s why DataFlair has launched an Online Python Training Course to become you the master of Python.

Interesting facts about Python Programming

Below are the 16 most interesting facts about Python Programming that you should know –

1. Python was a hobby project

In December 1989, Python’s creator Guido Van Rossum was looking for a hobby project to keep him occupied in the week around Christmas. He had been thinking of writing a new scripting language that’d be a descendant of ABC and also appeal to Unix/C hackers. He chose to call it Python.

2. Why it was called Python

The language’s name isn’t about snakes, but about the popular British comedy troupe Monty Python (from the 1970s). Guido himself is a big fan of Monty Python’s Flying Circus. Being in a rather irreverent mood, he named the project ‘Python’. Isn’t it an interesting Python fact?

3. The Zen of Python

Tim Peters, a major contributor to the Python community, wrote this poem to highlight the philosophies of Python. If you type in “import this” in your Python IDLE, you’ll find this poem:

4. Flavors of Python

Python ships in various flavors:

• CPython- Written in C, most common implementation of Python
• Jython- Written in Java, compiles to bytecode
• IronPython- Implemented in C#, an extensibility layer to frameworks written in .NET
• Brython- Browser Python, runs in the browser
• RubyPython- Bridge between Python and Ruby interpreters
• PyPy- Implemented in Python
• MicroPython- runs on a microcontroller

5. Big Companies Using Python

Many big names use (or have used) Python for their products/services. Some of these are:

• NASA
• Google
• Nokia
• IBM
• Yahoo! Maps
• Walt Disney Feature Animation
• Facebook
• Netflix
• Expedia
• Reddit
• Quora
• MIT
• Disqus
• Hike
• Spotify
• Udemy
• Shutterstock
• Uber
• Amazon
• Mozilla
• Dropbox
• Pinterest
• Youtube

6. No braces

Unlike Java and C++, Python does not use braces to delimit code. Indentation is mandatory with Python. If you choose to import it from the __future__ package, it gives you a witty error.

7. Functions can return multiple values

In Python, a function can return more than one value as a tuple. Take a look at the following code:

This isn’t possible in a language like Java. There, you can return an array of values instead.

8. Python supports multiple assignments in one statement

Python will let you assign the same value to multiple variables in one statement. It will also let you assign values to multiple variables at once.

This also means swapping in Python is quicker and can be done in only 1 line of code:

Learn in detail about Python variables and data types

9. With slicing, it’s easier to reverse a list

If we slice a list of values from start to end but with a step of -1, we get the list right to left (reversed).

10. You can chain comparison

Conditions may contain more than one comparison at once. You can have a condition that checks whether a value is greater than another and lesser than yet another all at once.

11. String literals concatenate together

If you type in string literals separated by a space, Python concatenates them together. So, ‘Hello’ ‘World’ becomes ‘HelloWorld’.

12. Antigravity!

If you get to the IDLE and type in import antigravity, it opens up a webpage with a comic about the antigravity module.

13. Python influenced JavaScript

Python is one of the 9 languages that influenced the design of JavaScript. Others include AWK, C, HyperTalk, Java, Lua, Perl, Scheme, and Self.

14. for- and while- loops can have else statements

The else statement is not limited to if and try statements. If you add an else block after a for- or while- loop, the statements inside the else block are executed only after the loop completes normally. If the loop raises an exception or reaches a break statement, the code under else does not execute. This can be good for search operations.

Python Loops – Detailed guide

15. _ gets the value of the last expression

Many people use IDLE as a calculator. To get the value/result of the last expression, use an underscore.

16. People prefer Python over French

According to a recent survey, in the UK in 2015, Python overtook French to be the most popular language taught in primary schools. Out of 10, 6 parents preferred their children to learn Python over French. One of my favorite facts about Python programming.

To learn more about Python you can refer to our online python course designed by experts. 

What are the Reasons behind Increasing Demand for Python?

With every inch of time, we move forward, we can observe that Artificial intelligence and Machine Learning are becoming the shine on the eyes of every developer. Which is why, beginner or expert, all are driving the “popularity traffic” towards Python. This is the reason for the increase in Python demand.

As claimed by some old school coders/working professionals, there are some negative conceptions concerning the “non-serious” nature of Python. Yet still, increasing demand for python programmers seems to be at odds with this idea. For proving the same DataFlair has set down some key points.

Why Python Demand is high?

Below are the reasons for the increase in demand for Python –

 

1. Data Science

Python holds a special place in the hearts of Data Scientists compared to any available language, such as R or C++. Data Science is all about dealing with data at huge amounts (Big Data). Hence with simple usage and a large set of libraries and frameworks, Python has become the most promising option to handle it! e.g. PyBrain, PyMySQL, and NumPy are one of the big reasons. Another step forward is because of Python’s easy integration with other programming languages, making it more scalable and future-oriented.

You must learn everything about Data Science through the FREE 370+ Data Science Tutorials

2. Machine Learning

Python being an interpreted language makes it comprehensive enough for the language to be interpreted by a virtual machine against any other machine language which is what the hardware understands. It can even be used in complicated scenarios by making use of variables, objects, complex arithmetic or boolean expressions, and other concepts to make its demand and usability increase exponentially. Even the growth of machine learning has been phenomenal in the last couple of years and is rapidly changing everything around us. Algorithms are becoming sophisticated every day. Examples are: Google’s search algorithms and Uber are completely driven by algorithms. The machine learning libraries compared to Java, found more content around Python as the current preference of the developer community is Python over anything else for machine learning.

3. Web Development

While concerning backend development, Python is chosen by 2 out of 3 developers who initially worked with PHP. Python’s trend has been witnessing a steep upward in the past two years as it is serving as a better alternative. It offers so many good libraries and frameworks, e.g. Flask and Django, which make web development easy. After adopting Python some of the product based platforms have become the biggest names – YouTube, Instagram, Facebook, Google, Netflix, and Spotify. Considering the general perception towards python, in web development Python creates a more robust code that can be used to form versatile use cases.

4. Simplicity

Single yet the biggest reason for beginners to learn Python. Whenever you decide to start learning programming and coding, you don’t want to start with a programming language that is complex in syntax and tough with rules. Python is readable as well as simple. It’s even easy to set up Python; There’s nothing like classpath problems like that in Java and compiler issues present in C++. Just install it and run it! Whenever you write something in Python, you will want to show off to others as it is so elegant to look, not generally in the case with typically written languages.

5. Huge Community

Mostly decision are community influenced and when to learn something new you need a community and friends which serve as your biggest asset. Thanks to Google, many solutions to a single Python-related problem can be found out in minutes. With the progression of time, learning python has become the new “cool” in the programming community. Python has such vast use cases like development, scientific application, scripting, and so on, hence it brings many Python experts together. The more the merrier!

6. Libraries and Frameworks

Not just a framework but it has got a “superior framework”. Django is the clear winner when python’s frameworks are considered. Frameworks are easy to use, secure, and fast. Most developers prefer these frameworks, as their use results in shorter development time and ease of setup. The richer the framework, the deeper one should learn as it will translate into a lot of long-term valuable results.

7. Automation

You are required to write test scripts to automate tasks, that’s where Python comes into existence in automation. You’ll be impressed with the time and the number of lines required to write codes for tools. As python supports lots of tools and modules, it makes things easier and even highlights the power of Python. With basic python codes, one can reach the advanced level of automation easily. Software testing is one of the tedious tasks in automation and python becomes its performance booster!

8. Multipurpose

Swiss Army knife-like nature describes well the overall work of python. It’s not tied to just one discipline, you can do many things. You don’t really need to fetch data from a SQL server or a MongoDB database; Python supports all these sources of data with very clean syntax use. Python API called PySpark can be used to distribute computing. It also provides support for Natural language processing through NLTK.

9. Jobs and Growth

Python is growing as fast as it seems that everyone is adopting python. So, it makes a lot of sense to learn a growing programming language – Python. As the number of python users is increasing, the language is becoming more and more popular. It will not only help you to get a job quickly but will also accelerate your career growth. For beginners, one of the most important reasons to learn Python after simplicity is a job opportunity.

10. Salary

Last but most important – money talks! The salary keeps every individual going. Python developers are one of the highest-paid jobs available. Particularly in the fields of data science, machine learning, and web development, these jobs shine. Though much of the factors contributing to it are also dependent upon experience, location, and area of specialty.

Conclusion

With the increasing demand for programming and coding in today’s world, you are really missing something if you don’t know Python. Nevertheless, it is even a great way to start the learning experience of coding.

Python’s Future is even above the ‘C’ level!

Free Python course with 25 projects (coupon code: DATAFLAIR_PYTHON) Start Now

Imagine everything that you are surrounded by is raw, unstructured, incomplete, vast, and just Data! Python will definitely be there for your rescue! 

Python is the Future and it will serve as a huge, reliable, effective, and ready-to-use technology. What it can do for us? Well, it can play around with data, visualize the data, transform inputs into a numerical matrix, or actual machine learning and assessment.

All that needs to be done is to write the code — that would glue everything together. As simple as that!

What will be the Future of Python?

Laying some grounds on which we will define the future of Python.

How are we defining the popularity of programming language?

According to recent studies, Python showed 456-percent growth. Quite a number, isn’t it? In business terms — Netflix, IBM, Dropbox and hundreds more utilize Python as their success key!

If you want to explore Python more, you need to check how Netflix is using Python

How are we defining Python’s popularity in a specific field?

Python is and remains a stable programming language currently used not only by developers but it is considered great for deployment automation and web development. Non-developers when first introduced to the Python language and its ecosystem, also prefer it for doing data work.

Who is driving the growth till now and will drive it in the future?

With the sudden rise of demand for python and every platform becoming a “python-oriented-platform”, isn’t everything just getting “pythonized”?

First of all, man’s life chasing point – money!

For future and present programmers, Python is becoming the first-choice language for learning it to get “actual jobs”. It is also being used for many purposes, from web development to mobile app development to data science. However, Data science is attracting the mob towards Python.

Secondly, Python’s serious versatility. Python is a multipurpose language used for various tasks, as seen above. “Pandas” is by far the fastest-growing Python package. Therefore it seems clear that the rise of data science is responsible for the growth of Python as “its” programming language.

Finally, Machine Learning. There is no special programming language dedicated to Machine Learning, but looking at the characteristics of each language that can do ML, choose the best that will fulfill their needs, Python. It is one of the most popular and the best languages for Machine Learning.

Python’s growth is for now!? or this growth has some Future!!??

Trends somehow define the need and needs definitely define the actual trends. There’s no doubt that Python is now in “the trend”. All thanks to its popularity and the helpful community, Python is really friendly. Since it is so easy to learn Python, you can start your python journey at this moment itself. That is not all, it is the way it lets developers express their thoughts more simply, adds on to the “choose python!” thing.

Python in Robotics and Machine Learning

The use is not little but extensive. It is a gift to the systems originally written in C and C++ as it makes it easy to interface with Python. Anywhere that data analysis is required, Python and its diverse libraries shine.

At the end of the day, everyone is aware of how important machine learning is in the modern world. From moderating social networks to driving cars, trained neural networks are doing everything. The field has moved forward incredibly in recent years due to a quick increase in processing power. The potential for machine learning is vast, and not yet even close to fulfillment.

What has this got to do with Python?

A lot. While there are libraries designed to work with other popular languages, Python is in actuality the language of machine learning. Notably, Google’s TensorFlow works primarily with Python. Almost every course on neural networks uses Python.

Machine learning as a skill is in greater demand every day. A good grasp of the Python programming language puts you in a leading position amongst others learning it from scratch.

Python being open source

Saying Python is free may not take your interest in it at first glance. After all, the language you decide to pursue, simply using it, doesn’t actually cost anything. Python is free as in ‘Open Source’. It is entirely Open Source and GPL compatible. Open-source software has already changed the world. Python’s being a perfect tool even takes the “no-strings-attached status” to complement its use.

Python is blooming

Over the years, Python has swept into the coding world and has managed to reach the top. The survey and job research in major countries calculated that over 40,000 jobs are entirely for python experienced developers. To add on, internet search tags are also higher for python only in those countries which helped it to make it to the top! It is no wrong in saying that Data science combined with python has the best career and future complementing each other and to new heights.

Python Career Opportunities – Is it worth learning Python?

Free Python course with 25 projects (coupon code: DATAFLAIR_PYTHON) Start Now

Python Career Opportunities – Which one will you choose?

The Next Big Thing to look up to is Python and there is no doubt about that. Questions related to its worth, career opportunities, or available jobs are not to be worried about. As Python is rapidly ceasing the popularity amongst developers and various other fields, its contribution to the advancement of your career is immense.

There are reasons why Python is “the one”. It is easily scripted language that can be learned quickly. Hence reducing the overall development time of the project code. It has a set of different libraries and APIs that support data analysis, data visualization, and data manipulation.

Before proceeding ahead, you must check the Python Career Path

Python Career Opportunities

Python Career Opportunities

Number of Python Jobs

While there’s a high demand for Python developers in India, the supply is really, really low. To testify this, we’ll take account of an HR professional statement. The professional was expected to recruit 10 programmers each for both Java and Python. About a hundred good resumes flooded in for Java, but they received only 8 good ones for Python. So, while they had to go through a long process to filter out good candidates, with Python, they had no choice but to take those 8 candidates.

What does this tell you about the situation? Even though Python has easy syntax, we really need more people in India to upskill themselves. This is what makes it a great opportunity for Indians to get skilled in python. When we talk about the number of jobs, there may not be too many for Python in India. But we have an excellent number of jobs per Python programmer.

Another good news about Python career –

Not very long ago, one of India’s unicorn software companies faced a dilemma. It had won a $200 million (Rs. 1200 crore) contract with a large US bank to develop an app store for them. But the company lacked enough dexterous Python programmers. Since Python was the best language for the project, it ended up paying thrice the billing amount to a group of freelance Python programmers in the US instead.

Job boards like Indeed and Naukri offer around 20,000 to 50,000 job listings for Python and this shows that Python career opportunities in India are High. Choosing Python to pursue your career is a good choice. The below stats shows the total job postings of the major programming languages.

Trending Programming Languages – Python Career Opportunities

Types of Python Jobs

So what types of jobs can you land with Python?

Well, for one, Python scope is intensive in data science and analysis. Clients often want hidden patterns extracted from their data pools. It is also preferred in machine learning and artificial intelligence. Data scientists love Python. Also, in our article on applications of Python, we read about how Python is used everywhere in web development, desktop applications, data science, and network programming.

Python Job Profiles

With Python on your resume, you may end up with one of the following positions in a reputed company:

1. Software Engineer

• Analyze user requirements
• Write and test code
• Write operational documentation
• Consult clients and work closely with other staff
• Develop existing programs

2. Senior Software Engineer

• Develop high-quality software architecture
• Automate tasks via scripting and other tools
• Review and debug code
• Perform validation and verification testing
• Implement version control and design patterns

3. DevOps Engineer

• Deploy updates and fixes
• Analyze and resolve technical issues
• Design procedures for maintenance and troubleshooting
• Develop scripts to automate visualization
• Deliver Level 2 technical support

4. Data Scientist

• Identify data sources and automate the collection
• Preprocess data & analyze it to discover trends
• Design predictive models and ML algorithms
• Perform data visualization
• Propose solutions to business challenges

5. Senior Data Scientist

• Supervise junior data analysts
• Build analytical tools to generate insight, discover patterns, and predict behavior
• Implement ML and statistics-based algorithms
• Propose ideas for leveraging possessed data
• Communicate findings to business partners

Python Future

Python Future – Python Career Opportunities

While many top companies are stuck with Java, Python is one of the old yet trending technologies. The future of Python is bright with :

1. Artificial Intelligence

Artificial Intelligence is the intelligence displayed by machines. This is in contrast to the natural intelligence displayed by humans and other animals. It is one of the new technologies taking over the world. When it’s about AI, Python is one of the first choices; in fact, it is one of the most-suited languages for it.

For this purpose, we have different frameworks, libraries, and tools dedicated to letting AI replace human efforts. Not only does it help with that, but it also raises efficiency and accuracy. AI gives us speech recognition systems, autonomous cars, etc.

The following tools and libraries ship for these branches of AI:

• Machine Learning – PyML, PyBrain, sci-kit-learn, MDP Toolkit, GraphLab Create, MIPS
• General AI – pyDatalog, AIMA, EasyAI, SimpleAI
• Neural Networks – PyAnn, pyrenn, ffnet, neurolab
• Natural Language and Text Processing – Quepy, NLTK, genism

2. Big Data

Big Data is the term for data sets so voluminous and complex that traditional data-processing application software is inadequate in dealing with them.

Python has helped Big Data grow, its libraries allow us to analyze and work with a large amount of data across clusters:

• Pandas
• scikit-learn
• NumPy
• SciPy
• GraphLab Create
• IPython
• Bokeh
• Agate
• PySpark
• Desk

3. Networking

Python also lets us configure routers and switches, and perform other network-automation tasks cost-effectively. For this, we have the following Python libraries:

• Ansible
• Netmiko
• NAPALM(Network Automation and Programmability Abstraction Layer with Multivendor Support)
• Papi
• Junos PyEZ
• system
• Paramiko SSH

All these technologies rely on Python today and tomorrow.

Top Organizations Using Python

Top Companies Using Python – Python Career Opportunities

With its extreme popularity and powerfulness, Python is preferred by unicorns too:

1. NASA

The National Aeronautics and Space Administration uses Workflow Automation System (WAS), an application written and developed in Python. It was developed by NASA’s shuttle-support contractor USA (United Space Alliance).

NASA also uses Python for APOD (Astronomy Picture Of the Day), API, PyTransit, PyMDP Toolbox, EVEREST.

2. Google

Who, on this Earth, lives and doesn’t know Google? We use it for everything – sometimes, even to find answers to life’s deepest questions. Google uses Python for its internal systems, and its APIs for report-generation, log analysis, A/Q and testing, and writing core search-algorithms.

3. Nokia

This one reminds me of Nokia 3310, the pocket phone that could break a tile. Nokia makes use of PyS60 (Python for S60). It also uses PyMaemo (Python for Maemo) for its S60 (Symbian), and Maemo (Linux) software platforms.

4. IBM

An American multinational technology company headquartered in New York, IBM uses Python for its factory tool control applications.

5. Yahoo! Maps

Maps is an online mapping portal by Yahoo! It uses Python in many of its mapping lookup services and addresses.

6. Walt Disney Feature Animation

WDFA uses Python as a scripting language for animation. All the magic that happens in Disneyland has a bit of Python behind it.

Python Salary

These impressive salary numbers in Python are available at various job profiles too. According to PayScale, Python skills draw a salary of about $62,878 per year and more in the US. The figures get higher with increasing qualifications/ certifications and experience. It is one of the fastest-growing programming languages and the growth is steady without any threat. It has taken importance equal to that of Java, C, C++, and even more than these, currently and in the coming years. Large companies adopting Python for their server-based and small projects are boosting the demand for python.

Python Salary – Python Career Opportunities

• Software Engineer – $103,035/yr
• Sr. Software Engineer – $129,328/yr
• DevOps Engineer – $115,666/yr
• Data Scientist – $117,345/yr
• Sr. Data Scientist – $136,633/yr

Why Python?

So, after all this Python career opportunities talk, why should you learn Python? What has it to offer to you? What’s the scope of Python? Let’s see.

Why Python – Python Career Opportunities

• Its simplicity and conciseness make it perfect for beginners.
• It has a large community that continuously contributes to its development.
• Because of the highly demand-supply ratio, it provides excellent career opportunities, especially in India.
• We have several frameworks to make web development as easy as pie.
• Python is the preferred language for Artificial Intelligence and Machine Learning.
• Raspberry Pi, a microcomputer, lets us make our own DIYs with Python, at prices that do not blast holes in your pockets.
• Both startups and corporates, make extensive use of Python, thanks to its powerfulness and simplicity.
• Python has been consecutively topping the most loved programming language on the StackOverflow developers survey report.

Most Popular Languages – Python Career Opportunities

• StackOverflow survey reports showed us that Python is the fastest growing language in high-income countries. IBM used the STL model to predict the future growth of major languages in 2020 and it seems Python is going to leave everyone behind.

Future Traffic Projection of Programming Languages – Python Career Opportunities

Why is Python in demand?

According to expert research, there is a huge gap between demand and supply of python developers/experts across countries like India, the USA, and more. As a result, the available python developers are paid thrice of that of actual salaries to fill the scarcity. This is an important lesson for all those who are doubting the career opportunities with python and also lacking a good hold in python. Expertise in python by gaining experience or even through online python certification training. It adds value to your resume and all-in-all to your overall career goal.

Don’t forget to check – Reasons for the increasing demand for Python

Python Skills

After knowing all the opportunities that Python holds, it's good to know all the ins and out of it. Focus is always on skill first so that you stand out amongst others. They can be broken down as follows:

• Core Python (Basic knowledge between Python 2 and Python 3 is sufficient, complete knowledge of all modules is not required)
• Web Frameworks (Learn common Python frameworks such as Django or Pandas)
• Object-relational mappers (Ability to connect to the database with the help of ORM rather than SQL )
• Understand Multiprocess Architecture (Ability to write and manage threads for high-performance)
• RESTful APIs (understand how to use them and able to integrate components with them)
• Building Python Applications (One should know how to package up a code and deployment and release)
• Good communication and designing skills (Able to communicate well with members as well as implement servers that are scalable, secure, and highly available)

How to get a Job in Python as a Fresher? The essential steps you must follow!

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Python has changed the industry with its ease-of-use and powerful libraries, and its vast applications and productivity. Python jobs pay well and developers are in demand. And since Python is easy, many choose to go for a lucrative job in Python. Are you dreaming of a job in Python too? And wanted to know how to get a job in Python as a fresher? Let’s find out.

Can a Fresher get a Job in Python?

Yes! If you’re a fresher, you can definitely secure a job in Python. Get ready to perfect your foundation and make your dreams come true. Read on to learn how to get a job in python as a fresher.

How to get a Job in Python as a Fresher?

There are two ways to learn Python

• One is through a quick, inclusive online course, and the other will take almost a year. If you learn Python through an online course, you’ll be sure you’re not missing anything, will get more insight based on what others think, and also finish practicals and build projects.
• If you rather don’t want to spend on this, you can go for free online tutorials at your own pace. But it will not guarantee success and will be slow.

Who knows what the competition will be in a year? This is the right time to learn Python but with correct guidance. The time is not far when every other person is learning Python technology. That’s why I recommend you to master it as soon as possible and become the top of everyone.

Sharing both the ways with you. All up to you what to choose.

1. The Quick Way – Online Course

DataFlair has this Certified Python Online Course with over 20 hours of material and 5 exciting real-time projects with complete code. This will ensure you learn everything and with a practical approach. Check it out now and start learning Python.

This Certified Python Course by DataFlair is what you need. It has countless practicals and will give you a hands-on experience. Remember that you’ll need to practice along with the course; it will make you better at Python.

2. The Long Way – Online Tutorials

Now, below is the way to learn Python through online tutorials –

a. What to study?

As a fresher in Python, you should study the following things to build a strong foundation in Python.

• Python installation and syntax
• Basic concepts like statements, variables, and operators
• Differences between Python 2 and Python 3
• Data structures like lists, sets, and dictionaries
• Decision making and loops
• Virtual environments
• Functions and recursion
• OOP concepts- classes, methods, inheritance, overloading
• Modules and packages
• File handling
• Decorators, generators, iterators
• Random numbers and regular expressions
• Exception handling
• Networking, XML processing, multiprocessing
• GUI
• SciPy, NumPy, Pandas
• Debugging, unit testing, logging, serializing, accessing the database
• It is also beneficial to know more than two high-level languages.

b. Ways to Learn Python

Whether you’re beginning from scratch or not, there are a few sources where you can choose to study Python for free:

• Online Python Tutorials
• Good Books on Python
• Python Official Documentation

c. Python Projects

After you’ve finished learning about the constructs in Python, you should build some personal projects to solve the problems you face. Or, if you feel confident, you can contribute to some open-source Python projects like Django.

d. Do an Internship

If you’re in your last semester of college or are done with college, you can go for a data science internship. This will show the employer that you’re serious about Python, and will also give you some experience and exposure to the professional world.

e. Build a good resume

Build a strong resume if you want to be preferred over other candidates. List your skills and projects carefully. Mention any hackathons you’ve participated in- they show your confidence in your skills. Read this article by DataFlair to understand how to create a perfect resume for your next interview.

Check Python Job Profiles and Salary

What profiles to apply for? Or what profiles can you get as a Python techie? If you’re wondering this, we’ve listed out 10 profiles you can end up with if you go for Python.

• Software engineer
• Front-end software/web developer
• Python developer/programmer
• DevOps engineer
• Product manager
• Data Analyst/Journalist
• Educator
• Financial Advisor
• Research Analyst
• Data Scientist

In your first job with Python, you will take home around 3-5 lakhs per year. With experience, that can go up to 7-8 lakhs quick.

Who said a fresher can’t get a job in Python? If you try hard enough, you can get a Python job at a company you want. Also note that some knowledge about data science, machine learning, big data, and artificial intelligence can be beneficial for an interview and for a job itself. For a knowledge of all these technologies, you can check