Beginners Guide to Python Programming

Beginners Guide to Python Programming

Python is a general-purpose, high-level interpreted language with easy syntax and dynamic semantics, created by Guido Van Rossum in 1989.  With the rise of Data Analysis and Visualization, Machine Learning and Artificial Intelligence, Python has come into the spotlight because it makes the work much more productive and easy.

It is the world's highest developing as well as the most popular programming language, not just with software engineers, but also with mathematicians, data analysts, scientists, accountants, networking engineers, and also kids.

As a result, people from diverse disciplines use Python for a variety of different tasks.


Why Python? 

If you frequently have to do recurring tasks, such as replication of files and folders, renaming them, uploading them to a server, you can effortlessly compose a Python script to automate every part of that task and save your time, and that's just a single case.

If you constantly have to work with excel spreadsheets, PDF's you can automate each and every one of that with Python. So you don't really have to be a software developer to make use of Python, you might be an accountant, a mathematician, or a scientist, and apply Python to make life easier.

You can also utilize Python to create web, mobile and desktop applications as well as software testing or even hacking. Thus Python is a versatile language. Python makes many trivial things very easy by a simple yet great syntax. 


Features of the Python

(1) Easy Syntax: Its easy syntax features make it one of the best languages for anybody to get started off with programming.

(2) Simplicity:  Python has made programming fun because it's simple and it makes you think more for your solution rather than the syntax

(3) Open Source:  It is free for anybody to use.  Every day there are thousands of programmers who come together online and make Python better and efficient. Modifications to Python are also allowed; one can modify the code, break the code and make the code without any problems. 

(4) High Level: Programmer does not need to be concerned about complex tasks such as memory management as Python is a high-level language.

(5) Cross-Platform: Programmer can build and run Python applications on Windows, Mac, and Linux.

(6) Huge Community: It has a huge community so whenever you get stuck; there is someone out there to help. For example, machine learning algorithms are already available and you can use them to obtain in your solutions better.  

(7) Large Ecosystem: It has a large ecosystem of libraries, frameworks and tools which means whatever you want to do it is likely that someone else has done it before because Python has been around for over 20 years. 

(8) Applications: Python can be used to make almost anything desktop/web/ mobile application development service code in Artificial Intelligence and Machine Learning algorithms

(9) Portability: Supports portability which means that you can write your code and share it with anybody you want to and it would work the same way as it did for you when you ran the code.  This makes movements of projects and systems much easier.

(10) Embeddable and Extensible: Chances are that certain languages uniform certain functions better than Python but that does not stop us as Python supports adding code of other languages to itself to run those functions which make Python even more powerful.

(11) Interpreted: Python is interpreted line by line which means that the management of memory and CPU and debugging of the code is much simpler.

(12) Huge Libraries:  Python has huge library support which would help you to obtain solutions to your problems easier. You can get started off with Data Science, Web development on the go with Python, how developers make applications that are so well related to a domain is because of the object-oriented concepts Python supports, OOPs meaning that you can model a real-world problem into your code and have security for it such that the access to them is restricted which helps you replicate real-world scenarios.


Technically all the things a programmer does with Python can be done using other programming languages, however, Python's ease and elegance have made the language develop more than other programming languages. Thus it is the number one language employers are looking for. Therefore whether you are a programmer or an absolute beginner, learning Python bring in plenty of job opportunities.


Python's Uses in the Industry

  • Raspberry Pi: The single-board computer support Python as its instructive language.
  • Google: The most known tech giant who uses Python to provide better search features to its users.
  • Youtube: The video-sharing method is basically written in Python.
  • Dropbox: It is a cloud platform to save data online, its client and server applications have been coded using python.
  • Netflix: Uses Machine Learning with Python to learn the taste of its users, cluster them into groups and recommend them to shows to retain them for longer.
  • National Security Agency: Uses Python for Cyber Security Analysis and encryption and decryption purposes.
  • BitTorrent: The application which is used for the transfer of files between peer to peer which started out as a normal Python file
  • NASA: Uses python to perform scientific calculations which helps them reduce time and make their work easier.


Python Learning Path

a) Variables, data types and operators:  Helps you understand data and the different data types that you can use such as numeric, lists etc., naming data and performing operations which can help you to obtain logic for simple addition and subtraction and so on.

b) Arrays:  Used to store data in a structured manner.

c) Flow Control:  Understand the working and how you can manipulate it using loops such as the for loop, while loop and conditions which are the if-else statements.

d) Methods:  Basically learn methods used to perform certain functions which can be as simple as adding numbers to perform the most complex work that you can think of.

e) File Handling: Learn to read data from files and write data to the files.

f) OOPs: Helps understanding classes, objects and its importance.

g) Practice Programming: Practicing programming is what makes one better at it.


Career Opportunities

Here are some of the fields that everybody wants to get into and it is clearly one of the jobs that looks like it would have a long life cycle.

1) Python Consultant: Responsible for providing application improvement services by coordinating with business analysts, module developers etc.

2) Python Developer: Develop back-end components, link up the application along with web services, and backing the front-end developers by integrating their work with the Python application.

3) Machine Learning Engineer: Complete development of ML algorithms in Python. 

4) Artificial Intelligence Engineer: Design, test, and execute AI models, as well as the handling of the AI infrastructure.

5) Web App Development and Frameworks: Choosing frameworks such as DJANGO and EXPRESS create web applications.

6) Web App Testing: Report bugs and make sure that the website works is needed.

7) Game Development:  Create AI Enemies & Friends and Graphic textures accordingly. 

8) Big Data Analysis: A booming field which can be used to obtain data helpful to make decisions and help take risks for better profits.

9) Data Scientist: Systematic professional who make use of their skills equally in technology and social discipline to discover trends and manage data.

10) Smart Devices:  IoT devices and another place where you can use Python and build better infrastructure for connecting the world.


If you have a desire to earn big and obtain an empowered future learn python programming which is a multi-purpose language with a simple, clean, and beginner-friendly syntax. You will grasp it with no trouble and will be able to utilize the skills to set down an amazing profession in the rising data science industry. The call for python programmers gets bigger with the applications for machine learning that is rising every day.


Now that you have a basic understanding of python programming, check out the various Python Certification Courses offered through Skill At Will

Got any questions? Let us know in the comments below.

Written By


Rini is an auto, technology enthusiast who has majored in Automotive embedded systems. Currently, she is working as a technology career counsellor at Skill At Will to help individuals identify their career paths in tech and help them build a better career. She enjoys enlightening others through her technology blogs and articles.


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