The ever-evolving technological advancements describe the 21st century. And since the global economy has begun depending on digital assets and resources, it has become integral for stakeholders to understand how websites, apps, programs, and software are made.
Gone are the days when learning programming languages or coding was considered an odd hobby for savvy computer nerds.
Over the last few years, programming has progressed from a mere hobby to a professional career skill.
Additionally, programming languages have a significant influence on our world. As a matter of fact, you wouldn't be reading this article without computer programming.
There is some programming language or coding behind everything we touch or see – every word, chart, picture, graphic, layout, etc.
Programming languages are highly sought-after by every industry, not just technology. Therefore, learning these languages can give you a professional edge over your competitors.
Keep reading to find out more about the best type of programming language that can boost your academic as well as professional prospects.
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The Best Programming Languages For You
There are various programming languages for different systematic tasks to meet users' needs. Some languages are the best choice for beginners, while some are well-suited for professional computer programmers.
Those new to programming language may find its types a bit overwhelming. However, there is a massive list of different kinds of programming languages used for various tasks and development, which makes it natural for people to have diverse opinions about which one is the "best one."
Obviously, to claim a language better than another totally depends on the project at hand. However, that doesn't mean there isn't a programming language that's universally favored and popular. Among them, Python is the most valued and widespread programming language.
Since 2020, Python has become the most popular and fastest-growing programming language.
Python has outdone Java and C++ as the top programming language due to its widespread use in various business sectors, such as:
- Software development
- Programming
- Data science
- Machine learning
In this article, we will elaborate on how to learn Python, why it is so popular, and what it does.
The Versatile Programming Language – Python
Python is a highly interpreted and object-oriented programming language with dynamic semantics. It has become a standard programming language due to simple and straightforward coding structure rules, making learning very easy.
Python for beginners is a perfect doorway to professional development in technological advancement.
It's a multipurpose language used for various problems such as building websites, data analysis, software development, automated tasks, etc.
Why Learn Python? – Top Reason Why It's So Popular Right Now
Python is an accessible, easy-to-learn, and in-demand programming language with an ever-growing community of learners and users.
Python might be a great place to start for anyone who wants to switch careers into the digital tech world. From web development to data science, it's incredibly versatile.
Whether you're fascinated with the universal appeal of Python or just want to hone your web developing skills, read on to find out how to learn Python.
1. Easy-to-Learn & Beginner-Friendly
For starters, Python is a great place to start if someone is new to coding. One of the main hurdles for every aspiring coder is the overwhelming task of learning a new programming language.
However, this language contains English syntax and is easy to read, making it more accessible.
2. Perfect for Artificial Intelligence & Machine Learning
Artificial intelligence and machine learning based-projects differ from traditional software projects. They offer:
- Better personalization
- Improved search functionality
- Innovative recommendations
However, these projects tend to be time-consuming, so a concise and flexible programming tool is needed – Python features everything.
Due to its readable syntax and concise coding, the development of applications through Python is faster than other programming languages.
3. Extremely Versatile
One of the most convincing answers to the question "why learn Python?" is its versatility. It's effective across various industries such as:
- Machine learning
- Hardware programming
- Web development
- Mobile/desktop applications
Python covers different areas and aspects of software development, making it a versatile and popular programming language. Hence, you can find a job in any industry with this skill.
From deploying high-performing tools to developing web applications, Python has proved to be the best and easy-to-use programming solution.
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Kickstart Your Career By Learning Python
Whether you're thinking of becoming a professional developer or just want to start as a beginner, learning python can help you take the initial steps toward a successful career in technical development.
Budding developers often think that learning a programming language takes months or even years, but how long does it take to learn Python?
Well, it usually takes about three months to hone your skills in Python. Learning Python is more than just learning a programming language.
It's more about accomplishing practical and complex tasks to build projects.
Moreover, the amount of time it takes to learn and carry out the python tasks fully totally depends on the schedule, learning technique, and level of commitment.
Top 4 Uses of Python
Now that you have compelling answers to the question "why learn Python?" let's answer the question "what is Python used for?"
1. Data Science
Python is extremely popular among data scientists. This programming language has countless libraries like:
- Pandas
- NumPy
- Matplotlib
And these help carry out processes like data cleaning, tabular data manipulation, data analysis, and data visualization.
The main reason what does Python do in data science is its remarkable ability to analyze large sets of data quickly and carry out repetitive tasks efficiently.
Furthermore, Python is universally used in scientific research and computing. It plays a significant role in scripting, parsing data, and data analytics.
With that said, here are some of the most helpful Python libraries often used in data science:
- PsychoPy: A package to carry out the experiments related to psychology and neuroscience. It represents stimuli and collects various data in psychophysical and neuroscience experiments
- AstroPy: A collection of python packages used in astronomy
- Biopython: A collection of non-commercial python tools to carry out bioinformatics and computation in biology. It is designed to process biological sequences and their annotations
- NumPy: It's a vital python package used for scientific computing to support multi-dimensional arrays and large matrices
2. Web Development
Python has various frameworks that make it easy for developers to build complex web applications. It's a universal and efficient programming language that provides dynamic typing and coding capabilities.
Frameworks of Python such as Django, pyramid, flask, etc., lets developers create highly scalable websites and scientific applications, graphics, and games.
These frameworks have been used to create some known and high-end sites such as Mozilla, Spotify, and Reddit.
An extensive collection of libraries with Python frameworks such as content management, data authorization, data analysis, and database access make web development easier.
3. Data Visualization
Data visualization is perhaps the most utilized area of interest in Python. As an open-source programming language, Python provides countless graphic libraries that allow users to create customized, interactive, and functional plots.
Python offers different graphic libraries such as Panda and Plotly to transform data into creative insights.
4. Scripting
Yes, we were surprised too! Python isn't just limited to programming and coding – it can be significantly used as a scripting tool.
The feature that makes programming language different from scripting is that programming requires compilation.
Using Python, the codes are directed, written in the script, and executed directly. The machine proofreads and interpret the codes and performs error during check-time.
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Get Ready to Learn Python – Python for Beginners
The fundamental understanding of Python will give you a competitive edge over other developers.
Python is filled with countless libraries and codes to learn, but its syntax makes it relatively easier than other programming languages.
In addition, the readable syntax and easy-to-learn codes are easy to cipher through and contribute to a streamlined and innovative coding experience.
No matter what industry you choose, Python has its reward in every field. We hope this article has convinced you to get a grip on Python. So the next time anyone asks, "why Python?" you have a comprehensive answer.
In a python course offered by Superprof, you'll learn the basic concepts like libraries, frameworks, dictionaries, and plots, which are mandatory for data-focused learning.
Organizations are looking for data-driven coders and developers, and Python provides all the right skills that you need to become that.
Python is one of the easiest yet in-demand programming languages that helps in data analysis, resolving complex projects, data management, and much more.
To kickstart your career, sign up for an online course in Python offered by Superprof. With 7000+ experienced Python tutors providing the first lesson absolutely free, you can learn what it requires to become a professional Python developer!
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