Table of content
- Overview of Python Programming Language
- What is Python?
- Features of Python
- Uses and Applications of Python
- Advantages of Python
- Disadvantages of Python
- Frequently Asked Questions (FAQs)
- Prototype-based instead of class inheritance
- Users can submit valid data to the client side during submission through client-side validations
- Functional programming support
- Objects that can inherit properties of others
- Presence of control statements like loop and switch case
- Functions, keywords, variables, and names are case sensitive
- Object shorthand allows developers to save space and time
- Users can add dynamic HTML content
- Web applications
- Web development
- Game development
- Web servers
- Server applications and others
Overview of Python Programming Language
Let’s dig into the definition, features, advantages, and applications of Python.
What is Python?
Python is a high-level object-oriented programming language created by Guido van Rossum and used in creating a myriad of computer programs. It’s one of the most widely-used, beginner-friendly programming languages out there and is extremely popular among developers of all expertise.
Aside from using it to build websites and software, developers can also use Python to run data analysis and automate certain tasks. It has no specific specialty and has a wide range of uses. This multifacetedness is why other professions, such as accounting and the sciences, apply Python to their tasks.
Features of Python
Python is one of the most used programming languages and for good reason. The following are features of Python that make it attractive to developers:
- A simple, human-like syntax that makes it easier to read
- It can be used to create Graphical User Interface (GUI)
- Extensible and embeddable in other languages
- Open-source and free to download and use
- Supports object-oriented programming, functional programming, and structured programming
- High-level language that’s easy to understand compared to middle-level languages like C
- Large code library that includes modules and packages
- It can run cross-platform, removing the need to write separate code for each platform
- Popular with an extensive community support
Uses and applications of Python
Python can be used in various professions and has been known to carry out varying tasks. Below are some uses and applications of Python:
- Backend web development
- Everyday tasks
- Software prototyping and testing
- Scripting or automation
- Machine learning and data analysis
Backend web development
In web development, Python is used to develop an application or website’s backend. Python ensures the product’s security, routes URLs, communicates with databases and processes data. It also sends data to and fro servers.
The usefulness of Python as a programming language goes beyond building websites and software applications. In some professions, python is used to make jobs easier, quicken the completion of tasks, assist with data processing, and many more things.
Some of the everyday tasks Python can automate are converting text to a spreadsheet and vice-versa, renaming large batches of computer files, stay on top of crypto and stock prices. It could even help you assign tasks to family members at random.
Software prototyping and testing
Just like how Python can automate everyday tasks, developers can also use the programming language to automate software testing to test new features in an app or to test a product they’re building. Also, python is used for tracking bugs and build control.
Scripting and automation
In software development, Python is often used to automate mundane development tasks. The developer writes the script (the scripting process) for running such a task using the Python language, and the task becomes automatic once all criteria have been met.
Machine learning and data analysis
Python has become a staple in the data analysis and machine learning world. With Python, data scientists can analyze and manipulate data, carry out complicated statistical calculations, and visualize data with 3D plots, histograms, bar charts, graphs, etc.
Advantages of Python
Python has some advantages over other languages and within itself, including
- Beginner-friendly: Python is a beginner-friendly language mainly because of its syntax. It’s written in everyday language, making learning easier for students. That’s why schools like to start with Python when teaching a programming class to their students.
- Code less, achieve more: With Python, there’s no need to spend time trying to understand how the language behaves. It’s pretty simple to read, write, and understand, allowing you to write less code to increase productivity and achieve more than other languages.
- Interpreted language: Python carries out a line-by-line execution of code. Whenever there’s an error, it stops executing and flags that error, making debugging easier since the developer can stop, resolve problems one at a time, and move on.
- Free to use: Anyone can download, use, modify, and republish their version of Python without repercussion. It’s open-source, meaning it’s free to download the source code and use it for your projects.
- Extensive library: Python has a large standard library where you can find any function you need to build. And it keeps growing, thanks to its developer community that continually updates the community with new insight.
- Cross-platform compatibility or portability: Python’s portability allows you to write and run one Python code for other platforms. Whereas with other languages, you’ll need to write a different code for it to work.
Disadvantages of Python
From the features, definition, use cases, and benefits, it’s easy to want to choose Python over others. But you should know about the disadvantages of Python before committing. The following are the disadvantages of Python programming language:
- Runtime error: Python interprets the code dynamically. Hence, runtime errors can occur in the future in instances where a variable contains integers holding a string. A solution can be to thoroughly test the program for these errors.
- Problems with database access: Interacting with the Python database can be problematic. Its access layer still stands grossly underdeveloped and primitive, especially compared to other technologies.
- Mobile computing is weak: Python’s slow processing power and lack of memory efficiency make it a poor candidate for building mobile applications or developing the client side of applications. That’s why it’s mainly used for backend, server-side programming.
- High memory usage: Using Python is simple and treats everything as an object, but this causes many objects to be active during execution, leading to massive memory consumption. This lack of memory efficiency makes it a poor choice for applications or software requiring low memory usage.
- Not suitable for speed: Due to Python’s dynamically-typed and interpreted nature, developers will experience slow execution of code because Python does a line-by-line execution. Even though this might be great for clean and thorough debugging, it slows down the process and is hence, not a good fit for projects requiring faster speed.
|Speed||Slower, due to dynamically-typed and interpreted code||Faster speed|
|Ease of learning||Syntax is English-like and is easier to understand||Not as easy as Python|
|Encoding format||Uses ASCII as default||UTF-16|
|Implicit conversions||Unsupported but allows strong and dynamic typing||Supports implicit data type conversion; hence, weakly types|
|Mobile and web development||Python web apps take a longer time to respond||JS web apps are faster|
|Client-side vs. server-side||Best for server-side||Best for client-side|
When making your choice, ask yourself these questions:
English and German
However, all that wouldn’t matter because you’ll need a project-specific language, whether you’re visualizing data, processing information, or building the interactive front end of a website. Neither outshines the other totally, but if you combine their strengths and weaknesses, you can have something beautiful, dynamic, fast, and scalable.
Frequently Asked Questions (FAQs)
- Both do not rely on class definitions
- They’re beginner-friendly