Using Python Programming, Automate the Boring Things

The major benefits of using Python

What are some of the major benefits of using Python? Why are so many people taught Python in college—and why do they continue to use it in their careers? Here are some answers:

• Python is easy. Python is an easy language to learn and use. In fact, Python is often cited as being one of the easiest languages to learn and use. First, its syntax is very simple, flexible, and forgiving. As an interpreted rather than compiled language, it’s harder to get a fatal error. Python data structures are very easy to learn. And many libraries and code snippets are out there, so you can find examples of pretty much anything.
• Python is versatile. It can work for mobile development, web applications, and desktop applications. Python programmers can go into just about any specialization. For an easy-to-use language, this is quite unique. Anyone can pick up Python programming and start developing games or apps right away.
• Python is well-supported. Python has an extraordinarily active community. If a new programmer has a question about Python, they can ask and get answers almost immediately. This means that new programmers aren’t left confused or adrift.
• Python has a lot of utilities. It’s frequently used as the language of choice in development systems, such as game development kits, mobile development kits, and other forms of software development platforms. 
• Python is fast. Because Python is easy to use, Python programmers tend to be quite fast. They can implement simple solutions quickly. It’s free and open source, and tons of libraries and code snippets are available.

But Python has downsides as well:

• Python is interpreted. Python is an interpreted language rather than a compiled language, which means that it’s interpreted upon launch rather than pre-compiled. This makes Python inherently slower and less lightweight than other programming options.
• Python experiences runtime errors. This is an offshoot of being an interpreted language. Rather than experience compiler errors, it can experience errors while actually running. Not only does this damage user experience, but it can create security flaws.
• Python is dynamically typed. Dynamic typing makes Python faster to program, but it means that type-checking is all on the programmer. This can lead to more errors, especially in larger programs.

Python is never going to be the best language to use in terms of resource usage, and it’s difficult to scale. These challenges have given Python the reputation of being “for beginners.” While this reputation isn’t inherently unearned, there are many reasons to use Python. Let’s take a deeper look at the types of software frequently written in Python.

👉You'll learn👈

Automate tasks on their computer by writing simple Python programs. Write programs that can do text pattern recognition with "regular expressions". Programmatically generate and update Excel spreadsheets. Parse PDFs and Word documents. Crawl web sites and pull information from online sources. Write programs that send out email notifications. Use Python's debugging tools to quickly figure out bugs in your code. Programmatically control the mouse and keyboard to click and type for you. 

Course Name - Automate the Boring Stuff with Python Programming

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