Python is not limited to skilled programmers. Learning Python can significantly improve the daily job of marketers, academics, doctors, and even artists. Python is also improving jobs in various areas. You might believe that Python is solely used by computer programmers, web developers, software engineers, and other professionals in the technology business. However, understanding Python may help with almost any career. Check out our Python free course online to learn more.
Why Learn Python?
If you are thinking about learning Python, you are one step closer to achieving a significant milestone in your professional life. Coding is a valuable ability for people in a variety of occupations, not only programmers. To stay up with the changes, you must acquire new skills. Knowing Python can provide a competitive advantage in the future job market.
However, there are several programming languages. Why should you use Python? There is an easy answer to this question. Python is relatively straightforward to learn. For starters, it features a basic syntax that is easy to understand even for non-IT professionals. Also, Python is very productive and typically requires fewer lines of code than other programming languages. Finally, Python is extremely adaptable and can be used for a wide range of tasks, including data analysis and visualisation, application development, blockchain development, and much more.
With all of these advantages, Python has risen to the top of the list of most popular programming languages. It has become the undisputed leader in programming language lesson searches on Google in recent years, vastly outpacing Java, JavaScript, C#, and others.
Here are some ways Python can improve your daily work.
Automating Routine Tasks with Python
As previously said, one of the reasons for Python’s appeal is its ability to do a wide range of jobs. Al Sweigart wrote a popular book titled AUTOMATE THE BORING STUFF WITH PYTHON. It gives various examples of Python doing things in minutes that would take hours by hand. The most intriguing aspect is that you only need a rudimentary understanding of Python to use the answers in this book.
Organizing Files on your Computer
When working on long and difficult projects, you frequently wind up with dozens of folders and hundreds or thousands of files relevant to the project. In an ideal world, these files should be ordered in a specified order, with file names that adhere to certain naming rules. In the real world, multiple parallel assignments with tight deadlines frequently result in complete mess within your project folder. Fortunately, there are Python modules that can help you avoid manually renaming, copying, relocating, and compressing all of these files.
Working with Excel Spreadsheets
Even while Excel provides many automation potential on its own, certain processes can be further automated using Python. With a little code, you can automatically compare data between spreadsheets, check for blank cells or erroneous data, and merge data from various Excel spreadsheets to generate interesting reports.
Working With PDFs
PDF files can be found everywhere and are used to store reports, documents, graphs, photos, and other data. It’s an excellent way to transmit well-formatted information, but PDFs are notoriously difficult to work with when doing anything other than reading them. Python once again comes to the rescue. Certain Python modules can help you alter PDFs by allowing you to extract text from them, merge select pages from many files, add a logo, or watermark to the specified pages, and much more.
One example of such a module is OCR (Optical Character Recognition), which is utilised in an online PDF TO WORD converter. then enables tools to extract text from PDFs and photos and convert them to editable text.
Mining Contact Data
Whether you’re a headhunter seeking for top prospects or a salesperson hunting for new clients, you may find yourself spending days or weeks building contact databases through web scraping and data mining. You shouldn’t be surprised to hear that Python modules can help you collect this data automatically, resulting in a well-organised spreadsheet with contact information and other necessary information.
Sending Emails
Python cannot handle all of your email-related chores, but it can be very useful when you need to send repeated emails with similar content to a large number of recipients. Of course, we now have commercial software that can do many mailing duties automatically. However, some jobs cannot be done with the existing technologies; they necessitate a customised strategy. For example, using Python, you may send various emails to each employee based on their department, seniority level, and so on.
Conclusion
To learn more about Python, you can check out our Python online course.
