While it has specialized libraries to extract from specific sources like Wikipedia, the following script uses a more versatile web parsing and scraping library called BeautifulSoup.īefore you can extract a page's data, you first have to download it with Python's requests library. If your workday involves regularly pulling fresh data from the same websites, Python's web scraping capabilities can save you a lot of time. # Do something with the json response to prove it works.Īutomation goal: Interacting with APIs 2. In the following script, I first install the requests library in order to gather data from the URL, then unpack the URL as a JSON file. For this example, I used TomTom's API URL that enables access to live Los Angeles traffic data. With Python, we can quickly pull live traffic data as long as we have the URL where the API collects the data. Traffic data is always changing, so it presents a great opportunity to work with an API. Pull live traffic dataĪPIs make it possible to retrieve real-time data from third parties. Follow the directions below, and you'll have Python completing tasks for you in no time. Running these scripts may require some preparatory steps, like downloading libraries. I've compiled nine Python automation ideas to simplify tasks that may otherwise distract you from important work, grouped into the following categories: Uses of programming languages are practically unlimited, but nobody has time to learn every script there is. Plus, Python's support network is huge, so you should be able to find an answer to nearly any automation question online. This makes data management easy, improving automation responsiveness.Įxtensive automation capabilities: Python comes equipped with a huge set of libraries that enable you to accomplish nearly any automation goal that comes to mind-machine learning, operating system management, and more. Support of data structures: Python offers several ways to store data-including lists and dictionaries-and the ability to create your own data structures. While learning a language like C++ or Java can feel like learning a foreign language, Python syntax resembles English. Simplicity and intuitiveness: Compared to many other programming languages, Python is very easy to read and comprehend. No-code automation should be your first stop, but Python's popularity for task automation comes from a variety of factors, including its: Why automate tasks with Python?Īutomation lets you hand off business-critical tasks to the robots, so you can focus on the most important items on your to-do list-the ones that require active thought and engagement. Through the use of prompts, automated phone menus and directed calls, the need for employees to be dedicated to answer the phones has been reduced, and in some cases, eliminated.Related reading: Not sure when to automate a task? Start here. Other ways automation has reduced employee manpower on tasks is automated voice direction. Direct deposit can be automatically set up and this further reduces the manual process, and most employees who participate in direct deposit often find their paychecks come earlier than if they'd have to wait for their checks to be written and then cleared by the bank. Office payrolls have been automated, which means no one has to manually cut checks, and those checks that are cut can be printed through computer programs. Customers can easily process their payments through automated credit card machines and no longer have to wait in line for an employee to process and manually type in the credit card numbers. In the retail setting, automation also increases choice. Many of the manual tasks that used to be done by hand can now be done through hand held devices and UPC and SKU coding. Outline īusinesses can easily purchase and stock their wares with the aid of technology. Advantages of office automation include that it can get many tasks accomplished faster, it eliminates the need for a large staff, less storage is required to store data, and multiple people can update data simultaneously in the event of changes in schedule. Office automation was a popular term in the 1970s and 1980s as the desktop computer exploded onto the scene. All office functions, including dictation, typing, filing, copying, fax, telex, microfilm and records management, telephone and telephone switchboard operations, fall into this category. The backbone of office automation is a local area network, which allows users to transfer data, mail and voice across the network. Office automation helps in optimizing or automating existing office procedures. Raw data storage, electronic transfer, and the management of electronic business information comprise the basic activities of an office automation system. Office automation refers to the varied computer machinery and software used to digitally create, collect, store, manipulate, and relay office information needed for accomplishing basic tasks.
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