Python is defined as an interpreted, high-level, object-oriented programming language having dynamic semantics. It is high-level built via data structures, that are combined with the dynamic typing as well as the dynamic binding. This makes it very attractive for the task of Rapid Application Development, and for being utilized as a scripting language to connect with the existing components. The Python is a simple and easy to learn syntax that emphasizes readability and hence reduces the cost towards program maintenance.
The python language supports those modules and packages, that encourage the program modularity as well as code reuse. The Python interpreter along with the extensive standard library are easily available in the source or the binary form without any charge for all the major platforms, and it can be distributed freely. The programmers often fall in love with Python due to its increased productivity. As there is no compilation step, the edit-test-debug cycle is extremely fast. Debugging the Python programs is very easy: any bug or a bad input would never cause any segmentation fault. Rather, when the interpreter comes to know of an error, it creates an exception. When a program does not catch up with the exception, then the interpreter prints a stack trace.
The source-level debugger then allows the inspection of the local and the global variables, the evaluation of the arbitrary expressions, the setting of the breakpoints, the stepping through a code a line, one at a time, and so forth. The debugger is also written in the Python language itself, thus testifying to Python’s introspective power. Whereas on the other side, often the fastest method to debug any particular program is to simply add a few of the print statements to the source. This quick edit-test-debug cycle makes the simple approach extremely effective.
Why Use Python: Merit of Python language
As per the latest TIOBE Programming Community Index, the Python language is considered to be among the top 10 popular programming languages of the year. Python is a general-purpose as well as a high-level programming language. An individual can easily use Python to develop desktop Graphic User Interface applications, websites or web applications. Also, the Python language, allows one to focus on the core functionality of an application by taking into account the common programming tasks. The easy syntax rules of Python language further make it simpler for the users to keep the code base readable and the application maintainable. There are even several other reasons why one must prefer Python over other programming languages. These are as follows –
1) Maintainable and Readable Code
At the time of writing a software application, one must focus on the quality of the source code to simplify the updates and maintenance. The syntax rules of the Python language allow one to express the concepts without writing any additional code. Along with that Python, emphasizes the aspect of code readability, and it allows the programmers to use the English keywords rather than the punctuations. Thus, one can use Python to create custom applications without even writing any additional code.
2) Multiple Programming Paradigms
Similar to the other programming languages, Python supports many different programming paradigms. It even supports object-oriented and structured programming techniques. Python even features a dynamic type system as well as automatic memory management. All of the programming paradigms and the language feature aids the programmers to use Python for creating large and complex software applications.
3) Compatible along with leading Platforms and Systems
Presently, Python is supported by a wide range of operating systems. One can also use Python interpreters to run the code on specific platforms and tools. Python is an interpreted programming language. It allows the user to run the same code on a variety of platforms without the need for any recompilation. Hence, one does not have to recompile the code after making any alteration.
4) Robust Standard Library
The large and robust standard library gives Python an edge over the other programming languages. This standard library allows the user to choose from a variety of modules based on the needs of the user. Each module even enables the user to add functionality to the application without the need for writing additional code.
5) Open-Source Frameworks and Tools
Python is an open-source programming language. It helps the user to curtail the software development cost to a great extent. One can also use the open-source Python frameworks, development tools, and libraries to curtail the development time without an increase in the development cost. One can easily accelerate the desktop GUI application development by using Python GUI frameworks as well as tool kits such as PyQT, PyGUI, PyJs, PyGTK, Kivy, and WxPython.
6) Simplify the Complex Software Development
Python is a generic purpose programming language. One can use python to develop desktop or web applications. One can make use of Python for developing complex scientific as well as numeric applications. Python is created with features that facilitate the process of data analysis and data visualization. One can take advantage of the data analysis feature and create a custom big data solution without any extra time and effort. The data visualization libraries as well as the APIs help to visualize and present the data more appealingly and effectively. Many of the Python developers even use the Python language to accomplish artificial intelligence (AI) and natural language processing tasks.
7) Python is Used in Marketing
Data scientists and engineers are making use of machine learning to create platforms for a large range of marketing cases such as automating customer analytics along with predictive analytics. Python is said to be a popular choice when it comes to machine learning and data science due to its flexibility when it comes to integration with web applications and production builds. Along with machine learning, the Python language can be used to build marketing applications which uncover the insights from the customer data. Such insights could include a propensity to buy, customer purchasing patterns, and price sensitivity.
8) Growth Hacker and python
A new job title has recently emerged in the marketing sector, one which emphasizes the need for the marketers to possess programming skills. This position’s job title is “growth hacker.” The job of a growth hacker needs a combination of the skills of a marketer as well as a coder. The growth hacker primarily depends on the technological tools to grow the business. The tools such as multivariate testing, APIs, and super-platforms (for instance Amazon, Facebook, Apple, and Google) are significantly useful for the marketers.
The fastest way to spread the company’s product is by distributing it on a platform by using APIs, and not MBAs. Business development is now primarily API-centric, and not people-centric. The role of the marketer is now becoming a technical one which requires coding skills and finding a way around the API. The Python language may soon become a must-have tool for data scientists and marketers alike.
Python for Marketing Activities
One can use Python for marketing research as well as for the marketing process automation. The present-day marketing is toned and targeted to generate the desired business bottom outcomes. This is possible by implementing the business intelligence that is skimmed from the data analysis tools. Such tools can be developed by using the Python language for digital marketing coding. The areas of application of the PYTHON LANGUAGE in marketing are as follows
1. Automation of the Repetitive Marketing Tasks
There are several repetitive tasks that a digital marketer performs at work. All of those activities consume a huge amount of time if they are performed manually. Python aids marketers to automate such activities by creating short and custom software programming.
Some of the activities are listed below:
- Managing multiple files
- Renaming of multiple files
- Filling up of data forms
- Searching for multiple folders and files
- File cleaning and others
All of these tasks can be easily automated by developing a short program with Python, which provides numerous features and is capable to accomplish such kids of activities easily.
2. Custom Marketing Campaign Development
The development of the marketing campaigns consists of video marketing, email marketing, content management, social media marketing, page SEO optimization, Google Ads, promotions, clicks, and several other things. This requires a powerful software tool that can integrate and manage the components of a marketing campaign.
Several standard software tools are available in the market. But these tools are developed for the needs of a large range of customers simultaneously. These tools provide only the generic options, that may not fit a particular company’s requirements. Thus, one may need certain custom tools so that they can accomplish their requirements easily. Python helps the marketers to get this task done.
3. Monitor & Analyze Marketing Campaigns
After the marketing campaigns have been launched, the marketers need to monitor, analyze, and then review the campaign to assess the performance of the campaign, and the required changes can be made if needed. A marketer knows about their automated marketing campaign, so they can easily develop short programs to monitor and then analyze the different parts of the campaign. Python has the capabilities related to tasks such as engineering, data analysis, and mathematical programming, that allow marketers to develop the required monitoring and analysis tools for the campaigns.
4. Python to Improve Marketing Automation Software
Python is considered to be the top choice for the programmers due to its accessibility and the demand in the market. Python is even expected to take over the SQL language in the next one year. Alike the other uses of Python, the language largely improves the marketing automation software tools.
The Python programming language is said to be the best solution for improving the marketing automation because of its strong libraries and the in-built modules which can handle extremely complex algorithms of the data analytics, engineering formulas, data science, and artificial intelligence. Python can improve marketing software automation because of its following capabilities:
- The language is compatible with the other powerful languages such as Java
- It is extremely easy to program the custom tasks in the Python language so that the speed and the performance of the tasks are improved.
- Python has a large library to manage the different repetitive data entry and the arithmetic processes.
– There are several auxiliary tools which support the Python platform
– Python is an open-source language, thus one has full control of the source code and they can modify their marketing automation tools as per their requirements.
– It is very useful for developing web-based automation tools for the business.
Python is said to be the first choice of the programmers in today’s market. It is the perfect solution for industrial as well as web application development, especially in the digital marketing applications for automation of the numerous marketing processes. Python is ideal for the marketers to automate the repetitive tasks, for mass data mining, and even for data analytic based functions. Hence it is true that Python may rule the marketing world soon.