The programming language Python has been steadily rising in popularity in the modern development landscape. The Octoverse 2024 report, released by GitHub, highlights this growth. For the first time, Python has surpassed JavaScript in popularity, becoming the most used language among developers on the GitHub platform.
This surge in Python’s prominence is closely linked to the growing adoption of Artificial Intelligence (AI) technologies, which position Python as the preferred choice for automation and development projects.
As AI becomes increasingly integrated into operations, Python emerges as a versatile and powerful language capable of building innovative solutions with ease.
Key insights from the Octoverse 2024 report
Below are the highlights from the report, showcasing GitHub’s growth and the impact of programming languages and AI:
- 518 million projects on GitHub, a 25% increase compared to the previous year;
- 5.6 billion contributions to public and private projects;
- 137,000 AI projects, with a 98% growth in generative AI projects powered by tools like GitHub Copilot;
- Over 1 million users actively use GitHub Copilot, the platform’s AI-driven coding assistant.
How has AI driven Python’s growth?
The advancements in Artificial Intelligence (AI) and machine learning have positioned Python as a standout among the most widely used programming languages.
This popularity arises because Python is highly adaptable for complex application development while offering a simple and easy-to-learn syntax. This simplicity enables developers to create robust models with greater efficiency.
Additionally, Python boasts a wide range of specialized libraries and frameworks, such as Django, CherryPy, BotCity, and Flask. These tools simplify and expedite the development process, making Python a favorite among developers seeking flexibility, ease of use, efficiency, and reduced coding time.
Key advantages of Python
Here are the main benefits that make Python so popular in the development of automation and intelligent tools:
Simplified syntax
One of Python’s biggest advantages is its accessible and intuitive syntax. It allows developers of all skill levels to quickly learn how to use it and create complex applications with fewer lines of code.
Active community
Another strength of Python is its active and global community, which continually develops and shares new resources, updates, and solutions to common challenges. This extensive support network makes it easy to find online documentation and resolve doubts quickly, contributing to the language’s evolution.
Integration with AI and machine learning
Last but not least, Python’s seamless integration with AI technologies has been a key factor in its rapid growth. The language supports various machine learning frameworks, which simplify and accelerate the development of AI algorithms.
These features have made Python a go-to solution for areas such as process automation, data analysis, and the creation of intelligent bots.
Learn more: Intelligent automation: components and benefits
The importance of orchestration and governance with Python
Python’s popularity and ease of learning make it the top choice for many developers in automation and artificial intelligence projects.
However, its simplicity can lead to disorganized processes, especially when applied at scale and in corporate environments.
To understand this better, here are the main risks of using Python without orchestration frameworks and governance practices:
Security issues
Without governance, Python projects may expose security vulnerabilities. A lack of control over libraries used, the absence of secure coding practices, and decentralized management can create opportunities for attacks and breaches.
Establishing clear governance allows for the definition of consistent security policies, ensuring that all Python implementations follow robust protection standards.
Learn more: Security in RPA with Python
Process inconsistencies
Without a centralized orchestration system, teams often develop scripts and automations with varied logic and unaligned practices. This undermines the reliability of automated processes and complicates monitoring and standardization.
Learn more: What is code versioning and best practices
Low efficiency
Python projects created without governance often encounter scalability and efficiency challenges. Issues such as duplicated scripts, lack of code reuse, and redundant automations emerge from disorganization, wasting both resources and time.
Is everything clear about Python?
As we’ve seen, Python’s rise as the most-used language in development reflects its flexibility. However, disorganized usage can lead to security risks and inconsistencies.
This is where orchestration and governance become crucial. With tools like BotCity Orchestrator, companies can centralize and strategically manage their automations, ensuring secure, consistent, and scalable processes.
If you want to maximize the value of automation and make operations more secure and efficient, exploring BotCity is a great next step. How about creating a free account today? Or, reach out to one of our specialists!
