#BacktoSkills - Python

Why everyone recommends you learn Python (and why they’re not wrong)

For #BacktoSkills month, we’re spotlighting a series of skills that supercharge careers. Our first skill up should be no surprise to anyone in or around the programming world: Python.

Python–what & why

Python, a versatile and powerful programming language, has taken the tech world by storm and captivated both developers and non-technical enthusiasts alike, evidenced by a 22% growth in usage in 2022. Known for its readability and simplicity, Python has become a go-to choice for beginners and experienced programmers alike. Its popularity can be attributed to several factors, such as its easy-to-learn syntax, a large and active community of developers, and an extensive range of applications, from web development to data analysis, artificial intelligence, machine learning, and automation. Its versatility and user-friendly nature help make programming less intimidating and thus careers in programming more attainable.

Understanding the language

At its core, Python emphasizes clear, concise code that is simple and readable, which sets it apart from other programming languages. This approach makes Python code highly digestible and maintainable, a crucial factor when collaborating on large projects. Its dynamic typing and automatic memory management relieve developers from dealing with complex memory allocation and type declarations, allowing them to focus on the task at hand. Furthermore, Python’s extensive standard library and third-party packages, such as Airflow, NumPy, pandas, and TensorFlow, streamline complex operations and enable efficient data processing, analysis, and machine learning tasks.

Python for your career

Proficiency in Python opens up a world of exciting job opportunities across diverse industries: 

  • A Python developer can find themselves working in web development, creating dynamic websites using frameworks like Django or Flask.
  • In the data science field, Python is the language of choice for data analysis, visualization, and machine learning, where specialists leverage libraries like SciPy and scikit-learn to extract valuable insights from data.
  • Python is also heavily utilized in the realm of artificial intelligence, where programmers build cutting-edge models for natural language processing, computer vision, and more. 

Even beyond tech-oriented roles, Python’s automation capabilities find use in fields like finance, marketing, and scientific research. As a testament to its demand, Python-related job roles often offer competitive salaries, making it an attractive career option for aspiring programmers.

Getting the Python skills you need

If you’re interested in delving into the world of programming with Python but don’t know where to start, Udacity’s catalog provides an excellent resource, with courses tailored to different experience levels, starting from absolute beginners to seasoned developers looking to enhance their skills. 

Beginners can check out our Intro to Python Course or Intro to Programming Nanodegree program to learn the fundamentals of programming, including data types, loops, functions, and object-oriented programming. 

As you progress, more advanced courses take you through real-world applications, such as building web applications or developing machine learning models, as seen in our Intermediate Python, AI Programming with Python and Programming for Data Science with Python Nanodegree programs.

Browse our full suite of courses that teach Python and don’t look back!

Patrick Donovan
Patrick Donovan
Head of Consumer Marketing at Udacity