Why Learn Python?
- Ease of Learning: Python is easy to read and write. Its readability and straightforward syntax make it a beginner-friendly language. This ease of learning accelerates its learning curve.
- Versatility: Python is a versatile language and can be used for a wide range of applications from web development to machine learning and auto mation. Its adaptability makes it a valuable asset in the industry.
- Cross-platform Compatibility: Python is a cross-platform language i.e. the code written in Python can be run on various operating systems without changes. Its portability is a major asset.
10 Must Have Python Skills as a Data Scientists in 2024
Python has become incredibly popular worldwide, especially in the field of data science. In fact, StackOverflow’s 2022 Developer Survey ranked Python as the fourth most popular technology and the third most desired technology for developers to learn. This is because Python offers a wide range of tools, frameworks, and libraries that are invaluable for various data science applications and beyond.
Because Python is so crucial, companies are eager to hire developers who are skilled in it to improve their data insights and more. They achieve this by either hiring permanent, in-house developers or by partnering with outsourcing providers for their Python development needs.
But before diving into hiring Python experts or applying for Python-related roles, both companies and developers need to understand the key Python skills essential for success in data science and related fields.