What Is Python Used For? A Beginners Guide

Python has become one of the most popular programming languages in the world in recent years. It’s used in everything from machine learning to building websites and software testing. Python is said to be the most used language while dealing with data-related technologies and domains like data mining, data analysis, machine learning, data science, big data, and more. So if you plan to learn python, learning a few of these skills will enhance your resume and would allow you to sit for more diverse roles. As python supports most of the data-related tasks by providing libraries, beginning with these technologies is not as hard and would showcase you as a great python developer.

Python skills

Any developer should understand and be able to use version control tools. Version control can help keep projects organized and track every single change. Practically every potential employer expects developers to know python developer course how to manage version control. For a data science project, you could try to find the best model possible from scikit-learn. You could also contribute to open-source projects or try reimplementing a research paper.

Data analysis and machine learning

We will touch on how to create new columns from existing data, delete unneeded data, how to import data from a CSV file, and more. Learn how to work with Python’s built-in json module to serialize the data in your programs into JSON format. Then, you’ll deserialize some JSON from an online API and convert it into Python objects. You’ll learn how to access specific rows and columns to answer questions about your data. You’ll also see how to handle missing values and prepare to visualize your dataset in a Jupyter Notebook.

Python skills

Beyond having a good grasp of logic and some decent analytical skills, devs should aim to learn or improve the skills below. Harnessing the power of artificial intelligence (AI) through machine learning to enhance your decision-making processes. Machine learning with Python can not only help organize data, but machines can also be taught to analyze and learn from disparate data sets – forming hypotheses, creating predictions, and improving decisions.

Understanding of Algorithms and Data Structures

Similarly, Python developers need to solve puzzles to find faster and better-optimized programming solutions. Build your skills with the University of Michigan’s Python for Everybody Specialization. You can read step-by-step guides for troubleshooting Python basics like syntax, if-else statements, exceptions, and working with loops in Coursera’s free programming tutorials. According to a study by Statista, Python is the third most commonly used programming language among developers worldwide [1].

Python skills

You’ll use SciPy, NumPy, and pandas correlation methods to calculate three different correlation coefficients. You’ll also see how to visualize data, regression lines, and correlation matrices with Matplotlib. Learn the fundamentals of descriptive statistics and how to calculate them in Python. You’ll find out how to describe, summarize, and represent your data visually using NumPy, SciPy, pandas, Matplotlib, and the built-in Python statistics library. You’ll become equipped to deal with a range of problems, such as missing values, inconsistent formatting, malformed records, and nonsensical outliers. In this beginner-friendly course, you’ll learn about plotting in Python with matplotlib by looking at the theory and following along with practical examples.

Python Statistics Fundamentals: How to Describe Your Data

Other great soft skills to have include patience and attention to detail. The very first, and most important, Python skill a dev should know is the Python programming language itself. You simply won’t be able to find work as a Python developer if you don’t know any Python. Now that we understand what devs do, let’s talk about the most in-demand Python skills.

  • Unlike languages like CSS, HTML, and JavaScript, you can use Python for more than just web development.
  • Take your coding skills to the next level with Real Python’s accelerated study plans for beginner, intermediate, and advanced Python developers.
  • Python is said to be the most used language while dealing with data-related technologies and domains like data mining, data analysis, machine learning, data science, big data, and more.

Once you’re past the intermediate-level you can start digging into these tutorials that will teach you advanced Python concepts and patterns. After finishing this learning path, you’ll be well equipped to tackle any of our beginner learning paths. Depending on their level of seniority, developers may have basic Python skills and do tasks like writing unit tests or working to improve existing code. Others with intermediate Python skill can maintain existing code or write and build components for new or existing systems.

Top Python Developer Skills to Learn for 2024

Slicing is applied to strings and lists and is responsible to carve out a part or subset of the list or string. It prevents you to loop through indices with ugly if conditions and makes the code look elegant. On the other hand, list comprehension is a mechanism to create a new list based on an existing list or other structures like strings.

Explore the basics with Duke University’s Python Programming Fundamentals course. In less than 23 hours, you’ll learn conditionals, loops, mathematical operators, and data types, and then will develop a Python Program from scratch. Here’s a deeper look at what makes it so versatile and easy to use for coders. This tutorial will prepare you for some common questions you’ll encounter during your data engineer interview. You’ll learn how to answer questions about databases, ETL pipelines, and big data workflows.

Empowering Python Developers with a robust skill set from web frameworks to machine learning, ensuring top-tier development and data-driven solutions. If you’re into data science, why not create a team to compete on Kaggle? It would be a great way to add some interaction to your coding sessions, gain experience, and add a new project to your portfolio. Or maybe you want to improve your Python skills and increase your market value.

And if you’d like to work in data science, it’s good to add some AI and machine learning skills to your repertoire. AI/ML skills can also come in handy outside of data science, as many organizations and businesses have begun including both in their strategies. You can also find many interesting resources at LearnPython.com; if you haven’t yet, check our Python basics course to help you get started. The great news is that the first course in this track (Python Basics. Part 1) is completely free at the time of writing!

pandas Project: Make a Gradebook With Python & pandas

Python, one of the most popular programming languages in the world, has created everything from Netflix’s recommendation algorithm to the software that controls self-driving cars. Python is a general-purpose language, which means it’s designed to be used in a range of applications, including data science, software and web development, automation, and generally getting stuff done. In this section, you’ll find Python learning resources that teach you advanced concepts so you can be on your way to becoming a master of the Python programming language. Once you’re past the intermediate level, you can start digging into these tutorials and courses, which will teach you advanced Python concepts and patterns.

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