Content
You’ll be taught the vocabulary of Python, its unique “grammar”, as well as higher-level programming concepts. The course serves as a friendly introduction to the world of programming. It assumes from the get-go that you have no experience whatsoever coding nor know how programs work.
Other uses include programming applications, web development, game development, quantitative and qualitative analysis, creating new programming languages, and developing graphic design applications. You’ll dive into common data types like strings, dictionaries, tuples, and lists. You’ll know how to extract certain values from them and how to modify them. There is also an optional section on object-oriented programming, where you’ll learn about classes and their instances, attributes, methods, and inheritance. From there, coders who want to create complex object-oriented programs, build algorithms and perform data analysis will have to invest more time in learning the language. While Python is considered easy to learn, users can always continue building on their knowledge.
What is a Python developer?
Second, we used our experience as online learners to evaluate each of our preliminary picks. I feel very nice experience With Coursera During Python Programming . It’s a very good and helpful plateform for learning and enhance our skills.
It also provides hands-on coding exercises using commonly used data structures, writing custom functions, and reading and writing to files. This course may be more robust than some other introductory python courses, as it delves https://remotemode.net/become-a-python-developer/ deeper into certain essential programming topics. Python is a programming language used for a variety of programming tasks, including artificial intelligence (AI), machine learning, data analytics, and data visualization.
Module 2 : Intro to Lists, Loops, and Functions
Like C++ and Java, Python is case sensitive so «a» and «A» are different variables. The end of a line marks the end of a statement, so unlike C++ and Java, Python does not require a semicolon at the end of each statement. When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page – from there, you can print your Certificate or add it to your LinkedIn profile.
For those who want to learn Python programming, a typical introductory course will cover the fundamentals of object-oriented programming and Python syntax. Some of the Python trainings likely covered will include concepts such as “hello world,” variables, data types, basic algorithms, and debugging Python code. Learn the basics of the world’s fastest growing and most popular programming language used by software engineers, analysts, data scientists, and machine learning engineers alike. Survey results also showed that Python is tied with Rust as the most-wanted technology, with 18% percent of developers who aren’t using it already saying that they are interested in learning Python [3]. Moving on, you’ll be instructed on the basics of event-driven programming, which are essential to build games and applications.
Code Checked at Runtime
Once you learn the basics, you can continue on through the rest of the specialization and take the Python Data Structures course, the Using Python to Access Web Data course, and the Using Databases with Python course. You will also build several small projects like a basic calculator, mad libs game, a translator app, and a guessing game. If you’re new to Python, you might consider building a foundation with Python for Everybody from the University of Michigan.
- So this was a purely data-driven step, relying on hard metrics to create an initial ranking that we could then iterate upon and expand.
- The end of each written section includes a link to the code exercise for that section’s material.
- This course is 9 weeks long and you are expected to spend around 14 to 16 hours on lesson materials per week.
- Dask is a flexible open-source Python library for parallel computing and XGBoost provides Dask APIs to train CPU or GPU Dask DataFrames.
In each project, you will be given some starter code and will be tasked with completing it. Lastly, you’ll study variables, the different types of variables, and the role they play in programs. Python is also the language of choice for machine learning and data analysis, with 70% of practitioners preferring Python over other similar languages. Its scope of application is wide — from creating games to making web apps.
Skills you’ll gain
Next, you’ll move on to more advanced topics like loops and iterations, and how to avoid creating infinite loops. A brief section on recursion — a fundamental (but tricky!) programming concept — is also included. You’ll start by learning about programming in general and why learning to automate things with your computer can be a time-saving skill. The first project involves building an arithmetic formatter that aligns arithmetic expressions vertically, just the way you would if you were doing the calculations by hand. You will learn to parse strings, how to deal with edge cases, and also learn how to prettily format text in the command line. You’ll learn how to process strings given by the user and draw text and shapes on a canvas.
So use «name» if it’s a single name, and «names» if it’s a list of names, and «tuples» if it’s a list of tuples. Many basic Python errors result from forgetting what type of value is in each variable, so use your variable names (all you have really) to help keep things straight. In this course, you will be introduced to foundational programming skills with basic Python Syntax.
