Best Python Classes Online

Twitter bots are useful tools for everything from business to research, and they're also fun toys to play with on the social media platform. This tutorial gives students a step-by-step guide for building their own Twitter bot. The seminar starts with an introduction to Python and how it can be used to build bots. By the end of the class, students will have followed along with the instructor and on-screen instructions to create a working Twitter bot.

As this tutorial demonstrates, Microsoft Excel and similar spreadsheet programs aren't the only way to process data. This seminar introduces Python as an open-source tool for working with data. By showing students how to use Python and Pandas, this session illustrates simple ways to bypass some of the limitations of Excel. Students learn how Python can help them work with large datasets and operations efficiently and more effectively than Excel can.

Using the approach of creating 100 Python projects in 100 days, this course helps students start as beginners and finish as professionals. Students get a solid orientation to Python, working with tools like Selenium, Pandas, NumPy, and Matplotlib. Students discover applications of Python for data science as well as back end web development and authentication, learning to use Flask and APIs as well as databases and SQL. By the end of the course, students will have a full portfolio of practical projects, from data analyses to websites to games.

With this course track, beginner Python programmers continue developing proficiency in the language. Students start by working with file operations, exceptions, modules, and virtual environments. Then, the couse track dives into classes, inheritance, data structures, and algorithms. By the end of the course track, students will be ready for a final exam, after which they can earn a digital badge.

This course track helps students to continue developing their Python programming skills. The course track begins with unit testing and HTTP requests. Then, students learn to use Flask and discover concurrent programming. At the end of the course track, students take a final exam and earn a digital badge.

In this course track, Python students develop further skills in programming. Students learn to work with PyCharm, Excel, and socket programming for Excel. In addition, students gain experience with Python design patterns. When they have taken the final exam, students can earn a digital badge.

With this course track, web developers can add Python programming to their toolbox. Students learn about operations, data types, and functions, as well as classes, modules, and errors. The course track concludes with a final exam so students can assess their new Python skills. Upon completion of the course track, students earn a digital badge.

Python students in this course learn how to incorporate Python-based data visualization into their web development toolkit. Students develop skills in Seaborn, Altair, and Dash. Along the way, they learn to make plots, graphs, and widgets. After a final exam, students can earn a digital badge for this course track.

After studying this course track, web developers will understand how to use Python to work with data. Students learn to use SQL databases and Python together with SQLAlchemy. In addition, students work with PETL for Extract, Transform, and Load tasks, and use HTTPX for HTTP requests. Students who complete the course track take a final exam and earn a digital badge.

Intermediate Python programmers can study this course track to begin incorporating RESTful APIs into their programming. Students start by learning to use Flask-RESTful, working with input requests and MySQL databases. Then, students build HTTP APIs in Molten and web applications with Django. At the end of the course track, students take a final exam and earn a digital badge.

Students new to Python can take this course track to gain a solid foundation in the popular programming language. The course starts with an introduction to lists, tuples, and functions before covering sequences and and dictionaries. Students develop familiarity with object-oriented programming and learn how to manage dates and times. The Treehouse learning community is available for students looking for peer support.

Students in this multi-modal learning course gain a full introduction to Python. Through lectures, tests, and hands-on assignments and projects, students gain experience working with Python statements, functions, modules, decorators, and generators. Students discover object-oriented programming, web scraping, and data structures, and also gain familiarity with Jupyter Notebooks and building a GUI. By the end of the course, students will have completed three major practical projects, including a capstone project.