Python

• 33 min
  Workshop

  Hello Python

  An introduction to the Python programming language. Learn about what backend development is and how Python differs from other programming languages. Jump into writing code and creating your first small program.

  Viewed
  • Python
  • Beginner
• 10 min
  Workshop

  How to Install Python (Windows)

  If you’d like to become a Python developer, installing Python onto your computer is one of the first steps. So far, you may have been working in an online Python editor, such as Treehouse Workspaces. In this workshop, we'll talk about why it’s beneficial to install Python. Then, I’ll walk you through how to do so step by step. Once we’ve done so, we’ll also explore the built-in Python code editor IDLE so we can start using Python right away!

  Viewed
  • Python
  • Beginner
• 11 min
  Workshop

  How to Install Python (macOS)

  If you’d like to become a Python developer, installing Python onto your computer is one of the first steps. So far, you may have been working in an online Python editor, such as Treehouse Workspaces. In this workshop, we'll talk about why it’s beneficial to install Python. I’ll walk you through how to do so step by step. Once we’ve done so, we’ll explore the built-in Python code editor, IDLE, so we can start using Python right away!

  Viewed
  • Python
  • Beginner
• 11 min
  Workshop

  Python Libraries for AI

  The workshop introduces Python libraries for Machine Learning, Natural Language Processing (NLP), and Computer Vision. It aims to showcase the versatility and power of Python in these fields and how libraries have transformed industries and opened up new possibilities. The course concludes by encouraging learners to embrace the opportunities in AI, experiment with different Python libraries, and push the boundaries of what's possible. It emphasizes the importance of practice, exploration, and a willingness to learn in mastering these fields. The workshop aims to provide an overview and starting point for individuals interested in exploring Machine Learning, NLP, and Computer Vision using Python libraries.

  Viewed
  • AI
  • Beginner
• • 1
  • 2
  • 3

  115 min
  Course

  Python for File Systems

  | 2306 students

  Python is a great language for the automated handling of files and directories. In this course, you'll learn how to navigate your file system with Python and create and manipulate files and directories. At the end, you'll build a project starter to make starting your Flask project just a little bit easier.

  • Python
  • Beginner
• 28 min
  Workshop

  Create a Portfolio Using Python and Flask

  Build an impressive online portfolio with Python and the Flask framework to showcase your skills to potential employers. We'll start with provided HTML, CSS, and JavaScript files. Then, make the HTML modular and dynamic through templating. We'll also cover hosting terminal-based Python apps and the portfolio itself.

  Viewed
  • Python
  • Beginner
• • 1
  • 2
  • 3
  • 4

  3 hours
  Course

  Python Basics

  | 51614 students

  Learn the building blocks of the wonderful general purpose programming language Python.

  • Python
  • Beginner
• • 1

  30 min
  Course

  Technical Interview Prep: Python Basics

  | 422 students

  Test your basic Python knowledge with a few code challenges. These challenges are similar to those you might encounter in a technical interview.

  • Python
  • Beginner
• • 1
  • 3

  2 hours
  Course

  Python for Kids

  | 110 students

  Learn the building blocks of the wonderful general purpose programming language Python.

  • Python
  • Beginner
• • 1
  • 2

  70 min
  Course

  Write Better Python

  | 17220 students

  We've learned the ins and outs of Python. We're comfortable making all sorts of data types, writing functions, and creating classes. But now we need to look at how our Python code should be formatted so it matches the standard. We'll also look at how to get our code to give us help() and how we can use logging and pdb to help us keep track of what's going on inside the code.

  • Python
  • Beginner
• 95 min
  Workshop

  Python Sets

  Dive into the basics of Python Sets! A set is an unordered collection of unique elements without duplicates. Elements are identified by membership rather than position. This workshop will introduce you to how to create and manipulate sets as well as how to perform common set operations.

  Viewed
  • Python
  • Beginner
• • 1
  • 2
  • 3
  • 4

  89 min
  Course

  (UPI) Chapter 3: Introduction to Basic Data Types and Operations in Python

  | 22 students

  This course is part of our College Credit Program, designed to help you earn college credit while mastering valuable skills. If you're interested in pursuing college credit, click here to learn more. (https://join.teamtreehouse.com/college-credit/) This chapter delves into the foundational concepts of Python programming, focusing on the essential building blocks such as numeric variables, strings, and the operations that can be performed on them. It introduces the concept of objects, which can be of various types, including integers, floats, and strings, and how these objects can be assigned to variables for manipulation in code. The chapter covers basic arithmetic operations, string manipulations, and the use of truthiness in evaluating expressions. Additionally, it discusses important aspects of Python programming, such as the dynamic typing of variables, indexing and slicing strings, and the use of escape sequences and f-strings for formatted output. Through examples and practical exercises, the chapter aims to build a strong foundation in these core Python concepts.

  • College Credit
  • Beginner
• 53 min
  Workshop

  Functional Programming with Python

  Kenneth Love provides a quick overview and introduction to the world of functional programming and how to use it in Python

  Viewed
  • Courses Plus
  • Python
  • Intermediate
• 8 min
  Workshop

  Python Techdegree Portfolio Overview

  Begin your Python journey with our in-depth Python Techdegree. Crafted to boost your skills and ready you for the workforce, our Python Techdegree is suitable for all proficiency levels. In this workshop I uncover the five professional-grade projects awaiting you in this Techdegree. Each project is designed to sharpen your Python expertise and prepare you for success in the industry.

  Viewed
  • Python
  • Beginner
• 3 min
  Practice

  Practice Using Strings and Lists in Python

  Practice creating basic strings and lists in Python. Use Python's multiplication abilities to save yourself some work!

  Viewed
  • Python
  • Beginner
• 15 min
  Workshop

  Python Type Hinting

  Pythonistas have always relied on duck typing to handle different values in variables. Starting with Python 3.0, continuing in 3.5, and wrapping up in 3.6, type hints have been added to Python. What are these strange constructs and what have they done with all the ducks?

  Viewed
  • Python
  • Intermediate
• 23 min
  Workshop

  Python Decorators

  Decorators in Python are a common way of wrapping repeated functionality around your functions, methods, and classes. They're also one of the trickier things to learn how to build yourself. Let's see how to construct our own decorators and learn a bit about how Python handles functions, scope, and closures.

  Viewed
  • Python
  • Intermediate
• • 1
  • 2
  • 3
  • 4

  3 hours
  Course

  Object-Oriented Python

  | 15569 students

  Sometimes simple scripts with functions in them just aren't enough. Eventually you'll need logical models of your work and that'll lead you to creating custom classes in Python. Object-oriented programming is a large topic. It provides us some amazing tools, though, so it's one of the most beneficial things to learn about in Python. First, you'll learn how to build basic custom classes. Then, you'll expand them through inheritance. And for some extra power, you'll also learn how to take control of Python's built-in classes to make your own more powerful while doing less work. Finally, we'll put everything together into a fun game utility.

  • Python
  • Beginner
• • 1
  • 2
  • 3

  77 min
  Course

  Python Testing

  | 9844 students

  Every project can benefit from testing and Python's testing library is solid, strong, and easy to learn and use. In this course, we'll learn about doctests, Python's unittest library, and the super-handy third-party package coverage.py. Come along and learn to assert yourself!

  • Python
  • Intermediate
• 6 min
  Practice

  Practice Comparisons in Python

  A quick review of data types, making comparisons, and using if and elif statements in Python.

  Viewed
  • Python
  • Beginner
• 11 min
  Practice

  Practice Setting Up a Python Project

  Practice setting up a Python project locally and on GitHub.

  Viewed
  • Python
  • Intermediate
• • 1
  • 2

  65 min
  Course

  Python Sequences

  | 9369 students

  Discover several types of Python sequences, many ways of sequence iterations, and all of the common sequence operations.

  • Python
  • Beginner
• 23 min
  Workshop

  Image Manipulation with Python

  Learn how to use Python and the Pillow library to modify images through code.

  Viewed
  • Python
  • Beginner
• 18 min
  Workshop

  Python Virtual Environments

  If you're building apps with Python, you'll most likely be using third-party libraries and therefore need to use a virtual environment. This workshop will explain what Python virtual environments are. Then, you'll learn to use the venv tool to work with virtual environments, and how to install packages specific to your project. Finally, you'll learn how to replicate your virtual environments with others, such as fellow students, clients, or your development team. You will finish the workshop with a solid understanding of how to use virtual environments to maintain project dependencies and avoid conflicts with other Python projects.

  Viewed
  • Python
  • Beginner
• • 1
  • 2
  • 3
  • 4

  2 hours
  Course

  Python Dates and Times

  | 457 students

  As a Python developer, you will inevitably come across the need to use dates and times in your projects. This course will teach you how to use Python to work with dates and times. You will learn how to manipulate and format dates, calculate time differences, and explore the built-in datetime module. By the end of this course, you will have a solid understanding of how to handle dates and times in Python for a variety of applications. Throughout this course, we'll work together to build a simple app that will utilize this new concept and solidify your understanding.

  • Python
  • Beginner
• 43 min
  Workshop

  Python Comprehensions

  This Workshop introduces students to a convenient way of working with iterables with Python. Here, you’ll learn how to skip conditional looping and create new sequences straight from existing sequences, such as lists, dictionaries, and sets. Take your Python skills to a whole new level by learning Comprehensions!

  Viewed
  • Python
  • Beginner
• • 1
  • 2
  • 3

  75 min
  Course

  Introduction to Data Visualization with Matplotlib

  | 2629 students

  Get started creating charts with the Python library, matplotlib, an industry-standard data visualization library. Matplotlib provides a way to easily generate a wide variety of plots and charts in a few lines of Python code. It is an open-source project that can be integrated into Python scripts, jupyter notebooks, web application servers, and multiple GUI toolkits. Whether you are exploring sample data available on the internet, or your own business data, learning matplotlib is a great place to start your data visualization journey.

  • Python
  • Beginner
• 12 min
  Workshop

  Pipenv: The Python Package Manager

  Pipenv is a production-ready tool that aims to bring the best of all packaging worlds to the Python world. It harnesses Pipfile, pip, and virtualenv into one single command.

  Viewed
  • Python
  • Beginner
• 14 min
  Workshop

  CSV and JSON in Python

  CSV and JSON files are two very common formats for storing and retrieving data. Both have great support in the Python language. Let's see how to take advantage of each of these file types.

  Viewed
  • Python
  • Beginner
• 14 min
  Workshop

  Python File I/O

  You're likely to find that, sooner or later, you're going to need to read and write data to and from files. Python makes that easy so let me show you how!

  Viewed
  • Python
  • Beginner
• 7 min
  Workshop

  What's New in Python 3.6?

  Python 3.6 was released in December, 2016 and brought with it some great new features. Let's look at a few of them in detail to see what you can start adding to your code today!

  Viewed
  • Python
  • Beginner
• • 1

  110 min
  Course

  Regular Expressions in Python

  | 14295 students

  Regular expressions are one of the tools that every programmer needs, but is often scared of. In this course, we'll explore the re module that Python provides and learn to write regular expressions for many different situations.

  • Python
  • Intermediate
• • 1
  • 2
  • 3

  2 hours
  Course

  Basic Object-Oriented Python

  | 3564 students

  Learn the powerful object-oriented method of designing and laying out code.

  • Python
  • Intermediate
• • 1
  • 2
  • 3

  118 min
  Course

  Using Databases in Python

  | 14385 students

  When you want to store data from a program, you have two general choices: files or databases. In this course, we're going to explore using a database from within Python by using the excellent ORM Peewee. We'll build a command line diary application that stores our thoughts and notes in a SQLite database, lets us review and delete them, and even has a search feature!

  • Python
  • Intermediate
• • 1

  18 min
  Course

  (UPI) Chapter 2: Introduction to Python

  | 21 students

  This course is part of our College Credit Program, designed to help you earn college credit while mastering valuable skills. If you're interested in pursuing college credit, click here to learn more. (https://join.teamtreehouse.com/college-credit/) Python is a versatile scripting language valued for its simplicity, modular design, and extensive library support, making it suitable for applications in data science, machine learning, and web development. Its clear syntax and line-by-line interpretation allow for efficient debugging and ease of use for programmers.

  • College Credit
  • Beginner
• • 1
  • 2
  • 3

  76 min
  Course

  Intro to Seaborn

  | 195 students

  The Seaborn module is a Python visualization library based on Matplotlib. It provides a higher-level, more convenient way to create common statistical plots and is well-suited for labeling and presenting statistical graphics. This course will help you get started with Seaborn by walking through the structure of its library, showing how to create key charts in Seaborn, and comparing the results with equivalent plots created with Matplotlib.

  • Python
  • Intermediate
• • 1
  • 2
  • 3

  25 min
  Course

  (UPI) Chapter 4: Understanding Python Errors, Comments, and Code Quality

  | 9 students

  This course is part of our College Credit Program, designed to help you earn college credit while mastering valuable skills. If you're interested in pursuing college credit, click here to learn more. (https://join.teamtreehouse.com/college-credit/) This course explores common Python errors, teaching how to interpret error messages and avoid mistakes like syntax and indentation issues. It also emphasizes the importance of writing clear comments and maintaining code quality to improve readability and collaboration.

  • College Credit
  • Beginner
• • 1
  • 2

  33 min
  Course

  (UPI) Chapter 12: Mastering Python Dictionaries

  | 4 students

  This course is part of our College Credit Program, designed to help you earn college credit while mastering valuable skills. If you're interested in pursuing college credit, click here to learn more. (https://join.teamtreehouse.com/college-credit/) This course focuses on Python dictionaries, exploring their use as key-value pair data structures for efficient data storage, access, and modification. It covers advanced topics like looping through dictionaries, using conditionals, creating nested dictionaries, and applying dictionary comprehensions for concise and effective coding.

  • College Credit
  • Beginner
• • 1
  • 2

  40 min
  Course

  (UPI) Chapter 8: Functions and Control Flow in Python

  | 6 students

  This course is part of our College Credit Program, designed to help you earn college credit while mastering valuable skills. If you're interested in pursuing college credit, click here to learn more. (https://join.teamtreehouse.com/college-credit/) This course focuses on Python functions and control flow, explaining how functions promote modularity, reusability, and clarity in programming. It also explores variable scope, arguments, return values, and the interplay between functions to build efficient and maintainable code.

  • College Credit
  • Beginner
• • 1
  • 2

  36 min
  Course

  (UPI) Chapter 16: Working with Files in Python

  | 3 students

  This course is part of our College Credit Program, designed to help you earn college credit while mastering valuable skills. If you're interested in pursuing college credit, click here to learn more. (https://join.teamtreehouse.com/college-credit/) This course focuses on file handling in Python, detailing how to read from, write to, and manipulate files effectively while managing exceptions to handle errors gracefully. It also introduces working with file paths, CSV files, and advanced file operations to streamline data processing tasks.

  • College Credit
  • Beginner
• • 1
  • 2
  • 3

  51 min
  Course

  (UPI) Chapter 10: Mastering Python Modules

  | 5 students

  This course is part of our College Credit Program, designed to help you earn college credit while mastering valuable skills. If you're interested in pursuing college credit, click here to learn more. (https://join.teamtreehouse.com/college-credit/) This course delves into Python modules, showcasing how they organize code for better reusability and scalability, with built-in modules like math and third-party options from PyPI. It also explains techniques to prevent side effects, resolve name collisions, and use the help() function for module documentation.

  • College Credit
  • Beginner
• • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
  • 8
  • 9

  88 min
  Course

  (UPI) Chapter 1: Introduction to Programming

  | 136 students

  This course is part of our College Credit Program, designed to help you earn college credit while mastering valuable skills. If you're interested in pursuing college credit, click here to learn more. (https://join.teamtreehouse.com/college-credit/) This chapter introduces the fundamentals of programming, including the software development process, tools, and methods used to develop and test programs. Key topics include: Integrated Development Environments (IDEs) Version Control Input and Output Hello World Program: Presented in both pseudocode and flowchart format. Programming Language Introduction: Python is introduced with example code.

  • College Credit
  • Beginner
• 7 min
  Practice

  Practice Emulating Built-ins

  Practice emulating Python's built-in methods dunder str, dunder eq, and dunder iter.

  Viewed
  • Python
  • Intermediate
• 13 min
  Workshop

  ChatGPT: Code Interpreter

  Discover the capabilities of ChatGPT's "Code Interpreter" model in our AI workshop. It's a secure, sandboxed Python interpreter that revolutionizes Python code testing, debugging, data analysis, and visualization. Ideal for developers, data analysts, and AI enthusiasts eager to enhance their Python programming skills and data interpretation proficiency.

  Viewed
  • AI
  • Beginner
• • 1
  • 2
  • 3

  65 min
  Course

  Functions, Packing, and Unpacking

  | 9957 students

  Learn the ins and outs of Python functions, how to send and receive values to functions, and all about Python packing and unpacking.

  • Python
  • Beginner
• • 1
  • 2

  36 min
  Course

  Introducing Dictionaries

  | 9398 students

  Another useful Python data structure is the dictionary. Learn how to write one and use one in your day-to-day Python code.

  • Python
  • Beginner
• • 1
  • 2
  • 3

  2 hours
  Course

  Introduction to NumPy

  | 2664 students

  NumPy is short for Numerical Python. It is the fundamental package for scientific computing. You will see it at play in just about everywhere Python needs to deal with data. This course gives a gentle introduction to the powerful library.

  • Python
  • Intermediate
• 15 min
  Workshop

  Jupyter Notebooks

  The Jupyter project has an amazing tool for Python, Julia, R, and other languages. Learn how to install Jupyter Notebooks, use them, and install kernels for other languages.

  Viewed
  • Python
  • Beginner
• 22 min
  Workshop

  PyCharm

  Want to use an IDE for your Python, Flask, or Django development? This workshop will show you how to install PyCharm and explore some of its more useful features.

  Viewed
  • Python
  • Beginner
• 4 min
  Practice

  Practice Basic Math Calculations in Python

  Let's practice doing math and type conversions!

  Viewed
  • Python
  • Beginner
• 33 min
  Workshop

  Analyzing Books with Pandas

  Walkthrough an analysis of books using Python's Pandas.

  Viewed
  • Python
  • Intermediate
• • 1

  12 min
  Practice

  Practice Creating and Using Functions in Python

  | 6122 students

  Practice your function skills

  • Python
  • Beginner
• 22 min
  Practice

  Practice Writing Loops in Python

  Programming with loops can be tricky, and the best way to get comfortable and grow your understanding is by practicing them.

  Viewed
  • Python
  • Beginner
• 33 min
  Workshop

  Data from APIs

  Use Python to gather data from an API and save it to a CSV file.

  Viewed
  • Python
  • Intermediate
• 3 min
  Practice

  Practice Python While Loops

  While you are learning about loops, take a moment to practice using while loops.

  Viewed
  • Python
  • Beginner
• 42 min
  Workshop

  Relational Databases With SQLAlchemy

  Learn how to interact with multiple tables through relationships using Python's SQLALchemy.

  Viewed
  • Python
  • Intermediate
• 17 min
  Workshop

  Dunder Main

  In this workshop, we’ll talk about using a recommended Python best practice, dunder main to control the execution of our code.

  Viewed
  • Python
  • Beginner
• • 1

  13 min
  Course

  Introducing Tuples

  | 10688 students

  Learn about a Python data structure that's similar to lists but with one key difference!

  • Python
  • Beginner
• 8 min
  Practice

  Practice Input and Output in Python

  You've got the ability to get information from the user, input, and show them some results: output. Let's put your skills to work!

  Viewed
  • Python
  • Beginner
• • 1
  • 2

  67 min
  Course

  Data Visualization with Bokeh

  | 1060 students

  Learn how to use the Bokeh library to generate interactive charts, graphs, and other visualizations using Python. We'll explore a world population data set and see how to generate different charts using this powerful library.

  • Python
  • Intermediate
• • 1
  • 2
  • 3

  3 hours
  Course

  Flask Basics

  | 13769 students

  Flask is one of the easiest ways to bring your Python skills online. It's a great microframework used by thousands of people to create prototypes and small web apps.

  • Python
  • Intermediate
• 13 min
  Workshop

  Using the Requests Library

  The requests library is one of the most popular Python libraries, period. It's amazingly friendly and useful and makes working with RESTful APIs on the Internet a breeze. In this workshop, we'll look at how to use the library to make GET, POST, and other requests, how to process JSON data, and how to handle HTTP Basic and Digest auths.

  Viewed
  • Python
  • Beginner
• • 1
  • 2
  • 3

  2 hours
  Course

  Functional Python

  | 5336 students

  Functional programming is a great addition to any programmer's toolset. FP allows you to quickly filter lists, modify values, find answers, and other repetitious tasks with less code than other approaches.

  • Python
  • Advanced
• • 1
  • 2

  2 hours
  Course

  Flask with SQLAlchemy Basics

  | 503 students

  Learn how to use the popular Python framework for creating websites and web applications, Flask. Then upgrade your website with a database connection using SQLAlchemy.

  • Python
  • Intermediate
• • 1
  • 2
  • 3
  • 4

  4 hours
  Course

  A Social Network with Flask

  | 426 students

  It's time to dig in and build something big. In this course, we're going to take the tools we've learned, Flask, Peewee, and Python itself, and build a small social network. We'll have user registration, user authentication, strongly hashed passwords, form validation, and more.

  • Python
  • Intermediate
• • 1
  • 2
  • 3

  70 min
  Course

  Scraping Data From the Web

  | 2783 students

  Almost any information you want is available on the Internet. Web scraping is a key tool for data mining that information allowing for web page exploration and collection for a variety of reporting. The tools and techniques used in this course allow for data to be collected that would otherwise not be easily accessible without robotic assistance.

  • Python
  • Intermediate
• • 1
  • 2
  • 3

  58 min
  Course

  Machine Learning Basics

  | 6465 students

  Machine learning encompasses many different ideas, programming languages, frameworks, and approaches to the subject, so the term "machine learning" is difficult to define in just a sentence or two. But essentially, machine learning is giving a computer the ability to write its own rules and learn about new things, on its own. In this course, we'll explore some of the big ideas, and toward the end, we'll even write a little bit of code in Python that can make some intelligent predictions.

  • Machine Learning
  • Beginner
• • 1
  • 2

  2 hours
  Course

  Flask REST API

  | 3917 students

  Building an API with Flask can be pretty simple but you'll often end up with a large amount of code in just one or two files. In other words, it can be messy! But with a few simple tools like Flask-RESTFul, Flask-Limiter, and Flask-HTTPAuth, you can build a clean, well-organized, and strong API with this great, lightweight Python framework.

  • Python
  • Intermediate
• • 1
  • 2

  3 hours
  Course

  Introduction to pandas

  | 2134 students

  Pandas provides fast, flexible, and expressive data structures that have been designed to make working with relational or “labeled” data not only easy, but also intuitive. It’s the fundamental high-level building block for doing practical and real-world data analysis in Python.

  • Python
  • Intermediate
• • 1

  35 min
  Course

  (UPI) Chapter 6: Decision-Making in Python

  | 9 students

  This course is part of our College Credit Program, designed to help you earn college credit while mastering valuable skills. If you're interested in pursuing college credit, click here to learn more. (https://join.teamtreehouse.com/college-credit/) This course explores decision-making in Python through control structures like sequence, selection, and iteration, emphasizing their role in structured programming. It covers if-else statements, nested decisions, and conditional expressions, highlighting the importance of clarity and efficiency in program flow.

  • College Credit
  • Beginner
• • 1
  • 2
  • 3
  • 4
  • 5

  61 min
  Course

  (UPI) Chapter 15: Understanding and Implementing Inheritance in Python: Concepts and Practices

  | 3 students

  This course is part of our College Credit Program, designed to help you earn college credit while mastering valuable skills. If you're interested in pursuing college credit, click here to learn more. (https://join.teamtreehouse.com/college-credit/) Real-world entities are often described in relation to other entities. For example, a finch is a type of bird. Similarly, classes, which represent types of real-world entities, can be related to each other. Inheritance describes the relationship in which one class is a type of another class. Classes within inheritance relationships can inherit attributes and methods from other classes without needing to redefine everything. Thus, inheritance in object-oriented programming reduces redundancy and promotes modularity.

  • College Credit
  • Beginner
• • 1
  • 2
  • 3

  30 min
  Course

  (UPI) Chapter 9: Introduction to Python Data Structures: Lists, Tuples, and Dictionaries

  | 6 students

  This course is part of our College Credit Program, designed to help you earn college credit while mastering valuable skills. If you're interested in pursuing college credit, click here to learn more. (https://join.teamtreehouse.com/college-credit/) An object is a single unit of data in a Python program. So far, this course has introduced three types of objects: strings, integers, and floats. This chapter introduces three types of containers: lists, tuples and dictionaries. A container is an object that can hold an arbitrary number of other objects. By the end of this chapter, you will be equipped to solve more complex problems using fewer variables.

  • College Credit
  • Beginner
• • 1
  • 2
  • 3
  • 4
  • 5

  59 min
  Course

  (UPI) Chapter 11: Mastering List Operations, Iteration, and Comprehensions

  | 4 students

  This course is part of our College Credit Program, designed to help you earn college credit while mastering valuable skills. If you're interested in pursuing college credit, click here to learn more. (https://join.teamtreehouse.com/college-credit/) Programmers often work on collections of data. Lists are a useful way of collecting data elements. Python lists are extremely flexible, and, unlike strings, a list's contents can be changed. Introduction to Lists The Objects chapter introduced lists. This chapter explores operations that can be performed on lists.

  • College Credit
  • Beginner
• 14 hours
  Conference

  Treehouse Festival June 2021

  Treehouse Festival is an online conference designed for Treehouse students and all aspiring developers and designers. The presentations will empower those that attend with skills and a network to transition to a tech career or level-up in their current roles. Sessions include “Designing with a Developer Mindset,” “Computer Science, Emulation, and the NES,” “Interview with a Treehouse Grad”, and more!

  Viewed
  • HTML
• 5 hours
  Bonus Series

  The Treehouse Show

  The Treehouse Show is our weekly conversation with the Treehouse Community.

  Viewed
  • HTML
• 12 min
  Workshop

  Deploy a Node Application to Heroku

  Heroku is a git-based, simple to use, hosting platform. You can deploy Ruby, PHP, Java and Python web applications to it in a breeze. But more importantly you can deploy Node.js applications too!

  Viewed
  • Courses Plus
  • JavaScript
  • Intermediate
• 8 min
  Practice

  Practice OOP Vocabulary

  Test your knowledge of OOP vocabulary with this practice session.

  Viewed
  • Python
  • Intermediate
• 15 min
  Workshop

  Introduction to Anaconda

  Learn why you want to use Anaconda, and then learn how

  Viewed
  • Python
  • Beginner
• 13 min
  Practice

  Practice Cleaning Data

  Practice accessing data and cleaning it for use in other functions or programs.

  Viewed
  • Python
  • Beginner
• 5 min
  Practice

  Practice Creating and Indexing Lists

  Let's practice creating lists and printing their contents.

  Viewed
  • Python
  • Beginner
• 40 min
  Workshop

  Tkinter

  Learn how to use the built-in tkinter library to produce GUI applications that run on your computer.

  Viewed
  • Python
  • Intermediate
• • 1
  • 2

  3 hours
  Course

  SQLAlchemy Basics

  | 1099 students

  Creating a SQL database including model creation and CRUD using SQLAlchemy.

  • Python
  • Intermediate
• 56 min
  Workshop

  Structuring Your Code

  Improve your code structure by applying narrative flow, iterative coding, KISS, and DRY methods.

  Viewed
  • Python
  • Beginner
• • 1
  • 2

  79 min
  Course

  Preparing Data for Analysis

  | 459 students

  Learn how to clean and prep data for analysis using spreadsheet tools and Python's Pandas.

  • Data Analysis
  • Intermediate
• 9 min
  Practice

  Practice Error Handling

  Practice your error handling skills using try/except blocks.

  Viewed
  • Python
  • Beginner
• • 1
  • 2

  16 min
  Course

  Intro to Data Analysis

  | 607 students

  An introduction to the concepts, tools, and terms for data analysis.

  • Data Analysis
  • Beginner
• • 1
  • 2
  • 3

  105 min
  Course

  Introducing Lists

  | 19255 students

  Lists are a powerful data type that allows you to store multiple ordered values in a single container. You are gonna love them.

  • Python
  • Beginner
• • 1

  25 min
  Course

  Basic Math for Data Analysis

  | 837 students

  Basic math concepts learned through traditional schools may have been forgotten or not utilized for a long time. This workshop is to remind students how to calculate basic statistics and refresh their memory on terminology.

  • Python
  • Beginner
• 45 min
  Workshop

  Combining Data for Analysis

  In this workshop, students are introduced to common methods used to combine multiple datasets, specifically merge and concatenation. Students will use Pandas, a powerful data analysis tool built on top of Python. After completion, students are equipped to combine datasets for further analysis and manipulation.

  Viewed
  • Data Analysis
  • Beginner
• • 1
  • 2

  34 min
  Course

  (UPI) Chapter 14: Exploring Recursion

  | 4 students

  This course is part of our College Credit Program, designed to help you earn college credit while mastering valuable skills. If you're interested in pursuing college credit, click here to learn more. (https://join.teamtreehouse.com/college-credit/) This course explores recursion in Python, showcasing its power to solve complex problems by breaking them down into smaller, manageable sub-problems. It covers key concepts such as base and recursive cases, and demonstrates applications in solving factorials, Fibonacci sequences, and the Three Towers problem.

  • College Credit
  • Beginner
• 21 min
  Workshop

  Reverse Engineering Code with ChatGPT

  In this video, we explore the incredible power of ChatGPT for reverse engineering code. Join us as we unravel the mysteries behind complex code snippets, dissecting their inner workings with the help of ChatGPT. From comprehending list comprehensions to unraveling conditional expressions, we showcase how ChatGPT breaks down code components, explains their functionality, and provides comprehensive insights. Whether you're a beginner or an experienced programmer, this video will empower you with the skills to gain a deeper understanding of code snippets and harness them in your own projects. Step into the realm of reverse engineering with ChatGPT and unlock a whole new level of coding proficiency!

  Viewed
  • AI
  • Beginner
• • 1
  • 2
  • 3
  • 4
  • 5

  80 min
  Course

  (UPI) Chapter 17: Key Concepts in Data Analysis: Indexing, Slicing, Missing Data, and Visualization

  | 4 students

  This course is part of our College Credit Program, designed to help you earn college credit while mastering valuable skills. If you're interested in pursuing college credit, click here to learn more. (https://join.teamtreehouse.com/college-credit/) Data Science provides the ability to derive insights and make informed decisions from data. It plays a crucial role in various disciplines, including: Healthcare Business Education Politics Environmental Science Social Sciences This chapter aims to provide an introduction to the field of data science and the data science life cycle. The resources provided in this chapter are meant to guide readers using Python to further explore data science.

  • College Credit
  • Beginner
• • 1
  • 2
  • 3
  • 4
  • 5

  55 min
  Course

  (UPI) Chapter 13: Understanding Key Concepts in Object-Oriented Programming (OOP) and Their Implementation

  | 3 students

  This course is part of our College Credit Program, designed to help you earn college credit while mastering valuable skills. If you're interested in pursuing college credit, click here to learn more. (https://join.teamtreehouse.com/college-credit/) A programmer can model real-world entities as objects for better program design and organization. A class defines a type of object with attributes and methods. Many instances of a class type can be created to represent multiple objects in a program. Classes promote reusability and add benefits like data abstraction and encapsulation, which help organize code for better usability and extensibility.

  • College Credit
  • Beginner
• • 1
  • 2
  • 3
  • 4
  • 5

  61 min
  Course

  (UPI) Chapter 7: Comprehensive Guide to Python Loops and Control Statements

  | 8 students

  This course is part of our College Credit Program, designed to help you earn college credit while mastering valuable skills. If you're interested in pursuing college credit, click here to learn more. (https://join.teamtreehouse.com/college-credit/) Loops in Programming A loop is a code block that runs a set of statements while a given condition is true. Loops are often used for performing repetitive tasks. For example: The software on a phone repeatedly checks to see if the phone is idle. Once the time set by a user is reached, the phone is locked. Loops can also be used for iterating over lists, such as student names in a roster, and printing the names one at a time. In this chapter, two types of loops are introduced: For Loop While Loop This chapter also introduces the break and continue statements, which are used to control a loop's execution.

  • College Credit
  • Beginner
• 30 hours
  Bonus Series

  The Treehouse Show (2012 - 2015)

  The Treehouse Show is your weekly dose of web design and web development news, hosted by Nick Pettit and Jason Seifer.

  Viewed
  • HTML

Whoops! Perhaps you can try a broader search.

Reset all filters