If you have never used R before, I recommend you work through the beginning tutorial available at DataCamp. Click on “Start Learning R” to begin the free session. Lately, DataCamp has been adding a lot of other courses on advanced topics and on programming in other languages. Check it out!
- Pandas Python Dataframe Cheat Sheet
- Datacamp Sql Cheat Sheet
- Datacamp Python Cheat Sheet
- Pandas Cheat Sheet Datacamp
- Datacamp Cheat Sheet Pandas
I am creating a repository on Github(cheatsheets-ai) containing cheatsheets for different machine learning frameworks, gathered from different sources. Do visit the Github repository, also, contribute cheat sheets if you have any. List of Cheatsheets: 1. Resource Center. Upcoming Events. Create Free Account. All tags latest must read. Recommend a Cheat Sheet. Machine learning +4. Karlijn Willems. Keras Cheat Sheet: Neural Networks in Python. Cheat sheet: spaCy. Level: Advanced; Area: NLP; Description: spaCy is a natural language processing library that analyses texts at difference levels: NER (name, entity, recognition), parser (syntactic analysis) or similarity, from a model trained in one language. It also allows us to create models from scratch with. Datacamp provides 3 cheatsheets describing the basics of matplotlib, seaborn and pandas: the 3 most commonly used library for data analysis with python: Matplotlib cheat sheet. Pandas cheat sheet. Seaborn cheat sheet.
Cheat Sheets
Here is a collection of cheat-sheets and tips for programming and graphics in R. Most of these guides will not make sense in the beginning, but keep returning to them as you learn more R code, and you will start to pick up many useful methods.
Pandas Python Dataframe Cheat Sheet
Resources for the second edition are here. I'd love to know what you think about Python Crash Course; please consider taking a brief survey. If you'd like to know when additional resources are available, you can sign up for email notifications here.
Datacamp Sql Cheat Sheet
Cheat sheets can be really helpful when you’re trying a set of exercises related to a specific topic, or working on a project. Because you can only fit so much information on a single sheet of paper, most cheat sheets are a simple listing of syntax rules. This set of cheat sheets aims to remind you of syntax rules, but also remind you of important concepts as well. You can click here and download all of the original cheat sheets in a single document.
An updated version of these sheets is also available through Leanpub and Gumroad. The updated version includes a sheet that focuses on Git basics, a printer-friendly b&w version of each sheet, and each sheet as a separate document. The updated versions are available at no cost on both platforms.
Individual Sheet Descriptions
- Beginner’s Python Cheat Sheet
- Provides an overview of the basics of Python including variables, lists, dictionaries, functions, classes, and more.
- Beginner’s Python Cheat Sheet - Lists
- Focuses on lists: how to build and modify a list, access elements from a list, and loop through the values in a list. Also covers numerical lists, list comprehensions, tuples, and more.
- Beginner’s Python Cheat Sheet - Dictionaries
- Focuses on dictionaries: how to build and modify a dictionary, access the information in a dictionary, and loop through dictionaries in a variety of ways. Includes sections on nesting lists and dictionaries, using an OrderedDict and more.
- Beginner’s Python Cheat Sheet - If Statements and While Loops
- Focuses on if statements and while loops: how to write conditional tests with strings and numerical data, how to write simple and complex if statements, and how to accept user input. Also covers a variety of approaches to using while loops.
- Beginner’s Python Cheat Sheet - Functions
- Focuses on functions: how to define a function and how to pass information to a function. Covers positional and keyword arguments, return values, passing lists, using modules, and more.
- Beginner’s Python Cheat Sheet - Classes
- Focuses on classes: how to define and use a class. Covers attributes and methods, inheritance and importing, and more.
- Beginner’s Python Cheat Sheet - Files and Exceptions
- Focuses on working with files, and using exceptions to handle errors that might arise as your programs run. Covers reading and writing to files, try-except-else blocks, and storing data using the json module.
- Beginner’s Python Cheat Sheet - Testing Your Code
- Focuses on unit tests and test cases. How to test a function, and how to test a class.
- Beginner’s Python Cheat Sheet - Pygame
- Focuses on creating games with Pygame. Creating a game window, rect objects, images, responding to keyboard and mouse input, groups, detecting collisions between game elements, and rendering text.
- Beginner’s Python Cheat Sheet - matplotlib
- Focuses on creating visualizations with matplotlib. Making line graphs and scatter plots, customizing plots, making multiple plots, and working with time-based data.
- Beginner’s Python Cheat Sheet - Pygal
- Focuses on creating visualizations with Pygal. Making line graphs, scatter plots, and bar graphs, styling plots, making multiple plots, and working with global datasets.
- Beginner’s Python Cheat Sheet - Django
- Focuses on creating web apps with Django. Installing Django and starting a project, working with models, building a home page, using templates, using data, and making user accounts.
Datacamp Python Cheat Sheet
Pandas Cheat Sheet Datacamp
Datacamp Cheat Sheet Pandas
Available from No Starch Press and Amazon.