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. Apply Now Menu The best data science cheat sheets Data analytics. Whatever your area of development, knowing how to use the most useful functions of the library you're working with is going to make your life a lot easier. January 11th, 2018 A cheat sheet that covers several ways of getting data into Python: from flat files such as.txts and.csv to files native to other software, such as Excel, SAS, or Matlab, and relational databases such as SQLite & PostgreSQL.
DataCamp generated Cheat Sheets can be found directly in the DataCamp Community, HERE. You can download them at any time, upvote helpful ones and even share them on your social channels. If you have any recommendations for Cheat Sheets click on Recommend a Cheat Sheet and let us know! Read and Write to CSV. pd.readcsv('file.csv', header=None, nrows=5).
Hey Finxters! I have another set of cheat sheets for you! This time, I am going to focus on the more advanced aspects of Python and what you can do with it! As you know Python is a flexible language used in web development, games, and desktop applications. I am not going to waste too much of your time so let’s hop right to it and dive into these more advanced Python cheat sheets!
Cheat Sheet 0: Finxter Full Cheat Sheet Course
Cheat Sheet 1: DataQuest
This cheat sheet is from DataQuest and it shows all of the intermediate Python
Regular expressions, date/time module, and counter. This is one you will want to have pinned to the wall or in your developers binder to keep handy as you work.
Pros: Great for budding Python developers, keep it handy as you work.
Cons: None that I can see.
Cheat Sheet 2: DataCamp
It is important to know how to import data during your career no matter what stage you are at. As an intermediate Pythoner, you should keep this cheat sheet handy when working an entry level job of data entry and developing you own projects.
Pros: Great for learning importing data sets in Python.
Cons: None that I can see.
Cheat Sheet 3: DataCamp
You have to import data and you have to be able to plot it as a visual representation for businesses to understand and use to their benefit. This cheat sheet will help you to learn matplotlib and write some amazing graphical visualizations with Python.
Pros: Great to have for matplotlib development.
Cons: None that I can see.
Cheat Sheet 4: GitHub
This cheat sheet is for Machine learning and one you will want to keep in your developers binder as you work. Machine learning and Python go together like peanut butter and jelly, and Scikit is going to be your best friend. If your developers journey takes you to machine learning then make sure to keep this cheat handy for yourself.
Monitor for mac mini 2012. Pros: Scikit is easily learnable with this cheat sheet
Cons: None that I can see.
Cheat Sheet 5: DataCamp
SQL is a database system used in programming for all kinds of data sets and is extremely scalable. Keep this cheat sheet handy to you! BI and other business applications rely on you being able to use SQL!
Pros: Rated ‘E’ for everyone. Easy to read and implement
Cons: None that I can see.
Cheat Sheet 6: Pytorch
Datacamp Python For Data Science Cheat Sheet
This cheat sheet is more a tutorial that will teach you pytorch for deep learning projects. Here you will get hands on practice on pytorch.
Pros: You will get a deep understanding pytorch and how it used
Cons: It is an online tutorial.
Cheat Sheet 7: DataCamp
Yet another from Datacamp!! This one is called SpaCy and allows you to understand the natural text from documents. This is one I have in my development folder and is used for Natural language programming.
Pros: Rated ‘E’ for everyone.
Cons: None that I can see.
Cheat Sheet 8: Ask Python
This cheat sheet is also more a tutorial for you to learn image processing in Python. The best way to learn is to get your hands dirty! Ask Python is good for doing that so you can learn what you need to and boost your skills.
Pros: Rated ‘E’ for everyone.
Cons: None that I can see.
Cheat Sheet 9: TutorialsPoint
This cheat sheet is also a tutorial on learning database access with Python. This is an incredibly important skill when you freelance your skills or end up working for a company at a data entry position.
Pros: Rated ‘E’ for everyone. This tutorial is one I have used myself! It includes code snippets to learn from.
Cons: It is a tutorial, not a cheat sheet to print.
Cheat Sheet 10: FullStack Python
This is also a tutorial for you to learn from. This particular cheat sheet discusses Deployment of web applications in Python!! It has explanations that go into depth with tools, resources and learning checklist which is started off with an introductory on deployment what it is and why it is necessary.
Pros: Rated ‘E’ for everyone. This is important to know if you are a Pythoner in Web development.
Cons: Needs to be bookmarked on your browser.
These are the cheat sheets and tutorials I think you will find helpful as a Pythonista developing in your particular field. As you can see this time, I wanted to really give you a wide berth of cheat sheets that intermediate Pythonista use with their career choices. I hope at least one of these cheat sheets or tutorials is useful to you on your journey! Thank you once again for joining me and I can’t wait to see you again! 😉😉
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