Programmers_guide_to_Python
cheatsheets
Programmers_guide_to_Python | cheatsheets | |
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11 | 126 | |
173 | 7,245 | |
- | 0.2% | |
4.7 | 7.0 | |
over 2 years ago | 14 days ago | |
Python | ||
Creative Commons Attribution Share Alike 4.0 | BSD 2-clause "Simplified" License |
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Programmers_guide_to_Python
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Programmer's guide to Python website
Hello everyone, I have created a website for my ebook Programmer's guide to Python. On github it wasn't easy to read due to the size, so I thought a website could be more convenient. I've considered topics which are important and which should cover most grounds in Python programming and more. My goal was to create a concise and easy to follow guide to Python programming. I am looking forward to add more content like testing and some standard libraries that we use most often. Let me know your thoughts, suggestions or improvements regarding the website or contents, anything that needs to be added or something else. The current plain learning path will stay forever free and will have no ads, the interactive mode is currently slowly under works, and so I am not much sure about it yet. Hope you find it useful, you can access the website here.
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Just bought Angela Yu’s 100 day Python course!
You can also use my book to fine tune your learning. It's free and I keep updating it, so I hope it helps.
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Any of the current programming/coding bundles worth buying if the intend is to learn Python ( I have very minor previous programming experience)
Try my book once you're done with the basics.
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[Repost] Learn enough python with Programmer's guide to Python
Hello everyone, I have written a e-book named "Programmer's guide to Python", this is the second time I am making a post about it. It is designed to learn python fast by going through concepts with examples, with easy language and straightforward explanations. Only prerequisite is that you should have some basic exposure to programming. It covers most of the hot/necessary topics and more. It's a free book that you access right here on my github. I have recently worked alot and have updated alot inside out, fixing mistakes/errors, adding topics. I think the book is ready to ~90%, probably more, I'll drop the pdf version once ready. The thing is I don't have any reviewer to review it yet, so if anyone with enough experience who would like to collaborate, fix somethings, review or anything let me know, I'll add you to the contribution/reviewer list or maybe as a co-author if you put up enough work. Finally if you'll be reading it, I would like to know your thoughts/suggestions on improvements and maybe something you'd liked to be added in future. That's it, I hope this book helps you in learning python 🙌.
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Old guy programmer here, need to brush up on Python quickly!
You can try reading my book, let me know your thoughts.
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Programmer's guide to Python, learn almost everything in python.
Hello everyone, I hope you're doing fine, I recently wrote Programmer's guide to Python, its a book to learn python fast. If you have prior programming knowledge and are looking to learn python, this will help you kickstart your learning. If you have previously taken basic python courses and want to solidify your learning, this is for you too. It's short, fast and free. It is designed to cover all the important aspects of python, just good enough get you building stuff with Python. I hope it benefits you in learning python. Let me know your thoughts.
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Just finished a beginners python course, what next?
Well you can use my Programmer's guide to Python to solidify your learning. I recently wrote it, it's fast and short way to learn python. I also have ml recommendations which I have curated, they are all almost free and not affiliated. Take a look here, happy learning.
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Need Help finding a beginner friendly course for Python that provides an E-certificate
You can find some resources here they are all almost free and not affiliated. I recently wrote Programmer's guide to Python which is short and fast way to learn python, also free. Do take a look.
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I've learned a little bit of python. Now what?
You can use my Programmer's guide to Python to strengthen your python knowledge. Please take a look.
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Best resources for learning Python
Programmer's guide to Python
cheatsheets
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Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
Matplotlib - A Python 2D plotting library.
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How to retrieve and analyze crypto order book data using Python and a cryptocurrency API
Data visualization: utilizing Python's Matplotlib for visualizing order book information.
- Matplotlib
- Ask HN: What plotting tools should I invest in learning?
- Help with an array
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Getting visual studio code to work with imported library
Name: matplotlib Version: 3.7.1 Summary: Python plotting package Home-page: https://matplotlib.org Author: John D. Hunter, Michael Droettboom Author-email: [email protected] License: PSFLocation: /home/huinker/.local/lib/python3.10/site-packages
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PSA: You don't need fancy stuff to do good work.
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses without relying on expensive or proprietary software.
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What else should I complete before applying for a data analyst role?
programming language: basic python, pandas, matplotlib -- you'll probably do these in school, but if not https://cs50.harvard.edu/python/2022/ https://matplotlib.org/
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[OC] Analyzing 15,963 Job Listings to Uncover the Top Skills for Data Analysts (update)
Analysis was done in Jupyter Notebook with Python 3.10, Pandas, Matplotlib, wordcloud and Mercury framework.
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[OC] Data Analyst Skills in need based on 15,963 job listings
Analysis was done in Jupyter Notebook with Python 3.10 kernel, Pandas, Matplotlib, wordcloud and Mercury framework to share notebook as a web application with widgets and code hidden. Gif created in Canva.
What are some alternatives?
Python Cheatsheet - All-inclusive Python cheatsheet
finplot - Performant and effortless finance plotting for Python
python-cookbook - Code samples from the "Python Cookbook, 3rd Edition", published by O'Reilly & Associates, May, 2013.
manim - A community-maintained Python framework for creating mathematical animations.
Fast-F1 - FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Keras - Deep Learning for humans
geogebra - GeoGebra apps (mirror)
OpenCV - Open Source Computer Vision Library
chat-replay-downloader - A simple tool used to retrieve chat messages from livestreams, videos, clips and past broadcasts. No authentication needed!
NumPy - The fundamental package for scientific computing with Python.
seaborn - Statistical data visualization in Python