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Data Cleaning With Python and pandas An introduction https://medium.com/better-programming/data-cleaning-with-python-pandas-an-introduction-1cfd5cde6884

Requests in Python (Guide) ContentsIntroduction to Requests LibraryGET functionStatus CodeContents of the Response ... https://www.machinelearningplus.com/python/requests-in-python/

I teach programming to researchers at the University of Bristol. Due to Coronavirus all our teaching has moved online. I've just uploaded my first recorded session covering pandas 🐼 https://www.reddit.com/r/Python/comments/fx3ex8/i_teach_programming_to_researchers_at_the/

Python Hub Weekly Digest for 2020-04-19 https://pythonhub.dev/digest/2020-04-19/

Pandas Pivot — The Ultimate Guide Everything you’ve always wanted to know about pandas Pivot but were… https://towardsdatascience.com/pandas-pivot-the-ultimate-guide-5c693e0771f3

I made a face recognition program https://www.reddit.com/r/Python/comments/fzwbcx/i_made_a_face_recognition_program/

Four Things Programmers Need To Know About Python Classes and Libraries I never had a chance to learn… https://towardsdatascience.com/four-things-programmers-need-to-know-about-python-classes-and-libraries-2b82d2a95e35

Say Goodbye to Excel? A Simple Evaluation of Python Grid Studio Using COVID-19 Data https://towardsdatascience.com/say-goodbye-to-excel-a-simple-evaluation-of-python-grid-studio-using-covid-19-data-90624f322b81

Nine simple steps for better-looking python code https://towardsdatascience.com/nine-simple-steps-for-better-looking-python-code-87e5d9d3b1cf

How to use Jupyter Notebooks in 2020 (Part 1: The data science landscape) This is the first of a three-part blog post on the Jupyter Notebook ecosystem. Here, I’ll talk ... https://ljvmiranda921.github.io/notebook/2020/03/06/jupyter-notebooks-in-2020/

Generators, Iterables, Iterators in Python: When and Where Generators, Iterables, and Iterators are some of the most used tools in Python. However, we don't ... https://pythonforthelab.com/blog/generators-iterables-iterators-python-when-and-where/

Distill: Why do we need Flask, Celery, and Redis? (with McDonalds in Between) A few weeks ago, someone at work asked me: Good question, And below is a longer version of my ... https://ljvmiranda921.github.io/notebook/2019/11/08/flask-redis-celery-mcdo/

Seaborn Library for Data Visualization The human minds are more versatile and adaptable to visual graphics than to textual information. ... https://www.learntek.org/blog/seaborn-library-for-data-visualization/

How to Provide Test Fixtures for Django Models in Pytest One of the most challenging aspects of writing good tests is maintaining test fixtures. Good test ... https://hakibenita.com/django-pytest-fixtures

From chunking to parallelism: faster Pandas with Dask When data doesn’t fit in memory, you can use chunking: loading and then processing it in ... https://pythonspeed.com/articles/faster-pandas-dask/

Crisp python plots based on visualization theory It’s time to upgrade from Matplotlib to Plotly —… https://towardsdatascience.com/crisp-python-plots-based-on-visualization-theory-5ac3a82c398e

Generating a random maze using Prim's algorithm https://www.reddit.com/r/Python/comments/g0fz1e/generating_a_random_maze_using_prims_algorithm/

Saving machine learning models to disc Table of Content 1 Introduction 2 Loading the libraries and the data 3 Visualization of the data 4 ... https://michael-fuchs-python.netlify.com/2020/02/29/saving-machine-learning-models-to-disc/

Security: Preventing Cross-site Scripting (XSS) https://medium.com/bugbountywriteup/injection-vulnerabilities-cross-site-scripting-xss-7fd9dc28cc47

7 Pandas Functions to Reduce Your Data Manipulation Stress There’s a reason why Pandas have no gray… https://towardsdatascience.com/7-pandas-functions-to-reduce-your-data-manipulation-stress-25981e44cc7d