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GeezerVison is showing github.com — GitHub - rogerfitz/tutorials: Git Repo for Articles on Ergo Sum blog and the youtube channel https://www.youtube.com/channel/UCiie9CN--dazA7iT2sry5FA

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Nate Silver ELO
Nate Silver ELO
 
 
_introduction_to_jupyter_notebooks
_introduction_to_jupyter_notebooks
 
 
adjusted_strength_of_schedule
adjusted_strength_of_schedule
 
 
ai_logo_design
ai_logo_design
 
 
algorithmia_ocr
algorithmia_ocr
 
 
analyzing_sports_betting
analyzing_sports_betting
 
 
audio_analysis_for_n00bz
audio_analysis_for_n00bz
 
 
automate_amazon_buy
automate_amazon_buy
 
 
book_scanner_to_audiobook
book_scanner_to_audiobook
 
 
cooking_across_latitudes
cooking_across_latitudes
 
 
draft-kings-history-scrape
draft-kings-history-scrape
 
 
draft_kings_contests_scrape
draft_kings_contests_scrape
 
 
eth_dev_intro
eth_dev_intro
 
 
fantasy_football_schedule_generator
fantasy_football_schedule_generator
 
 
first_year_nfl_fantasy_performance
first_year_nfl_fantasy_performance
 
 
flask_viz_server
flask_viz_server
 
 
fun_with_iframes
fun_with_iframes
 
 
fun_with_waveforms
fun_with_waveforms
 
 
getting_a_job_in_ds_as_beginner
getting_a_job_in_ds_as_beginner
 
 
graph_viz_why_when
graph_viz_why_when
 
 
image_generation_with_fuse_dream
image_generation_with_fuse_dream
 
 
kalshi_prediction_market
kalshi_prediction_market
 
 
make_your_own_pip_package
make_your_own_pip_package
 
 
march_madness_using_futures
march_madness_using_futures
 
 
menu_spider_scraping
menu_spider_scraping
 
 
mlb_asg_team_performance
mlb_asg_team_performance
 
 
movies_vs_great_recession
movies_vs_great_recession
 
 
pairs_trading
pairs_trading
 
 
python_chess
python_chess
 
 
raspberry_pi
raspberry_pi
 
 
ring_ecobee
ring_ecobee
 
 
roadtrip_tracker
roadtrip_tracker
 
 
scraping_insider_trading
scraping_insider_trading
 
 
subreddit_analysis
subreddit_analysis
 
 
text_compare
text_compare
 
 
texting_without_twilio
texting_without_twilio
 
 
travel_time_visualization
travel_time_visualization
 
 
web_scraping_w_images
web_scraping_w_images
 
 
world_cup_club_affiliations
world_cup_club_affiliations
 
 
yahoo_draft_position
yahoo_draft_position
 
 
.gitignore
.gitignore
 
 
LICENSE
LICENSE
 
 
README.md
README.md
 
 
SECURITY.md
SECURITY.md
 
 

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tutorials

Setup

NEW CHANGES

Going forward all new tutorial projects will follow the pattern of subreddit_analysis/ with a readme and specific install steps.

For older projects feel free to create an issue if you need help installing and I will fix it sooner. In general I would recommend using Miniconda Latest 64 bit for your operating system.

Install Steps

Windows:

  1. Download Minconda -- Select Latest Windows 64 bit
  2. Install and select the option to add Minconda to your system path (it isn't default)
  3. Install Windows Terminal
  4. [Optional but recommended] Install git-bash
  5. Open windows terminal and select a shell of your choice, on Windows I use Command Prompt or Git Bash
  6. Test that conda was installed conda info should give something like
active environment : None
       user config file : C:\Users\minim\.condarc
 populated config files :
          conda version : 4.10.1
    conda-build version : not installed
         python version : 3.9.1.final.0
       virtual packages : __cuda=11.3=0
                          __win=0=0
                          __archspec=1=x86_64
       base environment : C:\Users\minim\miniconda3  (writable)
      conda av data dir : C:\Users\minim\miniconda3\etc\conda
  conda av metadata url : https://repo.anaconda.com/pkgs/main
           channel URLs : https://repo.anaconda.com/pkgs/main/win-64
                          https://repo.anaconda.com/pkgs/main/noarch
                          https://repo.anaconda.com/pkgs/r/win-64
                          https://repo.anaconda.com/pkgs/r/noarch
                          https://repo.anaconda.com/pkgs/msys2/win-64
                          https://repo.anaconda.com/pkgs/msys2/noarch
          package cache : C:\Users\minim\miniconda3\pkgs
                          C:\Users\minim\.conda\pkgs
                          C:\Users\minim\AppData\Local\conda\conda\pkgs
       envs directories : C:\Users\minim\miniconda3\envs
                          C:\Users\minim\.conda\envs
                          C:\Users\minim\AppData\Local\conda\conda\envs
               platform : win-64
             user-agent : conda/4.10.1 requests/2.25.0 CPython/3.9.1 Windows/10 Windows/10.0.19041
          administrator : False
             netrc file : None
           offline mode : False
  1. Now choose where you want to run the projects. Use cd commands and you can download the repository by doing git clone https://github.com/rogerfitz/tutorials
  2. Nearly done now, cd into the directory and test that a tutorial works. I'd recommend starting with subreddit_analysis/README.md

Mac

  1. Download Minconda -- Select Latest Mac 64 bit
  2. Install and select the option to add Minconda to your system path (it isn't default)
  3. Open the Mac Terminal and test that conda was installed conda info should give something like
active environment : None
       user config file : C:\Users\minim\.condarc
 populated config files :
          conda version : 4.10.1
    conda-build version : not installed
         python version : 3.9.1.final.0
       virtual packages : __cuda=11.3=0
                          __win=0=0
                          __archspec=1=x86_64
       base environment : C:\Users\minim\miniconda3  (writable)
      conda av data dir : C:\Users\minim\miniconda3\etc\conda
  conda av metadata url : https://repo.anaconda.com/pkgs/main
           channel URLs : https://repo.anaconda.com/pkgs/main/win-64
                          https://repo.anaconda.com/pkgs/main/noarch
                          https://repo.anaconda.com/pkgs/r/win-64
                          https://repo.anaconda.com/pkgs/r/noarch
                          https://repo.anaconda.com/pkgs/msys2/win-64
                          https://repo.anaconda.com/pkgs/msys2/noarch
          package cache : C:\Users\minim\miniconda3\pkgs
                          C:\Users\minim\.conda\pkgs
                          C:\Users\minim\AppData\Local\conda\conda\pkgs
       envs directories : C:\Users\minim\miniconda3\envs
                          C:\Users\minim\.conda\envs
                          C:\Users\minim\AppData\Local\conda\conda\envs
               platform : win-64
             user-agent : conda/4.10.1 requests/2.25.0 CPython/3.9.1 Windows/10 Windows/10.0.19041
          administrator : False
             netrc file : None
           offline mode : False
  1. Install github command line if you don't have it already, in Mac terminal brew install git
  2. Now choose where you want to run the projects. Use cd commands and you can download the repository by doing git clone https://github.com/rogerfitz/tutorials
  3. Nearly done now, cd into the directory and test that a tutorial works. New to python? I'd recommend starting with intro_to_jupyter otherwise go with subreddit_analysis

About

Git Repo for Articles on Ergo Sum blog and the youtube channel https://www.youtube.com/channel/UCiie9CN--dazA7iT2sry5FA

www.ergosum.co

Topics

algorithmiadata-sciencedraft-kingsfan-duelfivethirtyeightgoogle-maps-apiocrpythonsportstechtext-to-speechvisualizations

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