Useless Thread MDCCCXXXIV - John H Ruiz "El Presidente" Appreciation Thread

[John Price]

 

[John Price]

it's all nerd shit

Responsibilities:​

• Use advanced mathematics and statistical modeling to develop sports performance metrics
• Help set the direction of the department by partnering with Analytics leadership to set project priorities
• Identify the key components in these complex statistics and turn them into language that allows them to be readily used in storytelling across ESPN platforms
• Work collaboratively through conflicts and gain support from internal project partners and stakeholders with various interests and priorities
• Support the department’s training plan by contributing to the education and integration of Sports Analytics storytelling tools to folks across ESPN
• Collaborate with Analytics staffers and ESPN technology partners to write scripts, queries, and code to transform data into automated metrics across our digital platforms and internal research tools
• Use strategic analytical approaches and techniques using data to answer sports questions

Basic Qualifications:​

• 5 years’ experience with sports analytics, or any equivalent combination of education and experience that provides the applicant with the knowledge, skills and ability to perform the job
• 5 years’ experience constructing statistical models to explain or predict performance
• 5 years’ experience in a programming language such as R or Python
• Strong knowledge in using SQL to query and modify data from databases
• A passion for sports and statistics; candidates need to have a working knowledge of players, teams and the rules of the games
• Full availability for this position, which will include nights, weekends and holidays
• Demonstrated ability to ensure accuracy of content
• Effective communication and leadership skills
• A thorough knowledge of sports statistical analysis in the marketplace
• Strong sports knowledge, both historical and current

Preferred Qualifications:​

• Expert knowledge in at least one statistically relevant programming language, such as R or Python.
• Demonstrated portfolio of predictive modeling experience in sports, particularly utilizing Bayesian regression.
• Experience with machine learning or other artificial intelligence techniques.
• Deep understanding of the all major sports and the current state of data therein.
• Previously worked with and have a solid understanding of player tracking data within various sports.
• Strong understanding of sports gambling and fantasy, particularly around predictive player and team performance.
• Experience turning sports analytics into storylines

 

[Fixed to Ruin]

it's all nerd shit

Responsibilities:​

• Use advanced mathematics and statistical modeling to develop sports performance metrics
• Help set the direction of the department by partnering with Analytics leadership to set project priorities
• Identify the key components in these complex statistics and turn them into language that allows them to be readily used in storytelling across ESPN platforms
• Work collaboratively through conflicts and gain support from internal project partners and stakeholders with various interests and priorities
• Support the department’s training plan by contributing to the education and integration of Sports Analytics storytelling tools to folks across ESPN
• Collaborate with Analytics staffers and ESPN technology partners to write scripts, queries, and code to transform data into automated metrics across our digital platforms and internal research tools
• Use strategic analytical approaches and techniques using data to answer sports questions

Basic Qualifications:​

• 5 years’ experience with sports analytics, or any equivalent combination of education and experience that provides the applicant with the knowledge, skills and ability to perform the job
• 5 years’ experience constructing statistical models to explain or predict performance
• 5 years’ experience in a programming language such as R or Python
• Strong knowledge in using SQL to query and modify data from databases
• A passion for sports and statistics; candidates need to have a working knowledge of players, teams and the rules of the games
• Full availability for this position, which will include nights, weekends and holidays
• Demonstrated ability to ensure accuracy of content
• Effective communication and leadership skills
• A thorough knowledge of sports statistical analysis in the marketplace
• Strong sports knowledge, both historical and current

Preferred Qualifications:​

• Expert knowledge in at least one statistically relevant programming language, such as R or Python.
• Demonstrated portfolio of predictive modeling experience in sports, particularly utilizing Bayesian regression.
• Experience with machine learning or other artificial intelligence techniques.
• Deep understanding of the all major sports and the current state of data therein.
• Previously worked with and have a solid understanding of player tracking data within various sports.
• Strong understanding of sports gambling and fantasy, particularly around predictive player and team performance.
• Experience turning sports analytics into storylines

Every job needs python these days.

 

[John Price]

Every job needs python these days.

me trying to pick up python like

me studying python like

 

[PanthersPens62]

This hearing is boring

Unlike the Jerry Nadler/Gym Jordan shows, these hearings are not meant for the Congressfolks to be grandstanding.

 

[John Price]

ESPN analytics room be like

@Fixed to Ruin

last reference

Unlike the Jerry Nadler/Gym Jordan shows, these hearings are not meant for the Congressfolks to be grandstanding.

 

[John Price]

even @Zaiden Shogun picked up python (as someone who claims to program in matlab and c++ and Java!) and does not even use it at work (or most math for that matter)

 

[TheGreenTBer]

Every job needs python these days.

One of the easiest programming languages to learn, by far, and that is by design. It was basically formulated as the opposite of Perl, which is also an interpreted language but from experience Perl can be extraordinarily hard to read at times.

R is also easy but any language that uses the period operator "." as anything other than a member access operator is...not going to appeal to someone born and raised in the C/C++/Java world like myself.

 

[John Price]

what i want to know is how you use python to make those fancy graphs from those numbers

i do all that shit in ezcel lol

 

[Fixed to Ruin]

me trying to pick up python like

View attachment 559308

me studying python like

View attachment 559310

Me trying to pick up python:

then me trying to make something in python...

 

[John Price]

ooh look how easy it is to parse file !

file.open

in java it's hard to open files you have to use filereader and filebuffer and shit like that

i am intrigued

 

[Fixed to Ruin]

One of the easiest programming languages to learn, by far, and that is by design. It was basically formulated as the opposite of Perl, which is also an interpreted language but from experience Perl can be extraordinarily hard to read at times.

R is also easy but any language that uses the period operator "." as anything other than a member access operator is...not going to appeal to someone born and raised in the C/C++/Java world like myself.

Yes but what if you're an idiot. I do all my "programming" in excel.... like a loser.

 

[TheGreenTBer]

Yes but what if you're an idiot. I do all my "programming" in excel.... like a loser.

My wife says I am also an idiot. Does that help?

 

[Fixed to Ruin]

My wife says I am also an idiot. Does that help?

ummm maybe?

 

[John Price]

after the ig blonde pic dump

 

[Fixed to Ruin]

 

[John Price]

ROFL.

Python? They never tried to teach us that in school.

 

[John Price]

I'm going to improve my nerd skills by making a python project to tribute the 2022 ohl champions Hamilton Bulldogs. It will set up an arraylist that will store data of Hamilton players and their position!

G Constantini

F Morrison

F McTavish

 

[MetalheadPenguinsFan]

I'm going to improve my nerd skills by making a python project to tribute the 2022 ohl champions Hamilton Bulldogs. It will set up an arraylist that will store data of Hamilton players and their position!

G Constantini

F Morrison

F McTavish

Or you could do something useful….

 

[John Price]

Mysak lirl

Or you could do something useful….

I'll have you know making a database of Hamilton ohl players is useful

 

[Tarantula]

You know what they say about Montreal redacted...

And if you thought those were good I hear toronno has some fine REDACTED too

Make an old Yank like me wanna cross the border lol. @Tarantula what advice do you have on the "clubs" up there

Haven't been to one of those in a couple decades. There was one here that had Korean girls only, back over 20 years ago that only a few knew about, they never advertised and were way out of the way. I somewhat remember the guys I used to ride with throwing me a surprise Bday party up there. I was so wasted they tied me to the back rest on one of the bikes for the trip home, another friend had to ride mine home.

 

[John Price]

Korean

Say no more

Heading up

Ontario has some f***ing good clubs @MetalheadPenguinsFan do you have good clubs up there in kitchener

 

[Tarantula]

Mysak lirl


I'll have you know making a database of Hamilton ohl players is useful

They have most of their best players graduating or aging out. Every year in the O rosters change dramatically.

I do depth charts every summer for teams but it is pretty fluid, some drafted players don't commit, players age out or get dealt to replenish the youth.

 

[John Price]

They have most of their best players graduating or aging out. Every year in the O rosters change dramatically.

I do depth charts every summer for teams but it is pretty fluid, some drafted players don't commit, players age out or get dealt to replenish the youth.

McTavish f***ing wrecked everyone this postseason. Boss.

 

[John Price]