I am creating a program that keeps a record of people and their sports in a .txt file and I need to make an option to remove a player. When a new player is created, their first name, last name, sport, rank and 2 line breakers are written to the text file. I need code that asks for their first name and last name and then will delete the 5 lines of their information from the text file.
What part are you having trouble with? If it's actually removing the data from the file, then a typical method to do it is to write the data you want to keep to a new file. Then rename your data file to a backup version, and rename your new file with the original name.
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You are dealing with a database, but making hard work of it. However Perl's DBI module along with DBD::CSV can turn your text based database file into something you can deal with as a "real" database. Consider:
Alternatively structure/dump the file as a hash (example below), forget all about duplicated blank lines and extra spaces and delete the hash-key provided as argument to the script. You could have a lot of troubles if some lines are duplicated, new fields are added later for new registers, or some fields are missing and you simply delete five untested lines here and there.
pro-football reference Pro-football reference includes NFL data, dating back to 1967. This data includes player statistics, all-time leaders, draft history, coaches, and much more. Statistics are updated by every week, no later than Tuesday at 6pm. Additional data can be found behind a paid subscription.
NFL Concussions This website provides a csv data set on concussions in the NFL from 2012-2014. This data includes the player, the game, position, how many weeks missed, etc. This information is very useful in researching NFL concussion data. This data could be compared with youth football participation rates to see how concussions impact the youths participation in football.
NFL and betting This website provides a data set comparing NFL game scores to the betting projections. This data shows the betting favorite, as well as the final score. This data set would be useful in trying to compare the outcome to whatever the betting odds were.
NFL PBP 2009-2016 This website provides csv data sets on play-by-play data in the NFL from 2009-2016. This data includes the basic statistics such as down, quarter, and yard line. It also includes more specific data like QB hit, expected points result, and air yards. This data would be useful in looking at NFL play-by-play trends over from 2009-2016.
NFLscrapR This github leads to an R package that makes scaping in game NFl data much easier. A lot of this data is based on play-by-play data. This package has data from almost every statistic tracked during an NFL game.
NFL Play This website provides NFL data since 2004. This data includes combine, tackles, kicks, and passer. This detailed data set allows for you to research a wide range of NFL statistics since 2004.
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College Football Data This website provides data for college football. This data consists of play-by-play data, drive results, and historical ratings. As well as predictive statistics like EPA and WPA. This website is very useful in providing a variety of college football data.
Baseball Reference Baseball Reference is a source of baseball data dating back to 1871. This data includes players, teams, statistics, all-time leaders, and much more. Baseball reference has a feature where you can filter out specific players or teams to look at their individual data. Additional data can be found behind a paid subscription.
Baseball Savant Baseball Savant is a source for various baseball data. This includes more advanced statistics such as xwOBA, barrell%, and much more. Baseball Savant also allows you to create a csv file and a visual with select statistics of your choice.
BaseballOdds This website provides data on baseball games in comparison to the betting odds entering the game. The data provided includes the opening and closing lines. This is a really interesting data source if you want to compare baseball scores with what the projected result was.
Baseball Databank This website provides csv data sets on baseball. This data covers a wide range of baseball topics. It includes data specifically for a players performance in the postseason. This would be very useful for any research related to baseball.
2016 Sportradar This website provides a csv data set for the 2016 MLB season. This data includes every pitch, steal, and lineup event for the regular and postseason in 2016. This data would be very useful if you wanted to research baseball events from the 2016 season.
Retrosheet This website provides data for several different baseball events. This includes postponed games, ejections, protested games, and no hitters. There is a lot of data here, it includes a variety of very specific topics. This would be a great resource to research specific events that have happened in baseball.
2016 Baseball This website provides csv data sets from MLB 2016 season. This data is very broad. This mostly just includes general information of each game such as teams, attendance, and duration. MLB is planning to implement a pitch clock, it would be useful to use this data compared to more modern data to compare the difference in duration.
KBO Pitching Data This website provides csv data sets of the KBO 1982-2021. The statistics used are very similar to those used in MLB. ERA, BB, K, etc. The KBO became more popular in the United States during 2020, while MLB was not going on due to the pandemic. This data set could be used to research and collect data about the KBO.
KBO Batting Data This website provides a csv data set on KBO batting data from 1982-2021. These statistics are very similar to those used in MLB. These include runs, hits, home runs, and ops. The KBO became more popular in the United States during 2020, while MLB was not going on due to the pandemic. This data set could be used to research and collect data about the KBO.
Baseball Height/Weight This website provides a csv data set on over 1000 MLB players height and weight. This data also includes their position. I think this allows for us to see a correlation between height/weight and position.
Fangraphs Fangraphs is a website that provides baseball data. This data includes standings, projections, scores, and teams. Fangraphs also has more player based data such as AVG, K%, and WOBA. This is one of the most well known baseball data sources. This source would be very helpful in researching any baseball data.
PyBaseball This website provides data for baseball that can be used in Python. This source uses statistics from Statcast to analyze baseball. This data includes pitch type, launch angle, and WOBA. This datasource uses advanced baseball analytics. This website would be helpful if you are a python user and are very familar with baseball analytics.
Baseballr Baseballr is an R package than can be used to analyze baseball data. Baseballr has scaped data from various sources and created an R package so it can easily be used. This data includes box scores, standings, sabermetrics, etc.
Basketball Reference Basketball-reference has data from basketball, both NBA and WNBA. The data has been tracked since 1946. This data includes statistics, leaders, teams, and draft history. Additional data can be found behind a paid subscription.
Basketball Dataset This website provides data sets on basketball. This data includes drafts, players, salary, game officials, etc. This website also provides data on the draft combine, so you can compare a players combine score to their draft position. This source would be great to research basketball data and statistics.
NBA Play-by-Play This website provides individual data sets for NBA play-by-play data from 2000-2020. This data is very detailed in going over each play from each of these seasons. This data would be useful if you were trying to compare shot and score data trends over the last 20 years. These data sets would also allow you to compare a players trends over the last 20 years.
NBA Games Data This website provides csv data sets on NBA game data. This data includes teams, rankings, games, and players. These data sets provide details about positions, minutes played, and conference of the teams. This data would be helpful in researching NBA game data.
NBA Player Stats This website provides data for NBA players since 1999. This data can be separated into regular season or playoffs. The data set provides players name, team, field goals made, three points made, etc. This data would be useful in comparing a players statistics over their career.
Player Statistics This website provides data for NBA player statistics since 2008. This data includes the basic statistical data such as PPG, APG, and RPG. This data also includes more advanced statistics such as eFG%, USG%, and VI. This source would be great to research NBA player data.
MJ, Kobe, and Lebron This website provides csv data sets on Michael Jordan, Lebron James, and Kobe Bryant. This data compares these players statistics based on their age. Some of these statistics include TS%, USG%, PER, etc. This source would be very useful if you wanted to compare some of the all time great NBA players.
Steph Curry This website provides data on Steph Curry since 2009. Widely considered the best shooter of all-time, this source provides data on Steph Curry since 2009. The data is divided into preseason, regular season, and postseason. This source allows you to see his progression as a player.
NBA Travel Data This website provides data on NBA teams travel schedules. This data includes time zones, cities, and rest days. NBA schedules have been a growing issue over the past few years, this data would allow for a researcher to analyze the NBA travel schedule. 152ee80cbc
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