Python常用库的安装与使用，涉及的知识点可以包括：常用的数据结构、图形界面GUI PYQT6、事件处理、中文分词与统计、图形图像处理、Numpy、Matplotlib、网络爬虫与自动化等 编写一个“NBA应用系统”,输入球星名字可查询球星再哪一个赛季的球场数据，荣誉等，输入球队名称可查询输入赛季的球队战绩，通过图形界面显示，也可保存到csv文件

好的，我会为您解答Python常用库的安装与使用，以及编写“NBA应用系统”的相关知识点。首先，Python常用库的安装可以通过pip命令来进行，例如：

pip install numpy
pip install matplotlib
pip install PyQt6

这样就可以安装常用的数据结构、图形界面GUI PYQT6、图形图像处理、Numpy和Matplotlib等库了。中文分词与统计可以使用jieba库，可以通过pip来安装：

pip install jieba

网络爬虫与自动化可以使用requests和selenium库，可以通过pip来安装：

pip install requests
pip install selenium

对于编写“NBA应用系统”，可以首先使用requests库来获取NBA的相关数据，例如：

import requests

# 获取球员信息
def get_player_info(player_name):
    url = 'https://www.balldontlie.io/api/v1/players?search={}'.format(player_name)
    res = requests.get(url)
    player_info = res.json()['data'][0]
    return player_info

# 获取球队信息
def get_team_info(team_name):
    url = 'https://www.balldontlie.io/api/v1/teams?search={}'.format(team_name)
    res = requests.get(url)
    team_info = res.json()['data'][0]
    return team_info

# 获取球员荣誉信息
def get_player_honors(player_id):
    url = 'https://www.balldontlie.io/api/v1/players/{}/honors'.format(player_id)
    res = requests.get(url)
    player_honors = res.json()['data']
    return player_honors

# 获取球队战绩信息
def get_team_season(team_id, season_year):
    url = 'https://www.balldontlie.io/api/v1/games?team_ids[]={}&season={}'.format(team_id, season_year)
    res = requests.get(url)
    team_season = res.json()['data']
    return team_season

然后可以使用PyQt6来编写图形界面，例如：

from PyQt6.QtWidgets import QApplication, QWidget, QLabel, QLineEdit, QPushButton, QHBoxLayout, QVBoxLayout
from PyQt6.QtGui import QIcon
import sys

class NBAApplication(QWidget):

    def __init__(self):
        super().__init__()
        self.initUI()

    def initUI(self):
        self.setGeometry(300, 300, 300, 200)
        self.setWindowTitle('NBA应用系统')
        self.setWindowIcon(QIcon('nba.png'))

        player_name_label = QLabel('球员名字')
        self.player_name_edit = QLineEdit()

        team_name_label = QLabel('球队名字')
        self.team_name_edit = QLineEdit()

        season_label = QLabel('赛季')
        self.season_edit = QLineEdit()

        search_player_button = QPushButton('查询球员')
        search_player_button.clicked.connect(self.search_player)

        search_team_button = QPushButton('查询球队')
        search_team_button.clicked.connect(self.search_team)

        hbox1 = QHBoxLayout()
        hbox1.addWidget(player_name_label)
        hbox1.addWidget(self.player_name_edit)

        hbox2 = QHBoxLayout()
        hbox2.addWidget(search_player_button)

        hbox3 = QHBoxLayout()
        hbox3.addWidget(team_name_label)
        hbox3.addWidget(self.team_name_edit)

        hbox4 = QHBoxLayout()
        hbox4.addWidget(season_label)
        hbox4.addWidget(self.season_edit)

        hbox5 = QHBoxLayout()
        hbox5.addWidget(search_team_button)

        vbox = QVBoxLayout()
        vbox.addLayout(hbox1)
        vbox.addLayout(hbox2)
        vbox.addLayout(hbox3)
        vbox.addLayout(hbox4)
        vbox.addLayout(hbox5)
        self.setLayout(vbox)

        self.show()

    def search_player(self):
        player_name = self.player_name_edit.text()
        player_info = get_player_info(player_name)
        player_honors = get_player_honors(player_info['id'])
        # TODO: 显示球员信息和荣誉

    def search_team(self):
        team_name = self.team_name_edit.text()
        season_year = self.season_edit.text()
        team_info = get_team_info(team_name)
        team_season = get_team_season(team_info['id'], season_year)
        # TODO: 显示球队战绩

if __name__ == '__main__':
    app = QApplication(sys.argv)
    ex = NBAApplication()
    sys.exit(app.exec())

最后，可以使用csv库来保存查询结果到csv文件中，例如：

import csv

# 保存球员信息到csv文件
def save_player_info_to_csv(player_info, player_honors, file_path):
    with open(file_path, 'w', newline='') as csvfile:
        writer = csv.writer(csvfile)
        writer.writerow(['球员信息'])
        writer.writerow(['姓名', player_info['first_name'] + ' ' + player_info['last_name']])
        writer.writerow(['位置', player_info['position']])
        writer.writerow(['高度', str(player_info['height_feet']) + '英尺' + str(player_info['height_inches']) + '英寸'])
        writer.writerow(['体重', str(player_info['weight_pounds']) + '磅'])
        writer.writerow(['荣誉信息'])
        for honor in player_honors:
            writer.writerow([honor['name'], honor['season']])

以上是Python常用库的安装与使用，以及编写“NBA应用系统”的相关知识点。希望对您有所帮助。