mooc Python学习全套课程(入门+数据分析+爬虫+云端开发+游戏开发+科学计算+机器学习) 从入门到精通,全面掌握Python应用 编辑点评 课程内容丰富,涵盖Python在数据分析、爬虫、云端开发、游戏开发、科学计算和机器学习等多个领域的应用,适合希望全面掌握Python技能的学习者。 ⭐ 编辑推荐 本课程为Python学习全套课程,包括入门、数…
从入门到精通,全面掌握Python应用
课程内容丰富,涵盖Python在数据分析、爬虫、云端开发、游戏开发、科学计算和机器学习等多个领域的应用,适合希望全面掌握Python技能的学习者。
本课程为Python学习全套课程,包括入门、数据分析、爬虫、云端开发、游戏开发、科学计算和机器学习等多个方面,助你从入门到精通。
📁 Python机器学习 📁 课件资料 📁 MachineLearning 📁 B 📁 stock 000777.csv [559.3 KB] prices.txt [439.0 B] C.zip [33.9 MB] use_neighbors.py [848.0 B] use_Ridge.py [785.0 B] use_PolynomialFeatures.py [972.0 B] B.zip [54.7 MB] E.zip [50.8 MB] use_neighbors2.py [1.8 KB] digits.zip [798.9 KB] A.zip [51.1 MB] use_GaussianNB.py [475.0 B] use_DecisionTree.py [769.0 B] use_SVM.py [2.2 KB] use_ClassificationReport.py [4.1 KB] use_linear_model.py [801.0 B] D.zip [44.2 MB] use_MLPClassifier.py [2.2 KB] 📁 A city.txt [1.9 KB] use_NMF.py [1.7 KB] use_DBSCAN.py [1.1 KB] TestData.txt [51.8 KB] use-KMeans.py [855.0 B] use_PCA.py [805.0 B] starbucks.jpg [1.9 MB] use_KMeans2Image.py [710.0 B] cos_dist.py [706.0 B] cluster_centers.py [1.2 KB] 📁 期末作业 期末大作业1(程序设计).txt [850.0 B] use_KNN_model_2.py [1.2 KB] data_train.txt [50.6 MB] data_test.txt [21.3 MB] use_GaussianNB_model_3.py [1.1 KB] use_MLPClassifier_model_1.py [1.3 KB] 📁 venv 📁 lib 📁 python3.5 📁 site-packages 📁 packaging-16.8.dist-info top_level.txt [11.0 B] RECORD [1.7 KB] metadata.json [1004.0 B] INSTALLER [5.0 B] DESCRIPTION.rst [5.0 KB] WHEEL [116.0 B] METADATA [5.8 KB] 📁 pandas 📁 tests 📁 io 📁 data …(层级过深,已停止) 📁 parser …(层级过深,已停止) 📁 formats …(层级过深,已停止) 📁 msgpack …(层级过深,已停止) 📁 __pycache__ …(层级过深,已停止) 📁 json …(层级过深,已停止) 📁 sas …(层级过深,已停止) test_pickle.py [15.8 KB] test_clipboard.py [5.0 KB] generate_legacy_storage_files.py [9.8 KB] test_packers.py [31.7 KB] test_common.py [4.2 KB] test_html.py [33.0 KB] test_sql.py [94.4 KB] test_feather.py [4.1 KB] test_s3.py [228.0 B] test_stata.py [56.4 KB] test_pytables.py [209.9 KB] test_excel.py [94.9 KB] __init__.py test_gbq.py [4.2 KB] 📁 frame 📁 __pycache__ …(层级过深,已停止) test_operators.py [43.8 KB] test_repr_info.py [14.7 KB] test_block_internals.py [19.4 KB] test_nonunique_indexes.py [18.5 KB] test_subclass.py [9.5 KB] test_query_eval.py [42.5 KB] test_alter_axes.py [33.1 KB] test_replace.py [43.5 KB] test_validate.py [1.1 KB] test_analytics.py [75.4 KB] test_mutate_columns.py [8.4 KB] test_indexing.py 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test_multilevel.cpython-35.pyc [91.9 KB] test_panel4d.cpython-35.pyc [30.3 KB] 📁 api 📁 __pycache__ …(层级过深,已停止) test_types.py [3.7 KB] __init__.py test_api.py [7.9 KB] 📁 tseries 📁 __pycache__ …(层级过深,已停止) 📁 data …(层级过深,已停止) test_timezones.py [68.4 KB] test_frequencies.py [33.0 KB] test_holiday.py [16.1 KB] __init__.py test_offsets.py [216.2 KB] 📁 tools 📁 __pycache__ …(层级过深,已停止) __init__.py test_numeric.py [14.1 KB] 📁 series 📁 __pycache__ …(层级过深,已停止) test_alter_axes.py [6.6 KB] test_sorting.py [6.9 KB] test_apply.py [20.0 KB] test_api.py [11.6 KB] test_quantile.py [7.1 KB] test_period.py [8.9 KB] test_asof.py [5.4 KB] test_timeseries.py [31.7 KB] common.py [655.0 B] test_operators.py [70.7 KB] test_validate.py [1.1 KB] test_datetime_values.py [16.5 KB] test_subclass.py [3.9 KB] test_rank.py [11.1 KB] test_indexing.py [88.2 KB] test_io.py [6.3 KB] test_constructors.py [30.9 KB] test_dtypes.py [8.8 KB] test_repr.py [5.7 KB] test_missing.py [44.0 KB] test_analytics.py [64.2 KB] test_combine_concat.py [11.9 KB] test_internals.py [12.8 KB] __init__.py test_replace.py [8.7 KB] 📁 dtypes 📁 __pycache__ …(层级过深,已停止) test_cast.py [11.6 KB] test_concat.py [3.1 KB] test_io.py [4.6 KB] __init__.py test_common.py [19.4 KB] test_inference.py [35.8 KB] test_missing.py [12.1 KB] test_generic.py [2.1 KB] test_dtypes.py [18.6 KB] test_convert.py 📁 computation 📁 __pycache__ …(层级过深,已停止) __init__.py test_eval.py [69.2 KB] test_compat.py [1.3 KB] 📁 data tips.csv [8.0 KB] iris.csv [4.6 KB] 📁 util 📁 __pycache__ …(层级过深,已停止) __init__.py test_hashing.py [11.8 KB] test_util.py [16.2 KB] test_testing.py [29.2 KB] 📁 scalar 📁 __pycache__ …(层级过深,已停止) __init__.py test_timedelta.py [27.3 KB] test_timestamp.py [57.0 KB] test_nat.py [7.5 KB] test_interval.py [3.6 KB] test_period_asfreq.py [35.5 KB] test_period.py [50.5 KB] 📁 plotting 📁 __pycache__ …(层级过深,已停止) common.py [19.6 KB] test_hist_method.py [15.4 KB] test_deprecated.py [1.5 KB] test_frame.py [111.2 KB] test_misc.py [13.1 KB] test_converter.py [7.3 KB] test_boxplot_method.py [15.8 KB] test_series.py [30.4 KB] test_groupby.py [2.4 KB] test_datetimelike.py [48.7 KB] __init__.py 📁 indexes 📁 __pycache__ …(层级过深,已停止) 📁 period …(层级过深,已停止) 📁 datetimes …(层级过深,已停止) 📁 data …(层级过深,已停止) 📁 timedeltas …(层级过深,已停止) datetimelike.py [1.0 KB] test_numeric.py [42.7 KB] test_range.py [32.8 KB] __init__.py test_frozen.py [2.4 KB] common.py [35.3 KB] test_interval.py [30.6 KB] test_base.py [78.7 KB] test_category.py [38.8 KB] test_multi.py [110.9 KB] test_common.py [4.9 KB] test_panelnd.py [3.7 KB] test_take.py [19.0 KB] test_multilevel.py [104.3 KB] test_resample.py [126.9 KB] test_internals.py [46.7 KB] test_panel.py [104.3 KB] test_join.py [7.0 KB] test_lib.py [9.2 KB] test_nanops.py [42.4 KB] test_errors.py [1.2 KB] test_config.py [16.1 KB] test_compat.py [2.4 KB] test_panel4d.py [34.1 KB] test_downstream.py [2.0 KB] test_sorting.py [13.7 KB] test_expressions.py [18.0 KB] test_algos.py [57.7 KB] test_base.py [38.7 KB] 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include python3.5m [93.0 B] .Python [81.0 B] pip-selfcheck.json [60.0 B] 📁 C bird.py [7.0 KB] 📁 DeepLearningFlappyBird-master 📁 logs_bird hidden.txt readout.txt 📁 game 📁 __pycache__ wrapped_flappy_bird.cpython-35.pyc [5.7 KB] flappy_bird_utils.cpython-35.pyc [2.2 KB] wrapped_flappy_bird.py [7.9 KB] flappy_bird_utils.py [3.0 KB] 📁 images network.png [154.3 KB] preprocess.png [218.2 KB] flappy_bird_demp.gif [4.7 MB] 📁 saved_networks 📁 pretrained_model bird-dqn-policy [10.3 MB] bird-dqn-2920000.meta [63.9 KB] bird-dqn-2890000 [10.3 MB] checkpoint [283.0 B] bird-dqn-2880000.meta [63.9 KB] bird-dqn-2880000 [10.3 MB] bird-dqn-2900000 [10.3 MB] bird-dqn-2900000.meta [63.9 KB] bird-dqn-2910000.meta [63.9 KB] bird-dqn-2920000 [10.3 MB] bird-dqn-2890000.meta [63.9 KB] bird-dqn-2910000 [10.3 MB] 📁 assets 📁 audio hit.ogg [15.3 KB] wing.wav [29.2 KB] point.wav [173.3 KB] point.ogg [12.9 KB] die.ogg [17.1 KB] die.wav [190.3 KB] swoosh.wav [346.3 KB] hit.wav [94.3 KB] swoosh.ogg [13.4 KB] wing.ogg [7.5 KB] 📁 sprites 5.png [2.8 KB] background-black.png [3.9 KB] 2.png [2.8 KB] 1.png [2.8 KB] 9.png [2.8 KB] 3.png [2.8 KB] 8.png [2.8 KB] pipe-green.png [4.9 KB] 7.png [2.8 KB] redbird-midflap.png [2.9 KB] redbird-upflap.png [2.9 KB] 4.png [2.8 KB] 6.png [2.8 KB] base.png [664.0 B] redbird-downflap.png [2.9 KB] 0.png [2.8 KB] deep_q_network.py [7.3 KB] README.md [6.2 KB] 📁 DeepLearningTetris 📁 logs_tetris readout.txt hidden.txt 📁 game 📁 __pycache__ dummy_game.cpython-35.pyc [1.0 KB] tetris_fun.cpython-35.pyc [10.7 KB] tetris_fun.pyc [11.4 KB] dummy_game.py [1.3 KB] tetris_fun.py [19.4 KB] dummy_game.pyc [1.1 KB] 📁 FINAL_EPSILON = 0.01 tetris-dqn-660000.data-00000-of-00001 [10.3 MB] tetris-dqn-670000.data-00000-of-00001 [10.3 MB] tetris-dqn-660000.index [1.1 KB] tetris-dqn-690000.data-00000-of-00001 [10.3 MB] tetris-dqn-680000.index [1.1 KB] tetris-dqn-680000.meta [79.7 KB] tetris-dqn-700000.data-00000-of-00001 [10.3 MB] tetris-dqn-700000.meta [79.7 KB] tetris-dqn-670000.index [1.1 KB] tetris-dqn-670000.meta [79.7 KB] tetris-dqn-680000.data-00000-of-00001 [10.3 MB] tetris-dqn-660000.meta [79.7 KB] tetris-dqn-690000.index [1.1 KB] tetris-dqn-700000.index [1.1 KB] checkpoint [289.0 B] tetris-dqn-690000.meta [79.7 KB] 📁 saved_networks tetris-dqn-530000.meta [79.7 KB] tetris-dqn-520000.index [1.1 KB] tetris-dqn-540000.meta [79.7 KB] tetris-dqn-520000.data-00000-of-00001 [10.3 MB] tetris-dqn-520000.meta [79.7 KB] tetris-dqn-540000.index [1.1 KB] tetris-dqn-530000.index [1.1 KB] tetris-dqn-560000.meta [79.7 KB] tetris-dqn-550000.meta [79.7 KB] tetris-dqn-560000.data-00000-of-00001 [10.3 MB] tetris-dqn-550000.index [1.1 KB] tetris-dqn-560000.index [1.1 KB] tetris-dqn-550000.data-00000-of-00001 [10.3 MB] tetris-dqn-540000.data-00000-of-00001 [10.3 MB] tetris-dqn-530000.data-00000-of-00001 [10.3 MB] checkpoint [289.0 B] deep_q_network.py [7.5 KB] 📁 课程数据 📁 聚类 学生月上网时间分布-TestData.txt [51.8 KB] 31省市居民家庭消费水平-city.txt [1.9 KB] 📁 分类 📁 stock 000777.csv [559.3 KB] B.zip [54.7 MB] E.zip [50.8 MB] A.zip [51.1 MB] D.zip [44.2 MB] C.zip [33.9 MB] 📁 期末作业 game.zip [10.7 KB] 期末大作业1(程序设计).txt [850.0 B] 期末大作业2.txt [803.0 B] data.zip [12.1 MB] 📁 回归 prices.txt [439.0 B] 岭回归.csv [379.4 KB] 📁 强化学习 DeepLearningFlappyBird-master.zip [59.5 MB] 下载地址.txt [52.0 B] 📁 手写数字识别 digits.zip [798.9 KB] 📁 基于聚类的整图分割 bull.jpg [43.4 KB] person.png [29.0 KB] 📁 课件资料 📁 第二周-机器学习之监督学习 11-提交-监督学习 - 课程导学.pdf [500.3 KB] 14-提交-监督学习 - 3运动状态程序编写.pdf [823.3 KB] 19-提交-监督学习-WS06V01手写识别实例介绍.pdf [358.9 KB] 15-提交-监督学习-上证指数预测涨跌.pdf [658.0 KB] 12-提交-监督学习 - 运动状态实例.pdf [593.9 KB] 20-提交-WS06V02神经网络实现手写识别实例编写.pdf [578.8 KB] 17-提交-多项式回归 房价与房屋尺寸的非线性拟合.pdf [820.5 KB] 18-提交-监督学习-V1监督学习-岭回归.pdf [627.0 KB] 16-提交-线性回归 房价与房屋尺寸关系的线性拟合.pdf [784.7 KB] 13-提交-监督学习 -knn-nb-决策树模型.pdf [685.8 KB] 21-提交-WS06V03KNN实现手写识别实例编写与神经网络实验对比.pdf [538.9 KB] 📁 第一周-机器学习之无监督学习 09-提交-无监督-kmeans实现图像分割.pdf [544.9 KB] 08-提交-无监督-降维-NMF-PCA-图像.pdf [671.6 KB] 05-提交版-无监督-31省消费水平.pdf [653.2 KB] 04-提交版-无监督学习 - 课程导学.pdf [869.9 KB] 07-提交-无监督学习-降维-PCA-鸢尾花.pdf [606.4 KB] 03-提交版-sklearn库中的标准数据集和功能.pdf [623.3 KB] 06-提交版-无监督-DBSCAN-学生上网分析.pdf [1.0 MB] 01-提交版-开篇-书籍&课程介绍.pdf [609.4 KB] 02-提交版-sklearn库的安装.pdf [557.0 KB] 📁 第三周-机器学习之强化学习 26-提交-自主学习程序基本框架介绍.pdf [730.3 KB] 28-提交-项目实战.pdf [757.0 KB] 23-24-提交-强化学习-1.pdf [831.4 KB] 27-提交-相关库的介绍及安装.pdf [466.2 KB] 30-提交-课程小结.pdf [425.9 KB] 25-提交-自主学习Flappy Bird游戏实例介绍.pdf [252.8 KB] 29-提交-训练结果.pdf [208.8 KB] .gitignore [11.0 B] Python机器学习说明.zip [1.8 MB] 单元3:基于聚类的整图分割实例-1.mp4 [59.7 MB] 单元8:自主学习Flappy Bird游戏项目分析-3.mp4 [34.8 MB] 单元8:自主学习Flappy Bird游戏项目分析-1.mp4 [29.1 MB] 【第二周】机器学习之有监督学习-本周课程导学.mp4 [97.4 MB] 【第一周】机器学习之无监督学习-本周课程导学.mp4 [115.5 MB] 学期课程导学-1.mp4 [77.6 MB] 学期课程导学-2.mp4 [57.2 MB] 单元8:自主学习Flappy Bird游戏项目分析-5.mp4 [18.3 MB] 单元8:自主学习Flappy Bird游戏项目分析-4.mp4 [158.3 MB] 学期课程导学-3.mp4 [90.4 MB] 单元7:强化学习.mp4 [120.4 MB] 单元8:自主学习Flappy Bird游戏项目分析-2.mp4 [124.1 MB] 单元9:课程总结.mp4 [76.0 MB] 单元6:手写数字识别实例分析-2.mp4 [122.9 MB] 单元6:手写数字识别实例分析-3.mp4 [76.5 MB] 单元6:手写数字识别实例分析-1.mp4 [55.9 MB] 📁 Python爬虫 Python爬虫说明.zip [1.8 MB] 单元12:实例4:股票数据Scrapy爬虫-2.mp4 [184.9 MB] 网络爬虫课程的未完待续.mp4 [33.3 MB] 第一周本周课程导学.mp4 [19.1 MB] 单元7:Re(正则表达式)库入门-1.mp4 [73.1 MB] 单元6:实例1:中国大学排名爬虫-3.mp4 [60.4 MB] 单元7:Re(正则表达式)库入门-4.mp4 [57.0 MB] 单元3:Requests库网络爬虫实战(5个实例)-2.mp4 [81.2 MB] 单元6:实例1:中国大学排名爬虫-2.mp4 [158.7 MB] 单元3:Requests库网络爬虫实战(5个实例)-1.mp4 [29.9 MB] 单元10:Scrapy爬虫框架-2.mp4 [83.3 MB] 单元3:Requests库网络爬虫实战(5个实例)-3.mp4 [56.2 MB] 单元5:信息组织与提取方法-3.mp4 [49.5 MB] 单元10:Scrapy爬虫框架-4.mp4 [44.2 MB] 单元5:信息组织与提取方法-5.mp4 [22.4 MB] 单元8:实例2:淘宝商品比价定向爬虫-1.mp4 [66.2 MB] 单元5:信息组织与提取方法-4.mp4 [136.2 MB] 单元3:Requests库网络爬虫实战(5个实例)-4.mp4 [78.2 MB] 单元12:实例4:股票数据Scrapy爬虫-1.mp4 [16.5 MB] 单元11:Scrapy爬虫基本使用-4.mp4 [12.3 MB] 单元9:实例3:股票数据定向爬虫-4.mp4 [26.3 MB] 单元9:实例3:股票数据定向爬虫-1.mp4 [97.5 MB] 单元2:网络爬虫的“盗亦有道-1.mp4 [97.1 MB] 第三周本周课程导学.mp4 [17.5 MB] 单元6:实例1:中国大学排名爬虫-4.mp4 [10.5 MB] 单元11:Scrapy爬虫基本使用-1.mp4 [146.9 MB] 单元8:实例2:淘宝商品比价定向爬虫-2.mp4 [197.9 MB] 单元3:Requests库网络爬虫实战(5个实例)-6.mp4 [29.7 MB] 单元2:网络爬虫的“盗亦有道”-2.mp4 [66.4 MB] 单元9:实例3:股票数据定向爬虫-2.mp4 [185.7 MB] 单元3:Requests库网络爬虫实战(5个实例)-5.mp4 [59.1 MB] 单元9:实例3:股票数据定向爬虫-3.mp4 [81.0 MB] 单元7:Re(正则表达式)库入门-2.mp4 [143.7 MB] 单元10:Scrapy爬虫框架-5.mp4 [13.7 MB] Python语言开发工具选择.mp4 [86.0 MB] 单元5:信息组织与提取方法-2.mp4 [62.2 MB] 单元2:网络爬虫的“盗亦有道”-3.mp4 [30.6 MB] 第二周本周课程导学.mp4 [13.2 MB] 单元12:实例4:股票数据Scrapy爬虫-4.mp4 [14.3 MB] 单元7:Re(正则表达式)库入门-3.mp4 [257.2 MB] 单元7:Re(正则表达式)库入门-6.mp4 [21.4 MB] 单元11:Scrapy爬虫基本使用-3.mp4 [94.8 MB] 单元7:Re(正则表达式)库入门-5.mp4 [39.1 MB] 单元2:网络爬虫的“盗亦有道”-4.mp4 [14.3 MB] 单元8:实例2:淘宝商品比价定向爬虫-3.mp4 [12.7 MB] 单元11:Scrapy爬虫基本使用-2.mp4 [90.2 MB] 单元12:实例4:股票数据Scrapy爬虫-3.mp4 [30.8 MB] 单元5:信息组织与提取方法-1.mp4 [119.5 MB] 网络爬虫课程回顾和总结.mp4 [62.8 MB] “网络爬虫”课程内容导学.mp4 [43.5 MB] 单元10:Scrapy爬虫框架-1.mp4 [106.8 MB] 单元10:Scrapy爬虫框架-3.mp4 [58.2 MB] 第四周本周课程导学.mp4 [11.1 MB] 单元6:实例1:中国大学排名爬虫-1.MP4 [77.9 MB] 📁 Python科学计算三维可视化 Python科学计算三维可视化说明.png [493.5 KB] 第五单元Mayavi入门-2.mp4 [48.7 MB] 第三单元TVTK库可视化实例-1.mp4 [135.8 MB] 第十单元TraitsUI入门-2.mp4 [55.1 MB] 【第〇周】三维可视化之前奏.mp4 [81.6 MB] 第六单元Mlab基础-4.mp4 [139.1 MB] 第三单元TVTK库可视化实例-2.mp4 [127.1 MB] 第十单元TraitsUI入门-4.mp4 [71.6 MB] 课后阅读拓展:VTK介绍(VTK Overview by Han-Wei Shen)-2.mp4 [18.4 MB] 【第一周】三维可视之基础运用-第一周课程导学.mp4 [10.5 MB] 第九单元Traits基础-3.mp4 [82.9 MB] 第六单元Mlab基础-2.mp4 [38.9 MB] 第七单元Mayavi可视化实例-1.mp4 [65.9 MB] 课后阅读拓展:VTK介绍(VTK Overview by Han-Wei Shen)-1.mp4 [21.1 MB] 第六单元Mlab基础-3.mp4 [51.1 MB] 第十一单元TraitsUI与Mayavi实例-2.mp4 [114.3 MB] 第九单元Traits基础-2.mp4 [88.8 MB] 第十单元TraitsUI入门-1.mp4 [65.6 MB] 第六单元Mlab基础-1.mp4 [223.5 MB] 课后扩展阅读:Mayavi介绍(3D Visualization with Mayavi by Prabhu Ramachandran).mp4 [124.1 MB] 第十一单元TraitsUI与Mayavi实例-1.mp4 [55.6 MB] 课后扩展学习:Mayavi高级动画(Using mayavi.mlab Animation by Prabhu Ramachandran).mp4 [229.9 MB] 第十单元TraitsUI入门-5.mp4 [173.0 MB] 第六单元Mlab基础-5.mp4 [59.7 MB] 第一单元TVTK入门-1.mp4 [56.9 MB] 第六单元Mlab基础-7.mp4 [64.4 MB] 第一单元TVTK入门-4.mp4 [79.4 MB] 第九单元Traits基础-4.mp4 [43.7 MB] 第二单元TVTK管线与数据加载-2.mp4 [122.4 MB] 第七单元Mayavi可视化实例-2.mp4 [62.6 MB] 第五单元Mayavi入门-3.mp4 [76.7 MB] 第二单元TVTK管线与数据加载-4.mp4 [95.2 MB] 课后阅读扩展:VTK-ITK的简单应用(by Hui-Huang Zhao).mp4 [10.0 MB] 第六单元Mlab基础-6.mp4 [44.3 MB] 第九单元Traits基础-1.mp4 [73.0 MB] 第五单元Mayavi入门-4.mp4 [121.8 MB] 第九单元Traits基础-5.mp4 [54.2 MB] 第三单元TVTK库可视化实例-3.mp4 [38.9 MB] 第二单元TVTK管线与数据加载-3.mp4 [155.8 MB] 第一单元TVTK入门-3.mp4 [69.4 MB] 第一单元TVTK入门-2.mp4 [112.5 MB] 第二单元TVTK管线与数据加载-1.mp4 [89.5 MB] 第七单元Mayavi可视化实例-3.mp4 [169.2 MB] 第十单元TraitsUI入门-3.mp4 [100.4 MB] 第五单元Mayavi入门-1.mp4 [45.3 MB] 📁 嵩天教授Python入门教程 嵩天教授Python入门教程说明.zip [1.8 MB] 4.6 基本循环结构.mp4 [80.6 MB] 7.1 -1程序设计方法.mp4 [73.9 MB] 4.1 程序基本结构.mp4 [59.7 MB] 7.2 -2软件开发方法基础.mp4 [46.6 MB] 5.3 函数实例分析.mp4 [78.0 MB] 8.1 -2图形编程、图形对象、交互式GUI等基本介绍.mp4 [58.9 MB] 9.1-2 Python的库编程和库安装.mp4 [119.3 MB] 3.3 -1math搴撱€乺andom搴撳拰瀹炰緥.mp4 [38.4 MB] 10.1 -1数学库使用.mp4 [69.5 MB] 10.2 -3调试基础与实践.mp4 [56.9 MB] 7.3 面向过程程序设计.mp4 [100.1 MB] 10.1 -4数学库使用.mp4 [45.6 MB] 3.2 -2元组和列表类型.mp4 [30.5 MB] 8.1 -3图形编程、图形对象、交互式GUI等基本介绍.mp4 [90.1 MB] 1.2 -1从计算机到程序设计语言.mp4 [137.4 MB] 7.4 面向对象程序设计.mp4 [73.7 MB] 4.2 简单分支.mp4 [95.7 MB] 9.2 Python鐨凮S骞冲彴缂栫▼.mp4 [137.2 MB] 1.2 -2从计算机到程序设计语言.mp4 [54.2 MB] 2.2 -2蟒蛇绘制程序.mp4 [49.4 MB] 4.5 三者最大实例分析.mp4 [87.2 MB] 2.2-3 蟒蛇绘制程序.mp4 [27.5 MB] 10.2 -1调试基础与实践.mp4 [30.0 MB] 10.1 -3数学库使用.mp4 [68.0 MB] 7.1 -3程序设计方法.mp4 [48.2 MB] 8.4 图形用户接口实例.mp4 [87.7 MB] 9.1-1 Python的库编程和库安装.mp4 [32.6 MB] 3.3 -2math搴撱€乺andom搴撳拰瀹炰緥.mp4 [46.3 MB] 4.7 通用循环构造方法.mp4 [79.8 MB] 5. 1-3 函数的定义、调用与返回.mp4 [81.3 MB] 7.1 -2程序设计方法.mp4 [85.9 MB] 10.2 -2调试基础与实践.mp4 [57.6 MB] 3.1-4 数字和字符串类型.mp4 [18.4 MB] 1.3 -1Python语言介绍和配置.mp4 [37.8 MB] 6.3 文件实例一.mp4 [46.8 MB] 6.1 文件的基础.mp4 [82.1 MB] 4.4 寮傚父澶勭悊.mp4 [77.2 MB] 8.2 图形库的应用方法.mp4 [76.8 MB] 1.4 -2程序设计的基本方法.mp4 [52.4 MB] 2.1-1 Python语法元素入门.mp4 [163.3 MB] 3.1 -2数字和字符串类型.mp4 [88.1 MB] 7.2 -1软件开发方法基础.mp4 [53.6 MB] 2.1-2 Python语法元素入门.mp4 [29.1 MB] 课程内容和安排介绍.mp4 [48.9 MB] 6.4 文件实例二.mp4 [66.0 MB] 2.2 -1蟒蛇绘制程序.mp4 [50.0 MB] 6.2 文件的基本处理.mp4 [77.9 MB] 3.1-3 数字和字符串类型.mp4 [51.4 MB] 5. 1-2 函数的定义、调用与返回.mp4 [75.8 MB] 8.3 Turtle搴撶殑浠嬬粛.mp4 [56.8 MB] 4.8 死循环-嵌套循环.mp4 [56.6 MB] 3.2 -1元组和列表类型.mp4 [19.6 MB] 6.5 字典的基础.mp4 [34.1 MB] 6.7 瀛楀吀瀹炰緥涓€.mp4 [65.3 MB] 8.1 -1图形编程、图形对象、交互式GUI等基本介绍.mp4 [69.5 MB] 1.4 -1程序设计的基本方法.mp4 [25.2 MB] 2.2 -4蟒蛇绘制程序.mp4 [10.9 MB] 3.1 -1数字和字符串类型.mp4 [20.4 MB] 5. 1-1 函数的定义、调用与返回.mp4 [114.2 MB] 1.3 -2Python语言介绍和配置.mp4 [43.6 MB] 1.4 -3程序设计的基本方法.mp4 [52.4 MB] 7.5 面向对象实例.mp4 [39.9 MB] 10.1 -2数学库使用.mp4 [46.7 MB] 7.6 面向对象的特点.mp4 [50.4 MB] 4.3 多分支.mp4 [63.0 MB] 📁 Python游戏开发 Python游戏开发说明.png [493.5 KB] Python游戏的开发工具.mp4 [140.2 MB] 【PYG05】Pygame色彩与绘图机制-2.mp4 [117.9 MB] 【PYG04】Pygame事件处理机制-7.mp4 [21.5 MB] 【PYG02】Pygame最小开发框架-6.mp4 [19.0 MB] 【PYG05】Pygame色彩与绘图机制-7.mp4 [17.2 MB] 【PYG03】Pygame屏幕绘制机制-6.mp4 [20.7 MB] 【PYG02】Pygame最小开发框架-3.mp4 [171.4 MB] 【PYG03】Pygame屏幕绘制机制-2.mp4 [52.8 MB] 【PYG05】Pygame色彩与绘图机制-3.mp4 [256.2 MB] 【PYG02】Pygame最小开发框架-4.mp4 [96.2 MB] 【PYG03】Pygame屏幕绘制机制-5.mp4 [61.5 MB] 【PYG05】Pygame色彩与绘图机制-6.mp4 [75.4 MB] 【PYG04】Pygame事件处理机制-6.mp4 [129.7 MB] 【PYG02】Pygame最小开发框架-5.mp4 [109.6 MB] 【PYG05】Pygame色彩与绘图机制-4.mp4 [151.4 MB] 【PYG04】Pygame事件处理机制-1.mp4 [20.8 MB] 【PYG03】Pygame屏幕绘制机制-1.mp4 [17.2 MB] 【PYG04】Pygame事件处理机制-5.mp4 [119.6 MB] 【PYG05】Pygame色彩与绘图机制-1.mp4 [18.8 MB] 【PYG03】Pygame屏幕绘制机制-4.mp4 [75.9 MB] 【PYG02】Pygame最小开发框架-2.mp4 [106.3 MB] 【PYG02】Pygame最小开发框架-1.mp4 [26.1 MB] 【PYG04】Pygame事件处理机制-4.mp4 [68.2 MB] 【PYG05】Pygame色彩与绘图机制-5.mp4 [74.1 MB] 【PYG03】Pygame屏幕绘制机制-3.mp4 [209.0 MB] 【PYG04】Pygame事件处理机制-3.mp4 [85.9 MB] 【PYG04】Pygame事件处理机制-2.mp4 [90.3 MB] 📁 史上最全的Python学习资料 PDF电子书 大合集 Python精要参考(第二版)_翻译.pdf [678.7 KB] 笨办法学Python.pdf [821.4 KB] Python参考手册(第4版).pdf [26.7 MB] 码农 第8期.pdf [8.7 MB] Python_qr.pdf [144.0 KB] Multitreading.pdf [99.9 KB] Natural Language Processing with Python.pdf [5.2 MB] think python.pdf [871.3 KB] MySQL技术内幕:SQL编程-迷你书_IT168文库.pdf [6.6 MB] Django_中文教程.pdf [2.3 MB] [精通正则表达式(第三版)].(美)佛瑞德.扫描版.pdf [54.9 MB] python标准库.pdf [651.2 KB] Python3程序开发指南(第二版).pdf [28.3 MB] quantsp研究计划书.pdf [349.3 KB] Learning From Data 2nd Ed (Wiley,2007).pdf [4.0 MB] 《Python标准库》中文版.pdf [651.2 KB] 精通Python网络爬虫 核心技术、框架与项目实战 ,韦玮.pdf [108.6 MB] 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