Python(電腦程式語言)

Python技術者們 / by: (Language materials, printed)

Python機器學習與深度學習特訓班 : = 看得懂也會做的AI人工智慧實戰 = : Machine learning and deep learning with python / by: (Language materials, printed)

超圖解Python程式設計入門 = = Illustrated Python programmingguide / by: (Language materials, printed)

Python最強入門 : = 邁向頂尖高手之路 : 王者歸來 / by: (Language materials, printed)

tf.keras 技術者們-必讀!深度學習攻略手冊 / by: (Language materials, printed)

Python最強入門 : = 邁向數據科學之路 : 王者歸來 / by: (Language materials, printed)

人工智慧與深度學習 : = 理論與Python實踐 / by: (Language materials, printed)

Python自學聖經 : = 從程式素人到開發強者的技術與實戰大全! = Python Programming Bible / by: (Language materials, printed)

AI世代高中生也能輕鬆搞懂的運算思維與演算法 : = 使用Python / by: (Language materials, printed)

跨領域學Python : = 資料科學基礎養成 / by: (Language materials, printed)

Arduino專題製作與應用. . Python連線控制篇 / by: (Language materials, printed)

Python機器學習錦囊妙計 : = 涵蓋預處理到深度學習的實務處方 = Machine learning with pythoncookbook : practical solutions from preprocessing to deeplearning / by: (Language materials, printed)

非監督式學習-使用Python : = 從無標籤資料應用機器學習解決方案 / by: (Language materials, printed)

Python神乎其技 / by: (Language materials, printed)

深度學習的數學地圖 : = 用Python實作神經網路的數學模型 / by: (Language materials, printed)

Python大數據特訓班 = = Python for big data training course / by: (Language materials, printed)

決心打底!Python深度學習基礎養成 / by: (Language materials, printed)

架構模式 : = 使用Python / by: (Language materials, printed)

Python機器學習超進化 : = AI影像辨識跨界應用實戰 / by: (Language materials, printed)

高效能Python程式設計 : = 寫給人類的高性能編程法 / by: (Language materials, printed)

Python功力提升的樂趣 : = 寫出乾淨程式碼的最佳實務 / by: (Language materials, printed)

超圖解資料科學x機器學習實戰探索 : = 使用Python = Practical Exploration Python / by: (Language materials, printed)

超簡單Python / MicroPython物聯網應用 : = 堆積木寫程式輕鬆學習軟硬體整合 / by: (Language materials, printed)

Python程式設計與程式競賽解題技巧 : = 程式設計必備的基礎知識和技能 / by: (Language materials, printed)

跟著阿才學Python : = 從基礎到網路爬蟲應用 / by: (Language materials, printed)

文科生也可輕鬆學習網路爬蟲 : = Python + Web Scraper / by: (Language materials, printed)

超躍巔峰 : = Python : the hard way / by: (Language materials, printed)

打造元宇宙中的另一個你 : = 虛擬偶像AI實作 / by: (Language materials, printed)

動手就能上手 : = 看Excel VBA學Python資料處理自動化 / by: (Language materials, printed)

PYTHON小專案大集合 : = 提升功力的81個簡單有趣小程式 / by: (Language materials, printed)

Python桌面開發王者 : = Qt6全方位實例應用開發 / by: (Language materials, printed)

演算法 : = 圖解邏輯思維+Python程式實作 : 王者歸來 / by: (Language materials, printed)

Python初學特訓班 : = 從快速入門到主流應用全面實戰 = Python beginner course / by: (Language materials, printed)

一邊解題一邊學 : = Python初學者的練習本 / by: (Language materials, printed)

Python視窗GUI設計活用tkinter之路 : = 王者歸來 / by: (Language materials, printed)

真槍實彈做專案 : = PyQt極速開發視窗軟體 / by: (Language materials, printed)

使用Python取代Excel VBA的10堂課 / by: (Language materials, printed)

跟阿志哥學Python / by: (Language materials, printed)

少年Py的大冒險 : = 成為Python AI深度學習達人的第一門課 / by: (Language materials, printed)

必學! Python 資料科學.機器學習最強套件 = = NumPy. Pandas. Matplotlib. OpenCV. scikit-learn. tf.Keras / by: (Language materials, printed)

Python x ChatGPT x Excel : = 高效率打造辦公室作業 + 數據分析自動化 / by: (Language materials, printed)

Tkinter入門 / by: (Language materials, printed)

Python + ChatGPT零基礎 + 高效率學程式設計與運算思維 / by: (Language materials, printed)

密碼管理系統理論與實作 : = 使用Python的Crypto、Tkinter與Django套件 / by: (Language materials, printed)

一本精通 : = OpenCV與AI影像辨識 / by: (Language materials, printed)

零基礎入門的機器學習圖鑑 : = 2大類機器學習 x 17種演算法 x Python基礎教學, 讓你輕鬆學以致用 / by: (Language materials, printed)

Python設計模式與開發實務 : = 使用最新物件導向設計模式, 提升你的程式碼品質 / by: (Language materials, printed)

Python程式設計的樂趣 : = 範例實作與專題研究的20堂程式設計課 / by: (Language materials, printed)

Python程式設計 : = 教學與自習最佳範本 / by: (Language materials, printed)

高效率Python自動化工作術 : = 快速解決Excel、Word、PDF資料處理 / by: (Language materials, printed)

動手玩Python / MicroPython : = ESP32物聯網互動設計 / by: (Language materials, printed)

最新Python基礎必修課 : = 含ITS Python國際認證模擬試題 / by: (Language materials, printed)

AI影像深度學習啟蒙 : = 用python進行人臉口罩識別 / by: (Language materials, printed)

ChatGPT x Keras x PyTorch全方位應用實踐指南 : = 從零開始的AI程式設計養成之路 / by: (Language materials, printed)

OpenAI API基礎必修課 : = 使用Python / by: (Language materials, printed)

每個程式設計師都應該要知道的50個演算法 / by: (Language materials, printed)