Sisällysluettelo:
“…Introduction -- Android operating system -- Iphone operating system (iOS) -- Windows operating system -- Other operating systems -- Mobile application security -- The best security practices -- Conclusion…”
Sisällysluettelo:
“…Application Menus -- The File Menu -- The Edit Menu -- The View Menu -- The Debug Menu -- The Window Menu -- The Help Menu -- New Project -- Starting the Game -- Debugging Scripts -- Using Breakpoints -- Using the Locals Tab and the Callstack -- Summary -- Chapter 5: Making a Diner with a Rotating Sign -- Technical Requirements -- Preparing the Mod Folder Structure -- Creating Mod Scripts -- Creating XML Files -- Creating Lua Files -- Testing the Mod -- Summary -- Chapter 6: Rotating Mower Mod -- Technical Requirements -- Creating Mod Scripts -- Creating XML Files -- Creating Lua Files -- Testing the Mod -- Summary -- Chapter 7: Speed Trap Trailer Mod -- Speed Trap Trailer Mod -- Technical Requirements -- Creating Mod Scripts -- Creating XML Files -- Creating Lua Files -- Testing the Mod -- Summary -- Chapter 8: Mileage Counter HUD Mod -- Technical Requirements -- Creating Mod Scripts -- Creating XML Files -- Creating Lua Files -- Testing the Mod -- Summary -- Chapter 9: Multibale Spawner Mod -- Technical Requirements -- Creating Mod Scripts -- Creating XML Files -- Creating Lua Files -- Testing the Mod -- Summary -- Chapter 10: Money Cheat Mod -- Technical Requirements -- Creating Mod Scripts -- Creating XML Files -- Creating Lua Files -- Testing the Mod -- Summary -- Chapter 11: Publishing on the ModHub -- Technical Requirements -- What Is the ModHub? …”
Sisällysluettelo:
“…Intro -- Title Page -- Copyright Page -- Table of Contents -- Introduction -- About This Book -- Foolish Assumptions -- Icons Used in This Book -- Beyond the Book -- Where to Go from Here -- Part 1 Getting Started with Data Science and Python -- Chapter 1 Discovering the Match between Data Science and Python -- Understanding Python as a Language -- Viewing Python's various uses as a general-purpose language -- Interpreting Python -- Compiling Python -- Defining Data Science -- Considering the emergence of data science -- Outlining the core competencies of a data scientist -- Linking data science, big data, and AI -- Creating the Data Science Pipeline -- Understanding Python's Role in Data Science -- Considering the shifting profile of data scientists -- Working with a multipurpose, simple, and efficient language -- Learning to Use Python Fast -- Loading data -- Training a model -- Viewing a result -- Chapter 2 Introducing Python's Capabilities and Wonders -- Working with Python -- Contributing to data science -- Getting a taste of the language -- Understanding the need for indentation -- Working with Jupyter Notebook and Google Colab -- Performing Rapid Prototyping and Experimentation -- Considering Speed of Execution -- Visualizing Power -- Using the Python Ecosystem for Data Science -- Accessing scientific tools using SciPy -- Performing fundamental scientific computing using NumPy -- Performing data analysis using pandas -- Implementing machine learning using Scikit-learn -- Going for deep learning with Keras and TensorFlow -- Performing analysis efficiently using XGBoost -- Plotting the data using Matplotlib -- Creating graphs with NetworkX -- Chapter 3 Setting Up Python for Data Science -- Working with Anaconda -- Using Jupyter Notebook -- Accessing the Anaconda Prompt -- Installing Anaconda on Windows -- Installing Anaconda on Linux…”