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Coding All-In-One for Dummies.

Author: Wiley.
Publisher: For Dummies, 20170501.
Edition/Format:   Print book : English
The demand for people with coding know-how exceeds the number of people who understand the languages that power technology. Coding All-in-One For Dummies gives you an ideal place to start when you're ready to add this valuable asset to your professional repertoire. Whether you need to learn how coding works to build a web page or an application or see how coding drives the data revolution, this resource introduces  Read more...

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Document Type: Book
All Authors / Contributors: Wiley.
ISBN: 9781119363026 1119363020
OCLC Number: 1000376257
Description: 1 volume
Contents: Introduction 1About This Book 2Foolish Assumptions 2Icons Used in This Book 3Beyond the Book 4Where to Go from Here 4Book 1: Getting Started with Coding 5Chapter 1: What Is Coding? 7Defining What Code Is 8Understanding What Coding Can Do for You 9Surveying the Types of Programming Languages 13Taking a Tour of a Web App Built with Code 16Chapter 2: Programming for the Web 19Displaying Web Pages on Your Desktop and Mobile Device 20Coding Web Applications 26Coding Mobile Applications 28Chapter 3: Becoming a Programmer 33Writing Code Using a Process 33Picking Tools for the Job 38Book 2: Career Building with Coding 43Chapter 1: Exploring Coding Career Paths 45Augmenting Your Existing Job 46Finding a New Coding Job 52Chapter 2: Exploring Undergraduate and Graduate Degrees 59Getting a College Degree 60Enrolling in an Advanced Degree Program 65Interning to Build Credibility 68Chapter 3: Training on the Job 73Taking a Work Project to the Next Level 74Learning on the Job and after Work 75Freelancing to Build Confidence and Skills 79Transitioning to a New Role 80Chapter 4: Coding Career Myths 83Educational Myths 83Career Myths 87Book 3: Basic Web Coding 93Chapter 1: Exploring Basic HTML 95What Does HTML Do? 95Understanding HTML Structure 96Getting Familiar with Common HTML Tasks and Tags 102Styling Me Pretty 107Building Your First Website Using HTML 109Chapter 2: Getting More Out of HTML 113Organizing Content on the Page 113Listing Data 115Putting Data in Tables 118Filling Out Forms 124Practicing More with HTML 127Chapter 3: Getting Stylish with CSS 129What Does CSS Do? 129CSS Structure 131Common CSS Tasks and Selectors 135Styling Me Pretty 146Chapter 4: Next Steps with CSS 151Styling (More) Elements on Your Page 152Selecting Elements to Style 157Aligning and Laying Out Your Elements 163Writing More Advanced CSS 172Chapter 5: Building Floating Page Layouts 173Creating a Basic Two-Column Design 173Building a Three-Column Design 185Building a Fixed-Width Layout 193Building a Centered Fixed-Width Layout 196Chapter 6: Using Alternative Positioning 201Working with Absolute Positioning 201Managing z-index 206Building a Page Layout with Absolute Positioning 208Creating a More Flexible Layout 212Exploring Other Types of Positioning 216Flexible Box Layout Model 221Book 4: Advanced Web Coding 231Chapter 1: Working Faster with Twitter Bootstrap 233Figuring Out What Bootstrap Does 234Installing Bootstrap 235Understanding the Layout Options 236Coding Basic Web Page Elements 243Build the Airbnb Home Page 247Chapter 2: Adding in JavaScript 249What Does JavaScript Do? 249Understanding JavaScript Structure 251Coding Common JavaScript Tasks 253Writing Your First JavaScript Program 263Using JavaScript Libraries 267Chapter 3: Understanding Callbacks and Closures 269What Are Callbacks? 269Understanding Closures 274Using Closures 277Chapter 4: Embracing AJAX and JSON 279Working behind the Scenes with AJAX 279Putting Objects in Motion with JSON 289Chapter 5: jQuery 295Writing More and Doing Less 295Getting Started with jQuery 296The jQuery Object 297Is Your Document Ready? 298Using jQuery Selectors 298Changing Things with jQuery 300Events 302Effects 305AJAX 309Book 5: Creating Web Applications 311Chapter 1: Building Your Own App 313Building a Location-Based Offer App 313Following an App Development Process 315Planning Your First Web Application 316Exploring the Overall Process 317Meeting the People Who Bring a Web App to Life 319Chapter 2: Researching Your First Web Application 325Dividing the App into Steps 326Identifying Research Sources 333Researching the Steps in the McDuck's Offer App 335Choosing a Solution for Each Step 338Chapter 3: Coding and Debugging Your First Web Application 341Getting Ready to Code 342Coding Your First Web Application 342Debugging Your App 350Book 6: Selecting Data Analysis Tools 351Chapter 1: Wrapping Your Head around Python 353What Does Python Do? 354Defining Python Structure 355Coding Common Python Tasks and Commands 357Shaping Your Strings 363Building a Simple Tip Calculator Using Python 365Chapter 2: Installing a Python Distribution 367Choosing a Python Distribution with Machine Learning in Mind 368Installing Python on Linux 371Installing Python on Mac OS X 372Installing Python on Windows 374Downloading the Data Sets and Example Code 378Chapter 3: Working with Real Data 387Uploading, Streaming, and Sampling Data 388Accessing Data in Structured Flat-File Form 392Reading from a text file 393Reading CSV delimited format 394Reading Excel and other Microsoft Office files 396Sending Data in Unstructured File Form 397Managing Data from Relational Databases 400Interacting with Data from NoSQL Databases 401Accessing Data from the Web 402Book 7: Evaluating Data 405Chapter 1: Conditioning Your Data 407Juggling between NumPy and pandas 408Validating Your Data 409Manipulating Categorical Variables 414Dealing with Dates in Your Data 419Dealing with Missing Data 421Slicing and Dicing: Filtering and Selecting Data 424Concatenating and Transforming 426Aggregating Data at Any Level 430Chapter 2: Shaping Data 433Working with HTML Pages 434Working with Raw Text 436Using the Bag of Words Model and Beyond 442Working with Graph Data 447Chapter 3: Getting a Crash Course in MatPlotLib 451Starting with a Graph 452Setting the Axis, Ticks, Grids 455Defining the Line Appearance 458Using Labels, Annotations, and Legends 462Chapter 4: Visualizing the Data 467Choosing the Right Graph 468Creating Advanced Scatterplots 475Plotting Time Series 478Plotting Geographical Data 481Visualizing Graphs 483Chapter 5: Exploring Data Analysis 489The EDA Approach 490Defining Descriptive Statistics for Numeric Data 491Counting for Categorical Data 495Creating Applied Visualization for EDA 498Understanding Correlation 504Modifying Data Distributions 508Chapter 6: Exploring Four Simple and Effective Algorithms 511Guessing the Number: Linear Regression 512Moving to Logistic Regression 515Making Things as Simple as Naive Bayes 518Learning Lazily with Nearest Neighbors 522Book 8: Essentials of Machine Learning 527Chapter 1: Introducing How Machines Learn 529Getting the Real Story about AI 530Learning in the Age of Big Data 541Chapter 2: Demystifying the Math behind Machine Learning 553Working with Data 554Exploring the World of Probabilities 563Describing the Use of Statistics 568Chapter 3: Descending the Right Curve 571Interpreting Learning as Optimization 572Exploring Cost Functions 576Descending the Error Curve 578Updating by Mini-Batch and Online 581Chapter 4: Validating Machine Learning 585Checking Out-of-Sample Errors 586Getting to Know the Limits of Bias 589Keeping Model Complexity in Mind 591Keeping Solutions Balanced 592Training, Validating, and Testing 595Resorting to Cross-Validation 596Looking for Alternatives in Validation 597Optimizing Cross-Validation Choices 598Avoiding Sample Bias and Leakage Traps 601Book 9: Applying Machine Learning 603Chapter 1: Starting with Simple Learners 605Discovering the Incredible Perceptron 606Growing Greedy Classification Trees 610Taking a Probabilistic Turn 615Chapter 2: Leveraging Similarity 623Measuring Similarity between Vectors 624Using Distances to Locate Clusters 626Tuning the K-Means Algorithm 630Searching for Classification by k-Nearest Neighbors 637Leveraging the Correct K Parameter 638Chapter 3: Hitting Complexity with Neural Networks 643Learning and Imitating from Nature 644Struggling with Overfitting 653Introducing Deep Learning 657Chapter 4: Resorting to Ensembles of Learners 661Leveraging Decision Trees 662Working with Almost Random Guesses 670Boosting Smart Predictors 673Averaging Different Predictors 676Chapter 5: Real-World Applications 677Classifying Images 677Scoring Opinions and Sentiments 691Using Scoring and Classification 703Recommending Products and Movies 710Index 725


See all the things coding can accomplish The demand for people with coding know-how exceeds the number of people who understand the languages that power technology. Coding All-in-One For Dummies  Read more...


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