Who This Book is For How to Read This Book Acknowledgments Part 1: Saving Time and Aggravation Chapter 0: Simplifying Repetitive Calculations 0.0 Problem 0.1 Solution Chapter 1: Automating Repetitive Calculations 1.0 Problem 1.1 Solution 1.2 Code Chapter 1 Exercises Chapter 2: Automating the Plotting of Data 2.0 Problem 2.1 Solution 2.
2 Code Chapter 2 Exercises Chapter 3: Plotting Multiple Data Sets 3.0 Problem 3.1 Solution 3.2 Code Chapter 3 Exercies Chapter 4: Generating Molecular Structures and Annotating Plots 4.0 Problem 4.1 Solution 4.2 Code Chapter 4 Exercises Part 2: Modeling and Fitting Data Chapter 5: Fitting Equations to Data 5.0 Problem 5.
1 Solution 5.2 Code Chapter 5 Exercises Chapter 6: Fitting Data with Multiple Components 6.0 Problem 6.1 Solution 6.2 Code Chapter 6 Exercises Chapter 7: Fitting Simulations to Data 7.0 Problem 7.1 Solution 7.2 Code Chapter 7 Exercises Chapter 8: Simulating Chemical Kinetics 8.
0 Problem 8.1 Solution 8.2 Code Chapter 8 Exercises Part 3: Analyzing Numerical Data Chapter 9: Integrating Data Numerically 9.0 Problem 9.1 Background 9.2 Solution 9.3 Code Chapter 9 Exercises Chapter 10: Smoothing Data Responsibly 10.0 Problem 10.
1 Solution 10.2 Code Chapter 10 Exercises Chapter 11: Interpolating Between Data Points 11.0 Problem 11.1 Background 11.2 Solution 11.3 Code Chapter 11 Exercises Chapter 12: Finding Peaks 12.0 Problem 12.1 Background 12.
2 Solution 12.3 Code Chapter 12 Exercises Chapter 13: Computing Numerical Derivatives 13.0 Problem 13.1 Solution 13.2 Code Chapter 13 Exercises Part 4: Reporting and Sharing Results Chapter 14: Producing Structured Data Files 14.0 Problem 14.1 Writing a CSV File 14.2 Code to Produce a CSV File 14.
3 Writing a Microsoft Word File 14.4 Code to Produce a DOCX File Chapter 14 Exercises Chapter 15: Reading, Editing, and Writing Excel Files 15.0 Problem 15.1 Solution 15.2 Code Chapter 15 Exercises Chapter 16: Automating Basic Image Processing 16.0 Problem 16.1 Solution 16.2 Code Chapter 16 Exercises Part 5: Moving Beyond This Book Chapter 17: Thinking About Your Next Steps 17.
1 Managing Research Projects 17.2 Incorporating Advanced Analysis 17.3 Expanding Your Coding Toolset 17.4 Sharing Your Research Products 17.5 Finding Instruction Not Covered in this Book Chapter 17 Exercises Part 6: Technical Details Chapter A: Computers A.0 A Computer Is Not Just a Laptop or a Rack of Servers A.1 Computers Convert Input Data Into Output Data A.2 You Are Used to Working with a "Software Stack" Chapter B: Data Types B.
0 Types that Deal with Numbers B.1 Collections Let Us Hold Multiple Elements and have New Behaviors B.2 Common Types Added by Libraries B.3 Numpy Arrays Allow for Vectorization of Data B.4 The Pillow Image Type Lets You Store, Manipulate, and Display Images B.5 The Plotly Figure Lets You Build and Display Plots of Data Chapter C: Working with Text C.0 What is Text Data? C.1 Working with Text in Python Using Strings Chapter D: Files and Folders D.
0 Understanding the File System D.1 File System Metadata Provides Additional Information Beyond File and Folder Contents D.2 Python Provides a Built-in Library to Work with the File System, But You Should Usually Use pathlib Instead Chapter E: Pathlib E.0 Creating a path Object E.1 Accessing Components of path Objects E.2 Modifying Existing path Objects Chapter F: Control Structures F.0 Getting Yes or No Answers: Comparisions and Boolean Logic F.1 Conditionals: Choosing Between Two or More Options F.
2 Loops: Doing the Same Operations Over and Over Chapter G: Functions G.0 Creating and Using Functions G.1 Function Parameters G.2 Scope G.3 Use copy.deepcopy() to Pass Mutable Objects to Functions G.4 Recursion Chapter H: Common Errors H.0 General Advice H.
1 Syntax Errors H.2 Segmentation Faults H.3 Overflow H.4 Using Mutable Objects Incorrectly Chapter I: Plotly I.0 The Basics of Plotting Using Plotly I.1 Controlling Formatting During Plot Construction I.2 Understanding the Structure of Plotly Figure Objects I.3 Other Tasks I.
4 The codechembook Plotly Wrappers.