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1. Introduction
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2. Variables & Data Types
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3. Lists, Slicing & Dictionaries
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4. String Indexing & Manipulation
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5. Conditional Statements & Loops
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6. Modules, Functions, & Plots
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7. Managing Files and Directory Navigation
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8. Interacting with PC info, excel, CSV, and PDF files
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9a. Data Science: Introduction to the Pandas library
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9b. Pandas Fundamentals
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9c. Data Science: Fitting and Modifying Data With Numpy
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9d. Pandas: Reorder Columns and Outlier Removal
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9e. Example Pandas Dataset
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9f. SQL for Pandas
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A.2 Exercises: Fundamental
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A.3 Exercises: General
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A.4 Exercises: Extra
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A.6. Exercises: OOP
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A.7 Exercises: Pandas
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B. Creating and Running Python Files
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B.1 BlockChain with Haslib
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B.2 Bokeh Visualisation
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B.3 Setup Python Environment
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B4. Data Structures and Algorithms
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C.1 Lesson Args & Kwargs
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