Introduction
What is Python? • The Python World • Python Implementations • The Python Shell • Running Python Programs From a File • The Python Command Line
Language Basics
Numbers • Strings • Type Conversions • Built-in Functions • String Index • String Slice • String Methods • Find and Replace • Splitting Strings • Simple Formatting
Control Statements
Comments • if Statements • Comparison and Boolean Operators • Conditional Expression • Operators • for Statements • break • continue • while Statements • assert Statements • Functions • global Variables • nonlocal Variables • Lines and Continuation • IDLE
Lists, Tuples, and Dictionaries
Lists • Length, Concatenate, Repeat • Append, Insert, Pop, Extend, Remove • Index • Loops and Lists • Sorting Lists • List Comparison • Tuples • Dictionaries • Sets
Formatting
F-Strings • Field Width, Justification, Padding • Number Base, Comma, Sign • Floating Point
Files and Exceptions
Reading Standard Input • Writing to a File • Writing Files using Print • Reading from a File • Variations • readline • Exceptions • Context Manager
Classes
Classes • Objects • Methods • Constructors • Data Attributes • Class Variables and Instance Variables • Class vs Object vs Function vs Method • The LEGB Scope Rule • Documentation Strings
Inheritance
Inheritance • Overriding Methods • Overriding the Constructor • Virtual Method Calls • Multiple Inheritance • Testing Class Relationships • Tying Variables to a Class • Duck Typing
Copying Objects
Copying Instance Objects • Copying Lists • Assigning to a Slice • Shallow Copying
Magic Methods
Defining Magic Methods • + • int and round • str and repr • Some Useful Magic Methods
Iterators and Generators
Sequence, Iterator, Iterable • Iterable Unpacking • Generators • List Comprehensions • Generator Expressions • lambda • map • filter, enumerate • zip • join • Dictionary Comprehensions
Exploring Functions
Default and Keyword Arguments • Argument Lists • None • Type Hints • Functions as Objects • Higher-Order Functions • Decorator Pattern • A Useful Decorator • Closures
Modules
import • from ... import • __name__ • Running Modules from the Command Line • Packages • The Python Package Index • pip
The Standard Library
math • random • statistics • datetime • time • timeit • os • os.path • os.environ • shutil • glob • sys • subprocess
Regular Expressions
match • Group and Groups • Character Classes • Shorthands • Anchors • Greedy versus Non-greedy • search • findall • Filter the Output from Another Program • sub
Argparse
Positional Arguments • Usage and Help • Option Arguments • Options With and Without Values • Optional Values • nargs • Description, Epilog, Help • Prefix, Choices, Required
Virtual Environments
Tools for Distribution and Installation • pyenv • venv • Creating and Activating Virtual Environments • Sandboxing • pip freeze and Cloning • Version Pinning • pipenv • PyInstaller
TDD and Pytest
What is TDD? • The TDD Process • The Four-Phase Test Pattern • Fakes and Test Doubles • Pytest Architecture • A Simple Test • A Failing Test • Test Discovery • Grouping Tests in a Class • Testing that an Exception is Raised • Skipped Tests and Expected Failures • Test Summary Report • Running in a Temporary Directory • Monkey Patch Test Fixture • User-Defined Test Fixture
Extending Python with C
Extending Python • Numba • C Foreign Function Interface • Building and Running with CFFI • Compiling from C Header and Source Files • Building from a Shared Object File • Pointers and Structures • CFFI Build Script • ffi.new • Cython • Cython Language • Comparing Numba, Cython, and cffi • Compare the Speed
NumPy
The NumPy Array • A 2-D Array • More Dimensions • Initializing Arrays • Arithmetic Series • Random Arrays • Copying the Shape of an Array • reshape • Adding Dimensions • ravel • transpose • Sorting • Reduction Functions • Plotting with Matplotlib
NumPy Broadcasting and Indexing
Elementwise Operations • Elementwise Compare • Combining Arrays and Scalars • Broadcasting • Row and Column Vectors • One-Hot Encoding • Dot Product • Vectorizing a Function • Array-of-Indices • Array-of-Booleans • Grids • linspace-like ogrid • Concatentate and Stack • Split • Tile
Matplotlib
Plotting with Lines, Colors, and Markers • Text and Legend • Matplotlib APIs • Subplots • Subplots versus Figures in pyplot API • Log Axes • Types of Plot • Histogram • Plotting an Array as a Grid • Scatterplot • Numpy meshgrid • 3-D Surface Plot • Pandas • Seaborn • Seaborn Pairplot
Pandas
Pandas Data Structures • Pandas Series • Pandas DataFrame • index and columns • Basic Indexing - Series • Basic Indexing - DataFrame • loc and iloc • Slicing and Dicing • Copying and Concatentation • Querying a Dataframe • Adding Columns to a Dataframe • reset_index, set_index, and reindex • Importing and Exporting DataFrames • Time Series and Alignment • Basic Statistics • Histogram • Plotting • Handling Undefined Data • Fill Options • Data Transformations • SQL-like Merge • Outer Merge • Groupby • Hierarchical Index • Hierarchical Row and Column Indexes • Stack • Unstack • Pivot Table
Customized Topics (on-site, team-based training)
We can also present supplemental content to address the specific requirements of your team, for example:
- Multithreading and multiprocessing
- Python on embedded processors
- Python Coding Style and Guidelines
- Moving from Python 2 to Python 3
Please contact Doulos to discuss your specific requirements.
