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| # JupyterLite Demo | ||
| # Intermediate Python Course | ||
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| [](https://jupyterlite.github.io/demo) | ||
| [](https://debakarr.github.io/itermediate-python) | ||
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| JupyterLite deployed as a static site to GitHub Pages, for demo purposes. | ||
| [](https://mybinder.org/v2/gh/debakarr/itermediate-python/HEAD) | ||
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| ## ✨ Try it in your browser ✨ | ||
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| ➡️ **https://jupyterlite.github.io/demo** | ||
| ➡️ **https://debakarr.github.io/itermediate-python** | ||
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|  | ||
| # Course content | ||
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| ## Requirements | ||
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| JupyterLite is being tested against modern web browsers: | ||
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| - Firefox 90+ | ||
| - Chromium 89+ | ||
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| ## Deploy your JupyterLite website on GitHub Pages | ||
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| Check out the guide on the JupyterLite documentation: https://jupyterlite.readthedocs.io/en/latest/quickstart/deploy.html | ||
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| ## Further Information and Updates | ||
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| For more info, keep an eye on the JupyterLite documentation: | ||
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| - How-to Guides: https://jupyterlite.readthedocs.io/en/latest/howto/index.html | ||
| - Reference: https://jupyterlite.readthedocs.io/en/latest/reference/index.html | ||
| - [Basic Overview](./01_python_basic_overview.ipynb) | ||
| - Identifiers | ||
| - PEP 8 | ||
| - Numbers | ||
| - Integral Numbers (Integer) | ||
| - Integral Numbers (Boolean) | ||
| - Non-Integral Numbers (Float) | ||
| - Non-Integral Numbers (Complex) | ||
| - Non-Integral Numbers (Decimal) | ||
| - Non-Integral Numbers (Fractions) | ||
| - Sequence | ||
| - Mutable Sequence (List) | ||
| - Immutable Sequence (Tuple) | ||
| - Immutable Sequence (String) | ||
| - Set | ||
| - Mutable Set (Set) | ||
| - Immutable Set (Frozen Set) | ||
| - Mappings | ||
| - Dictionary | ||
| - Callables | ||
| - User-defined Functions | ||
| - Generators | ||
| - Classes | ||
| - Instance Methods | ||
| - Class Instance | ||
| - Built-in Functions | ||
| - Built-in Methods | ||
| - Singletons | ||
| - None | ||
| - NotImplemented | ||
| - Ellipsis | ||
| - Control Flow | ||
| - range() | ||
| - Loops | ||
| - For loop | ||
| - While loop | ||
| - break | ||
| - continue | ||
| - Loop through dictionary (.items() returns dict_item which is nothing but list of tuple) | ||
| - Enumerate for accessing list item along with index | ||
| - Loop inside loop | ||
| - merge two iterable using `zip` | ||
| - pass and continue | ||
| - Exception handling | ||
| - String formatting | ||
| - Old style | ||
| - New style | ||
| - String Interpolationm (f-string) | ||
| - [Intermediate Collections](./02_intemediate_collections.ipynb) | ||
| - Counter | ||
| - defaultdict | ||
| - deque | ||
| - namedtuple | ||
| - [Memory Management in Python](./03_memory_management_in_python.ipynb) | ||
| - Everything is in memory as an object | ||
| - id() function | ||
| - sys.getrefcount(...) | ||
| - Python is dynamically typed | ||
| - Mutability | ||
| - Variable Equality | ||
| - Memory optimization | ||
| - Interning | ||
| - Number Interning | ||
| - String Interning | ||
| - Peephole | ||
| - [Function parameters and arguments](./04_function_parameters_and_arguments.ipynb) | ||
| - Parameters | ||
| - Arguments | ||
| - Argument are always passed by reference | ||
| - Function argument as mutable/immutable | ||
| - Positional and Keyword Argument | ||
| - Unpacking tuple | ||
| - Using unpacking swap value | ||
| - Don't try to unpack set or dictionary key | ||
| - `* for unpacking` | ||
| - `** for unpacking` | ||
| - Unpacking nested value | ||
| - `*args` | ||
| - Mandatory keyword argument | ||
| - Catch all vs no additional positional argument | ||
| - `**kwargs` | ||
| - [Namespace, Scope and Closure](./05_namespaces_scopes_and_closures.ipynb) | ||
| - [Other functions concepts](./06_other_functions_concepts.ipynb) | ||
| - Lambda Expression | ||
| - Limitation of lambda | ||
| - Higher order function | ||
| - Docstrings and Annotation | ||
| - Function introspection | ||
| - Introspection using inspect module | ||
| - Callable | ||
| - built-in functions are callable | ||
| - built-in methods are callable | ||
| - user define function or methods are callable | ||
| - classes and methods (function bound to an object) are callable | ||
| - Generators are callable (discussed in details later section) | ||
| - Decorator | ||
| - Introspecting a decorator | ||
| - functools.wraps | ||
| - Decorators with parameters | ||
| - Decorator for caching | ||
| - [Sequence, Iterator and Generator](./07_sequence_iterators_and_generators.ipynb) | ||
| - Sequences | ||
| - Iterators | ||
| - Creating custom iterator | ||
| - Generators | ||
| - Iterator are more memory-efficient than Generator | ||
| - Generator are faster then Iterator | ||
| - Aggregators | ||
| - Slicing Iterables | ||
| - Selection and Filtering | ||
| - Infinite Iterators | ||
| - Mapping and Reducing | ||
| - Chaining and Teeing | ||
| - Grouping | ||
| - Combinatorics | ||
| - [Content Manager](./08_context_managers.ipynb) | ||
| - Understanding `with` statement | ||
| - context manager using class (`__enter__`, `__exit__`) | ||
| - context manager using `@contextlib.contextmanager` | ||
| - common use case | ||
| - [Building command line interface](./09_argparse/09_argparse.ipynb) | ||
| - Understanding command-line interfaces (CLIs) in Python. | ||
| - Using the argparse module for parsing command-line arguments. | ||
| - Handling positional and optional arguments. | ||
| - Specifying default values and custom type checks for arguments. | ||
| - Defining subcommands for more complex CLIs. | ||
| - Testing | ||
| - Importance of testing in software development. | ||
| - Writing unit tests with the `unittest` module. | ||
| - Using test fixtures and test cases. | ||
| - Test-driven development (TDD) approach. | ||
| - Multithreading and Multiprocessing | ||
| - Differences between multithreading and multiprocessing. | ||
| - Using the `threading` module for multithreading. | ||
| - Utilizing the `multiprocessing` module for multiprocessing. | ||
| - Dealing with thread synchronization and communication. | ||
| - Virtual Environments | ||
| - Understanding the need for virtual environments. | ||
| - Using `venv` to create isolated Python environments. | ||
| - Activating and deactivating virtual environments. | ||
| - Managing dependencies with `requirements.txt` and `pip`. | ||
| - Packaging and Interop | ||
| - Creating Python packages for code organization. | ||
| - Working with `setuptools` for packaging and distribution. | ||
| - Overview of interoperability with other languages (C, C++, etc.). | ||
| - Python Standard Library | ||
| - Exploring key modules in the Python standard library. | ||
| - Using modules for file I/O, datetime, logging, math, etc. | ||
| - Practical applications of standard library modules. | ||
| - Basic Web Microservice | ||
| - Introduction to web services and APIs. | ||
| - Creating a basic microservice using a web framework like Flask. | ||
| - Handling HTTP requests and responses. | ||
| - Deploying the microservice for testing. |