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Python 201 - Interactively Learn Advanced Concepts in Python 3
Delve into intermediate and advanced Python: explore key modules, understand Unicode, generators, iterators, master web tasks and effective code testing for enhanced programming skills.
4.5
149 Lessons
3 Projects
11h
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Learning Roadmap
2.
An Intro to Argument Parsing Using argparse
An Intro to Argument Parsing Using argparse
Look at using argparse for processing command-line arguments, adding arguments, and handling conflicting options.
3.
The Collections Module
The Collections Module
7 Lessons
7 Lessons
Examine the specialized container datatypes in Python’s collections module for enhanced functionality.
4.
Context Managers
Context Managers
4 Lessons
4 Lessons
Grasp the fundamentals of context managers, contextlib, ExitStack, and reentrant context managers in Python.
5.
The Functools Module
The Functools Module
5 Lessons
5 Lessons
Dig deeper into Python's functools module for enhanced function manipulation and efficiency.
6.
All About Imports
All About Imports
6 Lessons
6 Lessons
Tackle advanced import techniques to improve code organization and efficiency in Python.
7.
The importlib Module
The importlib Module
6 Lessons
6 Lessons
Master the steps to use the importlib module for dynamic imports and custom loaders.
8.
Iterators and Generators
Iterators and Generators
4 Lessons
4 Lessons
Learn how to use iterators and generators in Python for efficient data processing.
9.
The Itertools Module
The Itertools Module
7 Lessons
7 Lessons
Get started with Python's itertools module to enhance iterators and data manipulation.
10.
Regular Expressions
Regular Expressions
8 Lessons
8 Lessons
Go hands-on with advanced regex concepts, from matching characters to compilation techniques.
11.
The Typing Module
The Typing Module
2 Lessons
2 Lessons
Break down complex ideas on Python's typing module and type hints.
12.
Python Built-ins
Python Built-ins
5 Lessons
5 Lessons
Deepen your knowledge of Python built-ins for efficient and secure coding.
13.
Unicode
Unicode
2 Lessons
2 Lessons
See how it works: Unicode enhances string handling in Python 3 resolving encoding complexities.
14.
Benchmarking
Benchmarking
7 Lessons
7 Lessons
Build on benchmarking techniques using `timeit`, profiling, memory_profiler, and profilehooks for performance analysis.
15.
Encryption and Cryptography
Encryption and Cryptography
5 Lessons
5 Lessons
Step through Python's hashing, key derivation, and cryptographic operations with libraries like PyCryptodome.
16.
Databases
Databases
7 Lessons
7 Lessons
Walk through advanced database interactions in Python using SQL, ODBC, MySQL, PostgreSQL, ORMs, and MongoDB.
17.
The Super Built-in
The Super Built-in
4 Lessons
4 Lessons
Examine the super built-in function, class inheritance improvements, and Method Resolution Order (MRO).
18.
Descriptors
Descriptors
2 Lessons
2 Lessons
Break down the steps to manage and customize attribute access using descriptors.
19.
Scope
Scope
5 Lessons
5 Lessons
Deepen your knowledge of Python scope, including local, global, and nonlocal variables.
20.
Web Scraping
Web Scraping
5 Lessons
5 Lessons
Simplify complex topics of web scraping, data extraction, BeautifulSoup usage, and Scrapy framework.
21.
Web APIs
Web APIs
5 Lessons
5 Lessons
Master the steps to interacting with Twitter, Reddit, Wikipedia, and other APIs using Python.
22.
Working with FTP
Working with FTP
2 Lessons
2 Lessons
Learn how to use Python's ftplib for FTP file transfers, secure connections, and managing directories.
23.
The urllib Module
The urllib Module
5 Lessons
5 Lessons
Look at Python's urllib module for URL handling, fetching, parsing, and accessing URL permissions.
24.
The doctest Module
The doctest Module
5 Lessons
5 Lessons
Examine the doctest module's use for validating code with docstring examples and option flags.
25.
The unittest Module
The unittest Module
8 Lessons
8 Lessons
Break down complex ideas of Python's unittest module for effective, automated testing.
26.
The mock Module
The mock Module
5 Lessons
5 Lessons
Solve problems in using Python's mock module to simulate interactions and prevent side effects.
27.
An Intro to coverage.py
An Intro to coverage.py
2 Lessons
2 Lessons
Investigate measuring test coverage and generating reports with coverage.py tool.
28.
The asyncio Module
The asyncio Module
7 Lessons
7 Lessons
Master the steps to leveraging asyncio for asynchronous programming, using coroutines, async/await, and task scheduling.
29.
The Threading Module
The Threading Module
6 Lessons
6 Lessons
Learn how to use Python's threading module for multitasking, synchronization, and thread communication.
30.
The Multiprocessing Module
The Multiprocessing Module
5 Lessons
5 Lessons
Get started with Python's multiprocessing for parallel execution, process control, and communication.
31.
The concurrent.futures Module
The concurrent.futures Module
3 Lessons
3 Lessons
Work your way through using Python’s concurrent.futures for asynchronous execution and avoid deadlocks.
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ABOUT THIS COURSE
This course will help you take the next level in your programming journey. It will demonstrate the ways you can use Python in your day-to-day work. We will cover intermediate and some advanced-level material in this course. Python 201 is split into four parts; Part one covers intermediate modules. Part two covers topics such as Unicode, generators, and iterators. Part three covers web-related tasks with Python. Part four covers testing code.
ABOUT THE AUTHOR
Michael Driscoll
Michael has been programming with Python since 2006. He is the author of the popular Python blog, The Mouse Vs. the Python as well as 7 books on the Python programming language. Michael has been a technical reviewer for Packt Publishing for several years.
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