4.5
Intermediate
11h
Updated 1 month ago
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.
Content
1.
Introduction
1 Lessons
Get familiar with Python's advanced concepts, applications, modules, and web scraping techniques.
2.
An Intro to Argument Parsing Using argparse
3 Lessons
Look at using argparse for processing command-line arguments, adding arguments, and handling conflicting options.
3.
The Collections Module
7 Lessons
Examine the specialized container datatypes in Python’s collections module for enhanced functionality.
4.
Context Managers
4 Lessons
Grasp the fundamentals of context managers, contextlib, ExitStack, and reentrant context managers in Python.
5.
The Functools Module
5 Lessons
Dig deeper into Python's functools module for enhanced function manipulation and efficiency.
6.
All About Imports
6 Lessons
Tackle advanced import techniques to improve code organization and efficiency in Python.
7.
The importlib Module
6 Lessons
Master the steps to use the importlib module for dynamic imports and custom loaders.
8.
Iterators and Generators
4 Lessons
Learn how to use iterators and generators in Python for efficient data processing.
9.
The Itertools Module
7 Lessons
Get started with Python's itertools module to enhance iterators and data manipulation.
10.
Regular Expressions
8 Lessons
Go hands-on with advanced regex concepts, from matching characters to compilation techniques.
11.
The Typing Module
2 Lessons
Break down complex ideas on Python's typing module and type hints.
12.
Python Built-ins
5 Lessons
Deepen your knowledge of Python built-ins for efficient and secure coding.
13.
Unicode
2 Lessons
See how it works: Unicode enhances string handling in Python 3 resolving encoding complexities.
14.
Benchmarking
7 Lessons
Build on benchmarking techniques using `timeit`, profiling, memory_profiler, and profilehooks for performance analysis.
15.
Encryption and Cryptography
5 Lessons
Step through Python's hashing, key derivation, and cryptographic operations with libraries like PyCryptodome.
16.
Databases
7 Lessons
Walk through advanced database interactions in Python using SQL, ODBC, MySQL, PostgreSQL, ORMs, and MongoDB.
17.
The Super Built-in
4 Lessons
Examine the super built-in function, class inheritance improvements, and Method Resolution Order (MRO).
18.
Descriptors
2 Lessons
Break down the steps to manage and customize attribute access using descriptors.
19.
Scope
5 Lessons
Deepen your knowledge of Python scope, including local, global, and nonlocal variables.
20.
Web Scraping
5 Lessons
Simplify complex topics of web scraping, data extraction, BeautifulSoup usage, and Scrapy framework.
21.
Web APIs
5 Lessons
Master the steps to interacting with Twitter, Reddit, Wikipedia, and other APIs using Python.
22.
Working with FTP
2 Lessons
Learn how to use Python's ftplib for FTP file transfers, secure connections, and managing directories.
23.
The urllib Module
5 Lessons
Look at Python's urllib module for URL handling, fetching, parsing, and accessing URL permissions.
24.
The doctest Module
5 Lessons
Examine the doctest module's use for validating code with docstring examples and option flags.
25.
The unittest Module
8 Lessons
Break down complex ideas of Python's unittest module for effective, automated testing.
26.
The mock Module
5 Lessons
Solve problems in using Python's mock module to simulate interactions and prevent side effects.
27.
An Intro to coverage.py
2 Lessons
Investigate measuring test coverage and generating reports with coverage.py tool.
28.
The asyncio Module
7 Lessons
Master the steps to leveraging asyncio for asynchronous programming, using coroutines, async/await, and task scheduling.
29.
The Threading Module
6 Lessons
Learn how to use Python's threading module for multitasking, synchronization, and thread communication.
30.
The Multiprocessing Module
5 Lessons
Get started with Python's multiprocessing for parallel execution, process control, and communication.
31.
The concurrent.futures Module
3 Lessons
Work your way through using Python’s concurrent.futures for asynchronous execution and avoid deadlocks.
32.
Wrapping Up
1 Lessons
Grasp the fundamentals of advanced Python concepts and solidify your learning.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
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