
Install Python on Mac using the Anaconda distribution, including Jupyter notebooks and essential packages, with options for graphical or online installers and guidance on licensing and customization.
Install Python on Windows using the Anaconda distribution. Manage packages and environments with conda, and use Jupiter notebooks for Python development.
Master regular expressions as pattern strings for text processing. Explore core methods like match and find all, plus split and compile, in Ruby, Python, and C/C++.
Explore python regular expressions using the module's methods: search, match, find, findall, and replace; split strings; compile patterns; and access start and end positions.
Learn to write regular expressions with greedy and non-greedy repetitions, covering quantifiers, dot, character sets, ranges, anchors, and groups including named groups, through practical examples.
Learn to write regular expressions using character sets in square brackets and ranges, including inclusion and exclusion, and repetition to match words and text with practical examples.
Learn to write Python regular expressions using escape codes, anchoring, and flags, with practical patterns for whitespace, digits, word boundaries, and start or end of string.
Explore regular expressions with capturing and named groups, learn to reference and label submatches, and build patterns using digits, dashes, character sets, and anchors to parse text like phone numbers.
Explore writing regular expressions with a practical, step-by-step example, starting with simple patterns and expanding to complex phone-number formats using groups, options, and named captures.
Python Regular Expressions With Examples. course gives you comprehensive overview of Python's RE module.
Here are some important topics:
1. What are Regular Expressions.
2. RE module methods:
3. Writing regular expression patterns using:
All these are explained with lots of code examples. Course includes a quiz.