The Smartest Way to Learn Python Regex (The Course)
This Course is part of the following Tracks:
Course Info
This course includes 5 attempts.
Learn the best-kept productivity secret of code masters and become a regular expression master too!
Course Material
- Introduction
- Applications
- Quiz 11 attempt allowed
- The function findall()
- Quiz 21 attempt allowed
- The functions search() and compile()
- Quiz 31 attempt allowed
- The dot operator in a regular expression
- Quiz 41 attempt allowed
- The asterisk operator in a regular expression
- Quiz 51 attempt allowed
- The plus operator in a regular expression
- Quiz 61 attempt allowed
- The question mark operator in a regular expression
- Quiz 71 attempt allowed
- Bringing it all together
- Quiz 81 attempt allowed
- Comparing Operators: asterisk vs. dot vs. question mark
- Quiz 91 attempt allowed
- Character Sets
- Quiz 101 attempt allowed
- Start and End of Line
- Quiz 111 attempt allowed
- The Operator And
- Quiz 121 attempt allowed
- The Operator Or
- Quiz 131 attempt allowed
- The function re.sub()
- Quiz 141 attempt allowed
- Special Characters
- Quiz 151 attempt allowed
- Escaping Special Characters
- Quiz 161 attempt allowed
- Count matches with finditer
- Quiz 171 attempt allowed
- Greedy vs. Non-greed Quantifiers
- Quiz 181 attempt allowed
- Groups and Positive Lookahead
- Quiz 191 attempt allowed
- Multiple Repeat Error
- Quiz 201 attempt allowed
- Test Your Knowledge
- Quiz 211 attempt allowed
- Quiz 221 attempt allowed
- Quiz 231 attempt allowed
- Quiz 241 attempt allowed
- Quiz 251 attempt allowed
Instructors
Chris is the founder of the programming education company FINXTER, author of the Coffee Break Python series of self-published books, the popular programming book Python One-Liners (NoStarch 2020), a doctorate computer scientist, and owner of one of the top 10 Python blogs worldwide.
His research interests include graph theory and distributed systems.
You can join the FINXTER email academy and consume a large body of free email courses about various topics in computer science and programming.
I love coding and espacially in Python! Python is easy to learn and at the same time it is very powerful. Through the books I would like to help you to discover this! Therefore we designed our puzzle based teaching approach which helps you to learn quickly what you really need and with fun.
I have been working as a Software developer for several years. Currently I'm in the field of operations/SRE of cloud applications.
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