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Total Size:
3.6 MB
Info Hash:
741CA4A4C8CBB0942656C2C4041E8AB09F8458AD
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Added:
Nov. 4, 2025, 9:09 a.m.
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(Last updated: Nov. 4, 2025, 9:10 a.m.)
| File | Size |
|---|---|
| Lerner R.Python Workout (MEAP 5) 2ed 2025.pdf | 3.6 MB |
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SOURCE: Lerner R.Python Workout (MEAP 5) 2ed 2025
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Textbook in PDF format Practice makes perfect Python! The only way to master a skill is practice, practice, practice. That’s exactly what you’ll do in Python Workout, Second Edition! In this instantly-valuable book you’ll work through 50 carefully selected exercises that flex your programming muscles. This revised new edition covers the latest version of Python and adds updated content and diagrams. In Python Workout, Second Edition you’ll find 50 exercises, including: Working with text using strings Mastering dictionaries and sets Reading, writing, and manipulating files Functional programming with comprehensions Python modules and packages Creating iterable objects To become a champion Python programmer you need to build mental muscle by putting your hands on the keyboard. Each carefully selected exercise in this unique book adds to your Python prowess—one important skill at a time. You’ll practice core Python language features and techniques that reinforce the programming patterns you’ll use every day and build the skills you need to troubleshoot your programs. For many years, people either learned to program in easy-to-learn, underpowered programming languages, like Basic or Scratch, or in hard-to-learn serious languages, such as C and Java. If you’re an experienced developer, then C and Java might not seem that overwhelming or difficult — but to someone new to the field, such languages have extremely steep learning curves. But Python is also attractive to experienced developers. Its rich core data structures, first-class functions, flexible objects, generators, support for concurrency, and cross-platform support make it an attractive alternative to other languages. On no small number of occasions, my students have expressed surprise by what I’m able to do in just three or four lines of Python, saying, "Do you know how much Java I would need to write to do the same thing?" Python is particularly popular among people working with data (data analysts, data engineers, data scientists), devops engineers, Web developers, and people writing automated tests. But it has also made inroads among educators
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