Modern Python: Big Ideas and Little Code in Python LiveLessons

Modern Python LiveLessons: Big Ideas and Little Code in Python provides developers with an approach to programming in Python that expresses big ideas succinctly, with the minimum of code, allowing the business logic to shine through.

Modern Python: Big Ideas and Little Code in Python LiveLessons

Course Description

Modern Python LiveLessons: Big Ideas and Little Code in Python provides developers with an approach to programming in Python that expresses big ideas succinctly, with the minimum of code, allowing the business logic to shine through. It does so using a number of relevant examples from current problems, including data analytics and social media. In this video training from Pearson, Raymond Hettinger starts by introducing modern Python foundational skills, tools, and techniques in the first half of the lessons. In the second part he shows you how to apply the tools and techniques to a real application. What you will learn: How to use continuous and discreet functions in the random module, collections.Counter(), lambda, list operations, chained comparisons, and f-strings How to use random.choice() and random.sample(); d... Read More »

Modern Python LiveLessons: Big Ideas and Little Code in Python provides developers with an approach to programming in Python that expresses big ideas succinctly, with the minimum of code, allowing the business logic to shine through. It does so using a number of relevant examples from current problems, including data analytics and social media.

In this video training from Pearson, Raymond Hettinger starts by introducing modern Python foundational skills, tools, and techniques in the first half of the lessons. In the second part he shows you how to apply the tools and techniques to a real application.

What you will learn:

  • How to use continuous and discreet functions in the random module, collections.Counter(), lambda, list operations, chained comparisons, and f-strings
  • How to use random.choice() and random.sample(); do resampling, bootstrapping, and significance testing; and run simulations
  • How to run static analysis on code with type hints and use static type checking
  • How to use defaultdict for grouping, key functions for data ordering, and zip* to transpose data, and how to flatten 2D data with multiple loops and list comprehension
  • How to use k-means to implement unsupervised learning
  • More defaultdict skills with which to pivot and accumulate data and reverse a one-to-many mapping
  • How to use sorted, bisect, and merge and how to conserve memory with string interning
  • How to normalize text and use the hashing tools in hashlib
  • How to use Bottle to build REST APIs and web applications
  • How to test using pytest, itertools, Hypothesis, pyflakes, mypy, and data validators
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Course Details:

Target Audience

  • Developers looking to improve their modern Pythons skills.
  • Prerequisites

  • Basic understanding of programming and development
  • Familiarity with the Python language
  • Certificate Info:

    Type of Certification

    Certificate of Completion

    Format of Certification

    Digital and Print

    Professional Association/Affiliation

    This certificate is issued by Pearson LearnIT

    Method of Obtaining Certification

    Upon successful completion of the course, participants will receive a certificate of completion.

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