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Python Certification – Certified Associate in Python Programming (PCAP)

PCAP – Certified Associate in Python Programming

Python is a popular general-purpose programming language that can be used for a wide variety of applications. Python is often used for developing websites and software, task automation, data analysis and visualization. Since it's relatively easy to learn, Python has been adopted by many non-programmers such as accountants and scientists, for a variety of everyday tasks, like organizing finances. It includes high-level data structures, dynamic typing, dynamic binding, and many more features that make it as useful for complex application development as it is for scripting or “glue code” that connects components together.

You will find Python tested in exams such as the Cisco CCNA, Cisco DevNet Associate, CompTIA Data+ and many others.

This course will prepare you for the Python Institute PCAP Certified Associate in Python Certification Programming Exam. We take you from complete beginner to exam ready. Watch the theory videos, follow along with the hands-on labs using free software and take our quizzes.

This course will take you to an intermediate level Python certification level. Included are several hands-on labs (using free software) where you can follow-along with a Python certification expert as you:

  • Modules and Packages
  • Exceptions
  • Strings
  • Object-Oriented Programming
  • List Comprehensions
  • Lambdas, Closures
  • I/O Operations

By the end of the course you will be confident in using Python and ready to apply for associate level jobs.

gagik
SUBSCRIBE NOW

Your Instructor

Gagik Khalafyan

Gagik is a professional data scientist with several years of experience. He holds a MSc in Data Science and Machine Learning and a BA in Business Administration. He has 4+ years of experience in Python and familiarity with different tools, frameworks and libraries of the language including Pandas, Numpy, Matplotlib, Plotly, Scikit-Learn, TensorFlow and Beautiful Soup.

He has high proficiency with SQL for dataset manipulation, data science and economics, and creation of sophisticated models using knowledge from both fields. He is also an expert in Machine Learning, using algorithms of Supervised, Unsupervised and Reinforcement learning.

Here is the PCAP info page.

Here's what is included:

  • Over 8 hours of video training
  • Instructor set follow along labs
  • End-of-course exams
  • End-of-course certificate
  • Access to members only forum
  • Prerequisites – None
  • Recommended – PCEP, Linux Essentials
Module 1 Modules and Packages
Unit 1 Modules
Unit 2 Built-in modules, dir()
Unit 3 'math' module
Unit 4 'random' module
Unit 5 'platform' module
Unit 6 sys.path variable
Unit 7 __pycache__
Unit 8 __name__ variable
Unit 9 Nested packages, directory tree
Module 2 Exceptions
Unit 1 Exceptions, 'try', 'except' blocks
Unit 2 try, except, else, finally blocks
Unit 3 Built-in exceptions
Unit 4 Handling particluar exceptions (except E as e)
Unit 5 Raising exceptions
Module 3 Strings
Unit 1 Strings in binary language
Unit 2 ASCII, Unicode, and UTF-8 coding
Unit 3 ord(), chr() functions
Unit 4 Indexing and slicing strings
Unit 5 Concatenation and multiplication of strings
Unit 6 Iterating through strings
Unit 7 Inmutability of strings
Unit 8 Comparison of strings
Unit 9 'in', 'not in' operators
Unit 10 'in', 'not in' operators
Unit 11 Splitting strings
Unit 12 Joining strings
Unit 13 sorted() function
Unit 14 .find(), .rfind() methods
Module 4 Object-Oriented Programming
Unit 1 Classes and objects - 1
Unit 2 Classes and objects - 2
Unit 3 Classes and objects - 3
Unit 4 Instance vs class variables - 1
Unit 5 Instance vs class variables - 2
Unit 6 Methods - 1
Unit 7 Methods - 2
Unit 8 Name mangling - 1
Unit 9 Name mangling - 2
Unit 10 __dict__ property
Unit 11 Deletion of attributes
Unit 12 Deletion of instance variables, hasattr() method
Unit 13 Inheritance of classes - 1
Unit 14 Inheritance of classes - 2
Unit 15 Multiple inheritance of classes
Unit 16 Overriding of methods
Unit 17 Import of classes, __module__
Unit 18 __bases__ property
Unit 19 'is' and 'is not' operators, id() function
Unit 20 Encapsulation
Unit 21 Polymorphism
Unit 22 __str__() method
Unit 23 User-defined exceptions
Module 5 Miscellaneous (List Comprehensions, Lambdas, Closures, and I/O Operations)
Unit 1 List comprehensions - 1
Unit 2 List comprehensions - 2
Unit 3 Lambda functions - 1
Unit 4 map() function
Unit 5 filter() function
Unit 6 Lambda functions - 2
Unit 7 Closures
Unit 8 Reading files
Unit 9 Writing files
Unit 10 I/O modes: advanced
Module 6 Exams
Unit 1 Exam 1
Unit 2 Exam 2
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