Advanced Python
Training at a glance
Level
Intermediate
Duration
5 Days
Experience
1 year: Programming
Average Salary
$118,400
Labs
Yes
Level
Intermediate
Duration
5 Days
Experience
1 years: Programming
Average Salary
$118,400
Labs
Yes
Training Details
- Enhancements to classes
- Advanced Python metaprogramming concepts
- Writing robust code using exception handling
- Working with different data structures supported in Python
- Search and replace text with regular expressions
- Easy-to-use and easy-to-maintain modules and packages
- Creating multithreaded and multi-process applications
- Implementing and execute unit tests
Lesson 1
Python refresher- Built-in data types
- Lists and tuples
- Dictionaries and sets
- Program structure
- Files and console I/O
- If statement for and while loops
Data Structures and Algorithms
- Linked list
- Stack
- Queue
- Trees
- Graphs
- Sorting algorithms
Lesson 2
Errors and Exception Handling
- Syntax errors
- Exceptions
- Using try/catch/else/finally
- Handling multiple exceptions
- Ignoring exceptions
Implementing Regular Expressions
- RE Objects
- Searching and matching
- Using Regular Expression to search data sets
- Searching for data in Wireshark Traces (Python and *.pcaps)
- Compilation flags
- Groups and special groups
- Replacing text
- Splitting strings
Advanced Functional Features of Python
- Advanced unpacking
- List Comprehension
- Anonymous functions
- Lambda expressions
- Generator Expression
- Decorator
- Closure
- Single/multi dispatch
Lesson 3
Metaprogramming
- OOP conventions
- Class/static data and methods
- Parse information to create classes using a dictionary
- Super() method
- Metaclasses
- Abstract base classes
- Implementing protocols (context, iterator, etc.) with special methods
- Implicit properties
- Globals() and locals()
- Working with object attributes
- The inspect module
- Callable classes
- Monkey patching
Metaprogramming
- Paths, directories, and filenames
- Checking for existence
- Permissions and other file attributes
- Walking directory trees
- Creating filters with file input
- Using Shutil for file operations
- OOP conventions
Lesson 4
Advanced Data Structure features in Python
- Use defaultdict, Counter, and namedtuple
- Create data classes
- Store data offline with pickle
- Pretty printing data structures
- Compressed archives (zip, gzip, tar, etc.)
- Persistent data
Multiprogramming
- Concurrent programming
- Multithreading
- The threading module
- Sharing variables
- The queue module
- The multiprocessing module
Lesson 5
Developer Tools
- Analyzing programs with pylint
- Using the debugger
- Profiling code
- Testing speed with benchmarking
Networking
- Using the socket library
- Creating a TCP/IP client and server
- Creating a UDP client and server
- Using the HTTP library
- Sending email with smtplib
Web Scraping and Data Processing
- Using BeautifulSoup
- Using Selenium
- Processing XML
- Processing JSON
- Using pandas for CSV files
This course is designed for students with Python programming literacy who want to learn about advanced Python features and how to automate and simplify tasks.
- Recommended Prerequisite: Python Basics (5 days) Coding experience in another language serves as an adequate prerequisite
- System administrators, network engineers, and developers will find this course compelling as they build and interact APIs that not only return highly parsable datasets, but also trigger scripted actions. Some previous experience with Python is ideal, although, coding experience in another language is also enough to find success within this course.
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