Introduction to Python, its various versions and its multiple features
Python refresher
- Data types
- Sequences
- Mapping types
- Program structure
- Files and console I/O
- Conditionals
- Loops
- Built-ins
OS Services
- The OS module
- Environment variables
- Launching external commands
- Walking directory trees
- Paths, directories, and filenames
- Working with file systems
Dates and times
- Basic date and time classes
- Different time formats
- Converting between formats
- Formatting dates and times
- Parsing date/time information
Binary Data
- What is Binary Data?
- Binary vs text
- Using the Struct module
Pythonic Programming
- The Zen of Python
- Common idioms
- Named tuples
- Useful types from collections
- Sorting
- Lambda functions
- List comprehensions
- Generator expressions
Functions, Modules, and packages
- Creating functions
- Function Parameters
- Variable scope
- Creating modules
- Using the import statement
- Module search path (PYTHONPATH)
- Documenting modules
Intermediate Classes
- Classes refresher
- Properties
- Class data/methods
- Inheritance
- Special methods
Meta Programming
- Implicit properties
- globals() and locals()
- Working with object attributes
- The inspect module
- Callable classes
- Decorators
- Monkey patching
Developer Tools
- Analyzing programs with pylint
- Using the debugger
- Profilng code
- Testing speed with benchmarking
Unit tests
- What is a unit test
- Creating a Test cases
- Writing tests
- Running tests
Database access
- The DB API
- Available Interfaces
- Connecting to a server
- Creating and executing a cursor
- Fetching data
- Parameterized statements
- Using Metadata
- Transaction control
- ORMs and NoSQL overview
PyQt
- Overview
- Qt Architecture
- Using designer
- Standard widgets
- Event handling
- Extras
Network Programming
- Built-in classes
- Using requests
- Grabbing web pages
- Sending email
- Working with binary data
- Consuming RESTful services
- Remote access (SSH)
Multiprogramming
- The threading module
- Sharing variables
- The queue module
- The multiprocessing module
- Creating pools
- About async programming
Scripting for System Administration
- Running external programs
- Parsing arguments
- Creating filters to read text files
- Logging
Serializing data
- Working with XML
- XML modules in Python
- Getting started with ElementTree
- Parsing XML
- Updating an XML tree
- Creating a new document
- About JSON
- Reading JSON
- Writing JSON
- Reading/writing CSV files
Conclusion
Who Should Attend
- All students should be able to write simple Python scripts,
- using basic data types,
- program structures,
- and the standard Python library.
Pre-requisites
- All programming concepts
- Must be aware of OOPS and
- System Analysis and Design (SAD)
- Having Strong Analytical Skill
What You Need To Bring
For Classes, which is getting delivered offline, candidate must have their own laptop with Python 3.6 and highter running, A note book, Pen, Pencil (Audio / Video Recorder Not Allowed) For classes delivered online, all participants need either dual monitors or a separate device logged into the online session so that they can do their work on one screen and watch the instructor on the other. A separate computer connected to a projector or large screen TV would be another way for students to see the instructor’s screen simultaneously with working on their own.Amazingly the outcome of the
Key Takeaways
training will boost you in thorough research on Python and its modules. You can set your goal towards your career in Python with Data Analytics as well as Python Developer and can also set your skill to the new and most demanding AI (artifical intelligent) technologies.
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