Modes of Delivery
Description
You have already learnt Python basics. It’s now time to master the advanced features of Python and leverage this language to create robust Python packages and improve your overall programming experience. KnowledgeHut’s virtual Python Deep Dive training is aimed at mid-level Python programmers who would like to learn more about its object oriented features and meta programming that will help create more sustainable and scalable code.
We will cover in this Python Deep Dive training all about programmer tools, distributed modules, database access, GUI programming, extending Python and much more.
Here’s what you will learn!
- Pick up where you left off from the Python course and learn all the concepts in detail including new features like meta programming, GUI and networking programming
- Create eye catching GUI with Python
- How to connect to databases and fetch data from records
- Write crisper and more scalable code by using advanced and new features of Python
Is this course right for you?
Python programmers who want to learn the more advanced features of Python will find this course useful.
Prerequisites:
Participants are expected to know how to write simple Python scripts using basic datatypes and its library or should have alternately undergone our course on Python.
Key Features
Curriculum
- Data types
- Sequences
- Mapping types
- Program structure
- Files and console I/O
- Conditionals
- Loops
- Builtins
- The os module
- Environment variables
- Launching external commands
- Walking directory trees
- Paths, directories, and filenames
- Working with file systems
- Dates and times
- The Zen of Python
- Common idioms
- Lambda functions
- List comprehensions
- Generator expressions
- String formatting
- Initialization code
- Namespaces
- Executing modules as scripts
- Documentation
- Packages and name resolution
- Naming conventions
- Using imports
- Defining classes
- Instance methods and data
- Initializers
- Class methods
- Static methods
- Inheritance
- Multiple inheritance
- Pseudo-private variable
- Implicit properties
- globals() and locals()
- Attributes
- The inspect module
- Decorators
- Monkey patching
- Analyzing programs
- Using pylint
- Testing code
- Using unittest
- Debugging
- Profiling
- Distributing modules
- Distribution concepts
- setuptools
- creating setup.py
- building installers
- running installers
- The DB API
- Available Interfaces
- Connecting to a server
- Creating and executing a cursor
- Fetching data
- Parameterized statements
- Metadata
- Transaction control
- Overview
- The mainwindow object
- Widgets
- Colors and fonts
- GUI layout
- Event handling
- Sockets
- Clients
- Servers
- Application protocols
- Forking servers
- Threaded servers
- Binary data
- The struct module
- Why use threads?
- Threads are different
- Variables are shared
- Python threads modules
- The threading module
- The queue module
- The python thread manager
- Debugging threaded programs
- Working with XML
- DOM and SAX
- Introducing ElementTree
- Parsing XML
- Navigating the document
- Creating a new XML document
- JSON
- Parsing JSON into Python
- Converting Python into JSON
- About non-Python modules
- Overview of a C extension
- Creating functions
- Registering functions
- Initialization code
- Loading the module
- The sh namespace
- Running a simple command
- Keyword arguments
- Running commands in the background
- Piping and redirection
- Working with STDIN
- Exit codes
- Advanced features
Our Top Courses
- Agile and Scrum
- Certified Scrum Developer® (CSD)
- Certified ScrumMaster (CSM)®
- CSPO® Certification
- Professional Scrum Master™ I (PSM I) Training
- Leading SAFe® 6.0 Certification
- SAFe® 6.0 for Teams
- DevOps Foundation® Certification
- SAFe® 5 Advanced Scrum Master
- ICAgile - Foundations of DevOps (ICP-FDO) training
reviews on our popular courses See All
KnowledgeHut's Project Management Masters Program offers a clear path for career advancement. The certifications and global relevance of project management skills make it valuable across industries. The program has equipped me with the necessary expertise and boosted my confidence. Job security and growth opportunities are undeniable!
The Azure data engineering course is excellent! Clear explanations and practical projects make learning enjoyable and applicable in real-world scenarios, the progression was very logical.
Investing in KnowledgeHut's Project Management Masters Program was a wise decision. The competitive salaries and certification advantage are exceptional. The program's comprehensive curriculum and industry growth insights have given me an edge in the project management field. Ready to tackle challenging projects with confidence!
I highly recommend KnowledgeHut's Agile Master's Program. The career advancement opportunities are remarkable, and the earning potential is attractive. The program's emphasis on practical skills improved my job performance and increased my professional recognition. A worthwhile investment!
KnowledgeHut's Agile Master's Program is a game-changer. The comprehensive training and globally recognized certifications set me on the path to success. The program's focus on advanced Agile methodologies improved my job performance and gave me a competitive edge in the job market.
KnowledgeHut's Agile Master's Program is exceptional. It provided me with the necessary skills and certifications to excel in the Agile domain. The career advancement opportunities are vast, and the program enhanced my job performance significantly. A must-have for Agile professionals!
Absolutely worth it The Data Science curriculum was very challenging and rigorous, but the trainer hand-held us through the whole learning journey, answered all our doubts and gave us illustrations from his own industry experience. One of the best investments I have ever made.
Attended Data Science Bootcamp with AI workshop in July 2021The Backend boot camp is a great, beginner-friendly program! I started from zero knowledge and learnt everything through the learn-by-doing method.
Attended Back-End Development Bootcamp workshop in July 2021
Noah Carter
Project Coordinator Pham Linh
Software Tester Sophia Khan
Project Analyst Matthew Chen
Product Manager Amanda Rodriguez
Project Manager Emily Wilson
Team Lead Kausik Malakar
Data Architect