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Python Deep Dive
Rated 4.0/5 based on 357 Votes customer reviews

Python Deep Dive Training

Learn more about Python object oriented features and meta programming that will help in creating more sustainable and scalable code.

  • 32 hours of Instructor-led classes
  • Advanced level
  • Hands-on training
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Modes of Delivery

Key Features

32 hours of Interactive Instructor-led training
Immersive hands-on learning classes
Learn about advanced features of Python language
Understand all about programmer tools, distributed modules, database access, GUI programming, extending Python and much more.
Learn to build, test, and debug Python applications
Our Python experts will guide students in future implementation of the technology

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.  Zeolearn’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. 

 

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

Frequently Asked Questions

Considering that Python is widely used for processing text, numbers, images or scientific data, and finds popular application in many development environments, getting hands on knowledge is an asset, especially if you want to make a career in Python programming. Understanding the advanced features of Python will help make you a better programmer who can write more streamlined code that is maintainable and extendable. You can learn to create amazing GUIs with Python and understand how best to connect with databases. Python being an object oriented programming language, you will also learn more about object oriented programming concepts in this Python Deep Dive course. Zeolearn academy’s Python Deep Dive class is brought to you by experienced and certified instructors who have successfully trained thousands of professionals across the globe and helped them land lucrative careers. This online program is a perfect blend of hands on training and lectures and students would have mastered Python advanced concepts by the end of the workshop.  

  • The more advanced concepts of Python’s object oriented features
  • Understand how to leverage its OS services
  • Create stunning GUIs
  • Connect with and query databases
  • Test and debug applications
  • Work with JSON
  • Use the sh module

Zeolearn brings you online, self-paced, mentor driven courses that not only helps professionals gain theoretical expertise but also the practical experience in a wide variety of courses including courses on Programing such Ruby 101 and Ruby Deep Dive, which are very popular. The fact that our workshops are mentor driven gives us an edge over other training institutes since you can learn from industry experts about the application and challenges of upcoming technologies. We have so far trained thousands of professionals with the skills needed to land lucrative jobs and you could be next!

You will receive Python Deep Dive certification in the form of a course completion certificate.

Towards the end of the course, all participants will be required to work on a project to get hands on familiarity with the concepts learnt. You will build a Python program with support from your mentors. This project, which can also be a live industry project, will be reviewed by our instructors and industry experts. On successful completion, you will be awarded a certificate.

Classes are held on weekdays and weekends. You can check available schedules and choose the batch timings which are convenient for you.

You may be required to put in 10 to 12 hours of effort every week, including the live class, self study and assignments.

Your classes will be held online. All you need is a windows computer with good internet connection to attend your classes online. A headset with microphone is recommended.

You may also attend these classes from your smart phone or tablet.

Don’t worry, you can always access your class recording or opt to attend the missed session again in any other live batch.

Python programmers who want to learn the more advanced features of Python to code better and faster will find this program useful. 

  • Operating system such as Mac OS X, Windows or Linux
  • Python 2.6, 2.7, or 3.x
  • An IDE with Python support (PyCharm Community Edition is an excellent free option, but there are several other good ones
  • Internet Connection

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