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Advanced Python Course

Learn Most In-demand Python Programming Language from basic to advance

  • 32 hours of Instructor led Training
  • Comprehensive Hands-on Coverage from Basics to Advanced Python
  • Master Data Visualization with Python
  • Learn more with real-life use cases
Group Discount

Description

Python has emerged as the most favoured open-source language for Data Analytics. It is viewed as the next big thing and natural for professionals in the Data Analytics domain to know. Python reduces development time by nearly half with its easy to read syntax and simple compilation function. Debugging programs is a straightforward task in Python with its built in debugger. Python increases productivity and improves results. For a long time now, the use of Python was restricted to scientific computing and highly quantitative domains such as finance, physics, oil and gas, and signal processing but it is now finding increasing acceptance across all domains and especially in Data Science.

KnowledgeHut’s course features in intended to introduce you to the concepts of Python programming including the installation, data structures, conditional statements, object oriented programming and using Python to visualize data. You will master the art of writing beautiful and powerful Python by using all of the features that Python offers and become familiar with the most important and advanced parts of the Python code style. Along the way, you can learn the trickier aspects of Python and put it in a structured context for deeper understanding of the language. This course offers an expert's-eye overview of how these advanced tasks fit together in Python as a whole along with practical examples.

What you will learn

Prerequisites

There are no prerequisites. Python programmers who want to learn the more advanced features of Python will find this course useful.

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Who Should Attend

  • Those interested in mastering Python
  • Web developers, programmers, engineers, big data scientists, etc
  • Experienced professionals who want to expand their knowledge base

KnowledgeHut Experience

Instructor-led Interactive Classroom Experience

Interact with instructors in real-time— listen, learn, question and apply. Our instructors are industry experts and deliver hands-on learning.

Curriculum Designed by Experts

Our courseware is always current and updated with the latest tech advancements. Stay globally relevant and empower yourself with the training.

Learn through Doing

Learn theory backed by practical case studies, exercises and coding practice. Get skills and knowledge that can be effectively applied in the real world.

Mentored by Industry Leaders

Our support team will guide and assist you whenever you require help.

Advance from the Basics

Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.

Code Reviews by Professionals

Get reviews and feedback on your final projects from professional developers.

Curriculum

Learning Objective:

Learn how to install Python distribution - Anaconda Learn basic data types, strings & regular expressions

Topics Covered:

  • Install Anaconda
  • Data Types & Variables
  • String & Regular Expressions

Hands-on:

Install Anaconda

Learning Objective:

Data structures that are used in Python

Topics Covered:

  • Arrays
  • Lists
  • Tuples
  • Dictionaries
  • Sets

Hands-on:

Write Python Code to understand and implement Python Data Structures

Learning Objective:

Learn all about loops and control statements in Python

Topics Covered:

  • For Loop             
  • While Loop           
  • Break Statement               
  • Next Statements               
  • Repeat Statement             
  • if, if…else Statements           
  • Switch Statement

Hands-on: 

Write Python Code to implement loop and control structures

Learning Objective:

Write user-defined functions in Python. Learn about Lambda function.

Topics Covered:

  • Writing your own functions (UDF)
  • Calling Python Functions          
  • Functions with Arguments             
  • Calling Python Functions by passing Arguments
  • Lambda Functions

Hands-on:

Write Python Code to create your own custom functions without or with arguments. Know how to call them by passing arguments wherever required

Learning Objective:

Learn to use User inputs in Python. Use CMD or terminal to create command line applications

Topics Covered:

  • Using input() and getpass() for user input
  • Debugging with "format".format_map(vars())
  • Using argparse to get command-line input
  • Using cmd for creating command-line applications
  • Using the OS environment settings

Hands-on:

Write Python Code to use User Inputs to make it more flexible.

Learning Objective:

Explore Python modules and Python packages, these are the two mechanisms that facilitate modular programming

Topics Covered:

  • Initialization code
  • Namespaces
  • Executing modules as scripts
  • Documentation
  • Packages and name resolution
  • Naming conventions
  • Using imports

Hands-on:

Write Python Code to define a module and implement module search path

Learning Objective:

Learn about metaclasses and use of decorators.

Topics Covered:

  • Implicit properties
  • globals() and locals()
  • Attributes
  • The inspect module
  • Decorators
  • Monkey patching       

Hands-on:

Write a Python code to use decorators in order to transform the execution of a function

Learning Objective:

Learn the concept of OOPs in Python which focuses on creating reusable code. This concept is also known as DRY (Don't Repeat Yourself).

Topics Covered:

  • Methods
  • Inheritance
  • Encapsulation
  • Polymorphism

Hands-on: 

Write Python code to construct a class and define objects

Learning Objective:

Learn object oriented way of writing classes & objects.

Topics Covered:

  • Using a class to encapsulate data and processing
  • Designing classes with lots of processing
  • Designing classes with little unique processing
  • Optimizing small objects with __slots__
  • Extending a collection – a list that does statistics
  • Using properties for lazy attributes
  • Using settable properties to update eager
  • attributes

Hands-on:

Write Python Code to design classes and objects.

Learning Objective:

Learn to choose between inheritance and extension. Also, learn to deal with ordered collection.

Topics Covered:

  • Choosing between inheritance and extension
  • Separating concerns via multiple inheritance
  • Leveraging Python’s duck typing
  • Managing global and singleton objects
  • Using more complex structures – maps of lists
  • Creating a class that has orderable objects
  • Defining an ordered collection
  • Deleting from a list of mappings

Hands-on:

Write Python Code to manage singleton and global objects.
Define an ordered collection.

 

Learning Objective:

Learn to read various file formats in Python.

Topics Covered:

  • Using pathlib to work with filenames
  • Reading and writing files with context managers
  • Replacing a file while preserving the previous version
  • Reading delimited files with the CSV module
  • Reading complex formats using regular expressions
  • Reading JSON documents
  • Reading XML documents
  • Reading HTML documents
  • Upgrading CSV from DictReader to namedtuple reader
  • Upgrading CSV from DictReader to namespace reader
  • Using multiple contexts for reading and writing files

Hands-on:

Write Python Code to write JSON documents, HTML documents.

Learning  Objective: 

Learn to use graphical user interface programming and
implement graphical icons and visual indicators. Create eye catching GUI with Python.

Topics Covered:

  • Overview
  • The mainwindow object
  • Widgets
  • Colors and fonts
  • GUI layout
  • Event handling 

Hands-on:

Write Python code to use colors/fonts and create a GUI layout

Learning Objective:

Learn basic data visualization techniques to build charts using Python

Topics Covered:

  • Basic Data Visualization with standard libraries

Hands-on:

Write Python code to perform basic visualization of the data

Learning Objective:

Case Study to explore Python

Topics Covered:

  • Case Study : Python Programming

Hands-on:

Case Study to explore Python

Projects

Projects

Your project will cover Data Manipulation and Analysis and basic data visualization.

Testimonial

Extremely satisfied. The program was structured in a creative manner, practising what it preached, with plenty of examples and exercises. Facilitator kept training interesting. Knowledgehut Support Team provided excellent service! Thank You!Would surely recommend the training to others.

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Prasad Anvekar

SDE 1 at TESCO from Bangalore, India

Attended a 2 day weekend course by Knowledgehut for the CSM certification. The instructor was very knowledgeable and engaging. Excellent experience.

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Jin Shi

Director at Timber creek Asset Management from Toronto, Canada

The CSPO Training was awesome and great. The trainer Anderson made all the concepts look so easy and simple. Using his past experience as examples to explain various scenarios was a plus. Moreover, it was an active session with a lot of participant involvement which not only made it interactive but interesting as well. Would definitely recommend this Training.

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Richard Dsouza

Business Analyst at Valtech from Bangalore, India

Great course. An interesting and interactive session to better understand how to succeed in formulating a business case and how to present it effectively.

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Wily Salim

Services Project Engineer at Lendlease from Sydney, Australia

Faq

The Course

Python is an object-oriented, interactive programming language which is supple and allows the lucid expression of concepts in fewer lines of code than in other languages. It is widely deployed for processing text, numbers, images or scientific data, and finds popular application in many development environments. Our course will hand hold you through the various fundamentals of Python going from basic to advanced and helping you master the language in a short time. Our experienced instructors will help you understand the fundamentals and give you hands-on training in handling and delivering Python packages. You can get up to speed with the latest best practices in coding with this Multi-paradigm programming language that is actively used both in industry and academic circles. Python is among the most in-demand programming languages and Python developers can earn upto $116, 379 annually. This is the best time to learn this language.

You will learn:

  • To use Python and its environment
  • To use Python functions to manipulate data
  • To analyze, manipulate and visualize data with Python

By the end of this course, you would have gained knowledge on the use of Python language to build applications.

Tools and Technologies used for this course is Python

There are no restrictions but participants would benefit if they have elementary programming knowledge.

Yes, KnowledgeHut offers this training online.

On successful completion of the course you will receive a course completion certificate issued by KnowledgeHut.

Your instructors are Python experts who have years of industry experience.

Finance Related

Any registration cancelled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% deduction in the refunded amount due to transactional costs applicable while refunding) Refunds will be processed within 30 days of receipt of written request for refund. Kindly go through our Refund Policy for more details: http://www.knowledgehut.com/refund

KnowledgeHut offers a 100% money back guarantee if the candidate withdraws from the course right after the first session. To learn more about the 100% refund policy, visit our Refund Policy.

The Remote Experience

In an online classroom, students can log in at the scheduled time to a live learning environment which is led by an instructor. You can interact, communicate, view and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improves your online training experience.

Minimum Requirements: MAC OS or Windows with 8 GB RAM and i3 processor

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