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
1. Basics of Python
Learn to install Anaconda - Python distribution.
2. Explore Python language fundamentals
Learn basic syntax, variables, and types.
3. Data Structures
Learn about the various data structures that Python can handle, such as regular Python lists, tuple
4. Conditional Statements
Learn about control and loops statements
5. Object Oriented Programming
Learn to write user defined functions and object oriented way of writing classes and objects.
6. Improve your coding ability
Use functions and import packages. Improve your code readability through functions in Python
7. Analyzing Data
Manipulate and analyze dataset in Python and perform interesting calculations
8. Logical layout,physical format
Learn to write Python Code to write JSON documents, HTML documents.
9. Basic Data Visualization
Use various Python libraries to visualize data. Create and customize plots
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 Live Classroom
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
Learn from the best in the field. Our mentors are all experienced professionals in the fields they teach.
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. Also learn basic data types, strings & regular expressions.
Topics Covered:
- Install Anaconda
- Data Types & Variables
- String & Regular Expressions
Hands-on:
Install Anaconda
Learning Objective:
Learn about various 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 the two mechanisms that facilitate modular programming, Python modules and Python packages.
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 the 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 the 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 Programming.
Topics Covered:
- Case Study : Python Programming
Hands-on:
Real-life Case Study that explores Python.
Projects
Create informative visualization using Python libraries
Write Python code to perform basic visualization of the data
reviews on our popular courses
It was very good! Thanks, KH!
Well-organized and well-presented session. The instructor was very knowledgeable!
The training session was really beneficial as the trainer was well experienced and one of the top educators in the field.
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