Python Online Training
Python is a Scripting language. It is an interpreted, interactive programming language. It supports the object-oriented concept. Python is an open source. It has the simple structure with clear define syntax. It is easy to learn. It supports multiple programming paradigms.
4.5 (55 ratings)
Rated 4.5 out of 5
Python Online Training
Python is a Scripting language. It is an interpreted, interactive programming language. It supports the object-oriented concept. Python is an open source. It has the simple structure with clear define syntax. It is easy to learn. It supports multiple programming paradigms.
4.5 (55 ratings)
Rated 4.5 out of 5
Course Features
About Python Online Training
Python has the large collection of pre-built and portable functionalities. Python is having more than 20 thousand modules. In most of the technologies, Python is being used. It has a very good feature like automatic memory management system. Enroll and Attend Python Online Course demo by our real-time expert
Course Objectives
What are the Python Online Course Objectives?
After completion of the Python Online Training at Jagathi Technologies, you will be expertise and eligible for:
- Complete knowledge on Python
- Learn how to use lists, tuples, loops, decision statement, etc. in python
- Build packages in Python
- Working with Exception handling, Inheritance
- Work independently in Project with scripting and Automation
Who should go for this Course?
- Any IT experienced Professional who are interested to build their career in python web development/ software automation /Data Analytics.
- Any B.E/ B.Tech/ BSC/ MCA/ M.Sc Computers/ M.Tech/ BCA/ B.Com College Students in any stream.
- Fresh Graduates.
Pre-requisites:
The course can learn by any IT professional having basic knowledge of:
- Unix or Windows Operating System
- Any Programming Language
Course Curriculum
- Python Overview
- About Interpreted Languages
- Advantages/Disadvantages of Python pydoc
- Starting Python
- Interpreter PATH
- Using the Interpreter
- Running a Python Script
- Python Scripts on UNIX/Windows
- Python Editors and IDEs.
- Using Variables
- Keywords
- Strings Different Literals
- Math Operators and Expressions
- Writing to the Screen
- String Formatting
- Command Line Parameters and Flow Control
- Built-in Functions
- Lists
- Tuples
- Indexing and Slicing
- Iterating through a Sequence
- Functions for all Sequences
- Using Enumerate()
- Operators and Keywords for Sequences
- Dictionaries and Sets
- The xrange() function
- List Comprehensions
- Generator Expressions
- Functions
- Function Parameters
- Global Variables
- Variable Scope and Returning Values. Sorting
- Alternate Keys
- Lambda Functions
- Sorting Collections of Collections
- Sorting Dictionaries
- Sorting Lists in Place
- Errors and Exception Handling
- Handling Multiple Exceptions
- The Standard Exception Hierarchy
- Using Modules
- The Import Statement
- Module Search Path
- Package Installation Ways
- The Sys Module
- Interpreter Information
- STDIO
- Launching External Programs
- Paths Directories and Filenames
- Walking Directory Trees
- Math Function
- Random Numbers
- Dates and Times
- Zipped Archives
- Introduction to Python Classes
- Defining Classes
- Initializers
- Instance Methods
- Properties
- Class Methods and DataStatic Methods
- Private Methods and Inheritance
- Module Aliases and Regular Expressions.
- Debugging
- Dealing with Errors
- Using Unit Tests
- Project Skeleton
- Required Packages
- Creating the Skeleton
- Project Directory
- Final Directory Structure
- Testing your Setup
- Using the Skeleton
- Creating a Database with SQLite 3
- CRUD Operations
- Creating a Database Object
- Introduction to Machine Learning
- Areas of Implementation of Machine Learning
- Why Python
- Major Classes of Learning Algorithms
- Supervised vs Unsupervised Learning
- Learning NumPy
- Learning Scipy
- Basic plotting using Matplotlib
- Machine Learning application
- Classification Problem
- Classifying with k-Nearest Neighbours (kNN)
- Algorithm
- General Approach to kNN
- Building the Classifier from Scratch
- Testing the Classifier
- Measuring the Performance of the Classifier
- lustering Problem
- Introduction to Scikit-Learn
- Inbuilt Algorithms for Use
- What is Hadoop and why it is popular
- Distributed Computation and Functional Programming
- Understanding MapReduce Framework Sample
- Map Reduce Job Run
- PIG and HIVE Basics
- Streaming Feature in Hadoop
- Map Reduce Job Run using Python
- Writing a PIG UDF in Python
- Writing a HIVE UDF in Python
- Pydoop and MRjob Basics
- Real World Project
Enroll for a Jagathi IT Online courses Today!
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Student’s Testimonial
I attended the Data Science Course at Jagathi IT and it was a fantastic experience. The curriculum is structured to help students master the essential vocabulary in Python (and R). All-in-all I felt the program delivered exactly the skills that I was looking to build. I'd recommend it highly to anybody who wants an effective foundation in Data Science and wants to Upscale.
Jagathi exceeded my expectations in a way I had never even thought possible. I expected a single mentor from Jagathi, but I ended up getting several people who guided me throughout.
The course is structured in a way so that people who have a good grasp of the fundamentals of programming can better themselves in higher level topics, which are commonly asked in tech interviews.
The most beautiful aspect of this program is that you are able to apply the learnings to the real-life business analytics problems as well. There are various points that contribute to this, such as the quality content that is designed by the world-class faculties. The turnaround time for your queries is really low similar to a regular classroom program.
At work, it helped me create authority over the areas I used to be uncertain about earlier; which resulted in better insights and in-depth reporting.
How You Benefit From This Program
- 1 -1 Mentor coaching and Career support
- 30% Average Salary Hike
- 500+ Hiring Partners
- Guidance from Corporate Specialists
- Participate in workshops and live webinars