Demo Session

Pimple Saudagar - 18 March 02.00 PM

Kharadi - 18 March 04.00 PM

Nal Stop - 18 March 01:00 PM

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   Python Training in Pune

Python Training in Pune ETLhive brings a new training course in the widely acclaimed programming language Python, designed primarily for the budding programmers who wish to make it big in the Data Analytics Domain. This high-level programming language with its powerful library, clear syntax, and high readability has emerged as one of the "must-know" languages. The course at the ETLhive is intended to impart knowledge on the basic and advance conceptual frameworks of Python which includes an in-depth understanding of sequence and file operations, machine learning, python scripts, functions in python, web scraping etc. This course is ideal for programmers as it provides a helpful insight into debugging programming errors, therefore ensuring better programming abilities. Further, there are elaborate lectures on the importance and usage of Machine Learning and Scientific Computing and a hands-on training about setting up Python Environment.

Intended Audience 

Software Professionals such as Programmers, Web Developers, ETL Developers, Analytics Professionals, Automation Engineers, Hadoop Programmers, Project Managers, and even beginners must learn Python to compete well and to ensure their success in the IT sector.


Anyone having a basic knowledge of Windows or UNIX can apply for this course. An additional knowledge about programming will ensure faster learning and implementation in the real-time projects.

Our Courses



Essentials of Python

  • Defining Python
  • History of Python and its Growing Popularity
  • Features of Python and its Wide Functionality
  • Python 2 vs Python 3
  • Setting Up Python Environment for Development
  • What and How of Python Installation?
  • IDEs: IDLE, Pscharm, and Enthought Canopy
  • Running a Python Script
  • Writing First Python Program
  • Python Scripts on UNIX and Windows
  • Installation on Ubuntu-based Machines
  • Programming on Interactive Shell
  • Python Identifiers and Keywords
  • Indentation in Python
  • Comments and Writing to the Screen
  • Command Line Arguments and Flow Control
  • User Input
  • Essentials of Hadoop






Python Data Types and Core Objects

  • Python Core Objects
  • Defining Built-in Functions
  • Objectives
  • Variables and their types
  • Variables - String Variables
  • Variables - Numeric Types
  • Variables - Boolean Variables
  • Boolean Object and None Object
  • Tuple Object and Operations
  • Dictionary Object and Operations
  • Types of Variables - Dictionary
  • Comparision of Variables
  • Dictionary Methods and Manipulations
  • Operators and Logical Operators
  • Data Structures and Data Processing
  • Arithmetic Operations on Numeric Values
  • Operators and Keywords for Sequences




Conditional Statements and Loops

  • Understanding Conditional Statements
  • Break Statements and Continue Statements
  • Using Indentations for defining if & else block
  • Loops in Python
  • While, Nested, Demo-Create
  • How to Control Loops?
  • Sequence and Iterable Objects




UDF Functions

  • Objectives of Functions
  • Types of Functions
  • Creating UDF Functions
  • Function Parameters
  • Unnamed and Named Parameters
  • Creating and Calling Functions
  • Python user Defined Functions
  • Python packages Functions
  • Anonymous Lambda Function
  • Understanding String Object Functions
  • List and Tuple Object Functions
  • Studying Dictionary Object Functions





Python Packages and File Handling

  • Defining Python Inbuilt Modules
  • Studying Types of Modules
  • os, sys, time, random, datetime, zip modules
  • How to Create Python User Defined Modules?
  • Understanding Pythonpath
  • Creating Python Packages
  • init File and Package Initialization
  • What and How of File Handling with Python?
  • How to Process Text Files using Python?
  • Read/Write and Append File Object
  • Test Operations: os.path





Object-Oriented Programming in Python & Exception Handling

  • Overview of Object Oriented Programming
  • Defining Classes, Objects, and Initializers
  • Attributes - Built-In Class
  • Destroying Objects
  • Methods - Instance, Class, Static, Private methods, and Inheritance
  • Data Hiding
  • Module Aliases and reloading modules
  • Python Exceptions Handling
  • Standard Exception Hierarchy
  • .. except...else
  • .. finally...clause
  • Creating Self-Exception Class
  • User-defined Exceptions





Error Debugging and Regular Expressions

  • Debugging Errors - Unit Tests
  • Project Skeleton
  • Creating and Using the Skeleton
  • How to use pdb debugger?
  • Using Pycharm Debugger
  • Asserting Statement for Debugging
  • Using UnitTest Framework for Testing
  • Understanding Regular Expressions
  • Match Function, Search Function, and the Comparision
  • Compile and Match, Match and Search
  • Search and Replace
  • What and How of Extended Regular Expressions?
  • Wildcard Characters



Fundamentals of Database Interaction with Python

  • How to Create a Database using SQLite 3?
  • Understanding CRUD Operations
  • Creating Database Connection
  • Python MySQL Database Access
  • Operations: Create, Insert, Read, Update, Delete
  • What are DML and DDL Operations?
  • Performing Transactions
  • How to Handle Database Errors?
  • What and How of Disconnecting Database?

Python and Machine Learning

  • Machine Learning with Python
  • Defining Machine Learning
  • Implementation of Machine Learning
  • Algorithms
  • Learning NumPy and Scipy
  • Learning - Supervised or Unsupervised
  • Supervised, Unsupervised Learning and Classification
  • Classification and k-Nearest Neighbours (kNN)
  • Building, Testing, and Measuring the Performance of the Classifier
  • Defining Clustering Problem
  • k-Means Clustering



Panda, Scikit, and Parallelism 

  • Defining Panda
  • Pandas – Creating and Manipulating Data
  • How to Create Data Frames?
  • Importance of Grouping and Sorting
  • Plotting Data
  • Understanding Scikit-Learn
  • Algorithms for Scikit-Learn
  • Understanding Parallelism
  • What is Multithreading in Python?
  • How to create threads with Parameters?
  • Demon/Non-Demon Processes
  • Studying Multiprocessing in Python



Hadoop and Python

  • Defining Hadoop
  • Growing Popularity of Hadoop
  • Understanding the nature of BigData
  • What is Hadoop Ecosystem
  • Data Analysis with Python
  • Studying HDFS File System
  • Cloudera Cluster of Single Node
  • Hadoop and MapReduce Framework
  • MapReduce Job Run and Python
  • PIG, HIVE, and Python
  • Package Installation using Pycharm
  • pip and easy_install
  • XLS Interface and XLS Parsing with Python
  • Web Scraping in Python
  • MrJob Package
  • Beautifulsoup Package
  • Live Project


Course Features



One Stop Solution!

   Ability to attend missed sessions

    Complete documentation

   Resume preparation

   Certification preparation.

   Interview preparation

   Placement assistance






"What our customers say"

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Python Training in Pune

Join the most acclaimed training institute ETLhive for Python Training in Pune. ETLhive has been repeatedly considered the most acclaimed training institute across the city. As a matter of fact, Python has emerged as the most popular language and as such there is a great demand for Python Professionals. Therefore, ETLhive has designed its Python Training course strictly according to the market standards, in order to meet the demands of the Python enthusiasts. Secondly, ETLhive has been consistently delivering world class training in Python and has been making every single effort towards delivering the best hands-on practical training sessions. This course is designed primarily for Programmers, Web Developers, ETL developers, Analytics Professionals, Automation Engineers, and Hadoop Programmers.

Further, ETLhive provides elaborate lectures on Python with focus on sequence and file operations, machine learning, python scripts, functions in python, web scrapping. This course is excessively helpful for programmers since it provides knowledge about significant issues such as carrying out the debugging processes to end programming errors. The training at ETLhive is carried out in three significant phases such as pre-training phase, training phase, and post-training phase. Pre-training phase focuses on brushing up your prior knowledge and providing you the new perspectives about your career roadmap. The post training sessions focus on resume preparation and interview preparation during which trainers make you work on hundreds of interview questions. This enables you to have confidence about how to practically implement your knowledge. Apart from this the training sessions are entirely hands-on which enhances your skills beyond your expectations. Learn Python from ETLhive, Choose the Best and Be Best in your Profession!


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(26th MARCH DEMO (P.SAUDAGAR) -Data Science-6:00PM ,(25th MARCH DEMO (P.SAUDAGAR) | Hadoop-5.30PM | Etl-3:00PM | AngularJS-11.00AM | (NALSTOP) (25th MARCH DEMO -Hadoop-11.00AM |ETL Informatica-4.00PM,Data Science-12.30PM | AngularJS-11.00AM | 22 nd March -jAVA 11.30 AM