Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python is continued to be a favourite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain.
Key concepts from Lean IT, Agile, DevOps, and Organizational Change Management, and why these are important to deliver business value
Delivered by expert instructors with real time expereince
Program Overview
1.0 An Overview Of Python
1.1 The Python Environment
2.1 Getting Started
3.1 Flow Control
4.1 Array Types
5.1 Working With Files
6.1 Dictionaries And Sets
7.1 Functions
8.1 Sorting
9.1 Errors And Exception Handling
10.1 Modules And Packages
11.1 Regular Expressions
12.1 Highlights Of The Standard Library
Product Description
Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade,Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing. This course will cover both basic and advance concepts ofPython like writing python scripts, sequence and file operations in python, Machine Learning in Python, Web Scraping, Map Reduce in Python, Hadoop Streaming, Python UDF for Pig and Hive. You will also go through important and most widely used packages like pydoop, pandas, scikit, numpy scipy etc.
Who Should Go For This Course?:
Experienced Professional or a Beginner, Anyone who wants to learn programming with Python can start right away!
This course is exclusively designed for professionals aspiring to make a career in Big Data Analytics using Python. Software Professionals, Analytics Professionals, ETL developers, Project Managers, Testing Professionals are the key beneficiaries of this course. Other professionals who are looking forward to acquire a solid foundation of this widely-used open source general-purpose scripting language, can also opt for this course.
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