Python is a widely used general-purpose, high-level programming language. Python supports multiple programming platforms, including object-oriented & functional programming or procedural programming. Its Interpreters are available widely for installation on many operating systems which allow python code execution on a wide variety of systems.
Python’s unique feature is code readability, and its syntax allows programmers to express concepts in fewer lines of code compared to other programming languages like Java or C++. Python interpreters are available for many operating systems, allowing Python code to run on a wide variety of systems.
Google Cloud Platform offers computing & hosting services for Python applications and various products for storage, machine learning, and big data that can be used from any Python application anywhere. Google released Tensor Flow, an open source Python library for fast numerical computation, which can be used to create
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Python is one of the fastest-growing high-level programming languages which enables clear programs on small and large scales. Widely considered the programming language of choice for serious developers, it is easy to learn and deploy, with design features that emphasize clarity of syntax, easy readability, and easy comprehension. Python can be used for large and small applications - to create web apps, games, or even a search engine. As programming in Python is much simpler than C, C++ and Java, this is the preferred language in many engineering, science and business applications.
» Advanced data structures and algorithms available in Scipy, Numpy and Pandas
» Plotting using Matplotlib
» Use Scipy, Numpy and Pandas for data modeling and analysis
» Use the above libraries to create data frames, grouping, processing data and perform numerical and scientificanalysis using Scipy, Numpy and Pandas
» Creating classifiers, clusters
» Strategies to deal with reducing dimensions, selecting appropriate data models
» Use analytics libraries with Hadoop Map Reduce, PIG and HIVE
Python is a powerful scripting language that can be used to automate system administration, create powerful web pages, develop mobile applications, and more. This course is an introduction to Python and introduces many beginner programming concepts along the way. Python is a widely used general-purpose, high-level programming language. Python supports multiple programming platforms, including object-oriented & functional programming or procedural programming.
Python Programming is intended for software engineers, systems analysts, program managers and user support personnel who wish to learn the Python programming language.
Python Foundation (Mandatory)
» Why Python and where to use it?
» Discussion about Python 2 and Python 3
» Set up Python environment for development
» Demonstration on Python Installation
» Discuss about IDE’s like IDLE, Pycharm and Sublime
» Discussion about unique feature of Python
» Write first Python Program
» Start programming on interactive shell.
» Using Variables, Keywords
» Interactive and Programming techniques
» Comments and document interlude in Python
» Practical use cases using data analysis
» Number Object and operations
» String Object and Operations
» List Object and Operations
» Tuple Object and operations
» Dictionary Object and operations
» Set object and operations
» Boolean Object and None Object
» Different data Structures, data processing
» Create UDF functions
» Parameterize UDF function, through named and unnamed parameters
» The anonymous Functions - Lambda Functions
» String Object functions
» List and Tuple Object functions
» Dictionary Object functions
» Read/write and Append file object
» File object functions
» File pointer and seek the pointer
» Truncate the file content and append data
» File test operations using os.path
Python Advance (Mandatory)
» os, sys, date time, time, random, zip modules
» Create Python UDM – User Defined Modules
» Define PYTHONPATH
» init File for package initialization
» What is Exception?
» Handling various exceptions using try....except...else
» Try-finally clause
» Argument of an Exception and create self exception class
» Python Standard Exceptions
» Raising an exceptions, User-Defined Exceptions
» Object oriented features
» Understand real world examples on OOP
» Implement Object oriented with Python
» Creating Classes and Objects, Destroying Objects
» Accessing attributes, Built-In Class Attributes
» Inheritance and Polymorphism
» Overriding Methods, Data Hiding
» Overloading Operators
» Pycharm Debugger
» Assert statement for debugging
» What are regular expressions?
» The match and search Function
» Compile and matching
» Matching vs searching
» Search and Replace feature using RE
» Extended Regular Expressions
» Wildcard characters and work with them
» CRUD Operations,
» Creating a Database Object.
» Python PostgresSQL Database Access
» DML and DDL Operations with Databases
» Performing Transactions
» Handling Database Errors
» Disconnecting Database
Python for Data Science/Analytics (Optional Module)
» Categorical data displays
» Different Type of variable
» Mean and median: The basics
» More on mean and median
» Two-way tables for categorical data
» Dot plots and frequency tables
» Comparing features of distributions
» Line graphs
» Population variance and standard deviation
» Sample variance and standard deviation
Python for Automation Testing (Optional Module)
» Testing concepts.
» Need of automation
» Types of automation Frameworks.
» UI Automation - Selenium Library
» Basics of APIs
» Different types of APIs
» API AUTOMATION - Request Module