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Survey Of Python For Geospatial Applications

Course

SURVEY OF PYTHON FOR GEOSPATIAL APPLICATIONS

Category

Python Online Training

Eligibility

Freshers and Career Changers

Mode

Online and Classroom Sessions

Batches

Week Days and Week Ends

Duration :

30 to 45 days

Python What will you learn?

•Troubleshoot advanced models in Python.
•Python Script How to apply and use it.
•Learn how to develop, build and deploy Python
•Learn about each and every major Python component.
•Learn Python from Scratch with Demos and Practical examples.
•How to build your own apps and scripts using Python.
•Understand and make use the new Features and Concepts in Python
•The students get hands on experience of how things happen in Python?
•Get to know tips and tricks to work more quickly and effectively in Python.

survey of python for geospatial applications Course Features

•Career guidance providing by It Expert
•Get Training from Certified Professionals
• Helps you stand out in a competitive market
•Classes are Accessible on Website and Mobile Apps
•We Also provide Case studies for Online Training Courses
•100% Guaranteed Placements Support in IT Companies with Big Salaries
•Affordable fee structure to help as many students strive career in IT industry
•We do Schedule the sessions based upon your comfort by our Highly Qualified Trainers and Real time Experts

Who are eligible for Python

•Artificial Intelligence, Data Science, Block Chain, Iot, Cloud Computing, Ux Design, Mobile Application Development, Natural Language Processing, Business
•Java Developer, java j2ee jsp servlets ejb, plsql, Unix Scripting, c, c++, dotnet
•Lamp/mean Stack Developers, Php, Node.js, Ui Development, Html5, WordPress, Ecommerce Development, jquery, Web Development, javascript, mysql, ajax, React.js
•Protocol Testing, Php Developer, Oracle, Senior Managers, Oracle DBA, Dotnet, Java, oracle, DBA, Database Administration, 12c, RAC, Goldengate
•Web application developer, .Net Developer, PHP Developer, Seo Analyst, Associate Designer, Ui Designer, senior .net Developer, .Net TL, Analytic Engineer

SURVEY OF PYTHON FOR GEOSPATIAL APPLICATIONS Syllabus

What is python?
•Why use python?
•What can you do with Python?
•What can you do with python? – Part 2 GIS
•About Python
•Installing Python
•Getting started
•Installing Python on MacOS
•Installing Pycharm on MacOS
•Getting started with Python
•Boolean and numeric variables
•Converting between variable types
•Strings
•String methods
•String formatting
•Operators and expressions in Python
•Operators Part 1
•Operators Part 2
•Expressions
•Complex data structures
•Lists
•Working with lists
•Tuples
•Sets
•Working with sets
•Dictionaries
•Working with dictionaries
•Review of complex data structures
•Program control
•The if statement in Python
•While loops in Python
•For loops in Python
•Generators
•User Input
•The input() function
•Command line arguments
•Processing..
•Working with user input
•Functions
•Introduction to functions
•Function example
•Function arguments
•Map and filter functions
•Lambda functions
•Nested functions, decorator functions, and scope
•Error Handling in Python
•Error handling – Part 2
•Modules
•What is a module?
•Objects in python
•What is an object?
•Defining a custom object class
•Object example
•String representation of an object
•Object inheritance
•Private properties and methods
•Principles of object oriented programing
•Python packages, virtul environemnts, and documentation
•What is a package?
•Working with third party packages
•Virtual Environments
•Virtual Environments – Part 2
•Documentation in python
•Formal testing in python
•The unittest module
•Writing a test suite for the Point class
•Working with the operating system and files
•The OS module
•The OS.path submodule
•Reading and writing plain text files
•Reading and writing plain text files – Part 2
•Creating a word count application
•Reading and writing CSV files
•Reading and writing CSV files – Part 2
•Word Count Application – Part 2
•Working with JSON data
•Working with JSON data – Part 2
•Word Count Application – Part 3
•Working with shape files
•Working with shapefiles – Part 2
•Application: Shapefile to GeoJSON converter
•Working with database data
•SQLite example
•PostgreSQL and PostGIS
•The python data science stack
•Jupyter Notebooks
•Numpy
•Matplotlib
•Pandas
•Geospatial analysis in python
•GDAL/OGR
•Fiona and Shapely
•Geopandas – Part 1
•Geopandas – Part 2
•GeoPy
•Where to go next
•Bonus Lecture: How to get the most from my series of courses.
•What can you do with python? – GIS