MongoDB Python Developers Training

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About SimplyAnalytics

We are the best Training institute for learning MongoDB Python Training in Chennai . We have expert trainers and excellent materials to transform your skills to fit into the job market.

Module 1:

  • Introduction and Overview – Overview, Design Goals, the Mongo Shell, JSON Intro, installing tools, overview of blog project. Bottle, Pymongo

What is MongoDB?

  • 1. MongoDB Relative to Relational
  • 2. Overview of Building an App with MongoDB
  • 3. Quick Introduction to the Mongo Shell
  • 4. Introduction to JSON
  • 5. Installing MongoDB(mac,windows)
  • 6. Application Architecture
  • 7. Installing Python
  • 8. Introduction to Bottle Web Framework
  • 9. Installing PyMongo
  • 10. Hello World, Mongo Style
  • 11. Hello World on a Web Server
  • 12. MongoDB is Schemaless
  • 13. JSON REvisited
  • 14. JSON Subdocuments
  • 15. JSON Spec
  • 16. Introduction to Our Class Project, The Blog
  • 17. Blog in Relational Tables
  • 18. Blog in Documents
  • 19. Introduction to Schema Design
  • 20. Introduction to Python
  • 21. Python Lists
  • 22. Python Lists, Slice Operator
  • 23. Python Lists, Inclusion
  • 24. Python, Working with Dicts
  • 25. Python: Dicts and Lists Together
  • 26. Python: for Loops, with Lists
  • 27. Python: for Loops with Dicts
  • 28. Python: while Loops
  • 29. Python: Function Calls
  • 30. Python: Exception Handling
  • 31. Bottle Framework: URL Handlers
  • 32. Bottle Framework: Using Views
  • 33. Bottle Framework: Handling Form Content
  • 34. Bottle Framework: Using Cookies
  • 35. Pymongo: Exception Processing

Module 2:

  • 1. CRUD (Creating, Reading and Updating Data) – Mongo shell, query operators, update operators
  • 2. and a few commands
  • 3. CRUD and the Mongo Shell
  • 4. Secrets of the Mongo Shell
  • 5. Secrets of the Mongo Shell
  • 6. BSON Introduced
  • 7. Inserting Docs
  • 8. Introduction to findOne
  • 9. Introduction to find
  • 10. Querying Using field Selection
  • 11. Querying using $gt and $lt
  • 12. Inequalities on Strings
  • 13. Using regrexes, $exists, $type
  • 14. Using $or
  • 15. Using $and
  • 16. Querying Inside Arrays
  • 17. Using $in and $all
  • 18. Queries with Dot Notation
  • 19. Querying, Cursors
  • 20. Counting Results
  • 21. Wholesale Updating of a Document
  • 22. Using the $set Command
  • 23. Using the $unset Command
  • 24. Using $push, $pop, $pull, $pullAll, $addtoSet
  • 25. Upserts
  • 26. Multi-update
  • 27. Removing Data
  • 28. PyMongo: find, find_one and Cursors
  • 29. PyMongo: Projecting Results from Find
  • 30. PyMongo: Using $gt and $lt
  • 31. Importing from Reddit
  • 32. PyMongo: Using a regrex
  • 33. PyMongo: Sort, Skip and Limit
  • 34. PyMongo: Sort, Final Thoughts
  • 35. PyMongo: Insert_One
  • 36. PyMongo: Insert_many
  • 37. PyMongo:Insert_many
  • 38. PyMongo:Updating
  • 39. PyMongo:Updating Data using Replace
  • 40. PyMongo: Upserts
  • 41. PyMongo: Removing Data
  • 42. PyMongo: find_and_modify
  • 43. Blog: User Interface
  • 44. Blog: Session Management
  • 45. Blog, Internals

Module 3:

  • 1. Schema Design – Patterns, case studies and tradeoffs
  • 2. MongoDB Schema Design
  • 3. Relational Normalization
  • 4. Mongo Design for Blog
  • 5. Alternative Schema for Blog
  • 6. Living Without Constraints
  • 7. Living Without Transactions
  • 8. One to Once Relations
  • 9. One to Many Relations
  • 10. Many to Many Relations
  • 11. Benefits of Embedding
  • 12. Trees
  • 13. When to Denormalize
  • 14. Handling Blobs

Module 4:

  • 1. Performance Using indexes, monitoring and understanding performance. Performance in
  • 2. sharded environments.
  • 3. Storage Engines: Introduction
  • 4. Storage Engines: MMAPv1
  • 5. Storage Engines: Wired Tiger
  • 6. Indexes
  • 7. Creating Indexes
  • 8. Discovering(and Deleting) Indexes
  • 9. Multikey Indexes
  • 10. Dot Notation and Multikey
  • 11. Index Creation Option, Unique
  • 12. Index Creation, Sparse
  • 13. Index Creation, Background
  • 14. Using Explain
  • 15. Explain: Verbosity
  • 16. Covered Queries
  • 17. When is and Index Used ?
  • 18. How Large is Your Index ?
  • 19. Number of Index Entries
  • 20. Geospatial Indexes
  • 21. Geospatial Spherical
  • 22. Text Indexes
  • 23. Efficiency of Index Used
  • 24. Efficiency of Index Use Example
  • 25. Logging Slow Queries
  • 26. Profilling
  • 27. Mongotop
  • 28. Mongostat
  • 29. Sharding Overview

Module 5:

  • 1. Aggregation Framework Goals, the use of the pipeline, comparison with SQL
  • 2. Examples of Aggregation Framework
  • 3. The Aggregation Pipeline
  • 4. Aggregation Operators: $match, $project, $unwind, $group
  • 5. Multiple Stages Using a Given Operator

Module 6:

  • 1. Application Engineering Drivers,
  • impact of replication
  • Sharding on design

Module 7 :

  • Using iterative parsing for large datafiles
  • Open Street Map XML Overview
  • Exercises around OpenStreetMap data
  • Final Project Instructions

Why choose SimplyAnalytics for MongoDB Python Developer Training in Chennai?

  • 1. 100% Practical and placement oriented training.
  • 2. We are registered training organization.
  • 3. Expert trainers from IT industries.
  • 4. Placements Assistance.
  • 5. Flexible timings.
  • 6. Weekdays and weekend batches.
  • 7. Affordable fees.
  • 8. Air conditioned classroom.
  • 9. Wi-Fi enabled training institute.
  • 10. Best Lab specialities.

Are you located in any of these areas – Adambakkam, Camp Road, Chromepet, Ekkattuthangal, Guindy, kovilambakkam, Madipakkam, Medavakkam, Nanganallur, Navalur, Nungambakkam, OMR, Pallikaranai, Perungudi, Rajakilpakkam, Saidapet, Sholinganallur,Siruseri, St.Thomas Mount, T. Nagar, Tambaram, Tambaram East, Thiruvanmiyur, Thoraipakkam, Velachery, and West Mambalam.

Our Medavakkam office is just few kilometre away from your location. If you need the best MongoDB Python Developer training in Chennai travelling of extra kilometres is worth it .

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Course Features

  • Lectures 1
  • Quizzes 1
  • Duration 50 hours
  • Skill level All level
  • Language English
  • Students 0
  • Assessments Self
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