NoSQL MongoDB Bootcamp - MongoDB Python Pymongo For Beginner

Downloading of the MongoDB from official site - Installation of MongoDB on Windows - Identifying daemon and shell files - Configuring the MongoDB as service for automatic start - Configuration of PATH system variable

Download Studio 3T (MongoChef) - Installation procedure of Studio 3T - Creating connection object to connect to the local MongoDB database system

Basics of creating database - creating the database - listing the newly created database - creating a collection - listing newly created collection - inserting a document - showing the document - dropping a database

Create the collections explicitly by using createCollection() built-in function of MongoDB - Setting options for behavior of the collections - Drop a collection.

MongoDB Insert document operation - INSERT() function - Inserting one document - Inserting multiple document - JSON document structure - Array of JSON documents - insertOne() function - insertMany() function

Pattern based search of data - Pattern search operator $regex - Regular expression operator - Different ways of pattern matching

What is nested document - Query based on attributes of nested documents -Query based on attributes of nested documents combined with embedding document - Use of operators $in, $or, and distinct() - limitation on query based on complete nested document

What is Array Field in MongoDB Document - Exact match queries with elements of array - Use of $all operator to relax exact matching - Positional enforcement of conditions through array element index - Querying data based on number of elements in array - Why we need to have arrays in a MongoDB document

What is Array of Embedded Documents - Why MongoDB need array of embedded documents - Equality match for nested array of documents - Match with equal values but different order of fields $elemMatch operator - Comparison between RDBMS and Array of Embedded Documents

What is meant by projection - How to specify the fields to be visible or not visible - How to display or hide fields from nested documents - Listing a nested document with using $elemMatch in projection document

Update operation in MongoDB documents - Update on nested array of documents - Adding and deleting a nested document - Deleting an element from an array field - Adding one or more elements to an array field - Increment a value - Deleting a field - Adding a new field

What is save function - Differences and similarities between save and update functions - Nature of save function as upsert - Role of _id field in save function - Operation examples

Learn various different ways of deleting / removing documents from the collection - Examples include use of methods remove(), deleteOne() and deleteMany()

What is cursor - Defining Cursor - Ordering the data - Syntax of sort() method - Working examples of sort() method

skip(), limit() and count() cursor methods - Explained each method with examples - Problems and solutions using combination of these methods

What is size() method - Difference between count() and size() method - Why use size method - Example

What is meant by aggregation pipeline - Basic aggregation pipeline example - Explanation of example with data - Intro to some top level pipeline stage operators

Why use $match operator - How to use $match operator - Advantage of the use of $match operator - Case example of $match

Purpose of $group accumulator operator - How the $group accumulator operator works - Step-by-step explanation with an example

Study of common but very important MongoDB Aggregation Accumulator Operators like $sum, $avg, $max, $min, $sort, $limit and $skip - Use of each operator with examples

Explanation of $project operator - Purpose of $project operator - Use of $project operator for transformation, display of fields, and order of fields with examples

Understanding the $unwind operator used to deconstruct the arrays in the collections - Step-by-step explanation about how the array can be used for a practical case - Example code

Explanation of map & reduce processes - Utility of mapReduce function - Definition of mapReduce - mapReduce() built in function - Example code

Installation of Python - Installation of pymongo driver for Python - Possible bottlenecks in installation - Remedies

Use of IDLE client to access MongoDB - Connecting to the database - Functions find_one() and find() - Providing query filter - Referring to the nested document field in the query - Displaying the result in pretty form - use of pprint module

Perform basic operations through pymongo client - Query examples - Projection - Sort - Skip - Limit

MongoDB Aggregation Pipeline using pymongo - operators $unwind - $group - $sum - $avg - $max - $min - $sort - function count_documents() - function distinct()

MongoDB Python Conditional or Logical Operators - $lte $lt $gte $gt $in $nin $all $or - Query based on exact match on array elements

Search queries based on pattern matching - Regular Expression module provided by Python RE - Use of the pattern matching with various case examples - Relaxation of case sensitivity in regular expression based searches

MongoDB Python Pymongo functions insert_one() and insert_many() - Python datatype dictionary - Testing success of insert operation

MongoDB Python Delete Operation - Deleting single document function delete_one() - Deleting multiple documents function delete_many()

MongoDB Python Update Operation - Updating single document using update_one() function - Operators $set $inc $push $pull $addToSet $each etc. - Updating multiple documents using update_many() function.