Канал: Chaudhary Data World

Operation in Numpy Matrix

Operation in Numpy Matrix

Matrix in Numpy

Matrix in Numpy

Universal Function in Numpy Array

Universal Function in Numpy Array

Reshaping in Numpy Array

Reshaping in Numpy Array

Indexing & Slicing in Numpy Array

Indexing & Slicing in Numpy Array

Numpy Array Manipulation Part6

Numpy Array Manipulation Part6

Numpy array Manipulation - Part5

Numpy array Manipulation - Part5

Numpy Array Manipulation - Part4

Numpy Array Manipulation - Part4

Numpy Array Manipulation - Part3

Numpy Array Manipulation - Part3

Numpy Array Manipulation - Part2

Numpy Array Manipulation - Part2

Numpy Array Manipulation - Part1

Numpy Array Manipulation - Part1

numpy.random() module

numpy.random() module

Create Numpy Array

Create Numpy Array

Introduction to Numpy

Introduction to Numpy

Heat Map in Matplotlib

Heat Map in Matplotlib

Box Plot in Matplotlib

Box Plot in Matplotlib

Pie Chart in Matplotlib

Pie Chart in Matplotlib

Histogram in Matplotlib

Histogram in Matplotlib

Introduction to Pandas series

Introduction to Pandas series

Bar Plot in Matplotlib

Bar Plot in Matplotlib

Scatter Plot in Matplotlib

Scatter Plot in Matplotlib

Line Plot in Matplotlib

Line Plot in Matplotlib

Introduction to Matplotlib

Introduction to Matplotlib

Schema in MongoDB Compass

Schema in MongoDB Compass

MongoDB Compass - $unionWith in Pipeline

MongoDB Compass - $unionWith in Pipeline

MongoDB Compass - $lookup in Pipeline

MongoDB Compass - $lookup in Pipeline

MongoDB Compass - $Group in Pipeline

MongoDB Compass - $Group in Pipeline

MongoDB Compass - $Fill in Pipeline

MongoDB Compass - $Fill in Pipeline

MongoDB Compass - Add Field | Count | Limit | Match | Project in Pipeline

MongoDB Compass - Add Field | Count | Limit | Match | Project in Pipeline

[Advance] Outer Apply and Cross Apply in SQL

[Advance] Outer Apply and Cross Apply in SQL

MongoDB Compass Aggregation | Creating the pipeline - Example

MongoDB Compass Aggregation | Creating the pipeline - Example

Drop or Keep fields in MongoDB Compass

Drop or Keep fields in MongoDB Compass

Filtering Data & Sorting Data in MongoDB Compass

Filtering Data & Sorting Data in MongoDB Compass

Getting Started with MongoDB

Getting Started with MongoDB

Introduction to NoSQL

Introduction to NoSQL

Export Dataframe with Pandas

Export Dataframe with Pandas

Data Visualisation with Pandas

Data Visualisation with Pandas

Merging & Joining Dataframes with Pandas

Merging & Joining Dataframes with Pandas

Sorting and Ranking in Pandas

Sorting and Ranking in Pandas

GroupBy with Pandas

GroupBy with Pandas

Data Transformation with Python in Pandas - Part3

Data Transformation with Python in Pandas - Part3

Data Transformation with Pandas - Part2

Data Transformation with Pandas - Part2

Data Transformation with Python in Pandas - Part1

Data Transformation with Python in Pandas - Part1

Data selection and indexing with Pandas - Part3

Data selection and indexing with Pandas - Part3

Data selection and indexing with Pandas - Part2

Data selection and indexing with Pandas - Part2

Data selection and indexing with Pandas - Part1

Data selection and indexing with Pandas - Part1

Cleaning Data with Pandas

Cleaning Data with Pandas

Dataset Exploration with Pandas

Dataset Exploration with Pandas

Frequently used arguments in Import of Data - Pandas

Frequently used arguments in Import of Data - Pandas

Import Dataset in Pandas Dataframe

Import Dataset in Pandas Dataframe

Introduction to Pandas

Introduction to Pandas

[Advance] Type of Indexes in SQL

[Advance] Type of Indexes in SQL

[Advance] Horizontal Partitioning in SQL

[Advance] Horizontal Partitioning in SQL

[Advance] Vertical Partitioning in SQL

[Advance] Vertical Partitioning in SQL

[Advance] What is Partitioning in SQL?

[Advance] What is Partitioning in SQL?

[Advance] Schemabinding in SQL

[Advance] Schemabinding in SQL

[Advance] Window function in SQL

[Advance] Window function in SQL

[Advance] CTE in SQL

[Advance] CTE in SQL

[Advance] Anti Join in SQL

[Advance] Anti Join in SQL

[Advance] Natural Join in SQL

[Advance] Natural Join in SQL

[Advance] cross join in SQL

[Advance] cross join in SQL

[Advance] self join in SQL

[Advance] self join in SQL

[Advance] Synonyms in Sql

[Advance] Synonyms in Sql

[Advance] Triggers in SQL

[Advance] Triggers in SQL

[Advance] Functions in SQL

[Advance] Functions in SQL

[Advance] Group & Roles in SQL

[Advance] Group & Roles in SQL

[Advance] DCL - Grant, Revoke & Deny in SQL

[Advance] DCL - Grant, Revoke & Deny in SQL

[Advance] DCL - Schemas in SQL

[Advance] DCL - Schemas in SQL

[Advance] DCL - Login and User in SQL

[Advance] DCL - Login and User in SQL

[Advance] - Stored Procedure in SQL

[Advance] - Stored Procedure in SQL

[Advance] - Views in SQL

[Advance] - Views in SQL

TCL - Create & Drop Index in SQL

TCL - Create & Drop Index in SQL

TCL - Modify & Delete Constraints in SQL

TCL - Modify & Delete Constraints in SQL

TCL Create Constraints in SQL

TCL Create Constraints in SQL

TCL - SET TRANSACTION & BEGIN TRANSACTION in SQL

TCL - SET TRANSACTION & BEGIN TRANSACTION in SQL

TCL - Commit, Savepoint & Rollback in SQL

TCL - Commit, Savepoint & Rollback in SQL

DQL - CASE & EXISTS || Conditionals in SQL

DQL - CASE & EXISTS || Conditionals in SQL

DQL - SELECT INTO & INSERT INTO in SQL || Copy Table Data in SQL

DQL - SELECT INTO & INSERT INTO in SQL || Copy Table Data in SQL

DQL - ALL & ANY in SQL

DQL - ALL & ANY in SQL

DQL - Joins & Union in SQL

DQL - Joins & Union in SQL

DQL – GroupBy & Having in SQL

DQL – GroupBy & Having in SQL

DQL – Wildcards Characters in SQL

DQL – Wildcards Characters in SQL

DQL – Top, Order By, Min/Max, Avg, Sum

DQL – Top, Order By, Min/Max, Avg, Sum

DQL – Select, Count, Distinct, Where(filter), AND, OR, NOT - PART 1

DQL – Select, Count, Distinct, Where(filter), AND, OR, NOT - PART 1

Locking in SQL - Part1

Locking in SQL - Part1

DML Commands in SQL

DML Commands in SQL

DDL Commands in SQL

DDL Commands in SQL

Categories Subsets DCL,DML,DQL,DCL,TCL in SQL

Categories Subsets DCL,DML,DQL,DCL,TCL in SQL

What is Data Cataloging / Meta Data Management ?

What is Data Cataloging / Meta Data Management ?

Data Modeling - Normalization

Data Modeling - Normalization

Data Modeling - Unified Modeling Language (UML)

Data Modeling - Unified Modeling Language (UML)

Data Modeling - Data Vault Modeling

Data Modeling - Data Vault Modeling

Data Modeling - Object Oriented Data Modeling

Data Modeling - Object Oriented Data Modeling

Data Modeling - All types of Dimensions in Data Warehouse

Data Modeling - All types of Dimensions in Data Warehouse

Data Modeling - What is Slowly Changing Dimension?

Data Modeling - What is Slowly Changing Dimension?

Data Modeling - Star Schema Vs. Snowflake Schema Vs. Galaxy Schema

Data Modeling - Star Schema Vs. Snowflake Schema Vs. Galaxy Schema

Data Modeling - Introduction on Dimensional Modeling

Data Modeling - Introduction on Dimensional Modeling

Data Modeling - What is Data Flow Diagram (DFD)?

Data Modeling - What is Data Flow Diagram (DFD)?

Data Modeling - Entity Relationship Modeling(ER Model | ER Diagram)

Data Modeling - Entity Relationship Modeling(ER Model | ER Diagram)

What is Data Modeling?

What is Data Modeling?

Data Warehousing - Easy explanation 👌

Data Warehousing - Easy explanation 👌

What is Business Intelligence?

What is Business Intelligence?

Overview of utility functions in Databricks

Overview of utility functions in Databricks

Magic Commands in Databricks

Magic Commands in Databricks

Cache, Persist & Checkpoint in Pyspark - Databricks

Cache, Persist & Checkpoint in Pyspark - Databricks

Map & Reduce in Spark - Databricks

Map & Reduce in Spark - Databricks

Broadcast Variables Vs. Accumulators in Spark - Databricks

Broadcast Variables Vs. Accumulators in Spark - Databricks

DAG in Spark - DAG | STAGES | TASKS - Databricks

DAG in Spark - DAG | STAGES | TASKS - Databricks

Lazy Evaluation in Spark - Databricks

Lazy Evaluation in Spark - Databricks

Transformation, Action & Shuffling in Spark explained - Databricks

Transformation, Action & Shuffling in Spark explained - Databricks

Partition in Spark - repartition & coalesce - Databricks - Easy explanation 👌 Must Checkout !

Partition in Spark - repartition & coalesce - Databricks - Easy explanation 👌 Must Checkout !

Sparksession vs. Sparkcontext in Spark - Databricks

Sparksession vs. Sparkcontext in Spark - Databricks

What is Sparksession? - Spark | Pyspark | Databricks

What is Sparksession? - Spark | Pyspark | Databricks

Apache Spark Architecture

Apache Spark Architecture

RDD Vs Dataframe in Pyspark - Databricks

RDD Vs Dataframe in Pyspark - Databricks

Window functions in Pyspark Databricks - Easy Explanation 👌 - Do checkout

Window functions in Pyspark Databricks - Easy Explanation 👌 - Do checkout

rollup and cube in pyspark - Databricks

rollup and cube in pyspark - Databricks

Unpivot in Pyspark Dataframe (easy explanation 👌) - Databricks

Unpivot in Pyspark Dataframe (easy explanation 👌) - Databricks

Pivot in Pyspark Dataframe - Databricks

Pivot in Pyspark Dataframe - Databricks

All Joins expalined with examples in Pyspark Dataframe - Databricks

All Joins expalined with examples in Pyspark Dataframe - Databricks

Dataframe Vs. RDD in Pyspark - All differences explained - Databricks

Dataframe Vs. RDD in Pyspark - All differences explained - Databricks

orderBy & sort in Pyspark DataFrame - Databricks

orderBy & sort in Pyspark DataFrame - Databricks

Add, Delete & Update Row in Pyspark Dataframe - Databricks

Add, Delete & Update Row in Pyspark Dataframe - Databricks

Group By with Aggregate Function in Pyspark Dataframe explained - Databricks

Group By with Aggregate Function in Pyspark Dataframe explained - Databricks

Filter Pyspark Dataframe- All Scenarios explained (filter | where) - Databricks

Filter Pyspark Dataframe- All Scenarios explained (filter | where) - Databricks

All Pyspark methods for na|Null Values in DataFrame - dropna|fillna|where|withColumn for Databricks

All Pyspark methods for na|Null Values in DataFrame - dropna|fillna|where|withColumn for Databricks

Loop in Pyspark Dataframe - map & foreach in Databricks

Loop in Pyspark Dataframe - map & foreach in Databricks

Get metadata in DataFrame - printSchema, schema & dtypes in Pyspark - Databricks

Get metadata in DataFrame - printSchema, schema & dtypes in Pyspark - Databricks

Pyspark Actions - show | first | head | tail | take | count in Databricks

Pyspark Actions - show | first | head | tail | take | count in Databricks

ADD Column & Drop Column in Pyspark Dataframe - Databricks

ADD Column & Drop Column in Pyspark Dataframe - Databricks

Select & Rename column in Pyspark - Databricks

Select & Rename column in Pyspark - Databricks

Different ways to create Dataframe in Pyspark - Databricks

Different ways to create Dataframe in Pyspark - Databricks

Getting Started with Pyspark in Databricks - Loading file to Dataframe

Getting Started with Pyspark in Databricks - Loading file to Dataframe

Explore options on Databricks - All options explained

Explore options on Databricks - All options explained

Introduction to Databricks | What is Databricks?

Introduction to Databricks | What is Databricks?

DAX - ADDMISSINGITEMS & SUMMARIZECOLUMNS in Power BI

DAX - ADDMISSINGITEMS & SUMMARIZECOLUMNS in Power BI

DAX - ROLLUPADDISSUBTOTAL in PowerBI

DAX - ROLLUPADDISSUBTOTAL in PowerBI

DAX - TREATAS in Power BI

DAX - TREATAS in Power BI

DAX - ROLLUP & ROLLUPGROUP in POWER BI

DAX - ROLLUP & ROLLUPGROUP in POWER BI

DAX - NATURALINNERJOIN Vs. NATURALLEFTOUTERJOIN Vs. CROSSJOIN in Power BI

DAX - NATURALINNERJOIN Vs. NATURALLEFTOUTERJOIN Vs. CROSSJOIN in Power BI

DAX - GENERATE, GENERATEALL & GENERATESERIES in Power BI

DAX - GENERATE, GENERATEALL & GENERATESERIES in Power BI

DAX - SUMMARIZE Vs. SUMMARIZECOLUMNS in Power BI

DAX - SUMMARIZE Vs. SUMMARIZECOLUMNS in Power BI

DAX - SUMMARIZE Vs. GROUPBY in PowerBI

DAX - SUMMARIZE Vs. GROUPBY in PowerBI

DAX - SUMMARIZE in Power BI

DAX - SUMMARIZE in Power BI

DAX - LOOKUPVALUE & SELECTCOLUMNS in PowerBI

DAX - LOOKUPVALUE & SELECTCOLUMNS in PowerBI

DAX - Table Constructor & TOPN in Power BI

DAX - Table Constructor & TOPN in Power BI

DAX - DISTINCT(table) Vs. DISTINCT(column) in Power BI

DAX - DISTINCT(table) Vs. DISTINCT(column) in Power BI

DAX - EXCEPT Vs. FILTERS in Power BI

DAX - EXCEPT Vs. FILTERS in Power BI

DAX - UNION in Power BI

DAX - UNION in Power BI

DAX - PRODUCT Vs. PRODUCTX in Power BI

DAX - PRODUCT Vs. PRODUCTX in Power BI

DAX - AVERGAE, AVERAGEA & AVERAGEX in Power BI

DAX - AVERGAE, AVERAGEA & AVERAGEX in Power BI

DAX - DISTINCTCOUNT Vs. DISTINCTCOUNTNOBLANK in Power BI

DAX - DISTINCTCOUNT Vs. DISTINCTCOUNTNOBLANK in Power BI

DAX - COUNT, COUNTA, COUNTBLANK, COUNTROWS, COUNTX & COUNTAX in Power BI

DAX - COUNT, COUNTA, COUNTBLANK, COUNTROWS, COUNTX & COUNTAX in Power BI

DAX - MAX, MAXA, MAXX, MIN, MINA, MINX in Power BI

DAX - MAX, MAXA, MAXX, MIN, MINA, MINX in Power BI

DAX - SUM Vs. SUMX in Power BI

DAX - SUM Vs. SUMX in Power BI

DAX - BITRSHIFT Vs. BITLSHIFT in Power BI

DAX - BITRSHIFT Vs. BITLSHIFT in Power BI

DAX - BITAND | BITOR | BITXOR in Power BI

DAX - BITAND | BITOR | BITXOR in Power BI

DAX - IF, IF.EAGER, IFERROR in Power BI

DAX - IF, IF.EAGER, IFERROR in Power BI

DAX - LOGICAL OPERATORS - AND, OR, NOT, TRUE & FALSE in Power BI

DAX - LOGICAL OPERATORS - AND, OR, NOT, TRUE & FALSE in Power BI

DAX - All Trigonometric Function in Power BI

DAX - All Trigonometric Function in Power BI

DAX - GCD, DIVIDE & MOD in Power BI

DAX - GCD, DIVIDE & MOD in Power BI

DAX - FLOOR Vs. MROUND Vs. CEILING Vs. ISO.CEILING in Power BI

DAX - FLOOR Vs. MROUND Vs. CEILING Vs. ISO.CEILING in Power BI

DAX - EXP Vs LN, LOG, LOG10 (Exponent and Logarithm) in Power BI

DAX - EXP Vs LN, LOG, LOG10 (Exponent and Logarithm) in Power BI

DAX - ROUND, ROUNDUP, ROUNDDOWN & MROUND in Power BI

DAX - ROUND, ROUNDUP, ROUNDDOWN & MROUND in Power BI

DAX - INT Vs Trunc in Power BI

DAX - INT Vs Trunc in Power BI

DAX - RADIAN & DEGREE in Power BI

DAX - RADIAN & DEGREE in Power BI

DAX - Power, Sqrt & SqrtPI in Power BI

DAX - Power, Sqrt & SqrtPI in Power BI

DAX - INT() & PI() in Power BI

DAX - INT() & PI() in Power BI

DAX - EVEN & ODD in Power BI

DAX - EVEN & ODD in Power BI

DAX - ABS & SIGN in Power BI

DAX - ABS & SIGN in Power BI

DAX - YEAR & YEARFRAC in Power BI

DAX - YEAR & YEARFRAC in Power BI

DAX - WEEKNUM & WEEKDAY in Power BI

DAX - WEEKNUM & WEEKDAY in Power BI

DAX - UTCTODAY Vs. UTCNOW in Power BI

DAX - UTCTODAY Vs. UTCNOW in Power BI

DAX - YEAR, MONTH & QUARTER in Power BI

DAX - YEAR, MONTH & QUARTER in Power BI

DAX - HOUR. MINUTE & SECOND in Power BI

DAX - HOUR. MINUTE & SECOND in Power BI

DAX - EDATE & EOMONTH in Power BI

DAX - EDATE & EOMONTH in Power BI

DAX - DATE, DAY & TODAY in Power BI

DAX - DATE, DAY & TODAY in Power BI

DAX - CALENDAR Vs. CALENDARAUTO in Power BI

DAX - CALENDAR Vs. CALENDARAUTO in Power BI

DAX - REPT & VALUE in Power BI

DAX - REPT & VALUE in Power BI

DAX - UNICHAR Vs UNICODE in Power BI

DAX - UNICHAR Vs UNICODE in Power BI

DAX - LEN, MID & TRIM in Power BI

DAX - LEN, MID & TRIM in Power BI

DAX - UPPER & LOWER in Power BI

DAX - UPPER & LOWER in Power BI

DAX - LEFT Vs. RIGHT in Power BI

DAX - LEFT Vs. RIGHT in Power BI

DAX - Exact & Find Function in Power BI

DAX - Exact & Find Function in Power BI

DAX - Combinevalues & Concatenate in Power BI

DAX - Combinevalues & Concatenate in Power BI

Calculated Column Vs. Calculate Measure in Power BI

Calculated Column Vs. Calculate Measure in Power BI

Explore All Overview Options in Power BI Desktop

Explore All Overview Options in Power BI Desktop

All About Query Settings in Power Query Editor - Power BI

All About Query Settings in Power Query Editor - Power BI

All About Diagnostic of Tools in Power Query Editor - Power BI

All About Diagnostic of Tools in Power Query Editor - Power BI

All About View in Power Query Editor - Power BI

All About View in Power Query Editor - Power BI

Add Column - Create Index Column in Power Query Editor - Power BI

Add Column - Create Index Column in Power Query Editor - Power BI

Add Column - Conditional Column in Power Query Editor - Power BI

Add Column - Conditional Column in Power Query Editor - Power BI

Create Custom Function & Invoke Custom Function in Power Query Editor - Power BI

Create Custom Function & Invoke Custom Function in Power Query Editor - Power BI

Custom Column in Power Query Editor - Power BI

Custom Column in Power Query Editor - Power BI

Add Column - Column From Example - From All Columns & Selection in Power Query Editor - Power BI

Add Column - Column From Example - From All Columns & Selection in Power Query Editor - Power BI

Run Python Script in Power Query Editor - Power BI

Run Python Script in Power Query Editor - Power BI

Duration - Multiply, Divide & Statistics in Power Query Editor - Power BI

Duration - Multiply, Divide & Statistics in Power Query Editor - Power BI

Duration - Total Year, Days, Hours, Min & Sec in Power Query Editor - Power BI

Duration - Total Year, Days, Hours, Min & Sec in Power Query Editor - Power BI

Duration - Day, Hour, Minute, Sec in Power Query Editor - Power BI

Duration - Day, Hour, Minute, Sec in Power Query Editor - Power BI

Combine Date & Time | Earliest & Latest Time in Power Query Editor - Power BI

Combine Date & Time | Earliest & Latest Time in Power Query Editor - Power BI