Python Tutorials

Python is an open - source programming language which is used for data manipulation, visualization, web-development and deep learning.

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Python Basics:

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• Types of Variables

• Data Structures in Python

• Dictionaries - detailed tutorial

• All you need to know about Python lists

• List comprehensions in Python

• Enumerate function for lists

• User defined functions (UDFs) in Python

• Mastering args and kwargs in UDFs

• Loops in Python - (for and while + break and continue statement)

• Transposing / Reshaping data in Python - Long to wide formats

• for loop for various iterables

• Map function

• Reduce or accumulate function

• Filter function

• Lambda functions or lambda expressions

• iterrows for iterating over dataframes

• error exceptions with raise- try-except- else- finally

• zip function and zipped objects

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Data Manipulation:

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• Pandas explained completely with examples!!!!

• Transposing / Reshaping data - Long to wide formats

• Encoding Categorical Variables

• Creating new columns

• Renaming columns

• Setting and filtering index in a data frame

• Filtering rows and columns in a data frame

• Creating data frames from dictionaries

• Group by and aggregate function

• Concatenating and appending data

• Creating dummy variables

• Dealing with duplicate values

• Dealing with missing values

• Creating pivot tables

• Merging data - Joins in Python

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Data Visualisation:

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• matplotlib explained completely

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Data Science Algorithms:

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Data pre-processing

• Creating training and test sets in Python

• Encoding Categorical Variables in Python

• Creating dummy variables in Python

• Standardisation and Normalisation in Python

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Algorithms

• Grid Search in Python

• Logistic Regression in Python

• K-Nearest Neighbours in Python

• Decision Trees in Python

• Random Forests in Python

• K-Means Clustering in Python

• Hierarchical Clustering in Python

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