NumPy Anaconda Pandas Scipy Matplotlib Basics of Python – Installation of Python on Windows, Ubuntu, Mac
– Concept of Python Interpreter
– How to use Python
– Understanding Data Structure using Python Introduction to Anaconda Navigator – Why we use Anaconda?
– Working of Anaconda for Python Libraries
– Working with Jupyter Qt Console Overview of Numpy Library in Python – How to Install Numpy in Python
– Using NdArray
– Understanding the process of Creating an Array using Numpy
– List of Available Data Types in Numpy
– Using the dtype option Performing Basic Operations using Numpy – Arithmetic Operators
– Matrix Product
– Increment and Decrement Operators
– Universal Functions
– Aggregate Functions Understanding the Concept of Indexing, Slicing and Iteration – Basics of Indexing in Numpy
– Basic of Slicing in Numpy
– Process of Iterating an Array
– What are Conditions and Boolean Arrays
– Overview of Shape Manipulation Understanding Array Manipulation – Joining Arrays
– Splitting Arrays Other Common Concepts using Numpy – Copying or viewing Objects
– Performing Vectorization
– Using Broadcasting
– Working with Structured Arrays Process of Reading and Writing Array Data on Files Introduction to Pandas Library in Python – Basic Installation of Pandas Library Overview of Pandas Data Structure – Introduction to Series
– Introduction to Dataframes Series – Concept of Declaring a series
– How to select Internal Elements
– Process of Assigning Values to Elements
– Defining a series from Numpy Arrays and Other Series
– How to filter values
– Basic Operations and Mathematical Functions
– Concept of Evaluating Values
– Understanding the concept of NaN Values
– Using Series as Dictionaries Dataframes – How to define a Dataframe
– Understanding the process of Assigning Values
– Defining Membership of a Value
– How to delete a Column
– Filtering values
– Process of Creating Dataframes from Nested Dict
– Understanding Transposition of Dataframe Introduction to Index Objects – Understanding Methods on Index
– Using Index with Duplicate Labels
– Additional Functionalities on Indexes Working with Different Operations between Data Structures – Using Flexible Arithmetic Methods
– Operations between Dataframes and Series Understanding the Process of Reading and Writing Data using Pandas – Working with CSV and Textual Files Concept of Reading and Writing HTML Files Reading Data from XML Working with JSON Data Database Interaction using Pandas – Using SQLite3 for Loading and Writing Data
– Using PostgreSQL for Loading and Writing Data Performing Data Manipulation using Pandas – Introduction to Data Preparation
– Introduction to Data Transformation
– Introduction to Data Aggregation Understanding the concept of Data Preparation – Loading
– Assembling
– Reshaping
– Removing Understanding the concept of Data Transformation – Concept of removing Duplicates
– Using Mapping Functionalities
– Performing Permutation
– Concept of String Manipulation in detail Understanding the Concept of Data Aggregation – Using Groupby
– Understanding Group Iteration Basics of Data Visualization using Matplotlib Library Installation of Matplotlib Using IPython and IPython QtConsole Understanding the Architecture of Matplotlib Overview of PyLab and PyPlot Understanding the Chart Typology – Working with Line Charts using Pandas
– Working with Histograms
– Working with Bar Charts
– Working with Horizontal Bar Charts
– Working with Multiserial Bar Charts Advanced Concept of Charts using matplotlib – Using Contour Plots
– Using Polar Charts Introducing the concept of mplot3d Toolkit – Working with 3D Surface
– Using Scatter Plots in 3D
– Using Bar Charts in 3D Basics of SciPy Understandintg the Environment Setup for Scipy Basic Functionality for Scipy – Introduction to Cluster
– Working with Constants
– Understanding the concept of FFTpack
– Integrate function with Scipy
– Using Interpolate
– Dealing with Input and Output
– Introduction to Linalg
– UsingNdimage
– Concept of Optimization
– Working with Stats
– Overview of CSGraph
– Dealing with Spatial
– Using the concept of ODR
– More advanced concept on some special Package | 
Reviews
There are no reviews yet.