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Python 3 Data Processing With Pandas Matplotlib And Plotly




Python Online Institute


Lateral Entry Professionals and Freshers


Online and Classroom Sessions


Week Days and Week Ends

Duration :

60 Days

Python What will you learn?

•Basic to Advance concepts of Python
•Learn how to perform cross-validation in Python.
•Learn To Create Python Programs The Easy Way
•Learn how to handle errors and exceptions in Python.
•Learn from the basic and core guide to Python
•Learn Python For Beginners. The Complete Course With Practical Examples
•Learn Basic and Advanced Python Programming and become a Python Developer
•Understand Python and how to use to build web applications on to Python.
•Learn a multitude of Python to take your skills to the next level!

python 3 data processing with pandas matplotlib and plotly Course Features

•Free Aptitude classes & Mock interviews
•Exercises and handouts after every session
•Fast Track course available with best Fees
•Trainer support after completion of the course
•60+ Hours of Intensive Classroom & Online Sessions
• Finessing your tech skills and help break into the IT field
•Training time :  Week Day / Week End – Any Day Any Time – Students can come and study
•Very in depth course material with Real Time Scenarios for each topic with its Solutions for Online Trainings.

Who are eligible for Python

•big data analytics, java, J2ee, Ui Development, user interface designing, Big Data, spark, scala, pyspark, python, cloudera, aws, Industry Marketing, business
•HPSM, HPAM, HP PPM, HPBSM, Python, SAP Apo, SAP APO DP, SAP APO SNP, Testing, HP DMA, SAP MM, Mainframe Developer, ETL Testing, JAVA Developer
•Ms Crm, Guidewire, Sdm, Sde2, Qae, Sdet, Jbpm, Ext Js, Windows Admin, Full Stack, Aem, Spark, Hadoop, Big Data, Data Engineer, Azure, Cloud, OpentextQA and Testing, erp, IMS, Cloud Computing, c# c c++, core java j2ee, oracle plsql unix shell script, cobol jcl db2 vsam cics, Sharepoint C#
•Software Developer, quality testing engineers, Ui Developers, Oracle Apps, Sap Modules, Sharepoint Developers, Tibco Developers, .net Developers, java


Objectives, Prerequisites, and Audience Profile
•Topics Overview
•Please do leave your feedback
•Scientific Python Ecosystem
•Important Projects in Scientific Python Ecosystem
•Python 3 on Windows
•Install Python 3 on Windows
•Verify Python installation and environment
•Python 3 on Raspberry Pi
•What is Raspberry Pi
•Raspberry Pi 3B+ unboxing
•List of URLs for software download
•Raspbian OS Setup Part 1
•Raspbian OS Setup Part 2
•Remote Desktop with VNC
•List of commands used in this section
•Install IDLE3 on Raspberry Pi Raspbian
•Python 3 Basics
•Hello World on Windows
•Hello World on Raspberry Pi
•Python 3 Interpreter Mode vs Script Mode
•Raspberry Pi vs PC
•PyPI and pip
•Python Package Index and pip
•pip on Windows
•pip3 on Raspberry Pi
•Install NumPy and Matplotlib
•Install NumPy and Matplotlib on Windows
•Install NumPy and Matplotlib on Raspberry Pi
•Jupyter Notebook
•Jupyter and IPython
•Jupyter Installation on Windows
•Jupyter Installation on Raspberry Pi
•Install PuTTY
•Connect to the remote Jupyter Notebook
•A brief tour of Jupyter
•Getting started with NumPy
•Introduction to NumPy
•Ndarrays, Indexing, and Slicing
•Ndarray Properties
•NumPy constants
•NumPy Datatypes
•Creation of Arrays and Matplotlib
•Ones and Zeroes
•What is Matplotlib?
•Numerical ranges and visualizations
•Random Sampling
•Array Manipulation
•Bitwise Operations
•Statistical Functions
•Plotting in detail
•Single Line Plots
•Multiline Plots
•Grid, Axes, and Labels
•Colors, Lines, and Markers
•Installing SciPy and Pandas
•Introduction to SciPy
•Install SciPy on Windows
•Install SciPy on Raspberry Pi
•What is Pandas
•Install Pandas on Windows
•Install Pandas on Raspberry Pi
•Matrices and Linear Algebra
•Dot Products
•Vector Dot Products
•Inner Product
•QR Decomposition
•Determinant Solving and Linear Equations
•Linear Algebra with SciPy
•Data Acquisition with Python, NumPy, and Matplotlib
•Plain Text File
•Handle Excel File
•NumPy file format
•CSV File reading with NumPy
•Matplotlib Cbook
•Python 3 and MySQL
•MySQL installation on Windows
•Getting started with MySQL
•Install SQL Developer on Windows
•Connect MySQL with SQL Developer
•Exploring MySQL workbench
•pymysql installation on Windows
•Connect to MySQL with Python 3
•Execute DDL
•Series and Dataframes in Pandas
•Data Acquisition with Pandas
•Read CSV
•Read Excel
•Read JSON
•Pandas and Web
•Read SQL
•Visualization with Plotly
•Installation and Density Plots
•Error bar
•Box Plots
•More Histograms
•Bullet Charts
•Tabular Visualization
•Facets and Trellis
•Histogram Contour
•Plotly and Matplotlib
•Getting Started
•Set Background
•Line and scatter
•Bubble Chart
•Filled area plots
•Scientific Visualization and Statistics
•Quiver Plots
•Downloadable Contents
•Code Bundle