Main Road





Python Tech Training


Working Professionals and Freshers


Online and Classroom Sessions


Week Days and Week Ends

Duration :

1.5  hrs in weekdays and 3hrs during Weekend

Python Objectives

•An overview about Python concepts.
•How to create elements dynamically in Python.
•Learn Python from scratch. Code like a PRO
•Learn how to handle errors and exceptions in Python.
•Learn or brush up with the basics of Python
•You’ll learn how to solve well known problems in Python.
•Learn A to Z of Python from Basic to ADVANCE level.
•Understand Python and how to use to build web applications on to Python.
•Learn how to code in Python. This class is set up for complete beginners!

pythonmasterclass Training Highlights

•We are Known for High-Quality Training
•25+ projects for good Learning experience
•Software & others tools installation Guidance
•Personal attention and guidance for every student
• Greater productivity and increased workforce morale
•We provide you with your recorded session for further Reference
•Our trainers have experience in training End Users & Students & Corporate employees.
•We do Schedule the sessions based upon your comfort by our Highly Qualified Trainers and Real time Experts

Who are eligible for Python

•Application Server, Problem Mgmt, SAP Technical/Functional, BO Developer, Automotive Developer, Protocols, Embedded C, AutoSar, Window Applications
•ETL Developer, Informatica MDM, SAP BO, SAP HANA, Oracle Apps Functional Finance, Finance Modules, 11i, R12, Oracle Apps, Oracle Apps DBA, EBusiness Suite
•Java, Cc++ Developers, .Net Developers, Python Developers, Php Developers, Qa Test Engineers, Sharepoint Developers Veritas Engineers.
•QA Engineers, C++ Developers, Dot Net Developers, Mac Os Developers, Project Manager, Java Developers, Android Developers, IOS Developers
•Webmethods, Spot Fire, Tableau, Sap, Dwh, Oracle Apps, Oracle Dba, Calypso, Murex, Ui Developer, Core Java, Peoplesoft, Jd Edwards, Dot Net, Liferay, C++


Course Trailer
•Python Introduction
•Basic of Programming
•If Statements
•Using For Loops (with Examples)
•Breaking and Continuing In Loops
•Making Shapes with Loops
•Nest Loops, Printing & Tic Tac Toe
•Sets and Dictionaries
•EXAMPLE: Inventory List
•Implementing Input and Output
•Integrating File Input and Output
•EXAMPLE: Tic Tac Toe ()
•EXAMPLE: Writing Participant Data to File
•EXAMPLE: Reading Participant Data to File
•EXAMPLE: Simple Statistics with Data from File
•A First Look at Classes
•Inheritance and Classes
•EXAMPLE: Classes Using Pets
•EXAMPLE: Classes Using Dogs
•EXAMPLE: Classes Using Cats
•EXAMPLE: Adding Humans to Pets Class
•Importing and the Random Library
•Another Way to Import and Use Lists with Random
•Using the Time Library
•EXAMPLE: Make a Random Guessing Game
•EXAMPLE: Make Computer Guess a Number
•PROJECT: Python Blackjack Game
•Creating and Shuffling a Deck
•Creating a Player Class
•Expanding the Player Class
•Implementing a Bet and Win
•Implementing Player Moves
•Running the Game
•Error Handling
•Hello Mammoth
•​Declaring Variables​
•Calling Functions
•Declaring a Class
•Installing Matplotlib
•Basics of Matplotlib
•Setup and Installation
•Creating our First Scatter Plot
•Line Plots
•Graph Customization
•Labels, Title and Legend
•Changing the Axis Ticks
•Adding Text to a Graph
•Annotating a Graph
•Changing Figure Size and Saving
•Changing Axis Scales
•Advanced Plots in Matplotlib
•Creating Histograms ()
•Changing Histogram Types
•Bar Plots
•Stack Plots
•Pie Charts
•Box and Whisker Plots
•Finance Graphs
•Creating Figures and Subplots
•Getting and Parsing CSV Data for Plotting
•Creating a Candlestick Plot
•Setting Dates for our Candlestick Plot
•Reading Data directly from Yahoo
•Customizing our OHLC Graph
•Advanced Graph Customization
•Adding Grids
•Tick Labels
•Customizing Grid Lines
•Live Graphs
•Styles and rc Parameters
•Sharing an X-axis between Two Plots
•Setting Axis Spines
•Creating Multiple Axes in a Figure ()
•Plotting into Multiple Axes ()
•3D Plotting with Matplotlib
•Surface Plots and Colormaps
•Wireframes and Contour Plots
•Stacks of Histograms and Text for 3D Plotting
•NumPy Introduction
•NumPy Arrays
•Create and Reshape NumPy Arrays
•Create Standard NumPy Arrays
•Create Standard 2D Arrays
•Attributes on NumPy Arrays
•Resizing Arrays
•Manipulating NumPy Arrays
•Write an Array to File and Format Strings
•Random Numbers
•Sorting in NumPy
•Calculations and Math
•Calculations within NumPy Arrays
•Math Functions with NumPy
•Integrating with NumPy
•Statistics with NumPy
•Polynomials ()
•Please rate this course
•Introduction to Python
•Introduction to Lists
•Introduction to Loops
•Introduction to Sets and Dictionaries
•Introduction to Input and Output
•Introduction to Classes
•Introduction to Importing