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Introduction To Python 3

Course

INTRODUCTION TO PYTHON 3

Category

Python Computer Training

Eligibility

Freshers and Career Changers

Mode

Online and Classroom Sessions

Batches

Week Days and Week Ends

Duration :

Daily 2 hrs during Weekdays

Python Objectives

•Basic to Advance concepts of Python
•Learn how to use and interpret Python.
•Learn how to use conditional statements in Python.
•Learn End to End Python complete ground up
•Learn How to interact with Python, Step By Step
•Learn fundamentals of Python for Beginners: Practical and hands-on learning
•How to focus on writing the correct code to execute Python.
•you will be confident in your skills as a Developer / designer
•Learn and understand the fundamentals of Python and how to apply it to web development.

introduction to python 3 Course Features

•Post training offline support available
•Basic Training starting with fundamentals
•Software & others tools installation Guidance
•Create hands-on projects at the end of the course
•Fast track and Sunday Batches available on request
•Hands On Experience – will be provided during the course to practice
•Live project based on any of the selected use cases, involving implementation of the concepts
•Very in depth course material with Real Time Scenarios for each topic with its Solutions for Online Trainings.

Who are eligible for Python

•.Net, Automation Testing, Php, Front End, Graphic Designing, Ui Designing, It Recruiter, Facility Management, Odi Developer, Hyperion Essbase, Java, Devops
•Front End, Javascript, Computer Graphics, Html, Css, Problem Solving, CSS, Web Technologies, Design, Software Development, Full Stack Developer
•Java, Scrum Master, Agile, C#, It, Al, Big Data, Hadoop, .Net, Non It, It Recruitment, Ios, Android, React, Web Designing, Selenium, Testing, Qa, Cloud
•Security Associate, Security Monitor, Security Analyst, senior security operations analyst, Software Engineer, Software Developer, Java Developer, DevopsUI/Web Developer, UX Designer, Java Developer, PHP Developer, IOS/Android Developer, Business Development Executive, .NET Developer, .NET Lead, PHP Lead

INTRODUCTION TO PYTHON 3 Syllabus

•Python is now the fastest growing programming language in the world, and rapidly rising to the top to become the most popular.
•Starting as a niche scripting language, it has evolved over the years to become a much loved and powerful general purpose programming language. It finds use in all walks of life, from web services to embedded systems, from data analysis to artificial intelligence. Most university level engineering and science students must have a grasp of python for numerical and data analysis tasks. Software professionals must also quickly scale up their familiarity with python as it makes rapid strides in the corporate world. Tech majors from Google to IBM, Microsoft, Amazon and Facebook now use python.
•This course aims to provide a solid grounding in python for those students who have some understanding of computer programming or already know another programming language. Working professionals who have some familiarity with computer programming or are experts in other programming languages will also benefit from this course.  Even if you have already done some programming in python, this course can help you refresh your knowledge and solidify your grasp of the language. The syllabus is modeled after programming languages courses taught in most prestigious universities around the world.
•What this course will cover:
•Numbers and Strings
•Variables, Statements and Expressions
•Functions
•Lists and Dictionaries
•Control Flow and Looping
•Sets and Tuples
•File and Console I/O
•Python Objects and Namespaces
•Object Oriented Programming
•Functional Programming
•Exception Handling
•The Python Standard Library
•Regular Expressions
•Testing and Debugging
•The course lectures are organized into Sections. Each Lecture has in-lecture Quizzes, and each Section has a Coding Exercise. There are 2 practice tests — a mid-term exam and a final exam.
•Only the Practice Tests and Coding Exercises are graded.
•Lectures also include more than 150 live demonstrations of actual python code snippets to explain every concept.
•So join this course now, and open the door to new avenues, skills and career opportunities.
•Enroll Now! Refer a friend and earn gifts! For details, contact info@tooringanalytics.com.
•Who this course is for:
•Beginner computer programmers curious about the python programming language
•Programmers familiar with one of more programming languages other than python
•Professionals and University Students from non-computing disciplines who require Python skills
•Python developers looking to sharpen their skills
•Undergraduate or first year college students
•India: 10-12th standard students, FY/SY Engineering, FY/SY BSc/BCom/BCS etc students.
•Introduction to Python
•Installing the Python Interpreter (CPython) on Windows
•Installing the Python Interpreter (CPython) on Linux
•Installing the Python Interpreter (CPython) on OS X
•Numbers and Arithmetic
•Strings
•Objects, Values and Types
•The Python Programming Language
•Running Python Programs
•Recap
•Homework 1: Python as a Calculator
•1 question
•Variables, Expressions and Statements
•Variables
•Statements, Expressions and Operators
•Errors
•String Operations
•Homework 2: Printing a Multiplication Table
•Lists, Dictionaries and Functions
•Lists
•Dictionaries
•Conditional Evaluation
•Homework 3: Simple Data Analysis
•More Data Structures and I/O
•Tuples
•Sets
•Useful String Operations
•File Input and Output
•Python Modules
•Advanced Functions
•Homework 4: Wordcount
•Mid-Term Exam
•Object Oriented and Functional Programming
•Python Objects
•Python Namespaces
•Raw Strings and f-Strings
•Homework 5.1: Object Oriented Oriented Programming
•Homework 5.2: Functional Programming
•Revisiting Modules and Packages
•Regular Expressions and the re Package
•Systems Programming Packages
•Other Packages
•Third Party Packages
•Date and Time Processing in Python
•Homework 6: Popular Baby Names
•Debugging
•Testing
•Unit Testing
•Integration and Functional Testing
•Recap and Conclusion
•Homework 7: Unit Testing
•Final Exam