Python Training will make you an expert in Python Programming Language to become a Professional Python Developer with 10+ Real Time Projects. Learn Python & Django Framework from the Scratch to build dynamic web applications with Hands-on Demo Sessions. This Course will help you to learn Python for Machine Learning, AI, Web development and Data Science with Certified trainers and updated Syllabus. You will gain In-depth Knowledge in Python game development using Python 2 & Python 3 with our Python training Course.

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Overview of Python Course

What is Python?

Python is one popular and most crucial high-level programming language utilized for software development, web development, system scripting, and mathematics.
There are two primary factors why we have to use Python is software quality and developer productivity. It’s commonly used in a variety of domains like Web programming, Internet Scripting, database, numeric and scientific programming, Gaming thus it also known as a general-purpose language.
The major technical strengths of this language are readability, easy to use, and learn, it’s free and supported object-oriented, it is portable.
Python Training has dynamically typed language so every operation can be done on the fly. Python codes can be shipped or placed on the web more securely as it execution involves Python® Virtual Machine ( PVM ) and bytecode compilation which is platform-independent. Python is a high-level language with features of object-oriented programming.
Click Here to Know About → Top 12 Reasons to Learn Python

What can Python do?

  • Python can be utilized aside software to develop workflows and perform data analysis.
  • It can operate on servers to build web applications.
  • Database systems can be connected with Python to read and revise files.
  • Big data and complex mathematics can be handled using Python.
  • It is commonly used in a variety of domains like web programming, database, internet scripting, numeric and scientific programming, gaming. Thus it is known as a general-purpose language.

Why Python?

  • Clear syntax and expressive
  • Easy to use
  • Supports object-oriented and functional programming
  • Highly compact and manageable.
  • Employs machine-independent byte codes
  • Works on different platforms

Objectives of Python Training at Yuva Sakthi Academy

  • The course structure delivers a detailed understanding of scripting elements like variables and flow control.
  • The Python training brings up basics to advanced levels of the language.
  • Regular expression, data type, Tuple, and array are other special features in the academic structure.
  • The standard library of Python and its object-oriented features are introduced.

Reasons to Choose Yuva Sakthi Academy for Python Training

  • We are the best python training institute , delivering the best Python code training, covering all course modules during the python training classes. Students can also enroll for 100% python placement training.
  • Our team of trainers is working professionals having more than ten years of training expertise. An Industry Expert and working professional supports students in completing live projects and provides interview questions, preparation classes, and job placement assistance.
  • The training institute of Python Course at Yuva Sakthi Academy is a meticulous learning journey that facilitates the participants to get well oriented with the essential Python concepts.
  • Under the supervision of expert Python professionals, this python program also provides hands-on classroom training in Advanced Python frameworks that includes Lambda Function, Exception Handling, Decorators, Collections, Generators, etc., Python Machine Learning, and Python Data Science.
  • Aspirants will gain the core abilities required by a software engineer to tackle real-world challenges after completing the Python programming course.
  • Students gain the ability to debug programs, construct various algorithms, and professionally execute python code.

Why Wait? Take a 100% Placement Assurance Python Course to kickstart your career!
Click Here to Check Latest Updated – Python Interview Questions and Answers

Eligibility for Python Training

The Python programming course is open to all students. Students from any discipline can enroll in Python courses, whether they are graduates, postgraduates, or 12th graders. The Python course is heavily focused on teaching students the fundamentals of the language. Any Freshers, B.E./ Bsc Candidate, Any Engineers, Any Graduate, Any Postgraduate, Working Professionals can enroll in this course.

Prerequisites for Python Training

  • Willingness to learn is the foremost prerequisites
  • Additionally, basic knowledge of coding will help you understand things better.
  • Work experience in software is an additional benefit
  • Knowledge of C, C#, Java will make learning python easier.
  • Basic understanding of loops, arrays, and standard libraries is also beneficial.

Above all, the course has no complicated requirements. Still, students must be patient, attentive, and have a basic understanding of programming fundamentals. In order to be a great programmer, students must also have strong analytical skills.
Click Here to Check Latest Updated – Python Tutorials

Upcoming Training Batches

Yuva Sakthi Academy provides flexible timings to all our students. Here is the Python Training Course Schedule in our branches. If this schedule doesn’t match please let us know. We will try to arrange appropriate timings based on your flexible timings.

Time Days Batch Type Duration (Per Session)
8:00AM - 12:00PM Mon - Sat Weekdays Batch 4Hr - 5:30Hrs
12:00PM - 5:00PM Mon - Sat Weekdays Batch 4Hr - 5:30Hrs
5:00PM - 9:00PM Mon - Sat Weekdays Batch 4Hr - 5:30Hrs

Python Training Course Syllabus

Module 1: An Introduction to Python

  • What can Python do?
  • Why Python?
  • Good to know
  • Python Syntax compared to other programming languages
  • Python Install

Module 2: Beginning Python Basics

  • The print statement
  • Comments
  • Python Data Structures & Data Types
  • String Operations in Python
  • Simple Input & Output
  • Simple Output Formatting
  • Operators in python

Module 3: Python Program Flow

  • Indentation
  • The If statement and its’ related statement
  • An example with if and it’s related statement
  • The while loop
  • The for loop
  • The range statement
  • Break &Continue
  • Assert
  • Examples for looping

Module 4: Functions & Modules

  • Create your own functions
  • Functions Parameters
  • Variable Arguments
  • Scope of a Function
  • Function Documentations
  • Lambda Functions& map
  • n Exercise with functions
  • Create a Module
  • Standard Modules

Module 5: Exceptions Handling

  • Errors
  • Exception handling with try
  • handling Multiple Exceptions
  • Writing your own Exception

Module 6: File Handling

  • File handling Modes
  • Reading Files
  • Writing& Appending to Files
  • Handling File Exceptions
  • The with statement

Module 7: Classes In Python

  • New Style Classes
  • Creating Classes
  • Instance Methods
  • Inheritance
  • Polymorphism
  • Exception Classes & Custom Exceptions

Module 8: Generators and iterators

  • Iterators
  • Generators
  • The Functions any and all
  • With Statement
  • Data Compression

Module 9: Data Structures

  • List Comprehensions
  • Nested List Comprehensions
  • Dictionary Comprehensions
  • Functions
  • Default Parameters
  • Variable Arguments
  • Specialized Sorts

Module 10: Collections

  • namedtuple()
  • deque
  • ChainMap
  • Counter
  • OrderedDict
  • defaultdict
  • UserDict
  • UserList
  • UserString

Module 11: Writing GUIs in Python (Tkinter)

  • Introduction
  • Components and Events
  • An Example GUI
  • The root Component
  • Adding a Button
  • Entry Widgets
  • Text Widgets
  • Check buttons

Module 12: Python SQL Database Access

  • Introduction
  • Installation
  • DB Connection
  • Creating DB Table
  • INSERT, READ, UPDATE, DELETE operations
  • COMMIT & ROLLBACK operation
  • handling Errors

Module 13:Network Programming

  • Introduction
  • A Daytime Server
  • Clients and Servers
  • The Client Program
  • The Server Program

Module 14: Date and Time

  • sleep
  • Program execution time
  • more methods on date/time

Module 15: Few more topics in-detailed

  • Filter
  • Map
  • Reduce
  • Decorators
  • Frozen set
  • Collections

Module 16: Regular Expression

  • Split
  • Working with special characters, date, emails
  • Quantifiers
  • Match and find all
  • character sequence and substitute
  • Search method

Module 17: Threads Essential

  • Class and threads
  • Multi-threading
  • Synchronization
  • Treads Life cycle
  • use cases

Module 18: Accessing API Essential

  • Introduction
  • Facebook Messenger
  • Openweather

Module 19: DJANGO Essential

  • Django essential

Yuva Sakthi Academy Python Training Syllabus will Cover all the fundamental and Advanced Topics in Python 3. This Python Course is Mixed with 90% Practical & 10% Theory Classes for 60+ Hours and also covers 3+ Real-time Projects Explanation using Python Classes, Objects, Loops, Exceptions, Multi-threading and API Designs. You Can download our Python Training Syllabus for your reference. Also you can write an email to yuvasakthiacademycbe@gmail.com for your questions on Fees, Timing, Batches, , and Placements.

Python Training Trainer Profile

A Python trainer at Yuva Sakthi Academy gives total freedom to their students to explore, examine and learn Python courses based on real-time examples.

  • They are certified and working professionals with outstanding grades.
  • They are currently working as Python professionals with the top MNC city.
  • They are well connected with hiring H.R.s in multinational companies.
  • They have practical communication skills to deliver the course with suitable examples in each Python class.
  • They have strong practical and theoretical knowledge of essential Python and Python Machine learning concepts.
  • They have expert-level subject knowledge.
  • Our trainers are continuously updated on industry trends and expectations to include them in the python programming project and corporate training.
  • Our instructors are entirely committed to helping our trainees advance in their jobs and get internship opportunities.
  • They offer all available assistance to participants to achieve their Python language learning objective and prepare them to face their interviews confidently.

Become a Python Certified Professional

Yuva Sakthi Academy is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher’s as well as corporate trainees.

Our at Yuva Sakthi Academy is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this in leading MNC’s of the world. The is only provided after successful completion of our training and practical based projects.

Yuva Sakthi Academy Python Certificate will help you to boost your career. You Can Complete this within 3 months and is designed for 3 levels Beginner, intermediate and expert Levels which is Suitable for Freshers, seniors, and Project Managers respectively. 3000+ Certified Students on Yuva Sakthi Academy Branches.
This Course will teach you Django and GitHub with Practical examples. By completing this you may get offers from top MNC like Google, Amazon, Flipkart, JPMorgan chase, and Infosys.
We recommended this yuva sakthi academys Academy Python Course for you to get a strong programming foundation and better career opportunity in the Software industry. Students can avail of this Course through Classroom or Online Classes.

Key Features of Our Training Institute

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One on One Teaching

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Flexible Timing

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Fully Practical Oriented Classes

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Class Room Training

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Online Training

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Corporate Training

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100 % Placement

Training Courses Reviews

I highly recommend the computer training institute for anyone who wants to improve their computer skills. The instructors are knowledgeable and patient, and they create a comfortable and supportive learning environment. The curriculum is well-structured and covers a range of topics, from basic computer operations to advanced programming languages.

T

TOM DINESH

*Right place to learn new technologies *Self motivated staffs ... *This institution is a good start for emerging youngster who has a passion in their life I have trained for core Java. It was very useful to learn java from basic level. *The trainers are knowledgeable and real time worked employees. I like this institutions be hope with us. You are really reached your goals....

H

Harish Arjunan

One of the best academy to easy learn tally prime from kalpana mam one to one teaching is very excellent ..,coaching is very good and motivational person are here ...great service and excellent teach and friendly staff, good environment and comfortable to learn easily Thank you for wonderfull guide mam. ....

P

Priya Mohan

Frequently Asked Questions

What is Python and why is it popular in programming?

Python is a high-level programming language known for its simplicity, versatility, and readability. It is widely used for web development, scientific computing, data analysis, artificial intelligence, and automation. Python's popularity stems from its clear syntax, extensive standard library, and strong community support, making it accessible for beginners and powerful for advanced users.

Python's interpreted nature, dynamic typing, and object-oriented approach contribute to its ease of use and rapid development capabilities, enabling developers to write concise and expressive code. Its robust ecosystem of libraries and frameworks, such as Django and NumPy, further enhances its utility across diverse domains.

What are the key features of Python programming language?

Python is characterized by several key features:

  • Simple and readable syntax: Python emphasizes readability and reduces the cost of program maintenance.
  • Dynamic typing: Variables are dynamically typed, allowing for flexibility and faster development.
  • Interpreted language: Python code is executed line by line by an interpreter, promoting interactive and exploratory programming.
  • Extensive standard library: Python comes with a large collection of modules and libraries for various tasks, from web development to data analysis.
  • Object-oriented and functional programming support: Python supports both object-oriented and functional programming paradigms, offering versatility in coding styles.
  • Portability: Python code can run on various platforms without modification, enhancing its cross-platform compatibility.

These features make Python suitable for diverse applications, ranging from scripting and automation to complex scientific computations and web development.

What are the common applications of Python programming language?

Python finds applications in various domains, including:

  • Web development: Frameworks like Django and Flask facilitate building scalable web applications.
  • Data analysis and visualization: Libraries such as Pandas, NumPy, and Matplotlib enable data manipulation, analysis, and visualization.
  • Artificial intelligence and machine learning: Python is widely used for developing AI models and algorithms using libraries like TensorFlow, PyTorch, and scikit-learn.
  • Automation and scripting: Python's simplicity and versatility make it ideal for automating repetitive tasks and scripting.
  • Scientific computing: Python supports scientific computations and simulations with libraries like SciPy and SymPy.
  • Game development: Python is used for game development, leveraging libraries such as Pygame.

Its broad applicability across different fields makes Python a preferred choice for developers, data scientists, and researchers alike.

How does Python support object-oriented programming (OOP)?

Python supports object-oriented programming (OOP) through:

  • Classes and objects: Python allows defining classes to create objects with attributes and methods.
  • Encapsulation: Classes encapsulate data and methods, controlling access to object attributes.
  • Inheritance: Python supports inheritance, enabling the creation of new classes based on existing ones.
  • Polymorphism: Python supports polymorphism, allowing methods to behave differently based on the object type.
  • Abstraction: Abstract classes and interfaces in Python promote abstraction, focusing on essential attributes and behaviors.

Python's support for OOP facilitates modular and reusable code, enhancing code organization, maintainability, and scalability.

What are Python decorators and how do they work?

Python decorators are functions that modify or enhance the behavior of other functions or methods. They allow you to add functionality to existing functions dynamically without modifying their source code.

Decorators in Python are implemented using the "@" symbol followed by the decorator function name. They take a function as an argument, modify its behavior, and return a new function or callable object.

Common uses of decorators include adding logging, caching, authentication, or validation to functions, enabling code reuse and separation of concerns.

How does Python handle memory management and garbage collection?

Python uses automatic memory management and garbage collection to manage memory allocation and deallocation. It employs a private heap containing all Python objects and data structures, with built-in mechanisms to manage memory efficiently.

The Python memory manager allocates memory for new objects and deallocates memory for objects no longer in use through a process called garbage collection. Python's garbage collector periodically reclaims memory occupied by objects with no remaining references, freeing resources and preventing memory leaks.

Python's approach to memory management simplifies memory allocation for developers, reducing the risk of memory-related errors and enhancing application stability and performance.

What are Python virtual environments and why are they used?

Python virtual environments are isolated environments that allow developers to manage project dependencies and package versions independently of the system-wide Python installation. They are used to create isolated environments with specific Python and package configurations for each project, ensuring consistency and preventing conflicts between different projects.

Virtual environments in Python can be created using tools like virtualenv or the built-in venv module. They provide a sandboxed environment where packages can be installed locally without affecting the global Python installation, facilitating dependency management, testing, and deployment across different projects.

By using virtual environments, developers can maintain project-specific dependencies, experiment with different package versions, and ensure reproducibility and portability of Python applications across different platforms.

How does Python support asynchronous programming?

Python supports asynchronous programming through its asyncio module, which provides tools and libraries for writing concurrent code using the async/await syntax. Asynchronous programming allows Python programs to perform non-blocking I/O operations and handle concurrent tasks efficiently.

Using asyncio, developers can define asynchronous functions that can pause execution (await) while waiting for I/O operations to complete, allowing other tasks to proceed concurrently. This approach improves performance and responsiveness in applications that require handling multiple tasks simultaneously, such as web servers, networking applications, and data processing pipelines.

Python's support for asynchronous programming enables developers to write efficient, scalable, and responsive code, leveraging non-blocking operations to maximize resource utilization and improve overall application performance.

What are Python iterators and generators?

Python iterators and generators are features that facilitate efficient iteration and lazy evaluation of sequences of data:

  • Iterators: Iterators are objects that implement the iterator protocol, allowing iteration over a sequence of elements. They maintain state and provide methods like __iter__() and __next__() to retrieve elements one by one.
  • Generators: Generators are functions or expressions that use the yield keyword to produce a sequence of values lazily. Unlike regular functions that return a single value, generators yield values one at a time, preserving their state between calls.

Python's iterators and generators enhance memory efficiency and performance by generating values on-the-fly and supporting iterative processing of large datasets. They are widely used in Python programming for tasks like data streaming, file processing, and memory-efficient iteration over collections.

How can Python be used for web scraping?

Python is widely used for web scraping, the process of extracting data from websites:

  • Requests and Beautiful Soup: Python libraries like Requests and Beautiful Soup simplify sending HTTP requests and parsing HTML or XML content, respectively.
  • Scrapy framework: Scrapy is a powerful framework for building web crawlers and scraping large amounts of data from websites.
  • Selenium: Selenium is used for automating web browsers, enabling interaction with dynamically generated content and JavaScript-heavy websites.
  • APIs: Python's requests library facilitates accessing web APIs to retrieve structured data in JSON or XML format.

Python's versatility and rich ecosystem of libraries make it an ideal choice for web scraping applications, enabling developers to extract, transform, and analyze data from the web efficiently and effectively.

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Learn Python Training from Python Experts. Build your Career in Python Programming. It’s a Right time to learn Python Course from Basic to Advanced level with Placements. Python Programmers are some of the highest Paid in the industry, with average Salaries over $100000. This Python Training will help you to get a valid lifetime industry-recognized Credential and become a best Python Developer!
We are the Best Python Training Institute with a bunch of Python Courses with quality Updated Course Content with Hands-on Python. yuva sakthi academy Technologies providing Python Training with expert guidance and fully hands-on classes. Python is a high-level programming language sometimes it also denoted as the scripting language as it provides rapid & fast development and easy of use. Our Python Training package also includes job placement assistance, which is really a bonus point for students. We also help students in getting a good job by conducting interviews of ours with good IT companies and MNCs too.
Python training upgrades your coding skills. As python is flexible and easy to learn the language, it makes you more productive. You also get good understanding of data libraries like pandas, NumPy and matplotlib. Python provides the fine level of control over coding, as a programmer can easily code a one a line to a complicated code with equal ease.

What Skills will you learn in Python Training?

Below are the Python implementations that we see in the coding world.

Python Training Offered by Yuva Sakthi Academy with & Placement Support. World Class infra and experienced Trainers will make you understand how to use python coding efficiently for Finance, Accounts and data analysis. Get Practical Knowledge on writing python Syntax for readability and faster websites.
Yuva Sakthi Academy Beginner, intermediate and expert level Course options will help Students to take Python Course according to their requirement. And the Course Duration is 2 weeks, 4 weeks and 6 weeks respectively. Register for Best Python Training Courses with guidance at Low Cost.
In python, everything is objected so it can also be named as “object-oriented scripting language”. Get real-time training with Python Certified Experts. Enroll now to become Python Developer and Professional.

Why should you go for Python Training?

Python is facile for rookie programmers as well. It helps newbies to easily code the programs with practice and patience.

How will Python Training help in your career?

Python’s easy and diverse nature made a place in the top most popular programming language of 2018. Making Python a good career choice for an apprentice.

Do you need programming for Python Career?

Learning python as such does not require any deep knowledge of programming. But if you have prior experience of coding and programming than it is a plus point for the learner.

Important Features

Python® can communicate to other parts of the application using the variety of component integration. For an example using CPython component, python can call C/C++ libraries and can be called from C/C++ programs. It will also have support for accessing java objects, .NET objects through Jython, IronPython respectively.
As in Python, everything is the object, every operation seems to be easier than other scripting languages. Python® codes are equal to one third and one-fifth of C/C++ and Java programs in term of a number of lines. It has powerful memory management to reuse garbage collections.
Python supports different types of objects like numbers, string, tuples, list, the dictionary to store data and do operations on stored data. It has common methods and operations on sequence objects ( list, string, tuples ) like indexing, slicing, extended slicing.

Python Career Opportunities

Apart from Ruby, after Swift, Python developers are more in demand and thus earns large packages. Python is also in use for cyber security. The super-intelligent coding structure provides different ways for supporting modern high-end technologies.

Advanced Python Training

Python Introduction

Python is a deciphered, object-situated, highly standardized programming dialect with dynamic semantics. Its top-level worked in information structures, in combination with dynamic composing and dynamic authoritative; make it exceptionally appealing for Quick Application Advancement. It is ideal for use as a scripting or glue dialect to interface existing segments together. Python’s basic, simple to learn sentence structure underscores comprehensibility and accordingly lessens the expense of program support. Python underpins modules and packaging, which empowers program measured quality and code reuse. The Python mediator and the broad standard library are accessible in source or binary shape without charge for every single significant platform. They can be uninhibitedly available for distribution.

Python for Predictive Data Analytics

This Python Course will help you to get In-Depth Knowledge on Predictive Analysis using Machine Learning Algorithms. We Train you on dissecting, demonstrating, and imagining different sorts of information, with an emphasis on time series Concepts with Best Trainers. Learning Python in the Python Training Course will help you to understand dissecting, demonstrating, and imagining different sorts of information, with an emphasis on time series. You will have had involvement with utilizing Python for different scripting, information control and plotting errands with information in an assortment of configurations, including CSV, Excel spreadsheets, SQL databases, JSON, and Programming interface endpoints. You will have an incredible experience in using assets for streamlining, relapse, grouping, and bunching, invaluable handy settings on an assortment of informational collections. You will comprehend the style and intensity of the Python language and its incredible ecosystem packages for data analysis, and you will be very much set to keep adapting more as you use it every day.

Python for Finance

Learn how to use Python Concepts for your Finance & Account-Related automation and Report Generation Tasks from the Best Institutes Offering Python Training Courses. The objective of the course is to give a wide comprehension of the standards and strategies of fund applications using Python coding in Jupyter note pads with natural output that one can imagine. These targets will be accomplished by an intuitive exchanging amusement, solving assignments, and examining hypotheses. This course is customized keeping in mind the requirements of different banking institutions as well as other corporate customers. These arrangements of projects cover all parts of budgetary training and are appropriate for a wide scope of graduates from fresh alumni to senior officials. Learning this course will enable to apply financial models and formulae appropriately.

Python for Scientists & Engineers

This Recommended Python Course will teach you on Data Science and Machine Learning Concepts to understand Real-Time Problems of Machine Learning & Data Scientist roles and responsibilities with Test Cases. Before the finish of the course, you will have all the learning you have to utilize Python to take care of issues including the utilization of different logical informational collections. You will recognize what’s accessible with Python, how to structure your code, and how to utilize Python’s information structures capability to compose perfect, productive code. You will have had involvement with utilizing Python for different scripting and information control undertakings, including effectively making wonderful plots, performing Monte Carlo re-enactments and picture examination, breaking down time-arrangement information, developing measurable models, and scaling up to taking care of the medium-sized (sub-terabyte) information.

Python for Geospatial Analysis

Learn how to use Python Programming for Geospatial analysis to display Proper Locations and Maps to User by Collecting Large Data from Various Source. Before the finish of the course, you will have all the learning you have to begin solving a wide scope of explanatory issues in Python for logical and geospatial applications. You will figure out how to dissect raster and vector geospatial datasets; perform Monte Carlo simulating; develop relapses and other measurable models; perform streamlining; break down pictures and time-arrangement; and make delightful factual graphs and maps. You will figure out how to function with and dissect general, logical, and geospatial datasets in numerous helpful organizations, including CSV, Exceed expectations, SQL, shapefiles, KML, and spatial arrangements (raster and vector).
You will likewise find out about the intensity of the Python dialect and the expansiveness of its astounding environment of incredible packages.

Python for Network & Systems Engineering

Enroll for Python Classes to learn Python Scripts for networking and Administrator Tasks. Train on how to write cron jobs Python Script windows, Linux, Ubuntu, and Kubernetes. Before the finish of the course, you will have all the learning you have to compose and interface with Python code for an assortment of purposes, with a specific spotlight on controlling machines, mechanizing framework forms, and connecting with APIs. You will comprehend the style and intensity of Python and have had encounter utilizing a few imperative standard and outsider libraries, including for parsing content and log records, coordinating strings with ordinary articulations, and scripting errands through SSH associations. You will likewise have found out about expending and making web APIs and some accepted procedures in Python for composing viable code.
This course is intended for system engineers that need to figure out how to Program in Python to expand profitability diminish mistakes and increment their attractiveness in industry. While this course is planned for Network Specialists or Hopeful System Designers to give them next dimension abilities to remain focused. Anybody can profit by this course as PC Networks and Python are critical in the advanced world and all means to interface Python the Host PC and Switches in GNS3 are clarified.

Python for Web Development

This Best Python Courses will help you to understand on Creating Web development using Django Framework with Responsive and Efficient Manner. Python offers wide dimensions when it comes to web development. It offers numerous structures from which to browse including bottle.py, Jar, CherryPy, Pyramid, Django, and web2py. These structures have been utilized to control a portion of the world’s most mainstream websites, for example, Spotify, Mozilla, Reddit, the Washington Post, and Yelp. You can learn strategies used in the improvement of Python Web applications and spotlight on the best way to program true answers for issues that customary individuals really need to fathom.

What you will learn:

Python for Programmers:

If you wish to learn a Programming Language in the current Scenario to start your career in IT Field then Choose Python Programming for a better future. We Offer the Python Training for College Students, Working Professionals, and Non-IT Professionals at very low fees from 2010. Before the finish of the course, you will have a decent comprehension of the main Python dialect, Python’s incredible implicit information types, and the essentials of article situated programming in Python. You can gain experience utilizing expressive Python colloquialisms, see how modules and packs work, Python’s coding style rules, and how to compose unit tests for Python code. You will likewise think about how to peruse, compose, picture, and perform an amazing spellbinding examination on datasets (counting CSV, Exceed expectations, and SQL) and how to utilize Python to devour the web APIs and to make your very own web APIs. You will likewise comprehend the polish and intensity of the dialect and you will be very much put to keep adapting more as you use it every day.

Python Developer Sample Resume

Sample Resume 1

Name: XXXXX
Summary:
Nearly 3 years of total IT experience and currently working as a python developer at Company Name, I have created and implemented a Python-based web application on Django. Deep expertise in Django Framework.
Extensive Experience in working with Python frameworks such as NumPy, Pandas, Django, and SciKit Learn.
Work Experience:
Company:
Current Location:
Duration:
Designation:
Total Work Experience:
Project Name:
Project Highlights:

  • E-Commerce System and Recommender System:
  • E-Commerce System based on the Security API and Authentication API.
  • This system is used to post the Product and order the Product, Tracking the Order, cancellation, Authentication and Recommender System
  • Real Estate Application
  • Grant Permission for Realtors to Post the Details
  • Users can access the details and chat with realtors
  • Implemented chatbot
  • Dashboard for Realtors and Users

Key Responsibilities Handled:

  • Extensively worked on API handling on-Django.
  • Extensively worked on database schema conversion tool for converting source database schema which will be compatible with the target database.
  • Successfully migrate databases such as oracle, server, dynamo DB to Django Application.
  • Worked on a different scenario such as a retrieving from API, Posting to Database, writing database models in Python.
  • Good experience of Pandas and Retrieving from Pandas
  • Web-based development experience utilizing Python
  • Understand security best practices, policies and standards to design highly secure on Payment Integration, Authentication
  • Support the setup, configuration, and maintenance of an SQL Server
  • Architect’s and Implemented AWS Cloud cost-effective solution for Non-Production environments such as Development, Testing, etc.
  • Solid experience in Perl and Python, with OO Experience (key)
  • A strong understanding of common web development techniques, e.g. REST, JSON, etc
  • Appreciation of the development of a secure scalable system
  • Development experience of event-driven asynchronous systems

Competencies Include:

  • Experience of working and delivering in extreme stressed and demanding conditions
  • Knowledge of basic Linux commands.

Technical Expertise:

  • Python Scripting
  • SQL Servers
  • Frameworks like Django, Tkinter, and Pandas

Tools & Other Software:

  • Database – MySQL

Educational Qualifications:
Degree/Certificate Year Institute/School, City %/CGPA
B.E. in Electronics &Telecommunication 2011-2015 Satyabhama University, coimbatore. 7.2
s and Training Completed
Python Basic Foundation – From Yuva Sakthi Academy
Achievements & Co-Curricular Activities:

  • Received Spot Recognition Award several times for the stretch and dedication I possessed.
  • Quality spoc for the team and handled several PQI and SSAE audit.
  • Part of Syntel cricket and won various corporate level tournaments.

Declaration:
I hereby declare that the information furnished above is true and correct to the best of my knowledge and belief.

Sample Resume 2

Profile:
I am a Project Engineer with 5 years and 9 months of experience in Wintel & Active Directory administration. I pursued B.E – Electronics and Instrumentation Engineering. Currently pursuing MBA-Finance, Anna University. Also, I am equipped with DELF- A1 – French language . I am looking forward to utilizing skills in a challenging environment to enhance my career and personal growth.
Work Experience:
Developer:  Company Name
Years of experience:
Key Responsibilities Included:

  • Developing and Managing the Application
  • Implementing, configuring, and troubleshooting of Virtual Machines.
  • Responsible for programming, developing and documenting interactive Web applications and automation procedures
  • Creating, maintaining and updating various Web applications created primarily in Python
  • Strong Python systems programming experience
  • Strong OO design and programming experience
  • Experience with Git, Node.js, Python, Java, HTML5, CSS3, Shockwave Flash, or Apache Tomcat
  • Experience with NoSQL, and MongoDB
  • Experience with Open Source visual analytics platforms, including Lyra, Map Story, or Flex maps
  • Experience with trust models for data or expert opinions
  • Experience with deploying applications in a Cloud environment
  • Experience with designing and developing automated analytic software, techniques, and algorithms

Python Senior Developer
Company Name:
Work During: 2014 – 2016
Key Responsibilities as Python Developers included

  • Analyzing and Processing the Data
  • Administration of Dev and test environment.
  • Daily sales report monitoring.
  • SaaS design / RESTful API integration
  • Building applications in scripting languages in PYTHON
  • Understanding relational databases/data models

Key responsibilities as Python Automation Developer included:

  • Working knowledge of Memcache, Redis, and Varnish
  • Experience with Grunt, Bower, and similar package management tools
  • Experience with frontend unit testing via Mocha, Chai, or Jasmine and Karma
  • Expertise in Git
  • Experience working within AWS, specifically EC2, RDS, SQS, SNS, S3, and ElasticCache
  • Working knowledge of operations, command-line tools, diagnostics and debuggers
  • Experience leading development teams using Agile methodologies
  • Familiarity with vagrant, docker, and/or dies
  • Familiarity with continuous integration. Specifically, Travis CI and/or Jenkins
  • Familiarity with different design patterns
  • Experience building and consuming RESTful services
  • A service-oriented approach to application development
  • Knowledge of unit, functional, and load testing software and best practices
  • Adaptability and the ability to evaluate the right tools for the job
  • A desire to learn and a desire to share knowledge
  • A meticulous and passionate approach to performance optimization and debugging
  • Marionette experience
  • Gitflow experience
  • Experience with Ad and Reporting library integration

Python Developer
Company Name:
Work During: 2013 – 2014
Key responsibilities included:

  • 5+ years of Python scripting experience
  • Business process engineering experience
  • Experience with an object-oriented database
  • Experience doing test-driven development, functional testing and continuous integration

Qualifications
DELF – A1 – French Language.
Alliance Française of Madras – 2016
B.E- Electronics and Instrumentation – Sri Sai Ram Engineering College (2008 – 2012)
GPA: 7.5
MBA (Finance) –  Anna University (Pursuing) Nov 2014- Present
Intensive English Language Course – British Council (Pursuing) Nov-2018
Planning to appear for IELTS by January 2019
Skills & Recognition
Knowledge in AD infrastructure (Directory Replication, group policy, security, schema changes, etc.)

  • Created basics scripts for health checks
  • System Improvement Plan (SIP)
  • Systematic Operating Procedure (SOP)
  • French A1 Certified
  • Team Lead
  • Lean (Basic)
  • Best Performer award for incident reduction and multiple team handling
  • Received client appreciation for implementing emergency changes on -time
  • Received Outstanding and Excellent contribution rating in previous appraisals

References
1. Tushar Punekar
Company: Wipro Technologies, UK
Designation: Senior Project Manager
Telephone: +44-7448200963
2. Mohammed Asif
Company: Wipro Technologies, UK
Designation: Project Manager
Telephone: +44-7723483823

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