Python With Techctice:

Python is a general-purpose, versatile, and powerful programming language. It’s a great first language because it’s concise and easy to read. Whatever you want to do, Python can do it. From web development to machine learning to data science, Python is the language for you.

Course Description:

Python is a general-purpose programming language that is becoming ever more popular for data science. Companies worldwide are using Python to harvest insights from their data and gain a competitive edge. Unlike other Python tutorials, this course focuses on Python specifically for data science. In our Introduction to Python course, you’ll learn about powerful ways to store and manipulate data, and helpful data science tools to begin conducting your own analyses.

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Who is a Python Developer?

Though there are many jobs in tech that use Python broadly — including Software Engineer, Web Developer, Data Scientist, and Business Analyst — a dedicated Python Developer will be projected to understand the language at a higher level and be capable of using Python to accomplish any number of tasks, including but not limited to data collection and analytics, database creation, web development, and design, scripting, and automation.

A Python Developer often works in close partnership with data collection and analytics to create useful answers to questions and provide valued insight.

Python is being used in web development, machine learning, AI, scientific computing, and academic research. Its fame can be credited to the rising data science community embracing artificial intelligence and machine learning. Industries like education, healthcare, and finance are using machine-learning applications to innovate their organizations.

Python is also widely used by companies including Netflix, Google, YouTube, Instagram, Facebook, Reddit, and more. Specifically, Spotify uses Python within its back-end services, capturing user data to provide accurate recommendations and playlists. Dropbox, meanwhile, uses Python scripts to create its native applications on each platform (Windows, macOS, Linux, iOS, Android, etc.)

Python Developer Job Description:

Have your own GitHub repository built, to function more as your resume
Build code that is easily readable, properly documented, and follows key coding standards
Read good books on the technology and study peer code that is nicely developed
Increase your technology skillset by knowing more about Python libraries
Have good knowhow of AI and ML since they go together with Python
Take up good freelancing projects with Python, to help build a good experience
Contribute to the open source community on platforms like GitHub
Have your resume and profile updated to the latest on important platforms
Follow online tutorials to help you develop your coding skills

Master Python frameworks, ORM libraries, front-end technologies, and version control

What Tools Do Python Developers Use?

Since Python is so versatile and has so many applications, the best tools for Python Developers to use can be divided into several categories:

Data Science Python Tools

Scikit-Learn is an open-source tool that Python Developers, Machine Learning Engineers, and Data Scientists all swear by for data mining and data analysis. Written in Python, Keras is a high-level neural network library that is easy to use and well-suited to machine learning and deep learning. Theano is a Python library useful for evaluating math computations that integrate tightly with NumPy. And SciPy is used for technical and scientific computing.

Automation Testing Python Tools

Selenium is beloved for good reason, as it allows a Python Developer to write scripts in many other languages, including C#, PHP, Perl, Ruby, and Java. Selenium also allows you to perform tests from any browser in all three major operating systems. Robot Framework is also open-source, a generic test automation framework designed for acceptance testing that works not just for web apps, but also for iOS and Android test automation. Like Robot Framework, TestComplete is an automation testing software, but it requires a commercial license.

Web Scraping Python Tools

LXML is a feature-rich, Python-based tool for C libraries. Beautiful Soup is a time-saving Python library that is used for projects like screen-scraping. And Scrapy is an open-source framework written in Python that crawls web pages and extracts data from them.

What Skills Does A Python Developer Need?

Though the specific responsibilities will vary, these are some of the basic skills any will need to become a Python Developer:

Python Skills

A Python Developer needs to have a mastery of Python that extends beyond other colleagues in data science, web development, or other fields who might also be expected to have some familiarity with it. A Python Developer must learn object-oriented programming, basic Python syntax, semantics, primitive data types, and arithmetic operators.

Python Libraries

One of the major selling points of Python is the massive range of libraries available. A Python Developer should be well-versed in what’s out there and use available libraries to their fullest advantage. Begin by exploring the Python Package Index (PyPi) and becoming familiar with common libraries like Pandas and NumPy.

Python Frameworks

A Python Developer needs to be knowledgeable about the available frameworks that can be massively helpful depending on the task, including Django, Flask, CherryPy, web2py, TurboGears, and Grok.

ORM Libraries

Object Relational Mapper (ORM) libraries – examples include SQLAlchemy or Django ORM – help a Python Developer write Python code instead of SQL to create and alter data and schemas in their database.

What Skills Should You Put On A Python Resume?

The skills listed on your Python resume should match what is listed in the job description. The most obvious skill you need is expertise in Python, but other technical skills will vary depending on the role e.g. Senior Python Developer. Because you are submitting a tailored resume, your skills section should reflect what the company needs.

Some Of The Skills That Employers May Be Looking For In A Python Developer Include:

Python
Degree in computer science
Problem-solving
Web Frameworks (Django, Flask, Tornado)
Object-relational mapper libraries
Artificial Intelligence and machine learning domains
Deep learning fundamentals
Data science fundamentals
Data protection fundamentals
Testing and debugging
Multi-process architecture
Version control
Git
AWS
Azure
Linux
MySQL
MongoDB
PostgreSQL
Apache
Bash Scripting
OpenCV
Machine learning
Numpy
SciPy
Front-end frameworks (Angular, React, Knockout)
Unit testing
SQL
JavaScript
HTML, CSS
C Python
Shell scripting
Object-oriented programming
Experience with big data
Test-driven development (TDD)

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Professional Product Owner Course :

Build Visions and Inspire Team

Being a professional Product Owner encompasses more than writing requirements or managing a Product Backlog. Product Owners need to have a concrete understanding of all product management aspects, including but not limited to product ownership, that drives value from their products.

Who Should Attend

The Professional Scrum Product Owner course may be interesting to all involved in product development upon the Scrum framework, but has been specifically conceived for those responsible over products from a business and product management perspective and taking up the highly accountable role of Scrum Product Owner. No pre-existing knowledge of Scrum is required to attend.

Course Objectives

Have a clear understanding of the mechanics of Scrum
Know how the Product Owner fits into Scrum
Successfully work with Scrum Teams and stakeholders
Effectively increase business agility

Course Topics

Agile Product Management
Value-Driven Development
Scrum Principles & Empiricism
The Scrum Framework
Product Backlog Management
Release Management

See What It’s Like to Train Live, Online With Us

Inside Our Best-in-Class Curriculum

Designed With a Focus on Real-World Relevance

Concentrate on the most important skills for navigating the product life cycle on the job, from planning and prioritization to validating assumptions and monitoring metrics. GA’s product management advisory board curates the best practices and innovative teaching approaches of our entire expert network to meet evolving employer demands. Its work ensures that students graduate ready to tackle the challenges they’ll face in the field as product managers.

Launch Viable, Market-Tested Products and Features

This product management course is designed for students with a range of professional experiences — including beginners. Updated for 2020, its curriculum includes a renewed focus on Agile best practices, stakeholder management, and working with data. Take a deep dive into essential concepts and tools behind the end-to-end PM process, and get hands-on experience solving real problems for users.

Get a Head Start With Pre-Course Prep Lessons

Once you enroll, we equip you with online, self-paced preparatory lessons to set you up for success. Dive into essential concepts for product managers and gain a common vocabulary to start collaborating with classmates on day one.

Key Features

40 Hrs Instructor-led Training

Flexible Schedule

Focused on real-world examples

24 x 7 Lifetime Support & Access

72 Hrs Project Work & Exercises

Certification and Job Assistance Post Completion

Career Transitions

Manash Ranjan Sahoo

Product Owner

₹ 2,80,023

Product Owner Training

₹ 4,90,023

Ranjan Sahoo

Product Developer

₹ 5,80,023

Senior Product Owner

₹ 6,90,700

Rajesh Mandal

Project Coordinator

₹ 7,80,023

Senior Developer

₹ 9,80,223

Pankaj Sahoo

Software
Engineer

₹ 9,90,099

PWT
Consultant

₹ 12,80,523

Course Benefits

LEARNERS CAREER OUTCOMES

With 10K+ hires,
we’ve placed more grads in high-growth, high-pay tech careers than any other coding bootcamp.

Launch a Fulfilling, Future-Proof Career

Build a Professional-Grade Portfolio

Open Doors with Industry Connections

Get Personalised Job Support at Every Step

SALARY TRENDS

Average Salary Per Year ₹ 8,80,023

Product OwnerProduct Owner ManagerSenior Product Owner Manager

StartingMedianExperienced

Companies Hiring Product Owner Manager

CAREER SERVICES

Dedicated Learning Manager

Interview Preparation

Linkedin Profile & Resume Preparation

Exclusive Job Portal

Project Reviews

Interviews with Top Companies

OUR ALUMNI WORKS AT

And 1,000+ Global Companies

Python Course Content

Module 1 : Introduction

Introduction to Python
Installation of IDE Juypter
Understanding first program/script in Python

Module 2 : Data Handling

- Introduction to data handling
- Datatypes in Python
  - Numbers
  - Strings
  - Lists
  - Tuples
  - Set
  - Dictionary
- Operators in Python
  - Arithmetic
  - Relational
  - Identity
  - Logical
  - Bitwise
  - Operator Precedence
- Expressions
  - Evaluating Expressions
  - Type Casting
- Python Standard Modules
  - Math Module
  - Random Module
  - Statistics Module
- Debugging
  - Errors in Python
  - Debugging using Code Tracing
  - Handling Exceptions

Module 3 : Flow of Control

Introduction
Types of statements in Python
Understanding IF statements in Python
- If
- If else
- If else if
- Nested if statement
Range () function
Iteration/Looping Statements
- For loop
- While loop
- Loop else statement
- Jump statements
  - Break
  - Continue
- Loop else statement
- Nested loops

Module 4: Data Structure in Python

Understanding Strings
Creating and accessing the data structure
- List
- Tuple
- Dictionary

Module 5: Strings and Lists in Detail

String Operations
String slices
String functions and methods
List operations

Joining
Replicating
Slicing
- Working with List
- Append
- Insert
- Updating
- Delete
- Sorting

Module 6: Tuples and Dictionaries in Detail

Working with Dictionaries
- Adding elements
- Updating
- Deleting
- Checking for elements
Dictionaries Functions and Methods
Tuples Operations
Tuple Functions and Methods

Module 7: Introduction to Sorting

Understanding Sorting
Bubble Sort
Insertion Sort

Module 8: Understanding Classes and Objects in Python

Classes in Python
Working with objects
Practical Exercises

Module 9: Diving deep into Python

Functions
Defining Functions
Passing parameters
Return values from functions
Scope of variables

Module 10: Python Libraries and Modules

Introduction
Importing modules
Working with modules
Creating your own python library

Module 11: Python Programs

15+ Python Programs for practice

Module 12: File Handling in Python

Opening, Closing files
Working with files
Working with CSV files
Working with JSON files

Module 13: Python Projects

Hangman Project
Rock, paper, scissors
Alarm clock with GUI
Convert text to speech in python
Mad Libs Generator game

Python With Techctice:

Course Description:

Who is a Python Developer?

Python Developer Job Description:

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Professional Product Owner Course :

Build Visions and Inspire Team

Who Should Attend

Course Objectives

Course Topics

See What It’s Like to Train Live, Online With Us

Inside Our Best-in-Class Curriculum

Designed With a Focus on Real-World Relevance

Key Features

Career Transitions

Course Benefits

With 10K+ hires, we’ve placed more grads in high-growth, high-pay tech careers than any other coding bootcamp.

Average Salary Per Year ₹ 8,80,023

And 1,000+ Global Companies

Python Course Content

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With 10K+ hires,
we’ve placed more grads in high-growth, high-pay tech careers than any other coding bootcamp.