Python Training in Taxes
With
100% Placement Assistance
Python Training in Taxes Batch Details
| Contact Us | +91 958 123 9696 |
| Python Course Duration | 2 Months |
| Python Timings | Monday to Friday (Morning to Evening) |
| Next Batch Date | 25th March 2023 AT 8:00 AM IST |
| Training Modes | Classroom [HYDERABAD] / Online |
| Python Server Access | 2 Months / Free |
Key Points Of Python Programming Classes in Taxes
- Free Python Course demo class.
- 350+ students trained and 150+ recruited in the last 3 years.
- Certified Python Course Trainers
- Experienced Faculty From NIT, IIT
- Python Beginner + Python Advanced level training
- Affordable Python course fees
- Live Python sessions
- Lifetime eLearning access
- Python Guaranteed placement assistance.
- Python course One-on-one doubt clearing
- Customized Python course curriculum
- Free Installation of Python
- Python Django framework
- Python 25+ Case Studies & Assignments
- The course is thoughtfully structured and crafted by experienced Python industry professionals.
- Python Live project + case studies
- Every Python class will be followed by 100% practical assignments.
- Python Job Support
- Practical Python Course exposure.
- Python 45+ Hours of Online Live Instructor-Led Classes
- MLN Academy provides Python Training a comprehensive project-based learning experience that prepares you for success.
- A dedicated WhatsApp group with the trainer and MyLearnNest Admin ensures seamless communication and support 24/7.
Python Training Taxes Curriculum
=>: Python Basics
• What is Python
• Why Python?
• History of python
• Applications of Python
• Features of Python
• Advantages of Python
• Versions of Python
• Installation of Python
• Flavors of Python
• Comparision b/w various programming languages C, Java, and Python
=>: Python Operations
• Python Modes of Execution
• Interactive mode of Execution
• Batch mode of Execution
• Python Editors and IDEs
• Python Data Types
• Python Constants
• Python Variables
• Comments in python
• Output Print(),function
• Input() Function :Accepting input
• Type Conversion
• Type(),Id() Functions
• Comments in Python
• Escape Sequences in Python
• Strings in Python
• String indices and slicing
=>: Operators in python
• Arithmetic Operators
• Comparision Operators
• Logical Operators
• Assignment Operators
• Short Hand Assignment Operators
• Bitwise Operators
• Membership Operators
• Identity Operators
=>: Python IDE’s
• Pycharm IDE Installation
• Working with Pycharm
• Pycharm components
• Installing Anaconda
• What is Conda?
• Anaconda Prompt
• Anaconda Navigator
• Jupyter Notebook
• Jupyter Features
• Spyder IDE
• Spyder Features
• Conda and PIP
=>. Flow Control statements
• Block/clause
• Indentation in Python
• Conditional Statements
• if stmt
• if…else statement
• if…elif…statement
=>. Looping Statements
• while loop,
• while … else,
• for loop
• Range() in for loop
• Nested for loop
• Break statement
• Continue statement
• Pass statement
=>. Strings in Python
• Creating Strings
• String indexing
• String slicing
• String Concatenation
• String Comparision
• String splitting and joining
• Finding Sub Strings
• String Case Change
• Split strings
• String methods
=>. Collections in Python
• Introduction
• Lists
• Tuples
• Sets
• Dictionaries
• Operations on collections
• Functions for collections
• Methods of collection
• Nested collections
• Differences b/w list tuple and set and Dictionary
=>. Python Lists
• List properties
• List Creation
• List indexing and slicing
• List Operations
• Nested Lists
• List modification
• List insertion and deletion
• List Methods
=>. Python Tuples
• Tuple properties
• Tuple Creation
• Tuple indexing and slicing
• Tuple Operations
• Nested Tuples
• Tuple Methods
• Differences b/w List and Tuple
=>. Python Sets
• Set properties
• Set Creation
• Set Operations
• Set Mathematical Operations
• Set Methods
• Insertion and Deletion operation
=>. Python Dictionary
• Dictionary properties
• Dictionary Creation
• Dictionary Operations
• Dictionary Methods
• Insertion and Deletion of elements
• Differences b/w list tuple and set and Dictionary
=>: Python Basics
• What is Python
• Why Python?
• History of python
• Applications of Python
• Features of Python
• Advantages of Python
• Versions of Python
• Installation of Python
• Flavors of Python
• Comparision b/w various programming languages C, Java, and Python
=>: Python Operations
• Python Modes of Execution
• Interactive mode of Execution
• Batch mode of Execution
• Python Editors and IDEs
• Python Data Types
• Python Constants
• Python Variables
• Comments in python
• Output Print(),function
• Input() Function :Accepting input
• Type Conversion
• Type(),Id() Functions
• Comments in Python
• Escape Sequences in Python
• Strings in Python
• String indices and slicing
=>: Operators in python
• Arithmetic Operators
• Comparision Operators
• Logical Operators
• Assignment Operators
• Short Hand Assignment Operators
• Bitwise Operators
• Membership Operators
• Identity Operators
=>: Python IDE’s
• Pycharm IDE Installation
• Working with Pycharm
• Pycharm components
• Installing Anaconda
• What is Conda?
• Anaconda Prompt
• Anaconda Navigator
• Jupyter Notebook
• Jupyter Features
• Spyder IDE
• Spyder Features
• Conda and PIP
=>. Flow Control statements
• Block/clause
• Indentation in Python
• Conditional Statements
• if stmt
• if…else statement
• if…elif…statement
=>. Looping Statements
• while loop,
• while … else,
• for loop
• Range() in for loop
• Nested for loop
• Break statement
• Continue statement
• Pass statement
=>. Strings in Python
• Creating Strings
• String indexing
• String slicing
• String Concatenation
• String Comparision
• String splitting and joining
• Finding Sub Strings
• String Case Change
• Split strings
• String methods
=>. Collections in Python
• Introduction
• Lists
• Tuples
• Sets
• Dictionaries
• Operations on collections
• Functions for collections
• Methods of collection
• Nested collections
• Differences b/w list tuple and set and Dictionary
=>. Python Lists
• List properties
• List Creation
• List indexing and slicing
• List Operations
• Nested Lists
• List modification
• List insertion and deletion
• List Methods
=>. Python Tuples
• Tuple properties
• Tuple Creation
• Tuple indexing and slicing
• Tuple Operations
• Nested Tuples
• Tuple Methods
• Differences b/w List and Tuple
=>. Python Sets
• Set properties
• Set Creation
• Set Operations
• Set Mathematical Operations
• Set Methods
• Insertion and Deletion operation
=>. Python Dictionary
• Dictionary properties
• Dictionary Creation
• Dictionary Operations
• Dictionary Methods
• Insertion and Deletion of elements
• Differences b/w list tuple and set and Dictionary. Functions in Python
• Defining a function
• Calling a function
• Properties of Function
• Examples of Functions
• Categories of Functions
• Argument types
• default arguments
• non-default arguments
• keyword arguments
• non keyword arguments
• Variable Length Arguments
• Variables scope
• Call by value and Call by Reference
• Passing collections to function
• Local and Global variables
• Recursive Function
• Boolean Function
• Passing functions to function
• Anonymous or Lamda function
• Filter() and map() functions
=>: Python Basics
• What is Python
• Why Python?
• History of python
• Applications of Python
• Features of Python
• Advantages of Python
• Versions of Python
• Installation of Python
• Flavors of Python
• Comparision b/w various programming languages C, Java, and Python
=>: Python Operations
• Python Modes of Execution
• Interactive mode of Execution
• Batch mode of Execution
• Python Editors and IDEs
• Python Data Types
• Python Constants
• Python Variables
• Comments in python
• Output Print(),function
• Input() Function :Accepting input
• Type Conversion
• Type(),Id() Functions
• Comments in Python
• Escape Sequences in Python
• Strings in Python
• String indices and slicing
=>: Operators in python
• Arithmetic Operators
• Comparision Operators
• Logical Operators
• Assignment Operators
• Short Hand Assignment Operators
• Bitwise Operators
• Membership Operators
• Identity Operators
=>: Python IDE’s
• Pycharm IDE Installation
• Working with Pycharm
• Pycharm components
• Installing Anaconda
• What is Conda?
• Anaconda Prompt
• Anaconda Navigator
• Jupyter Notebook
• Jupyter Features
• Spyder IDE
• Spyder Features
• Conda and PIP
=>. Flow Control statements
• Block/clause
• Indentation in Python
• Conditional Statements
• if stmt
• if…else statement
• if…elif…statement
=>. Looping Statements
• while loop,
• while … else,
• for loop
• Range() in for loop
• Nested for loop
• Break statement
• Continue statement
• Pass statement
=>. Strings in Python
• Creating Strings
• String indexing
• String slicing
• String Concatenation
• String Comparision
• String splitting and joining
• Finding Sub Strings
• String Case Change
• Split strings
• String methods
=>. Collections in Python
• Introduction
• Lists
• Tuples
• Sets
• Dictionaries
• Operations on collections
• Functions for collections
• Methods of collection
• Nested collections
• Differences b/w list tuple and set and Dictionary
=>. Python Lists
• List properties
• List Creation
• List indexing and slicing
• List Operations
• Nested Lists
• List modification
• List insertion and deletion
• List Methods
=>. Python Tuples
• Tuple properties
• Tuple Creation
• Tuple indexing and slicing
• Tuple Operations
• Nested Tuples
• Tuple Methods
• Differences b/w List and Tuple
=>. Python Sets
• Set properties
• Set Creation
• Set Operations
• Set Mathematical Operations
• Set Methods
• Insertion and Deletion operation
=>. Python Dictionary
• Dictionary properties
• Dictionary Creation
• Dictionary Operations
• Dictionary Methods
• Insertion and Deletion of elements
• Differences b/w list tuple and set and Dictionary. Modules in Python
• What is a module?
• Different types of module
• Creating user defined module
• Setting path
• The import statement
• Normal Import
• From … Import
• Module Aliases
• Dir function
• Working with Standard modules -Math, Random, Date time, and os modules
=>: Python Basics
• What is Python
• Why Python?
• History of python
• Applications of Python
• Features of Python
• Advantages of Python
• Versions of Python
• Installation of Python
• Flavors of Python
• Comparision b/w various programming languages C, Java, and Python
=>: Python Operations
• Python Modes of Execution
• Interactive mode of Execution
• Batch mode of Execution
• Python Editors and IDEs
• Python Data Types
• Python Constants
• Python Variables
• Comments in python
• Output Print(),function
• Input() Function :Accepting input
• Type Conversion
• Type(),Id() Functions
• Comments in Python
• Escape Sequences in Python
• Strings in Python
• String indices and slicing
=>: Operators in python
• Arithmetic Operators
• Comparision Operators
• Logical Operators
• Assignment Operators
• Short Hand Assignment Operators
• Bitwise Operators
• Membership Operators
• Identity Operators
=>: Python IDE’s
• Pycharm IDE Installation
• Working with Pycharm
• Pycharm components
• Installing Anaconda
• What is Conda?
• Anaconda Prompt
• Anaconda Navigator
• Jupyter Notebook
• Jupyter Features
• Spyder IDE
• Spyder Features
• Conda and PIP
=>. Flow Control statements
• Block/clause
• Indentation in Python
• Conditional Statements
• if stmt
• if…else statement
• if…elif…statement
=>. Looping Statements
• while loop,
• while … else,
• for loop
• Range() in for loop
• Nested for loop
• Break statement
• Continue statement
• Pass statement
=>. Strings in Python
• Creating Strings
• String indexing
• String slicing
• String Concatenation
• String Comparision
• String splitting and joining
• Finding Sub Strings
• String Case Change
• Split strings
• String methods
=>. Collections in Python
• Introduction
• Lists
• Tuples
• Sets
• Dictionaries
• Operations on collections
• Functions for collections
• Methods of collection
• Nested collections
• Differences b/w list tuple and set and Dictionary
=>. Python Lists
• List properties
• List Creation
• List indexing and slicing
• List Operations
• Nested Lists
• List modification
• List insertion and deletion
• List Methods
=>. Python Tuples
• Tuple properties
• Tuple Creation
• Tuple indexing and slicing
• Tuple Operations
• Nested Tuples
• Tuple Methods
• Differences b/w List and Tuple
=>. Python Sets
• Set properties
• Set Creation
• Set Operations
• Set Mathematical Operations
• Set Methods
• Insertion and Deletion operation
=>. Python Dictionary
• Dictionary properties
• Dictionary Creation
• Dictionary Operations
• Dictionary Methods
• Insertion and Deletion of elements
• Differences b/w list tuple and set and Dictionary. Packages
• Introduction to packages
• Defining packages
• Importing from packages
• –init–.py file
• Defining sub packages
• Importing from sub packages
=>.Errors and Exception Handling
• Types of errors
• Compile-Time Errors
• Run-Time Errors
• What is Exception?
• Need of Exception handling
• Predefined Exceptions
• Try,Except, finally blocks
• Nested blocks
• Handling Multiple Exceptions
• User defined Exceptions
• Raise statement
=>. File Handling
• Introduction
• Types of Files in Python
• Opening a file
• Closing a file
• Writing data to files
• Tell( ) and seek( ) methods
• Reading a data from files
• Appending data to files
• With open stmt
• Various functions
=>. OOPs concepts
• OOPS Features
• Encapsulation
• Abstraction
• Class
• Object
• Static and non static variables
• Defining methods
• Diff b/w functions & methods
• Constructors
• Parameterized Constructors
• Built –in attributes
• Object Reference count
• Destructor
• Garbage Collection
• Inheritance
• Types of Inheritances
• Polymorphism
• Over riding
• Super() statement
=>. Regular Expressions
• What is regular expression? Special characters
• Forming regular expression
• Compiling regular expressions
• Grouping
• Match() function
• Search() function
• Matching vs searching
• Splitting a string
• Replacing text
• validations
=>. Database Access
• Introduction
• Installing Oracle database
• Creating database users,
• Installing Oracle Python modules
• Establishing connection with oracle
• Closing database connections
• Cursor object
• Executing SQL queries
• Retrieving data from Database.
• Using bind variables executing SQL queries
• Transaction Management
• Handling errors
=>. Python Date and Time
• How to Use Date & DateTime Class
• Time and date Objects
• Calendar in Python
• The Time Module
• Python Calendar Module
=>. Operating System Module
• Introduction
• getcwd
• listdir
• chdir
• mkdir
• rename file/dir
• remove file/dir
• Os help
• Os operations
=>. Advanced concepts
• Python Iterator
• Python Generator
• Python closure
• Python Decorators
• Web Scraping
• PIP
• Working with CSV files
• Working with XML files
• Working with JSON files
• Debugging
=>. GUI Programming
• Introduction
• Components and events
• Root window
• Fonts and colors
• Buttons,checkbox
• Label widget
• Message widget
• Text widget
• image
=>. Data analytics
• Introduction
• pandas module
• Numpy module
• Matplotlib module
• Working Examples
=>. Excel workbook
• Installing and working with Xlsx writer
• Creating Excel Work book
• Inserting into excel sheet
• Insetting data into multiple excel sheets
• Creating headers
• Installing and working with xlrd module
• Reading a specific cell or row or column
• Reading specific rows and columns
HTML
• Introduction to WEB
• HTML Basic Tags
• HTML Formatting Tags
• HTML Lists
• HTML Tables
• HTML Images
• HTML Anchors
• HTML Forms
• HTML Input Elements
• HTML Form Attributes
• HTML Frames
• HTML GET/POST
• HTML5 Drag/Drop
• HTML Canvas
• HTML Multimedia
CSS :
• CSS Basics
• CSS Introduction
• CSS Syntaxes
• CSS Styling,
• Styling Backgrounds
• Styling Fonts,
• Styling Links,
• Styling Lists
• Styling Tables
• CSS Borders
• CSS Selectors
• CSS Fonts
• CSS Text Effects
• CSS Backgrounds
• CSS keyframes Rule
• CSS Multiple Columns
• CSS 2D Transforms
• CSS 3D Transforms
• CSS Transitions
• CSS Animations
• CSS User Interface
Bootstrap:
• Bootstrap Introduction
• Bootstrap Images
• Bootstrap Tables
• Bootstrap Forms
• Bootstrap Dropdowns
• Bootstrap Buttons
• Bootstrap Button Groups
• Bootstrap Helper Classes
• Bootstrap Panels
• Bootstrap Alerts
• Bootstrap Panels
• Bootstrap Plugins Overview
SQL:
• SQL Introduction
• Installing a Database
• Creating database
• Creating Tables
• insertions
• deletions
• updations
• Groupings and Aggregations
• Eliminating Duplicates
• Filtering• ordering
• merging tables
• Horizontal Merging
• Vertical Merging
• Types of Joins
• Various Built-in Functions
• working with queries
• Sub-queries
Java Script:
- What is Script? Types of Scripts?
- Introduction to JavaScript
- Comments and Types of Comments
- Popup Boxes
- Variables & Operators
- JavaScript Functions and Events
- Conditional Statements
- Looping Control Statements
- I) INTRODUCTION
What is Django?
• Why Django? Key Advantages
• History of Django
• Features of Django
• Characteristics of Django
• Companies Using Django
• Difference b/w MVC and MVT
• Models Views and Templates
- II) WEB FRAMEWORKS
What is a Web Framework?
• What is a server?
• HTTP Requests and HTTP Responses
• What is a web framework?
• What is a web application?
• Steps in Developing web application.
III) DJANGO INSTALLATION
• Django Architecture
• Django Installation
• Virtual Environment
• Working with Pycharm
• Working with ATOM
• Developing First Django Application
- IV) DJANGO PROJECT ARCHITECTURE
Exploring manage.py,
• Exploring urls.py
• Exploring settings.py,
• Exploring admin.py,
• Exploring models.py,
• Exploring views.py,
• Application creations and Examples
- V) DJANGO APPLICATION CREATION
steps in Application creation
• Working with views
• Working with HTML and CSS
• Working with Bootstrap
• Django Application creation in Atom
• Django Application creation in Pycharm
• project with multiple Applications
• Reusing an Application in different projects
• working with static files
- VI) DJANGO VIEWS
Requesting a web page via URL
• Rendering web page via view function
• Render HttpResponse to templates
• Application with multiple views
• Understanding context object and dictionary type
• GET and POST methods
VII) DJANGO TEMPLATES
• Template tags
• Template Filters
• Template API
• Passing Dynamic content to template file
• Passing multiple dict values to the template
• Loading static files
• Adding image file to template
• Advanced Templates
• Template Library
• custom template filter
• custom templates tags
• Registering the tags
VIII) DJANGO ADMIN
• Activating the Admin interface
• Creating a super user for Admin site
• Using the Admin site
• How to use the Admin site
- IX) DJANGO MODELS
working with models and databases
• Defining Models
• Model Fields
• Defining forms
• ModelForms
• make migrations and migrate
• Registering models in settings.py
• Registering models with Admin site
• Connecting with sqlite3
• Connecting with MySQL
• Connecting with Oracle
X) ADVANCED CONCEPTS
• Django ORM
• Faker Module
• Class based views
• Form validation
• Rendering forms
• crispy forms
• MultiselectField
• Embeded Video
• Uploading and downloading Files
• Working with Audio and video
• Integrating with legacy databases and applications
• Sessions users Registrations
• Security
• Django Deployment
• Other Contributed Frameworks
About Python Training in Taxes
Python Training in Texas – MyLearnNest Training Academy
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Python Course Offerings at MyLearnNest Training Academy – Texas
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Python Training Eligibility criteria?
Opportunities for Python Careers:
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Modes of Training For Python Course in New York
What Makes Us The Python Training Institute in Texas
Flexible Timings
Our Python course timings are flexible and user-friendly allowing a convenience for our students.
Complete Hands-On-Training
Practical real-time experience of Python training with hands-on assistance.
Student diaries
We have trained over 350+ students in Python with 198+ successful placements.
Affordable Fees
My Learn Nest does not charge additional or accessory charges or fees for any of the programs from the Python Training in Texas.
Corporate Expert Trainer
We are led by a team of professional and certified Python expert trainers from NIT.
Updated Syllabus
Our Python training syllabus consists of updated concepts and Python to keep our students updated.
Earn a Certificate
Enroll in our Python training in NYC and get a certified course completion certificate.
Lifetime Study Material
You can enjoy lifetime access to our Python study material and LMS.
Testimonials of Python Training in Texas
Software Developer
The Python course was well-structured and covered everything from basics to advanced concepts. The real-world projects and case studies made learning engaging. Thanks to this training, I secured a software developer position at a leading tech company.
Machine Learning Engineer
I enrolled in Python training to upskill in machine learning. The modules on TensorFlow and Scikit-learn were outstanding. The trainers were industry experts, and their insights were invaluable. This course truly boosted my career in AI.
Automation Engineer
I was looking to enhance my automation skills, and this Python course delivered exactly what I needed. The hands-on exercises on scripting and workflow automation were practical and relevant. I can now automate complex tasks efficiently at my workplace.
Web Developer
Learning Python in New York was a great investment. The Django and Flask frameworks were taught in-depth, and the live projects helped me gain confidence. Today, I am successfully developing dynamic web applications.
Machine Learning Specialist
I wanted to transition into machine learning, and this Python training was exactly what I needed. The hands-on labs and real-world case studies were immensely helpful. The focus on libraries like NumPy and Pandas gave me the skills required to excel in my new role as a machine learning specialist.
Python Course Certification
Python Engineer Placements
Software Developer
Web Developer
Automation Tester
Machine Learning Specialist
Advantages of learning Python Training Program
Python has become one of the most sought-after programming languages due to its versatility, simplicity, and wide range of applications. Whether you are a beginner, a working professional, or someone looking to switch careers, enrolling in a Python training program offers numerous benefits. At MyLearnNest Training Academy, our Python training in Texas is designed to equip learners with the necessary skills to excel in software development, data science, web development, automation, and more. Here are the key advantages of learning Python through a structured training program:
- Comprehensive Curriculum: Gain in-depth knowledge of Python, from basic syntax to advanced programming concepts.
- Expert Instructors: Learn from industry professionals with extensive experience in Python development.
- Hands-on Projects: Work on real-world projects to enhance your coding skills and build a strong portfolio.
- Flexible Learning Modes: Choose from online and offline classes to learn at your own pace.
- Career Support: Get personalized career guidance, resume building, and interview preparation.
- Certification Recognition: Receive an industry-recognized certification that boosts your career prospects.
- Job Placement Assistance: Benefit from our dedicated placement support to secure top job opportunities.
- Community and Networking: Join a community of like-minded learners and industry experts.
- Affordable Fees and Discounts: Avail competitive pricing and seasonal discounts on the course fee.
- Location Advantage: Conveniently located in Hyderabad, accessible to local and international students.
At the completion of the course you will get experiential knowledge in – python bootcamp nyc.
- Comprehensive Python Curriculum: Learn Python programming from scratch to advanced concepts in an organized, structured manner.
- Hands-On Projects: Work on real-world projects that enhance your coding skills and prepare you for industry challenges.
- Expert Trainers: Get trained by experienced industry professionals with practical knowledge.
- Job-Ready Skills: Master Python concepts like data structures, OOP, and frameworks, making you ready for Python development roles.
- Learning Python for Various Domains: Gain expertise in Python's applications in data science, machine learning, and web development.
- Exposure to Python Libraries: Learn to use powerful libraries such as NumPy, Pandas, Matplotlib, and more.
- Industry-Relevant Tools: Get hands-on experience with tools and frameworks commonly used in the tech industry, like Django and Flask.
- Project-Based Learning: Develop portfolio-worthy projects to showcase to potential employers.
- Flexible Learning Options: Choose from offline and online classes that fit your schedule and lifestyle.
- Python Bootcamp in NYC: Learn in a vibrant tech hub, providing you access to a wide range of opportunities and networking.
- Personalized Learning Support: Get one-on-one mentoring and guidance to ensure deep understanding.
- GitHub Integration: Learn how to use GitHub for version control, collaborate on open-source projects, and share your work with the developer community.
- Career Opportunities: Open doors to job roles like Python Developer, Data Analyst, Machine Learning Engineer, and more.
- Interactive Learning Environment: Engage in collaborative sessions and discussions with peers and trainers.
- Certification: Receive a recognized certification at the end of the course to validate your expertise.
- Focus on Practical Knowledge: Gain practical knowledge that can be directly applied to real-world problems and job scenarios.
Job Opportunities our Python Training
As for the recent update official indeed, Naukri currently number of jobs are available in Hyderabad, itself here are some of the Python job opportunities
Python Job Titles
Software Development & Engineering
- Python Developer
- Software Engineer (Python)
- Full Stack Python Developer
- Backend Python Developer
- Python Automation Engineer
- Python Software Architect
- Embedded Python Developer
Data Science & Analytics
- Data Scientist (Python)
- Data Analyst (Python)
- Machine Learning Engineer (Python)
- Deep Learning Engineer
- AI Engineer
- NLP Engineer
Web Development
- Django Developer
- Flask Developer
- Python Web Developer
DevOps & Cloud
- DevOps Engineer (Python)
- Cloud Engineer (Python)
- Site Reliability Engineer (SRE)
Cybersecurity & Networking
- Security Engineer (Python)
- Ethical Hacker (Python)
- Network Automation Engineer
Automation & Scripting
- Python Automation Tester
- QA Engineer (Python)
- Scripting Engineer
Finance & Quantitative Roles
- Quantitative Analyst (Python)
- FinTech Developer (Python)
- Algorithmic Trading Developer
John DData Analyst