Python Training in Los angeles
With
100% Placement Assistance
Python Training in Los angeles 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 Los angeles
- 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 Los angeles 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 Los Angeles
At MyLearnNest Training Academy, we offer comprehensive Python training in Los Angeles, designed to help students, professionals, and career switchers master Python programming for software development, data science, automation, and AI applications. Python is one of the most in-demand programming languages, and our expert-led training ensures that learners gain hands-on experience with real-world projects and industry-relevant case studies.
Our Python training program in Los Angeles covers everything from Python fundamentals to advanced topics like object-oriented programming (OOP), data structures, web development (Django & Flask), machine learning, and automation. The course is structured to provide a step-by-step learning approach, making it easy for beginners to grasp Python while also challenging experienced professionals with advanced coding techniques.
We offer flexible learning options, including online Python training and classroom-based training in Los Angeles, allowing students to choose the best learning format for their needs. Additionally, our Python certification program helps learners validate their expertise, improving their job prospects in tech companies, startups, and multinational organizations.
With expert trainers, hands-on projects, career guidance, and placement support, MyLearnNest Training Academy’s Python course in Los Angeles is the perfect way to build a strong foundation in programming and advance your career. Enroll today and start your journey toward becoming a Python expert!
Python Course Offerings at MyLearnNest Training Academy – Los Angeles
At MyLearnNest Training Academy, our Python course in Los Angeles is designed to provide a structured, hands-on learning experience that covers core programming concepts, advanced Python techniques, and real-world applications. The curriculum is tailored for beginners, IT professionals, career switchers, and data enthusiasts who want to gain expertise in Python development, data science, automation, and web technologies.
Our Python training program ensures that students not only understand theoretical concepts but also gain practical knowledge through live projects, industry case studies, and hands-on coding exercises. The curriculum is constantly updated to reflect the latest industry trends and best practices, making it one of the most relevant Python courses in Los Angeles.
Special Features of MyLearnNest Python Training Programs
At MyLearnNest Training Academy, our Python training programs are designed to provide a comprehensive, hands-on learning experience that prepares students for real-world applications in software development, data science, automation, web development, and artificial intelligence. Our training is led by industry experts with over 10 years of experience, ensuring that students receive in-depth knowledge, personalized mentorship, and guidance throughout the learning process. The curriculum is carefully structured to cover Python fundamentals, object-oriented programming, data structures, algorithms, database management, web frameworks (Django & Flask), machine learning, and cloud computing. With a strong emphasis on practical learning, students work on real-world projects, case studies, and coding exercises, helping them develop critical problem-solving skills and gain hands-on experience in Python programming.
One of the key advantages of our Python training program is its flexibility, offering both online and classroom training options to cater to students, working professionals, and career switchers. The training is highly interactive, allowing learners to engage in live coding sessions, hands-on practice, and collaborative projects, making the learning process more effective and engaging. At the completion of the course, students receive a globally recognized Python certification, which adds credibility to their resume and enhances their job prospects in various industries, including IT, finance, healthcare, e-commerce, automation, and artificial intelligence.
At MyLearnNest Training Academy, we go beyond just training; we focus on career development and job readiness. Our dedicated placement assistance includes resume-building support, mock interviews, and job referrals, ensuring that students have the right tools to succeed in their careers. Additionally, we offer affordable course fees with flexible payment options, making high-quality Python education accessible to all learners. With expert instructors, hands-on learning, job placement assistance, and a structured curriculum, our Python training program is designed to help students build a strong foundation in programming and advance their careers in the tech industry. Enroll today and take the first step toward becoming a certified Python expert!
Python Training Eligibility criteria?
At MyLearnNest Training Academy, our Python training program is designed to accommodate learners from diverse backgrounds, whether they are beginners, IT professionals, career switchers, or students looking to build a career in programming. Python is known for its easy-to-learn syntax and wide applicability, making it accessible even to those with no prior coding experience. Our training ensures that learners gain both theoretical knowledge and practical experience, enabling them to apply Python to real-world projects.
Who Can Enroll in the Python Training Program?
Students & Fresh Graduates – Any student pursuing or having completed a degree in Computer Science, Engineering, Mathematics, or related fields can enroll. Even those from non-technical backgrounds can learn Python as it requires no prior programming experience.
Working Professionals – Software developers, IT professionals, system administrators, and testers looking to upskill in Python can join the course to enhance their career prospects in web development, data science, and automation.
Career Switchers & Non-IT Professionals – Individuals looking to transition into software development, data analytics, machine learning, or cybersecurity can leverage Python’s versatility and ease of learning to make a smooth career shift.
Data Analysts & Machine Learning Enthusiasts – Professionals working in finance, healthcare, business intelligence, and data analytics who want to apply Python for data manipulation, automation, and AI-based applications can benefit from the course.
Entrepreneurs & Freelancers – Business owners, startup founders, and freelancers looking to develop applications, automate workflows, or analyze data using Python can gain essential skills through our training.
Prerequisites for Python Training
While Python is beginner-friendly, having the following skills can enhance the learning experience:
Basic computer knowledge (Windows, Mac, Linux). Logical thinking and problem-solving abilities. Familiarity with mathematics and analytical skills (especially for data science and AI-based applications). No prior programming experience required, but familiarity with any coding language can be an added advantage.
Our Python training program at MyLearnNest Training Academy is structured to bridge the gap for beginners while also challenging experienced learners with advanced topics and real-world projects.
What Makes Our Python Training Ideal for All Learners?
One of the reasons Python is widely adopted is its versatility across industries. Whether you are from a technical or non-technical background, learning Python provides career opportunities in web development, data science, cloud computing, automation, cybersecurity, and artificial intelligence.
At MyLearnNest Training Academy, we offer personalized guidance, hands-on projects, flexible learning options (online & in-person), and industry certification, ensuring that every student, regardless of their background, can build a strong foundation in Python programming.
Enroll today in MyLearnNest Training Academy’s Python training program and start your journey toward a rewarding career in tech!
Opportunities for Python Careers:
Python has become one of the most in-demand programming languages, offering a wide range of career opportunities across various industries. Its simplicity, versatility, and extensive library support make it a top choice for professionals in software development, data science, artificial intelligence, web development, and automation. Companies worldwide, including tech giants like Google, Amazon, Facebook, and Microsoft, actively seek Python-skilled professionals, making it an essential skill for anyone looking to enter or advance in the tech industry. At MyLearnNest Training Academy, our Python training program prepares students with hands-on experience, industry-recognized certification, and career guidance to help them secure jobs in top organizations.
One of the most promising career paths in Python is software development, where Python is widely used for web and application development. With frameworks like Django and Flask, Python developers build scalable web applications for businesses of all sizes. Additionally, Python is heavily utilized in data science and analytics, where professionals work with NumPy, Pandas, and Matplotlib to analyze large datasets, create visualizations, and develop predictive models. The artificial intelligence and machine learning sector also relies on Python, with libraries like TensorFlow, Scikit-learn, and Keras enabling the development of AI-driven solutions such as chatbots, recommendation engines, and autonomous systems.
Beyond tech companies, Python is also used in finance, healthcare, cybersecurity, and automation. FinTech companies employ Python for algorithmic trading, risk analysis, and fraud detection, while cybersecurity professionals use it for penetration testing, malware analysis, and security automation. Python is also an essential tool for DevOps engineers, who utilize it for cloud computing, scripting, and infrastructure automation. With job opportunities ranging from Python Developer to Data Scientist, AI Engineer, Cybersecurity Analyst, and DevOps Engineer, Python offers high salaries, job security, and career growth prospects.
The future of Python careers remains strong, with the demand for Python professionals expected to rise as industries continue to adopt AI, machine learning, data analytics, and automation. At MyLearnNest Training Academy, we provide industry-focused Python training, real-world projects, and job placement support, ensuring that our students are job-ready and equipped with the skills needed to excel in their careers. Whether you are a beginner looking to start a career in tech or an experienced professional aiming to upskill, learning Python can open doors to numerous career opportunities. Enroll today and take the next step toward a successful Python career!
Modes of Training For Python Course in Los Angeles
What Makes Us The Python Training Institute in Los Angeles
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 Los Angeles.
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 Los Angeles and get a certified course completion certificate.
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Testimonials of Python Training in Los Angeles
Software Developer
Enrolling in the Python training at MyLearnNest Training Academy in Los Angeles was one of the best decisions I made for my career. The instructors are highly knowledgeable and patient, making complex topics easy to understand. The hands-on projects and real-world applications helped me gain practical experience, which was crucial in securing my first job as a Data Analyst. The career support team also assisted me with resume building and interview preparation, making my job search much smoother. I highly recommend this course to anyone looking to start or advance their career in Python programming!
Machine Learning Engineer
The Python training program at MyLearnNest in Los Angeles provided me with a solid foundation in programming. I had some coding experience before, but this course took my skills to the next level. The real-world projects and coding exercises helped me apply what I learned, and I was able to transition into a Software Engineer role with ease. The trainers are very supportive, and the flexible learning options made it convenient for me to balance learning with my work schedule.
Automation Engineer
I wanted to break into the field of machine learning, and MyLearnNest Training Academy’s Python course in Los Angeles was exactly what I needed. The curriculum covered everything from Python basics to advanced topics like data science and machine learning. The hands-on projects helped me build a strong portfolio, and the placement assistance provided valuable interview tips. Thanks to this training, I landed a role as a Machine Learning Engineer!
Web Developer
I took the Python training course at MyLearnNest in Los Angeles to improve my automation and scripting skills. The instructors did a great job of explaining complex concepts in a simple way, and the practical exercises helped me apply Python in real-world scenarios. After completing the course, I was able to implement automation solutions in my current job, which helped me get promoted to an Automation Engineer role. This training is perfect for anyone looking to upskill and advance in their career.
Machine Learning Specialist
The Python training at MyLearnNest Training Academy in Los Angeles was a game-changer for me. Coming from a non-technical background, I was initially hesitant, but the structured curriculum and hands-on approach made learning Python easy and enjoyable. The real-world projects helped me build confidence, and the instructors were always available for support. After completing the course, I was able to transition into a Web Developer role, using Django and Flask for backend development. I highly recommend this training to anyone looking to start a career in tech!
Python Course Certification
At MyLearnNest Training Academy, we offer a globally recognized Python Course Certification designed to validate your expertise in Python programming and its real-world applications. Whether you are a beginner, IT professional, career switcher, or entrepreneur, earning a Python certification enhances your credentials and increases your job prospects in industries such as software development, data science, machine learning, web development, and automation.
Our Python certification program is structured to ensure learners gain practical experience through hands-on projects, coding exercises, and industry-relevant case studies. The course covers Python fundamentals, object-oriented programming (OOP), data structures, algorithms, web development with Django and Flask, data analysis with Pandas and NumPy, automation, and machine learning. By the end of the training, students will have built real-world applications and completed project-based assessments, making them job-ready for various Python-related roles.
Upon successful completion of the course, learners receive an industry-recognized Python Course Completion Certificate, which can be added to their resume, LinkedIn profile, and job applications. This certification serves as proof of their proficiency in Python and helps them stand out in a competitive job market. Additionally, we provide career support, resume-building assistance, mock interviews, and job placement guidance, ensuring that students have the tools needed to secure high-paying roles in tech.
At MyLearnNest Training Academy, we believe that certification is not just about theory but about practical application and industry relevance. Our Python certification program is designed to bridge the gap between learning and professional success, empowering students to apply Python in real-world scenarios. Whether you are looking to start a career in Python development, data science, AI, or automation, our certification will give you a competitive edge. Enroll today and get certified in Python programming with MyLearnNest Training Academy!
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 widely used programming languages due to its simplicity, versatility, and powerful libraries. Learning Python opens doors to numerous career opportunities in software development, data science, automation, artificial intelligence, and web development. At MyLearnNest Training Academy, our Python training program is structured to provide comprehensive learning with hands-on experience, ensuring that students gain the skills required to excel in the tech industry.
Easy to Learn and Use
Python’s clean and readable syntax makes it an excellent choice for beginners. Unlike other programming languages, Python allows you to write fewer lines of code while achieving the same functionality, making it easier to learn and apply in real-world scenarios.
High Demand and Career Opportunities
Python is one of the most sought-after skills in the job market, with companies across industries actively seeking Python developers. Professionals skilled in Python can pursue careers in:
- Software Development
- Data Science & Machine Learning
- Web Development
- Cloud Computing & DevOps
- Cybersecurity & Ethical Hacking
Versatile Applications in Various Fields
Python is widely used in multiple industries, including: Web Development – Building dynamic websites using Django and Flask. Data Science & Analytics – Using NumPy, Pandas, and Matplotlib for data visualization. Machine Learning & AI – Developing AI-powered applications with TensorFlow and Scikit-learn. Automation & Scripting – Automating repetitive tasks using Python scripts. Cybersecurity & Penetration Testing – Writing security scripts to detect vulnerabilities.
Hands-on Learning with Real-World Projects
Our Python training program at MyLearnNest Training Academy focuses on a practical learning approach. Students work on real-world projects and industry-based case studies to gain hands-on experience in solving real challenges. These projects include:
Developing Web Applications with Django & Flask Building Data Analysis Reports using Python libraries Creating AI-based models for predictions Automating tasks using Python scripts
Flexible Learning Options
We offer both online and classroom Python training, allowing students to choose the learning format that suits them best. Our instructor-led live sessions, recorded lessons, and hands-on coding exercises provide a seamless learning experience for all students.
Industry-Recognized Certification
Upon course completion, students receive a globally recognized Python Certification from MyLearnNest Training Academy, which boosts their resume and enhances their job prospects in top tech companies.
Job Placement Support & Career Assistance
Our Python training program is designed to help learners secure high-paying jobs. We provide:
Resume-building support Mock interviews with industry experts Job placement assistance Career guidance for Python-related roles
Competitive Salaries & Job Security
Python developers earn some of the highest salaries in the tech industry. With roles in data science, AI, and software development, salaries range from $90,000 to $150,000 annually, depending on experience and expertise.
- 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 Los Angeles.
At the completion of the Python Bootcamp in Los Angeles at MyLearnNest Training Academy, you will gain experiential knowledge in Python programming, equipping you with both theoretical expertise and hands-on practical experience. This immersive training program ensures that you master Python fundamentals, object-oriented programming (OOP), data structures, automation, web development, and data science applications. Through real-world projects, coding exercises, and industry-relevant case studies, you will develop problem-solving skills and the ability to build scalable, efficient Python applications.
By the end of the bootcamp, you will have worked on live coding sessions, automation scripts, API integrations, data visualization, and machine learning models, preparing you for roles in software development, data analytics, web development, and AI-powered solutions. The Python Bootcamp in Los Angeles also includes career guidance, technical interview preparation, and a globally recognized Python certification, enhancing your job prospects in top tech companies and startups. With expert mentorship, flexible learning options, and job placement support, this program ensures you are industry-ready and confident in your Python skills. Join MyLearnNest Training Academy today and take the first step toward a rewarding Python career!
- 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
Python Course FAQ's
What is Python?
Why should I learn Python?
Who Can Learn Python
Is Python suitable for beginners?
What will I learn in the Python course at MyLearnNest?
Can a Beginner Learn Python?
Can I get a certification after completing the course?
What are the career opportunities after learning Python?
Why We Choose My Learn Nest For Python Training in Hyderabad
How long is the Python course at MyLearnNest?
Can I learn Python online?
Do I need any prior programming experience to learn Python?
Will I have practical exposure?
What is the cost of the Python course?
Can I attend a Demo Session Before Enrollment?
How can I register for the Python course?
Can I get a refund if I don’t like the course?
What If I have More Queries?
Do I get lifetime access to course materials?
What learning materials and resources are provided in the Python Training program?
Will I get support after completing the course?
Will I Get Proper Practical Training In Python Course?
How Much Salary Can I Expect In The Field of Python Course?
Who are the Trainers?
Will I receive a certification upon completing the Python Training program?
Can I access course materials and resources after completing the Python Training program?
What career opportunities can I pursue after completing the Python Training program?
What projects will I work on during the course?
Will I learn about frameworks like Django or Flask?
Can I access recorded sessions if I miss a class?
Can I access recorded sessions if I miss a class?
How does the course help me with GitHub?
How does the course help me with GitHub?
Will there be assessments during the course?
Will there be assessments during the course?
What is the Python Course Duration?
📌 Regular Training: 6 – 8 weeks
📌 Fast-Track Training: 4 – 5 weeks
📌 Weekend Batches: 8 – 10 weeks (for working professionals)
📌 Self-Paced Learning: Flexible duration with recorded sessions
John DData Analyst