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Python is commonly used for developing websites and software, automating tasks, analyzing data, and visualizing data. Because it is relatively easy to learn, Python has been adopted by many non-programmers such as accountants and scientists, for a variety of everyday tasks .
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What You'll Learn
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Write efficient Python scripts for web development, automation, and data analysis using Python programming language, libraries, and frameworks
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Develop data visualization and analysis tools with Python for real-world business and scientific applications
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Implement Python for automating repetitive tasks, improving productivity, and streamlining workflows in various industries
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Build and deploy Python-based web applications, websites, and software solutions with best practices and frameworks
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Utilize Python libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization tasks
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Apply Python programming skills to automate data collection, cleaning, and reporting processes in professional environments
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Create Python scripts to analyze large datasets, generate insights, and support decision-making processes
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Debug, troubleshoot, and optimize Python code for performance and reliability in diverse projects
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Integrate Python with databases, APIs, and external tools to enhance application functionality and data management
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Design and implement Python algorithms for problem-solving in scientific research, finance, and engineering
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Use Python for machine learning and artificial intelligence projects, including data preprocessing and model deployment
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Develop automation tools with Python to improve operational efficiency in business workflows
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Apply Python programming concepts to develop scalable, maintainable, and secure software solutions
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Leverage Python frameworks like Django and Flask for rapid web application development and deployment
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Utilize version control and collaborative tools to manage Python projects effectively in team environments
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Implement best practices for writing clean, readable, and reusable Python code for professional software development
Course Content
160 Lessons • 109 h 48 m total
Python Full Course Learn Python in 12 Hours | Python Tutorial For Beginners | Edureka
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Top 5 Programming Languages For Gaming | Best Programming Languages For Game Development | Edureka
Introduction To Python | Learn Python Programming for Beginners | Python Tutorial | Edureka
Variables Data Types In Python | Python Tutorial For Beginners | Python Programming | Edureka
Python F String | String Formatting in Python | Python String Tutorial | Python Training | Edureka
Operators In Python | Python Tutorial For Beginners | Python Training | Edureka
Python Class | Python Classes | Python Programming | Python Tutorial | Edureka
Python OOPS Concepts | Python OOP Tutorial | Python Classes and Objects | Python Tutorial | Edureka
Inheritance In Python | Types of Inheritance | Python OOP Tutorial | Edureka
Python Programs | Fibonacci Series Interview Programs Pattern Programs in Python | Edureka
Edureka Learner Testimonial Nidhi s Success Story
Python Anaconda Tutorial | Introduction to Python With Anaconda | Python Tutorial | Edureka
While Loop In Python | Python While Loop Explained | Python Tutorial For Beginners | Edureka
Python If Else | If Else Statement In Python | Python Training | Edureka
Python Loops Tutorial | Python For Loop | While Loop Python | Python Training | Edureka
Arrays In Python | Python Array Operations | Python Tutorial For Beginners | Edureka
Python Collections Lists Tuples Sets Dictionaries | Python Tutorial | Python Training | Edureka
Python Lists | Python Tuples | Python Sets Dictionary | Python Strings | Python Training | Edureka
Sets In Python | Python Sets Tutorial | Python Tutorial for Beginners | Edureka
Dictionary In Python | Python Dictionary Tutorial | Python Certification Training | Edureka
Python Functions Tutorial | Working With Functions In Python | Python Training | Edureka
Python File Handling | File Operations in Python | Learn python programming | Edureka
Exception Handling In Python | Exceptions In Python | Python Programming Tutorial | Edureka
Python Interview Questions And Answers | Python Interview Preparation | Python Training | Edureka
Python Tutorial for Beginners | Python Programming Language Tutorial | Python Training | Edureka
Map Filter Reduce Functions in Python | Python Built in Functions | Python Tutorial | Edureka
Python Examples | Python Programs For Beginners | Python Tutorial For Beginners | Edureka
How To Install Python Pip | Install Pip On Windows | Python Training | Edureka
5 Simple Steps To Install Python On Windows | Install Python 3 7 | Python Training | Edureka
Python Projects Under 15 Minutes | Best Python Projects For Beginners | Python Training | Edureka
Best Python IDEs For 2021 | Top 10 IDEs for Python | Python Training | Edureka
How To Make a Chatbot in Python | Python Chat Bot Tutorial | Edureka
How Netflix uses Python | Netflix and Python | Python Applications | Edureka
Python Comments | How To Write Comments In Python | Python Tutorial For Beginners | Edureka
Socket Programming in Python | Sending and Receiving Data with Sockets in Python | Edureka
Python Lambda Function | Anonymous Function In Python | Python Tutorial | Edureka
Python XML Parser Tutorial | Read and Write XML in Python | Python Training | Edureka
Requests in Python | Python Request Tutorial | Python Tutorial For Beginners | Edureka
Python RegEx | Python Regular Expressions Tutorial | Python Tutorial | Python Training | Edureka
How to Get The Certificate
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You must have an Account on the platform.
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Complete all lessons.
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Watch at least 50% of Lesson Duration.
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Get your Certificate free 🎉 !
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(74 reviews)
Overall rating
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Kya he yeii. In thumbnail it's 12 hour's course? But when I complete it , it shows it has 160 + lessons, and 1 video is 7 hour's more +++
excellent for the learners
Python Programming | Edureka Course Description
Python is commonly used for developing websites and software, automating tasks, analyzing data, and visualizing data. Because it is relatively easy to learn, Python has been adopted by many non-programmers such as accountants and scientists, for a variety of everyday tasks .
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