Python Mastery Course: From Beginner to Advanced (2024)
Python Mastery Course: From Beginner to Advanced (2024), available at $54.99, has an average rating of 3.79, with 148 lectures, based on 7 reviews, and has 2323 subscribers.
You will learn about Students will learn the basic concepts of Python programming language, including installation and setup of the Python environment, fundamental syntax, and data They will explore control flow structures like loops and conditional statements, along with function definitions and usage. Advanced topics such as file handling, classes, and object-oriented programming will be covered. Additionally, students will implement various algorithms and data structures in Python and work on practical applications through hands-on projects and cases Finally, they will gain proficiency in performing sentiment analysis and cryptography using Python libraries. This course is ideal for individuals who are Beginners interested in learning Python programming from scratch. or Students aiming to build a strong foundation in Python for various applications such as data analysis, web development, machine learning, and more. or Professionals seeking to expand their skill set or transition into roles that require Python proficiency. or Anyone looking to start a career in software development, data science, artificial intelligence, or related fields. It is particularly useful for Beginners interested in learning Python programming from scratch. or Students aiming to build a strong foundation in Python for various applications such as data analysis, web development, machine learning, and more. or Professionals seeking to expand their skill set or transition into roles that require Python proficiency. or Anyone looking to start a career in software development, data science, artificial intelligence, or related fields.
Enroll now: Python Mastery Course: From Beginner to Advanced (2024)
Summary
Title: Python Mastery Course: From Beginner to Advanced (2024)
Price: $54.99
Average Rating: 3.79
Number of Lectures: 148
Number of Published Lectures: 148
Number of Curriculum Items: 148
Number of Published Curriculum Objects: 148
Original Price: $99.99
Quality Status: approved
Status: Live
What You Will Learn
- Students will learn the basic concepts of Python programming language, including installation and setup of the Python environment, fundamental syntax, and data
- They will explore control flow structures like loops and conditional statements, along with function definitions and usage.
- Advanced topics such as file handling, classes, and object-oriented programming will be covered.
- Additionally, students will implement various algorithms and data structures in Python and work on practical applications through hands-on projects and cases
- Finally, they will gain proficiency in performing sentiment analysis and cryptography using Python libraries.
Who Should Attend
- Beginners interested in learning Python programming from scratch.
- Students aiming to build a strong foundation in Python for various applications such as data analysis, web development, machine learning, and more.
- Professionals seeking to expand their skill set or transition into roles that require Python proficiency.
- Anyone looking to start a career in software development, data science, artificial intelligence, or related fields.
Target Audiences
- Beginners interested in learning Python programming from scratch.
- Students aiming to build a strong foundation in Python for various applications such as data analysis, web development, machine learning, and more.
- Professionals seeking to expand their skill set or transition into roles that require Python proficiency.
- Anyone looking to start a career in software development, data science, artificial intelligence, or related fields.
Welcome to the Python Mastery Course for 2024! This comprehensive course is designed to take you from a beginner to an advanced Python programmer, covering a wide range of topics and real-world applications.
Whether you’re just starting your journey in programming or looking to expand your Python skills, this course will provide you with the knowledge and hands-on experience needed to become proficient in Python programming.
Throughout the course, you will learn essential Python concepts, such as variables, loops, functions, and data structures. You’ll also explore more advanced topics, including file handling, object-oriented programming, and working with libraries for data analysis, machine learning, and web development.
In addition to theoretical knowledge, this course emphasizes practical learning through hands-on projects and case studies. You’ll have the opportunity to build real-world applications, including chatbots, expense manager apps, cryptography tools, and sentiment analysis systems, allowing you to apply your Python skills to solve practical problems.
By the end of this course, you’ll have the confidence and expertise to tackle a wide range of programming tasks using Python and be well-prepared to pursue further studies or embark on a career in software development, data science, or artificial intelligence.
Get ready to embark on an exciting journey into the world of Python programming and unleash your full potential as a Python developer!
Section 1: Python For Beginners: 2024
This section serves as an introduction to Python programming for beginners. Starting with an overview of Python basics and installation, learners will gradually progress through fundamental concepts such as loops, functions, and advanced topics like working with text data.
Section 2: Python Intermediate Training: 2024
In this intermediate section, learners will delve deeper into Python programming, focusing on topics such as working with matrices, sorting methods, and data structures. They will explore advanced techniques for handling lists, dictionaries, and various sorting algorithms.
Section 3: Python Advanced Training: 2024
The advanced training section builds upon the foundational knowledge gained in the previous sections, covering topics like file handling, classes and objects, exceptions, and standard library functions. Learners will deepen their understanding of Python programming and its application in real-world scenarios.
Section 4: Python Case Study – Create Chatbot
In this case study section, learners will apply their Python skills to create a chatbot. They will learn about text processing techniques, natural language understanding, and the implementation of generative and attentive chatbots using advanced Python libraries.
Section 5: Python Case Study – Expense Manager App
This case study focuses on building an expense manager application using Python. Learners will develop skills in data management, user input handling, and data visualization as they create a functional expense management system.
Section 6: Python Case Study – Instant Markup
In this case study, learners will work on creating an advanced markup system using Python. They will explore concepts such as rule-based processing, data gathering, and PDF manipulation to develop an automated markup tool.
Section 7: Python Case Study – Cryptography
This section introduces learners to the field of cryptography using Python. They will learn about various encryption techniques, including substitution ciphers, transposition ciphers, and public-key cryptography, and implement them programmatically.
Section 8: Python Case Study – Sentiment Analysis
In the final case study, learners will delve into sentiment analysis using Python. They will learn about sentiment analysis algorithms, data cleaning techniques, and sentiment classification methods to analyze textual data for sentiment polarity.
Course Curriculum
Chapter 1: Python For Beginners: 2024
Lecture 1: Python Basic Introduction
Lecture 2: Installation of Python
Lecture 3: Installation Python Continue
Lecture 4: Examples on Python Part 1
Lecture 5: Examples on Python Part 2
Lecture 6: Examples on Python Part 3
Lecture 7: Python Basics Part 1
Lecture 8: Python Basics Part 2
Lecture 9: Python Basics Part 3
Lecture 10: Loops in Python Part 1
Lecture 11: Loops in Python Part 2
Lecture 12: Loops in Python Part 3
Lecture 13: More on Loops
Lecture 14: Functions Examples Part 1
Lecture 15: Functions Examples Part 2
Lecture 16: Functions Examples Part 3
Lecture 17: Advance Loop Examples
Lecture 18: Advance Loop Examples Continued
Lecture 19: More on Advance Loop Examples
Chapter 2: Python Intermediate Training: 2024
Lecture 1: Course Introduction
Lecture 2: Working on Matrix in Python
Lecture 3: Working on Matrix in Python Continued
Lecture 4: Performing Sort
Lecture 5: Merging to Dictionaries
Lecture 6: Concatenation of List Example
Lecture 7: Excepting Values in List and Adding those Using for Loop
Lecture 8: Excepting Values in List and Adding Those Using While Loop
Lecture 9: Performing Arithmetic Operation on List
Lecture 10: Performing Arithmetic Operation on List Continued
Lecture 11: Data Structure in Python
Lecture 12: Data Structure in Python Continued
Lecture 13: List and Dictionary in Python
Lecture 14: List and Dictionary in Python Continued
Lecture 15: Various Sorting Methods in Python Part 1
Lecture 16: Various Sorting Methods in Python Part 2
Lecture 17: Binary Search Example
Lecture 18: Reversing a String
Lecture 19: Dictionary Examples
Lecture 20: More on List and Dictionary Examples
Lecture 21: String Examples
Chapter 3: Python Advanced Training: 2024
Lecture 1: Introduction to Advanced
Lecture 2: File Handling in Python
Lecture 3: More on Python File Handling
Lecture 4: Advance File Handling
Lecture 5: File Handling Examples
Lecture 6: Classes and Objects in Python
Lecture 7: Python Classes
Lecture 8: Python Classes and Objects
Lecture 9: More on Classes and Objects
Lecture 10: Linked List Example
Lecture 11: Exceptions in Python
Lecture 12: Exceptions in Python Continued
Lecture 13: Standard Library Functions
Lecture 14: Standard Library Functions Continued
Chapter 4: Python Case Study – Create Chatbot
Lecture 1: Introduction to Project
Lecture 2: Downloading Understating
Lecture 3: Installation of Tools Anaconda and NLTK
Lecture 4: Reflection Dictionary
Lecture 5: Pairs
Lecture 6: Checking Output Part 1
Lecture 7: Checking Output Part 2
Lecture 8: Checking Output Part 3
Lecture 9: Checking Output Part 4
Chapter 5: Python Case Study – Expense Manager App
Lecture 1: Introduction to Project
Lecture 2: Expense Form Creation Part 1
Lecture 3: Expense Form Creation Part 2
Lecture 4: Expense Form Creation Part 3
Lecture 5: Saving Expense Data
Lecture 6: Saving Expense Data Continue
Lecture 7: Categories and Date
Lecture 8: Categories and Date Continue
Lecture 9: More on Categories and Date
Lecture 10: Adding Custom Category Part 1
Lecture 11: Adding Custom Category Part 2
Lecture 12: Adding Custom Category Part 3
Lecture 13: Plotting Data on Chart Part 1
Lecture 14: Plotting Data on Chart Part 2
Lecture 15: Plotting Data on Chart Part 3
Lecture 16: Different Data Part 1
Lecture 17: Different Data Part 2
Lecture 18: Different Data Part 3
Lecture 19: Different Data Part 4
Chapter 6: Python Case Study – Instant Markup
Lecture 1: Introduction
Lecture 2: Paragraph
Lecture 3: First implementation
Lecture 4: Rule Superclass
Lecture 5: Constructing rules and filters
Lecture 6: Handler script Part 1
Lecture 7: Handler script Part 2
Lecture 8: Rules Script Part 1
Lecture 9: Rules Script Part 2
Lecture 10: Main Program
Lecture 11: Preparations
Lecture 12: Gathering Data
Instructors
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EDUCBA Bridging the Gap
Learn real world skills online
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- 3 stars: 1 votes
- 4 stars: 3 votes
- 5 stars: 2 votes
Frequently Asked Questions
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