PYTHON-WRK.AJ2
Python Workshop
Learn the most versatile programming language extensively used by tech giants like Google, Facebook, and Nasa.
- Practice in 44 Laboratorios prácticos — nothing to install
- 12 Lecciones interactivas y 98 topics mapped to the official exam objectives
- 216 Preguntas del examen de práctica
Beginner A tu propio ritmo · 1 año de acceso
44 LiveLabs prácticos
Practice real IT tasks in guided environments.
- Entornos reales
- Calificación automática
- Sin instalación
12Lecciones interactivas
98Topics
44Laboratorio en vivo
216Preguntas del examen de práctica
14Vídeos
75Tarjetas didácticas
75Glosario de términos
01 / Habilidades que obtendrás
What you will be able to do
Try Free →
No se requiere tarjeta de crédito
Python’s popularity isn’t just a trend. It’s here to rule the world of programming! Join our Python Workshop to learn this versatile coding language that powers technology worldwide.
The comprehensive syllabus covers everything from the fundamentals to Object-Oriented Programming (OOP), advanced Python concepts to data science & machine learning.
You’ll be building dynamic apps using frameworks like Django and Flask You’ll get hands-on coding practice with our Lab projects, solving coding challenges, and building your own Python apps.
- Expertise with R programming fundamentals including basic syntax, data structures, control flow, functions & packages
- Skilled at data manipulation, and analysis including import, export, cleaning, processing & exploration
- Ability to perform statistical analysis including descriptive statistics, hypothesis testing, correlation, regression
- Expert at machine learning with decision trees, random forests, support vector machines, neural networks, and clustering
- Create data visualizations using ggplot2 and base R graphics
- Ability to use the shiny framework to build interactive web apps
Course Highlights
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12 Lecciones estructuradas Cobertura completa de los objetivos principales del curso
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44 LiveLabs prácticos Escenarios interactivos guiados con evaluación instantánea
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216 Preguntas de práctica Pruebas de evaluación con justificaciones de respuesta detalladas
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1 año de acceso completo Aprendizaje a tu propio ritmo, accesible en cualquier momento y en todos los dispositivos
02 / Lecciones y laboratorios
See exactly what you will learn and practice
Plan de estudios
12 Lecciones interactivas · 98 topics01 Introduction 1 topics +
- About the Course
02 Vital Python – Math, Strings, Conditionals, and Loops 11 topics · 7 Laboratorio en vivo +
- Introduction
- Vital Python
- Numbers: Operations, Types, and Variables
- Python as a Calculator
- Strings: Concatenation, Methods, and input()
- String Interpolation
- String Indexing and Slicing
- Slicing
- Booleans and Conditionals
- Loops
- Summary
7 Laboratorio en vivo in this lesson — see the labs panel →
03 Python Structures 10 topics · 6 Laboratorio en vivo +
- Introduction
- The Power of Lists
- Matrix Operations
- List Methods
- Dictionary Keys and Values
- Dictionary Methods
- Tuples
- A Survey of Sets
- Choosing Types
- Summary
6 Laboratorio en vivo in this lesson — see the labs panel →
04 Executing Python – Programs, Algorithms, and Functions 11 topics · 7 Laboratorio en vivo +
- Introduction
- Python Scripts and Modules
- Python Algorithms
- Basic Functions
- Iterative Functions
- Recursive Functions
- Dynamic Programming
- Helper Functions
- Variable Scope
- Lambda Functions
- Summary
7 Laboratorio en vivo in this lesson — see the labs panel →
05 Extending Python, Files, Errors, and Graphs 7 topics · 5 Laboratorio en vivo +
- Introduction
- Reading Files
- Writing Files
- Preparing for Debugging (Defensive Code)
- Plotting Techniques
- The Don'ts of Plotting Graphs
- Summary
5 Laboratorio en vivo in this lesson — see the labs panel →
06 Constructing Python – Classes and Methods 8 topics · 3 Laboratorio en vivo +
- Introduction
- Classes and Objects
- Defining Classes
- The __init__ method
- Methods
- Properties
- Inheritance
- Summary
3 Laboratorio en vivo in this lesson — see the labs panel →
07 The Standard Library 9 topics · 2 Laboratorio en vivo +
- Introduction
- The Importance of the Standard Library
- Dates and Times
- Interacting with the OS
- Using the subprocess Module
- Logging
- Collections
- Functools
- Summary
2 Laboratorio en vivo in this lesson — see the labs panel →
08 Becoming Pythonic 9 topics · 4 Laboratorio en vivo +
- Introduction
- Using List Comprehensions
- Set and Dictionary Comprehensions
- Default Dictionary
- Iterators
- Itertools
- Generators
- Regular Expressions
- Summary
4 Laboratorio en vivo in this lesson — see the labs panel →
09 Software Development 7 topics · 2 Laboratorio en vivo +
- Introduction
- Debugging
- Automated Testing
- Creating a PIP Package
- Creating Documentation the Easy Way
- Source Management
- Summary
2 Laboratorio en vivo in this lesson — see the labs panel →
10 Practical Python – Advanced Topics 9 topics · 2 Laboratorio en vivo +
- Introduction
- Developing Collaboratively
- Dependency Management
- Deploying Code into Production
- Multiprocessing
- Parsing Command-Line Arguments in Scripts
- Performance and Profiling
- Profiling
- Summary
2 Laboratorio en vivo in this lesson — see the labs panel →
11 Data Analytics with pandas and NumPy 8 topics · 4 Laboratorio en vivo +
- Introduction
- NumPy and Basic Stats
- Matrices
- The pandas Library
- Data
- Null Values
- Visual Analysis
- Summary
4 Laboratorio en vivo in this lesson — see the labs panel →
12 Machine Learning 8 topics · 2 Laboratorio en vivo +
- Introduction
- Introduction to Linear Regression
- Cross-Validation
- Regularization: Ridge and Lasso
- K-Nearest Neighbors, Decision Trees, and Random Forests
- Classification Models
- Boosting Methods
- Summary
2 Laboratorio en vivo in this lesson — see the labs panel →
Laboratorios prácticos Our edge
44 Laboratorio en vivos- Finding the LCM
- Assigning Values to a Variable
- Calculating the Pythagorean Distance between Three Points
- Displaying Strings in Python
- Using the input() Function
- Using the if-else Syntax
- Using the for Loop
- Using a Nested List to Store Employee Data
- Implementing Matrix Operations
- Accessing an Item from a List
- Adding Items to a List
- Storing Company Employee Table Data Using a List and a Dictionary
- Implementing Set Operations
- Writing and Executing a Script
- Implementing Linear Search
- Implementing Binary Search
- Using Bubble Sort
- Finding the Maximum Number Using Pseudocode
- Checking Whether a Number is Prime
- Finding the Factorial of a Number Using Recursion
- Reading a Text File
- Generating a Density Plot
- Creating a Pie Chart
- Drawing a Scatter Plot to Study the Data
- Visualizing the Titanic Dataset Using a Pie Chart and Bar Plot
- Creating a Class
- Using the init Method
- Implementing Inheritance
- Comparing datetime across Time Zones
- Calculating the Time Delta between Two datetime Objects
- Building a Scorecard Using Dictionary Comprehension and Multiple Lists
- Implementing the __iter__() Method
- Using Regular Expressions to Replace Text
- Using Regular Expressions to Find Winning Customers
- Debugging a Sample Python Code for an Application
- Checking Sample Code with Unit Testing
- Using the Multiprocessing Package
- Using the Argparse Library
- Finding the Mean and Median from a Collection of Income Data
- Using DataFrames to Manipulate Data
- Reading and Viewing the Boston Housing Dataset
- Performing Visual Data Analysis
- Using Machine Learning to Predict Customer Return Rate Accuracy
- Using Linear Regression to Predict the Accuracy of the Median Values of a Dataset
Los laboratorios se ejecutan en tu navegador; no hay nada que instalar.
03 / Preguntas frecuentes
Preguntas antes de empezar
What is a Python Coding Workshop?+
It is a class where you learn Python coding concepts to level up your programming skills and build your own web apps.
What is the duration of this Workshop?+
It’s a self-paced Python workshop that allows you to complete your learning at your own convenience from anytime, anywhere.
Are there any prerequisites for taking this workshop?+
There are no formal prerequisites. It is ideal for beginners.
Is this workshop good for my career?+
Python is the most in-demand programming language. Learning Python can help in career advancement by adding weightage to your resume. It can help you stand out in the crowd of applicants, and aim for high-paying jobs.
Does this workshop cover any advanced Python topics?+
Yes, it covers several advanced topics including:
- Regular Expressions
- Functional Programming
- Iterators and Generators
- Debugging and Testing
- Data Science and Machine Learning
Keep going
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Learn Python, from fundamentals to advanced topics.
- 1 año de acceso completo
- 44 LiveLab incluido
- Certificado de finalización
No se requiere tarjeta de crédito