Integrated Web and Data Skills - Build, Analyze ,and Innovate

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Free Download Integrated Web and Data Skills - Build, Analyze ,and Innovate
Published 11/2024
Created by Bluelime Learning Solutions
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 266 Lectures ( 24h 12m ) | Size: 6.12 GB

Full-Stack Data Solutions: Learn Web Development, Data Science, Analysis, and Databases.
What you'll learn
Understand the basics of front-end web development, including HTML, CSS, and JavaScript.
Build responsive web pages with a solid understanding of HTML elements, attributes, and page structure.
Apply CSS styling techniques to design visually appealing and user-friendly websites.
Create interactive web pages using JavaScript for dynamic functionalities like clocks, calculators, and quizzes.
Implement a full-stack web application using the Django framework, including front-end and back-end components.
Set up and manage virtual environments for web development projects.
Establish a database connection and use SQL for storing, retrieving, and managing data in web applications.
Create and configure a user authentication system for secure web applications.
Develop CRUD functionality (Create, Read, Update, Delete) in a web application.
Build and use custom forms in Django for enhanced data handling.
Use SQLite to design, implement, and query relational databases effectively
Understand and execute SQL queries to retrieve, filter, and sort data from databases.
Apply advanced SQL commands like joins, subqueries, and aggregate functions.
Use Jupyter Notebook for Python development in data science and data analysis projects.
Perform data manipulation with Pandas to clean, filter, and organize data.
Visualize data effectively using Python libraries like Matplotlib and Seaborn.
Implement data pre-processing steps like handling missing data and encoding categorical variables.
Understand the fundamentals of machine learning, including supervised, unsupervised, and reinforcement learning.
Load and explore datasets to prepare for model training.
Engineer and select features for building predictive models.
Train and evaluate machine learning models, including logistic regression and decision trees.
Use model evaluation metrics like accuracy, confusion matrix, and classification report.
Build interactive dashboards for data visualization to communicate insights clearly
Requirements
Basic Computer Skills: Familiarity with operating systems (Windows, macOS, or Linux), file management, and software installation.
Computer: A laptop or desktop computer (Windows, macOS, or Linux) with at least 4GB RAM and a modern processor, though 8GB or more is recommended for data science tasks.
Reliable Internet Connection
Description
In today's data-driven world, the ability to build and analyze digital solutions is highly valuable. "Integrated Web and Data Skills: Build, Analyze, and Innovate" is a comprehensive course designed to equip you with versatile skills in web development, data analysis, machine learning, and database management. Whether you're an aspiring developer, data analyst, or someone looking to dive deep into the tech industry, this course will guide you from foundational concepts to advanced, real-world applications.The course begins with core front-end web development concepts using HTML, CSS, and JavaScript, enabling you to create visually appealing, responsive websites. You'll explore the structure of the web, key tools, and concepts like HTTP, allowing you to understand how the internet operates. By the end of this section, you'll be comfortable with building web pages, implementing interactive elements, and designing user-friendly layouts.After establishing a strong front-end foundation, you'll progress to full-stack development using Django, a popular Python framework. Here, you'll learn back-end development, including how to handle user authentication, manage data through databases, and integrate front-end interfaces with server-side logic. By building a complete task management app, you'll gain hands-on experience in creating a full-fledged, data-driven web application, preparing you for real-world development challenges.The course then shifts focus to database management, introducing SQL and database essentials with SQLite. You'll explore how to store, retrieve, and manage data efficiently, empowering you to work confidently with relational databases. This section will solidify your understanding of data organization, SQL commands, and database operations, crucial for any data-centered project.In addition to web development and database skills, this course dives into data analysis and visualization using Python and Pandas. You'll learn to manipulate, clean, and visualize data to uncover insights, preparing you for roles that require analytical problem-solving skills. This section emphasizes practical techniques for processing real-world data, allowing you to create meaningful data reports and visualizations.Finally, you'll explore machine learning fundamentals, including supervised and unsupervised learning, data preprocessing, and model training. You'll work with datasets to create predictive models, evaluate their performance, and integrate machine learning solutions into web applications. By the end of this course, you'll have a solid grasp of machine learning concepts and how to apply them to solve practical problems.Each section is designed to build upon the last, creating a seamless progression from beginner concepts to advanced applications. Through hands-on projects, interactive lessons, and real-world examples, you'll develop an impressive portfolio and the confidence to tackle complex web and data challenges.Course Benefits:Comprehensive Skill Set: Gain a versatile skill set across web development, data science, machine learning, and database management. This integrated approach prepares you to work on cross-functional teams and excel in diverse roles.Practical, Project-Based Learning: Engage in hands-on projects like building a task management app, creating an interactive quiz, developing a calculator, and more. These projects enable you to apply theoretical knowledge in practical ways and build an impressive portfolio.Real-World Applications: This course doesn't just teach skills in isolation; you'll learn how to combine web and data skills to create data-driven applications, analyze data for decision-making, and implement machine learning models that enhance user experiences.In-Demand Technologies: Master industry-standard tools and languages such as HTML, CSS, JavaScript, Python, SQL, and Django, along with data analysis libraries like Pandas. Knowledge of these tools is valuable for a wide range of tech roles.Beginner-Friendly Approach: Starting with the basics and advancing to more complex topics, this course is accessible to learners with no prior programming experience. Each section builds upon the last, so you can learn at your own pace and strengthen your skills progressively.Job-Ready Skills: By covering both development and data skills, this course prepares you for roles such as web developer, data analyst, machine learning engineer, and data scientist. The broad curriculum ensures you are ready to take on multifaceted challenges in today's tech industry.Portfolio Development: Build a portfolio with real-world projects that showcase your skills in full-stack development, data analysis, and machine learning. This portfolio will be invaluable when applying for jobs or freelance projects.This course is ideal for aspiring web developers, data analysts, data scientists, and anyone looking to transition into tech or broaden their expertise in high-demand skills. Join us on this journey to build, analyze, and innovate, equipping yourself with the tools and confidence to succeed in a data-centric world.
Who this course is for
Beginner Web Developers looking to build a strong foundation in HTML, CSS, JavaScript, and back-end development with Python and Django.
Aspiring Data Analysts and Data Scientists who want to expand their data skills with hands-on experience in data processing, visualization, and machine learning.
Career Switchers interested in transitioning into tech, specifically into fields like web development, data analysis, or machine learning, who seek a guided, step-by-step course to learn foundational and advanced skills.
Students and Recent Graduates in computer science, engineering, mathematics, or similar fields who want to enhance their knowledge of web technologies and data skills to make themselves more competitive in the job market.
Early-Career IT Professionals (e.g., junior developers, software interns) who aim to build a more diverse skill set across web development, data science, and database management.
Tech Enthusiasts and Hobbyists who are curious about creating websites, analyzing data, and learning machine learning in a structured and approachable format.
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6.09 GB | 17min 27s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English​

Files Included :

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FileName :1 -Required Tools.mp4 | Size: (3.68 MB)
FileName :2 -What is Http.mp4 | Size: (22.87 MB)
FileName :3 -The web and internet.mp4 | Size: (22.13 MB)
FileName :4 -Installing Visual Studio Code.mp4 | Size: (37.11 MB)
FileName :5 -Installing Web Browsers.mp4 | Size: (9.32 MB)
FileName :6 -Planning a website.mp4 | Size: (4.44 MB)
FileName :7 -Sketching your website design.mp4 | Size: (5.5 MB)
FileName :8 -Choosing assets.mp4 | Size: (24.73 MB)
FileName :9 -Creating files and folders.mp4 | Size: (20.09 MB)
FileName :1 -Creating a Custom User Model.mp4 | Size: (34.59 MB)
FileName :10 -Creating views for the auth app Part 4.mp4 | Size: (20.25 MB)
FileName :11 -Creating URL Patterns for auth app.mp4 | Size: (46.13 MB)
FileName :12 -Including URL Patterns for the auth app in the Project URL.mp4 | Size: (51.49 MB)
FileName :13 -Creating and configuring a root templates directory.mp4 | Size: (22.99 MB)
FileName :14 -Creating a Base template part 1.mp4 | Size: (38.62 MB)
FileName :15 -Creating a Base template part 2.mp4 | Size: (91.71 MB)
FileName :16 -Creating a Base template part 3.mp4 | Size: (58.62 MB)
FileName :17 -Creating home template.mp4 | Size: (37.96 MB)
FileName :18 -Creating custom templatetags.mp4 | Size: (38.12 MB)
FileName :19 -Creating the signup template.mp4 | Size: (51.03 MB)
FileName :2 -Creating a CustomUserCreationForm.mp4 | Size: (47.16 MB)
FileName :20 -Creating a login template.mp4 | Size: (8.36 MB)
FileName :21 -Setting Up Password Reset URL Configuration.mp4 | Size: (19.3 MB)
FileName :22 -Creating Passwordresetform template.mp4 | Size: (18.16 MB)
FileName :23 -Passwordresetdone Template.mp4 | Size: (10.96 MB)
FileName :24 -Passwordresetconfirm template.mp4 | Size: (17.16 MB)
FileName :25 -Creating the Passwordresetcomplete template.mp4 | Size: (13.24 MB)
FileName :26 -Setting Up Redirects URLs.mp4 | Size: (8.39 MB)
FileName :27 -Generate an App Password from Google.mp4 | Size: (19.83 MB)
FileName :28 -Configure Gmail as Your Email Backend in Django.mp4 | Size: (23.05 MB)
FileName :29 -Testing the authentication system.mp4 | Size: (18.3 MB)
FileName :3 -Official Django Supported Databases.mp4 | Size: (16.37 MB)
FileName :30 -Creating a static directory.mp4 | Size: (32.37 MB)
FileName :31 -Creating custom css.mp4 | Size: (41.52 MB)
FileName :4 -Django Migrations.mp4 | Size: (16.51 MB)
FileName :5 -Starting Django Development Server.mp4 | Size: (27.25 MB)
FileName :6 -Create a superuser account.mp4 | Size: (10.68 MB)
FileName :7 -Creating views for the auth app Part 1.mp4 | Size: (25.07 MB)
FileName :8 -Creating views for the auth app Part 2.mp4 | Size: (40.42 MB)
FileName :9 -Creating views for the auth app Part 3.mp4 | Size: (33.93 MB)
FileName :1 -Create a Todo App.mp4 | Size: (5.85 MB)
FileName :10 -Create a todo list html template part 2.mp4 | Size: (55.47 MB)
FileName :11 -Create a todo list html template part 3.mp4 | Size: (20.74 MB)
FileName :12 -Create a todo list html template part 4.mp4 | Size: (64.84 MB)
FileName :13 -Code Modifications.mp4 | Size: (67.22 MB)
FileName :14 -Protecting Todos views.mp4 | Size: (22.78 MB)
FileName :15 -Modifying LOGIN REDIRECT URL.mp4 | Size: (20.87 MB)
FileName :16 -Flashing messages for new created tasks.mp4 | Size: (19.36 MB)
FileName :17 -Fixing Software Bugs.mp4 | Size: (117.84 MB)
FileName :2 -Define the Todo Model.mp4 | Size: (32.26 MB)
FileName :3 -Create and apply Migrations.mp4 | Size: (3.45 MB)
FileName :4 -Create Forms for Task Creation.mp4 | Size: (33.59 MB)
FileName :5 -Define Views for CRUD Operations.mp4 | Size: (36.44 MB)
FileName :6 -Define URLS for Todos APP.mp4 | Size: (39.09 MB)
FileName :7 -Create a Todo form template.mp4 | Size: (31.21 MB)
FileName :8 -Create a todo confirm delete html template.mp4 | Size: (25.1 MB)
FileName :9 -Create a todo list html template part 1.mp4 | Size: (20.44 MB)
FileName :1 -Download and Install SQLite.mp4 | Size: (42.85 MB)
FileName :10 -Querying data from all columns in a table.mp4 | Size: (19.5 MB)
FileName :11 -Querying data from specific columns in a table.mp4 | Size: (22.64 MB)
FileName :12 -Sorting data using ORDER BY clause.mp4 | Size: (31.79 MB)
FileName :13 -Removing duplicate records using DISTINCT clause.mp4 | Size: (23.06 MB)
FileName :14 -Filtering data with WHERE clause.mp4 | Size: (30.49 MB)
FileName :15 -Identifying NULL values.mp4 | Size: (17.11 MB)
FileName :16 -SQLite Data Types.mp4 | Size: (24.02 MB)
FileName :17 -SQLite ALiases.mp4 | Size: (27.88 MB)
FileName :18 -SQLite Constraints.mp4 | Size: (17.97 MB)
FileName :19 -SQLite Create Table Statement - Part 1.mp4 | Size: (26.32 MB)
FileName :2 -What is SQLite Studio.mp4 | Size: (23.89 MB)
FileName :20 -SQLite Create Table Statement - Part 2.mp4 | Size: (42.41 MB)
FileName :21 -SQLite INSERT INTO Table Statement.mp4 | Size: (38.64 MB)
FileName :22 -SQLite UPDATE Statement.mp4 | Size: (15.98 MB)
FileName :23 -SQLite DELETE Statement.mp4 | Size: (11.96 MB)
FileName :24 -SQLite DROP Table Statement.mp4 | Size: (6.81 MB)
FileName :25 -SQLite BETWEEN Operator.mp4 | Size: (20.35 MB)
FileName :26 -SQLite IN Operator.mp4 | Size: (24.51 MB)
FileName :27 -SQLite LIKE operator.mp4 | Size: (31.45 MB)
FileName :28 -SQLite LIMIT clause.mp4 | Size: (27.15 MB)
FileName :29 -What is a subquery.mp4 | Size: (11.41 MB)
FileName :3 -Attaching Sample Database to SQLite.mp4 | Size: (35.99 MB)
FileName :30 -Building a subquery in a WHERE clause.mp4 | Size: (19.16 MB)
FileName :31 -Building a subquery in a WHERE clause using IN operator.mp4 | Size: (15.11 MB)
FileName :32 -Building a subquery in FROM clause.mp4 | Size: (12.52 MB)
FileName :33 -SQLite LEFT Join.mp4 | Size: (25.22 MB)
FileName :34 -SQLite INNER Join.mp4 | Size: (27.24 MB)
FileName :35 -SQLite CROSS Join.mp4 | Size: (23.85 MB)
FileName :36 -SQLite SELF Join.mp4 | Size: (39.07 MB)
FileName :37 -SQLite AVG Function.mp4 | Size: (18.86 MB)
FileName :38 -SQLite COUNT Function.mp4 | Size: (24.51 MB)
FileName :39 -SQLIte SUM Function.mp4 | Size: (11.89 MB)
FileName :4 -How to connect to SQLite Database.mp4 | Size: (23.75 MB)
FileName :40 -SQLite MAX Function.mp4 | Size: (5.46 MB)
FileName :41 -SQLite MIN Function.mp4 | Size: (15.3 MB)
FileName :42 -SQLite GROUP CONCAT Function.mp4 | Size: (8 MB)
FileName :43 -SQLite GROUP BY Clause.mp4 | Size: (17.33 MB)
FileName :44 -SQLite HAVING Clause.mp4 | Size: (30.45 MB)
FileName :5 -Database Concepts.mp4 | Size: (34.75 MB)
FileName :6 -What is sqlite3 tool.mp4 | Size: (9.15 MB)
FileName :7 -Some commonly used sqlite3 commands.mp4 | Size: (36.34 MB)
FileName :8 -SQLite Dump command.mp4 | Size: (45.86 MB)
FileName :9 -SQLite SELECT statement.mp4 | Size: (18.95 MB)
FileName :1 -Installing Pandas and Jupyter Notebook in the Virtual Environment.mp4 | Size: (8.22 MB)
FileName :10 -Python Data Types.mp4 | Size: (7.8 MB)
FileName :11 -Casting Data Types.mp4 | Size: (7.8 MB)
FileName :12 -Python Variables.mp4 | Size: (24.51 MB)
FileName :13 -Python List.mp4 | Size: (35.56 MB)
FileName :14 -Python Tuple.mp4 | Size: (24.2 MB)
FileName :15 -Python Dictionaries.mp4 | Size: (41.4 MB)
FileName :16 -Python Operators.mp4 | Size: (54.55 MB)
FileName :17 -Python Conditional Statements.mp4 | Size: (24.76 MB)
FileName :18 -Python Loops.mp4 | Size: (30.28 MB)
FileName :19 -Python Functions.mp4 | Size: (22.09 MB)
FileName :2 -Starting Jupyter Notebook.mp4 | Size: (18.7 MB)
FileName :3 -Exploring Jupyter Notebook Server Dashboard Interface.mp4 | Size: (11.1 MB)
FileName :4 -Creating a new Notebook.mp4 | Size: (10.57 MB)
FileName :5 -Exploring Jupyter Notebook Source and Folder Files.mp4 | Size: (24.92 MB)
FileName :6 -Exploring the Notebook Interface.mp4 | Size: (37.24 MB)
FileName :7 -Python Expressions.mp4 | Size: (10.2 MB)
FileName :8 -Python Statements.mp4 | Size: (14.55 MB)
FileName :9 -Python Code Comments.mp4 | Size: (12.95 MB)
FileName :1 -Creating a Pandas Series from a List.mp4 | Size: (23.85 MB)
FileName :10 -Manipulating Data in a DataFrame.mp4 | Size: (19.06 MB)
FileName :2 -Creating a Pandas Series from a List with Custom Index.mp4 | Size: (9.65 MB)
FileName :3 -Creating a pandas series from a Python Dictionary.mp4 | Size: (13.11 MB)
FileName :4 -Accessing Data in a Series using the index by label.mp4 | Size: (8.51 MB)
FileName :5 -Accessing Data in a Series By position.mp4 | Size: (8.15 MB)
FileName :6 -Slicing a Series by Label.mp4 | Size: (9.41 MB)
FileName :7 -Creating a DataFrame from a dictionary of lists.mp4 | Size: (29.34 MB)
FileName :8 -Creating a DataFrame From a list of dictionaries.mp4 | Size: (23.37 MB)
FileName :9 -Accessing data in a DataFrame.mp4 | Size: (32.29 MB)
FileName :1 -Installing and importing libraries.mp4 | Size: (22.45 MB)
FileName :1 -Loading the dataset.mp4 | Size: (18.07 MB)
FileName :2 -Exploring the Dataset.mp4 | Size: (35.92 MB)
FileName :3 -Handle missing values and drop unnecessary columns.mp4 | Size: (36.72 MB)
FileName :4 -Encode categorical variables.mp4 | Size: (39.99 MB)
FileName :5 -Create new features.mp4 | Size: (42.16 MB)
FileName :6 -Dropping unnecessary columns.mp4 | Size: (16.99 MB)
FileName :1 -Visualize survival rate by gender.mp4 | Size: (28.24 MB)
FileName :2 -Visualize survival rate by class.mp4 | Size: (13.44 MB)
FileName :3 -Visualize numerical features.mp4 | Size: (14.14 MB)
FileName :4 -Visualize the distribution of Age.mp4 | Size: (16.68 MB)
FileName :5 -Visualize number of passengers in each passenger class.mp4 | Size: (14.32 MB)
FileName :6 -Visualize number of passengers that survived.mp4 | Size: (12.11 MB)
FileName :7 -Visualize the correlation matrix of numerical variables.mp4 | Size: (27.75 MB)
FileName :8 -Visualize the distribution of Fare.mp4 | Size: (24 MB)
FileName :1 -Define features and target variable.mp4 | Size: (20.93 MB)
FileName :2 -Split data into training and testing sets.mp4 | Size: (12.07 MB)
FileName :3 -Standardize features.mp4 | Size: (15.73 MB)
FileName :4 -Train logistic regression model.mp4 | Size: (18.55 MB)
FileName :5 -Making Predictions.mp4 | Size: (14.91 MB)
FileName :1 -Evaluate the model using accuracy, confusion matrix, and classification report.mp4 | Size: (28.59 MB)
FileName :2 -Visualize the confusion matrix.mp4 | Size: (19.42 MB)
FileName :3 -Saving the Model.mp4 | Size: (33.93 MB)
FileName :4 -Loading the model.mp4 | Size: (19.96 MB)
FileName :5 -Improving Understanding of the model's prediction.mp4 | Size: (26.28 MB)
FileName :6 -Building a random forest.mp4 | Size: (44.1 MB)
FileName :7 -Building a decision tree.mp4 | Size: (34.8 MB)
FileName :1 -What is HTML.mp4 | Size: (24.06 MB)
FileName :10 -Creating Links.mp4 | Size: (43.71 MB)
FileName :11 -Using HTML Comments.mp4 | Size: (23.04 MB)
FileName :2 -Anatomy of an HTML Element.mp4 | Size: (9.05 MB)
FileName :3 -Basic structure of an HTML document.mp4 | Size: (32.09 MB)
FileName :4 -Creating a basic HTML document structure -Part 1.mp4 | Size: (25.39 MB)
FileName :5 -Creating a basic HTML document structure -Part 2.mp4 | Size: (18.19 MB)
FileName :6 -Creating a basic HTML document structure -Part 3.mp4 | Size: (30.42 MB)
FileName :7 -What is a source code.mp4 | Size: (39.11 MB)
FileName :8 -HTML Attributes.mp4 | Size: (24.84 MB)
FileName :9 -Marking Up Text.mp4 | Size: (36.1 MB)
FileName :1 -What is CSS.mp4 | Size: (15.7 MB)
FileName :10 -Changing background color.mp4 | Size: (22.7 MB)
FileName :11 -CSS Border property.mp4 | Size: (42.38 MB)
FileName :12 -Positioning and styling page title.mp4 | Size: (38.81 MB)
FileName :13 -CSS display property.mp4 | Size: (40.84 MB)
FileName :14 -CSS Font property.mp4 | Size: (26.69 MB)
FileName :15 -Using google fonts.mp4 | Size: (41.75 MB)
FileName :2 -Ways to apply CSS.mp4 | Size: (68.4 MB)
FileName :3 -Styling multiple properties.mp4 | Size: (13.8 MB)
FileName :4 -Styling multiple elements.mp4 | Size: (16.6 MB)
FileName :5 -Modifying CSS.mp4 | Size: (27.22 MB)
FileName :6 -Css basic selectors.mp4 | Size: (53.81 MB)
FileName :7 -Css comments.mp4 | Size: (24.29 MB)
FileName :8 -CSS Box Model.mp4 | Size: (19.91 MB)
FileName :9 -CSS Margin and Padding Property.mp4 | Size: (45.88 MB)
FileName :1 -What is JavaScript.mp4 | Size: (9.42 MB)
FileName :10 -Assignment Operators.mp4 | Size: (12.95 MB)
FileName :11 -Operator Precedence.mp4 | Size: (15.88 MB)
FileName :12 -JavaScript String Operators.mp4 | Size: (15.89 MB)
FileName :13 -JavaScript comparison operators.mp4 | Size: (32.13 MB)
FileName :14 -JavaScript Logical operators.mp4 | Size: (12.29 MB)
FileName :15 -JavaScript Typeof operators.mp4 | Size: (10.86 MB)
FileName :16 -Conditionals.mp4 | Size: (22.1 MB)
FileName :17 -Introduction to JavaScript functions.mp4 | Size: (28.56 MB)
FileName :18 -JavaScript Comments.mp4 | Size: (14.27 MB)
FileName :19 -JavaScript Events.mp4 | Size: (18.77 MB)
FileName :2 -Where to place JavaScript.mp4 | Size: (50.78 MB)
FileName :20 -Adding Image Changer.mp4 | Size: (62.93 MB)
FileName :21 -Adding Personalised welcome message.mp4 | Size: (117.22 MB)
FileName :3 -JavaScript Variables.mp4 | Size: (22.53 MB)
FileName :4 -Variable Naming Convention.mp4 | Size: (21.92 MB)
FileName :5 -Introduction to JavaScript Arrays.mp4 | Size: (20.46 MB)
FileName :6 -Data Types.mp4 | Size: (39.2 MB)
FileName :7 -Mixing data types.mp4 | Size: (19.17 MB)
FileName :8 -Introduction to JavaScript Operators.mp4 | Size: (4.01 MB)
FileName :9 -Arithmetic Operators.mp4 | Size: (28.95 MB)
FileName :1 -What we will create.mp4 | Size: (1.35 MB)
FileName :2 -Creating project folder and HTML.mp4 | Size: (17.21 MB)
FileName :3 -Creating Canvas Object.mp4 | Size: (28 MB)
FileName :4 -Creating the clock face.mp4 | Size: (31.22 MB)
FileName :5 -Drawing the clock numbers.mp4 | Size: (31.23 MB)
FileName :6 -Drawing the time and hand.mp4 | Size: (53.23 MB)
FileName :1 -Overview.mp4 | Size: (5.17 MB)
FileName :2 -What we will create.mp4 | Size: (5.04 MB)
FileName :3 -Creating directories and files.mp4 | Size: (7.09 MB)
FileName :4 -creating the app structure.mp4 | Size: (47.94 MB)
FileName :5 -Styling the app.mp4 | Size: (47.96 MB)
FileName :6 -Creating the functionality.mp4 | Size: (68.59 MB)
FileName :1 -What we will create.mp4 | Size: (4.31 MB)
FileName :2 -Creating project directory and files.mp4 | Size: (12.33 MB)
FileName :3 -Creating the project structure.mp4 | Size: (12.34 MB)
FileName :4 -Adding CSS.mp4 | Size: (41.78 MB)
FileName :5 -Adding functionality Part1.mp4 | Size: (87.04 MB)
FileName :6 -Adding functionality Part2.mp4 | Size: (41.52 MB)
FileName :1 -How to write JSON Syntax.mp4 | Size: (54.78 MB)
FileName :2 -How to create a JSON Object.mp4 | Size: (48.82 MB)
FileName :1 -Python Installation on Windows via Microsoft Store.mp4 | Size: (21.97 MB)
FileName :10 -Updating pip in virtual environment.mp4 | Size: (5.55 MB)
FileName :11 -Installing django.mp4 | Size: (7.5 MB)
FileName :12 -What is a Django Project.mp4 | Size: (9.74 MB)
FileName :13 -Creating a Django project.mp4 | Size: (33.6 MB)
FileName :14 -Creating a Django App.mp4 | Size: (11.07 MB)
FileName :15 -Exploring the structure and contents of a new Django App.mp4 | Size: (21.11 MB)
FileName :2 -Python installation with installer.mp4 | Size: (22.61 MB)
FileName :3 -Python Installation on Mac.mp4 | Size: (28.85 MB)
FileName :4 -Installing Python Extension for visual studio code.mp4 | Size: (12.68 MB)
FileName :5 -Installing Black code formatter for visual studio code.mp4 | Size: (14.82 MB)
FileName :6 -What are virtual environments.mp4 | Size: (6.43 MB)
FileName :7 -Creating and activating a virtual environment on Windows.mp4 | Size: (20.39 MB)
FileName :8 -Creating a virtual environment on MacOS.mp4 | Size: (22.26 MB)
FileName :9 -Activating a virtual environment on MacOS.mp4 | Size: (12.09 MB)

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