Hands-On Application Development with PyCharm: Build applications like a pro with the ultimate python development tool. 2 Ed

Cover....1

Title Page....2

Copyright and Credits....3

Contributors....5

Table of Contents....8

Preface....18

Part 1: The Basics of PyCharm....26

Introduction to PyCharm – the Most Popular IDE for Python....28

Technical requirements....31

The continued success of Python....32

The philosophy of IDEs....33

PyCharm as a Python IDE....38

Intelligent coding assistance....40

Streamlined programming tools....43

Web development options....50

Scientific computing support....50

Understanding the Professional, Community, and Educational editions....51

Summary....53

Questions....53

Further reading....54

Installing and Configuring PyCharm....56

Technical requirements....57

Downloading PyCharm the traditional way....58

JetBrains Toolbox....59

Installing Toolbox in Windows....60

Installing Toolbox in macOS....60

Installing PyCharm with Toolbox....61

Launching PyCharm using Toolbox....63

Installing an alternate version or uninstalling....63

Updating PyCharm using Toolbox....64

Launching and registering PyCharm....65

Setting up PyCharm....66

Appearance and behavior....68

Working with projects....78

Creating a new project....78

Running a PyCharm project....83

Cloning this book’s code from GitHub....85

Setting up your GitHub account....86

Cloning the book’s repository....87

Summary....88

Questions....90

Further reading....90

Part 2: Improving Your Productivity....92

Customizing Interpreters and Virtual Environments....94

Technical requirements....96

Virtual environments....97

Creating a virtual environment by hand....98

Creating a project in PyCharm (revisited)....100

Using an existing virtual environment....103

Changing the interpreter for a project....105

Activating virtualenv....107

Using the integrated terminal....107

Working with the REPL in the console window....109

Working with third-party package libraries....111

Adding third-party libraries in PyCharm....113

Removing third-party libraries in PyCharm....115

Using a requirements.txt file....116

The new Python Packages window....117

Professional features important to virtual environments....119

Importing projects into PyCharm....120

Importing a project cloned from a repository....123

Dealing with invalid interpreters....125

Working with run configurations....128

PyCharm’s project files....132

Summary....134

Questions....135

Further reading....135

Editing and Formatting with Ease in PyCharm....136

Technical requirements....137

Code analysis, inspection, and suggestion....137

It duzunt assewm yew cna spel....139

It understands your code....140

Postfix code completion....141

Hippie completion....143

Indexing....145

Power Save Mode....146

Customizing code completion....147

Match case....148

Sorting suggestions alphabetically....149

Machine learning assisted completions....150

Showing the documentation popup in [...] ms....151

Parameter info....151

Code analysis and automated fixes....152

Problem detection....153

Syntax errors....156

Duplicated code....156

PEP-8 problems....157

Dead code....157

Method signature mismatches....157

The road to good code is paved with PyCharm’s intentions....158

Refactoring....160

What is refactoring?....160

Refactoring tools in PyCharm....160

Documentation....175

Working with docstrings....176

Summary....181

Questions....182

Further reading....182

Version Control with Git in PyCharm....184

Technical requirements....185

Version control and Git essentials....185

Setting up Git on your computer....187

Setting your default username and email address....187

Generating an SSH key....188

Adding your SSH key to your GitHub account....189

Setting up a repository manually....189

Master versus main branches in GitHub....190

Manually initializing the repository....191

Working with remotes....193

Adding a remote on GitHub....193

The first push....194

Making, committing, and pushing a change....194

Working with Git in the IDE....195

Version control in PyCharm....195

Creating a new project from scratch using VCS tooling in PyCharm....199

Initializing the local Git repository....200

Adding a remote on GitHub....202

Adding project files....204

Adding a .gitignore file....204

Pulling and pushing....208

Branching and merging....210

Creating a branch....211

Switching between branches....211

Merging....212

Viewing the branch diagram....212

Diffs and conflict resolution....213

Viewing diffs....218

Summary....219

Questions....219

Further reading....220

Seamless Testing, Debugging, and Profiling....222

Technical requirements....223

Testing, testing, 1-2-3....223

Unit testing in Python using PyCharm....224

Choosing a test library....226

Adding a bank account class....227

Testing the bank account class....228

Running the tests....230

Fixing the failing tests....232

Testing the fault paths....233

Generating tests automatically....234

Generating the transaction test....235

Working with PyCharm’s debugger....243

Using the debugger to find and fix our test problem....246

Checking test coverage....249

Test coverage output....255

Profiling performance....256

Profiling in PyCharm....256

Comparing performance versus the built-in sum() function....259

Viewing the call graph....260

Navigating using the performance profile....261

Performance cProfile snapshots....261

Summary....262

Questions....263

Further reading....263

Part 3: Web Development in PyCharm....264

Web Development with JavaScript, HTML, and CSS....266

Technical requirements....267

Introduction to HTML, JavaScript, and CSS....267

Writing code with HTML....268

Creating HTML in PyCharm....270

Creating an empty project....270

Previewing web pages....273

Reloading the browser view on save....274

Using the PyCharm HTML preview....275

Configuring the available browsers....275

Navigating structure code with the structure window....276

Adding the CSS....277

Using color selectors....279

Adding JavaScript....280

Adding some JavaScript code....280

Adding the elements to the HTML file....281

Debugging client-side JavaScript....282

Working with Emmet templating....284

HTML project types in PyCharm Professional....285

HTML 5 Boilerplate....285

Previewing and editing graphics with external tools....287

Uploading your site to a server....288

Creating a Bootstrap project....296

Working with modern JavaScript and NodeJS....297

Creating a NodeJS project....297

Creating a React project....297

Other frontend frameworks....298

Summary....299

Questions....299

Building a Dynamic Web Application with Flask....300

Technical requirements....301

Web basics – client-server architecture....302

Exploring the request-response mechanism in HTTP – how clients and servers communicate....304

What is Flask?....306

Request-response handling and routing with Werkzeug....307

Templating with Jinja2....308

A note on naming files and folders....309

Creating a Flask application in PyCharm Professional....310

Creating a dynamic web application....312

Setting up the static parts....312

Running the Flask app....317

Let’s make it look a little better....321

Adding some CSS....323

Making the page dynamic....324

Editor enhancements for working with Flask and Jinja2....327

Summary....328

Further reading....329

Creating a RESTful API with FastAPI....330

Technical requirements....333

There is no REST in a wicked stateless world....333

Creating a FastAPI project in PyCharm Professional....337

Running the FastAPI project....339

Working with PyCharm’s HTTP Requests....342

Examining the details of the return....344

We just generated a new run configuration....347

Using Before launch actions in run configurations....348

Working with HTTP Request environments....353

Let’s get CRUDdier and then get testier!....356

Getting testier....359

Creating the tests....363

Editing and debugging a full stack app by attaching projects....365

Creating a React app in a separate project....365

Attaching the project to your FastAPI project we created earlier....367

Summary....369

Questions....369

Further reading....370

More Full Stack Frameworks – Django and Pyramid....372

Technical requirements....373

What’s all this fuss about Django?....373

Django framework components....375

Creating a Django project....377

Structure of a Django project....378

Initial configuration....379

Running the Django project....380

Creating Django models....382

Performing migrations using manage.py....385

The Django admin interface....389

Creating a superuser and logging in....390

Adding the Author and Book models to the admin interface....392

Creating Django views....394

What’s with the weird Python icon in the template gutter?....397

Run it!....398

Building Pyramid applications with PyCharm....398

Creating a Pyramid project....399

Summary....402

Questions....403

Further reading....403

Understanding Database Management in PyCharm....404

Technical requirements....406

Relational databases in a nutshell....406

Structured Query Language....407

The two halves of SQL....408

Relationships....409

More relational structures....411

Database terminology uses simple English plurals....412

Database tooling in PyCharm....413

Setting up a MySQL database server with Docker....413

Installing and running the MySQL container....414

Stopping and starting the container....415

Connecting to data sources using PyCharm....416

Creating a new database....419

Setting the SQL dialect (this is crucial)....421

Grouping and color coding data sources....422

Database design and manipulation....428

Creating a table....428

Altering existing structures....437

Generating scripts....440

Querying the data source using SQL....442

Ad hoc queries....442

Generating SQL statements....444

Running the query....446

Exporting query results....448

Working with SQL files....449

Summary....450

Further reading....451

Part 4: Data Science with PyCharm....452

Turning On Scientific Mode....454

Technical requirements....455

Creating a scientific project in PyCharm....455

Additional configuration for science projects in PyCharm....458

Markdown plugins....460

Adding images....462

Installing the CSV plugin....463

Installing the cell mode plugin....464

Installing packages....465

Backfill your requirements.txt file....467

Adding some sciency code....467

Toggling scientific mode....469

Understanding the advanced features of PyCharm’s scientific projects....471

The documentation viewer....471

Using code cells in PyCharm....473

Using PyCharm code cells....474

The cell mode plugin....476

Summary....477

Questions....478

Dynamic Data Viewing with SciView and Jupyter....480

Technical requirements....480

Data viewing made easy with PyCharm’s SciView panel....481

Viewing and working with plots....482

Heatmaps and correlational data....484

Viewing and working with data....487

Filtering in the Data tab....491

Understanding IPython and magic commands....495

Installing and setting up IPython....496

Introducing IPython magic commands....498

Leveraging Jupyter notebooks....502

Understanding Jupyter basics....503

The idea of iterative development....503

Jupyter notebooks in PyCharm....505

Creating a notebook and adding our code....505

Documenting with Markdown and LaTeX....507

Adding our plots....509

Executing the cells....509

Odds and ends....513

Summary....515

Questions....515

Building a Data Pipeline in PyCharm....516

Technical requirements....517

Working with datasets....517

Starting with a question....518

Archived user data....519

Tappy data....520

Data collection....522

Downloading from an external source....523

Manually collecting/web scraping....523

Collecting data via third parties....523

Database exports....523

Version control for datasets....524

Using Git Large File Support....524

Data cleansing and preprocessing....529

A toxic data example peripherally involving ninjas....529

Exploratory analysis in PyCharm....530

Data cleansing....538

Exploring the second dataset....543

Refactoring for scale....548

Data analysis and insights....552

Starting the notebook and reading in our processed data....553

Using charts and graphs....554

Machine learning-based insights....559

Scripts versus notebooks in data science....562

Summary....563

Questions....563

Further reading....564

Part 5: Plugins and Conclusion....566

More Possibilities with Plugins....568

Technical requirements....568

Bundled plugins and JetBrains Marketplace....569

The plugins window....569

Bundled plugins....570

JetBrains Marketplace....571

Making your own plugins....571

Requiring plugins for your projects....572

Useful miscellaneous plugins....573

Code with me (and never be lonely again)....577

Remote development....579

Configuring remote development in PyCharm....581

Creating a remote project....587

Let’s try that again....591

Creating a virtual environment on the remote....593

Other considerations....593

Working with Docker....594

The bundled Docker plugin....595

Create the project....595

Add a Docker run configuration....597

Summary....602

Your Next Steps with PyCharm....604

Miscellaneous topics in PyCharm....605

Remote virtual environments....605

Working with HashiCorp Vagrant....606

Tracking your time....612

TODO list....615

Macros....615

Notifications....618

New features in 2023.2....618

Black integration....621

GitLab integration....623

Run anywhere....624

AI Assistant....625

Jupyter Notebook support for Polars....629

Summary and closing remarks....629

Further reading....632

Index....634

Other Books You May Enjoy....1

In the quest to develop robust, professional-grade software with Python and meet tight deadlines, it’s crucial to have the best tools at your disposal. In this second edition of Hands-on Application Development with PyCharm, you’ll learn tips and tricks to work at a speed and proficiency previously reserved only for elite developers.

To achieve that, you’ll be introduced to PyCharm, the premiere professional integrated development environment for Python programmers among the myriad of IDEs available. Regardless of how Python is utilized, whether for general automation scripting, utility creation, web applications, data analytics, machine learning, or business applications, PyCharm offers tooling that simplifies complex tasks and streamlines common ones. In this book, you'll find everything you need to harness PyCharm's full potential and make the most of Pycharm's productivity shortcuts. The book comprehensively covers topics ranging from installation and customization to web development, database management, and data analysis pipeline development helping you become proficient in Python application development in diverse domains.

By the end of this book, you’ll have discovered the remarkable capabilities of PyCharm and how you can achieve a new level of capability and productivity.

What you will learn

• Explore basic and advanced PyCharm features
• Set up, configure, and customize your Python projects in PyCharm
• Develop web applications with Flask, Django, FastAPI, and Pyramid
• Discover PyCharm's capabilities for database management and data visualization
• Explore code automation, debugging, and remote development in PyCharm
• Perform data science tasks using Jupyter notebooks, NumPy, and pandas

Who this book is for

This book is for Python practitioners and learners looking to boost their productivity and proficiency by harnessing the features and capabilities of PyCharm, all while gaining insights into best practices for modern application development. Basic knowledge of Python is required, making the book accessible to both newcomers and experienced Python developers.