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درصورت عدم همخوانی توضیحات با کتاب
از ساعت 7 صبح تا 10 شب
ویرایش: [4 ed.]
نویسندگان: Singh A.
سری:
ISBN (شابک) : 9798321458457
ناشر: Independently Published
سال نشر: 2024
تعداد صفحات: 419
[423]
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 21 Mb
در صورت تبدیل فایل کتاب Python Programming: 4th Edition به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب برنامه نویسی پایتون: ویرایش چهارم نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
Python Programming AKNOWLEDGEMENT PREFACE Python Programming CONTENTS Chapter 1 Getting Started with Python The difference between "Python Implementation" vs. "Python distribution" vs. Python Features/Advantages of Using Python Language Limitations/Disadvantages of Python Language 1. Difficulty in Using Other Languages 2. Weak Language in Mobile Computing 3. Gets Slow in Speed 4. Run-time Errors 5. Underdeveloped Database Access Layers Varieties of Python Language: Some Jargon Chapter 2 Installing Python https://www.python.org/downloads/ python i Download the latest version for Windows How to Test the Python in Microsoft Windows Chapter 3 Interacting with Python 1. Interactive Interpreter 2. Script from the Command-line 3. Integrated Development Environment IDLE: Pythons Integrated Development Environment (IDE) Recently added |L IDLE (Python 3.9 64-bit) |L Python 3.9 Module Docs (64-bit) B? Python 3.9 Manuals (64-bit) The Python Shell Window Chapter 4 Python Syntax Multiple Statements on a Single Line Multi-line statements The print Statement The print() function Multi-Line Output. Important: Python 3.x The raw_input() Function raw_input(/prompt/) The input() Function Chapter 5 Variables and Data Types Strings 1. Integer (int) Octal literals (base 8) Hexadecimal literals (base 16) Binary literals (base 2) Converting Integers to their String Representation 2. Floating-point numbers 3. Complex numbers Conversion of Number Type Numeric Conversion Functions Numeric Function Definitions int(x) float(x) long(x) complex(reaZ, [imagf) Collection Functions Date and Time Exercises Chapter 6 Python Basic Operators Arithmetic Operators Assignment Operators Multiple Assignment Statement Relational or Comparison Operators Logical Operators not Bit Manipulation Operators Chapter 7 Pythons Built-in Functions The input() Function The range() function The print() Function abs() max() type() len() Chapter 8 Conditional Statements pass The assert Statement The if-else Ternary Operator else: Chapter 9 Loops Using the range() Function with the for Loop Using pass Statement Using a break statement Using continue Statement Nested loops Chapter 10 User-Defined Functions function body/statements return [expression] Function Varieties Arguments Returning values The return Statement Default arguments and keyword arguments The global Statement Functions and Namespaces Chapter 11 Useful Modules Importing modules Changing module names Location Time module sleep Timing things os module - Working with files and directories Changing the directory Getting the current directory Getting the files in a directory Changing and deleting files Copying files More with os.path os.walk Quitting your program Zip files For getting files from the internet Sound Finding Modules: The Path The exec Statement Chapter 12 Classes and Object-Oriented Programming Classes in ^Python Semantics Class in Python How to define Python classes Creating and Using Objects Garbage Collection Python Constructors Customizing Objects init Method del Method repr Method str Method Further topics Polymorphism Built-in Functions isinstance(oi/ect, type) super(type) Exercises Chapter 13 Exceptions Exceptions versus Syntax Errors Raising an Exception Exception Handling: The try and except Block The else Clause Cleaning Up After Using finally Built-in Exceptions exception AttributeError exception NotlmplementedError A Digression Chapter 14 Multithreaded Programming Starting a New Thread Creating Thread Using Threading Module Synchronizing Threads Multithreaded Priority Queue Chapter 15 Text Files in Python File Semantics File Organization and Structure The open Function file.closed file.mode file.name The close() Method The write() Method The read() Method File Positions Renaming and Deleting Files The remove() Method Directories in Python The mkdir() Method The chdir() Method The getcwd() Method The rmdir() Method File & Directory Related Methods Exercises Chapter 16 Regular Expressions What are various methods of Regular Expressions? 6. re.compile() What are the most commonly used operators? Output: Output: Chapter 17 String, List & Dictionary Creating a string (and special characters) >>> u"\u0041" Strings are immutable Formatter >>> print("%s %s" % ("a", "b")) Operators Methods Methods for string manipulation Methods that return a modified version of the string Methods to find position of substrings Methods to build or decompose a string LISTS Quick example Difference between appendQ and extendQ index insert remove POP count sort reverse Slicing List comprehension ... ifi%2==0: Filtering Lists Lists as Stacks Lists as Queues > > > import copy Inserting items into a sorted list MAPPINGS AND DICTIONARIES Quick example Methods to create new dictionary Combining dictionaries iterators Chapter 18 Python Pandas 2. Open and run the installer NumPy - Introduction Operations using NumPy Customizing NumPy NumPy - Ndarray Object Sr.No. Data Types & Description Data Type Objects (dtype) Example 2 NumPy - Ways of Array Creation numpy.empty Sr.No. Parameter & Description numpy.zeros Parameter & Description numpy.ones Shape Dtype Order Introduction to Data Structures Python Pandas - Series Create a Series from ndarray 12 c Create a Series from diet Create a Series from Scalar Accessing Data from Series with Position Retrieve Data Using Label (Index) Python Pandas DataFrame pandas.DataFrame S.No Parameter & Description Create DataFrame Create an Empty DataFrame Create a DataFrame from Lists Create a DataFrame from Diet of ndarrays I Lists Create a DataFrame from List of Diets Column Selection Column Addition Column Deletion Row Selection, Addition, and Deletion Selection by Label Selection by integer location Slice Rows Addition of Rows Deletion of Rows Python Pandas - Panel pandas.Panel() Parameter Description Create Panel Create an Empty Panel Selecting the Data from Panel Using Items Using major_axis Using minor_axis Data Transferring Saving A pandas Dataframe As A CSV Create dataframe Data Transferring - SQLite Databases and DataFrame Id Name Country Active Reading results into a pandas DataFrame Id Name Country Active df.to_sql("daily_flights", conn, if_exists="replace") index id Departure arrival number route_id Chapter 19 GUI Programming using Tkinter Label component Options of Label Changing label properties grid Spanning multiple rows or columns Spacing Entry component Getting text Deleting text Inserting text Button component lambda trick Frame component Images Canvas component Naming things, changing them, moving them, and deleting them Text component Statement Description Scale component GUI Events Description Key events Note Event examples Title bar Disabling things Getting the state of a component Destroying things Stopping a window from being closed Updating Dialogs Menu bars New windows pack StringVar The Python Imaging Library Using images other than GIFs with Tkinter Chapter 20 Database Connectivity import MySQLdb Description INSERT Operation READ Operation Update Operation DELETE Operation Performing Transactions COMMIT Operation ROLLBACK Operation Disconnecting Database Procedure Handling Errors Warning Error InterfaceError DatabaseError DataError OperationalError IntegrityError InternalError ProgrammingError Chapter 21 The Python Library Overview of the Python Library tarfile xml.dom urllib2 CGIHTPPServer asyncore Chapter 22 101 Python Programs