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  What is Pandas?  pandas provide rich data structures and functions designed to make working with structured data fast, easy, and expressive. It is, as you will see, one of the critical ingredients enabling Python to be a powerful and productive data analysis environment. The primary object in pandas that will be used in this book is the DataFrame, a twodimensional tabular, column-oriented data structure with both row and column labels: >>>  frame total_bill tip sex smoker day time size  1 16.99 1.01 Female No Sun Dinner 2  2 10.34 1.66 Male No Sun Dinner 3  3 21.01 3.5 Male No Sun Dinner 3  4 23.68 3.31 Male No Sun Dinner 2  5 24.59 3.61 Female No Sun Dinner 4  6 25.29 4.71 Male No Sun Dinner 4  7 8.77 2 Male No Sun Dinner 2  8 26.88 3.12 Male No Sun Dinner 4  9 15.04 1.96 Male No Sun Dinner 2  10 14.78 3.23 Male No Sun Dinner 2  pandas combine the high-performance array-computing features of NumPy with the flexible data manipulation capabilities of spreadsheets and relati

What is NumPy ??  NumPy, short for Numerical Python, is the foundational package for scientific computing in Python. The majority of this book will be based on NumPy and libraries built on top of NumPy. It provides, among other things:  • A fast and efficient multidimensional array object ndarray  • Functions for performing element-wise computations with arrays or mathematical operations between arrays  • Tools for reading and writing array-based data sets to disk  • Linear algebra operations, Fourier transform, and random number generation  • Tools for integrating connecting C, C++, and Fortran code to Python  Beyond the fast array-processing capabilities that NumPy adds to Python, one of its primary purposes with regards to data analysis is as the primary container for data to be passed between algorithms. For numerical data, NumPy arrays are a much more efficient way of storing and manipulating data than the other built-in Python data structures. Also, libraries written in a lower-l

Why Not Python? While Python is an excellent environment for building computationally-intensive scientific applications and building most kinds of general-purpose systems, there are a number of uses for which Python may be less suitable. As Python is an interpreted programming language, in general, most Python code will run substantially slower than code written in a compiled language like Java or C++. As programmer time is typically more valuable than CPU time, many are happy to make this tradeoff. However, in an application with very low latency requirements (for example, a high-frequency trading system), the time spent programming in a lower-level, lower-productivity language like C++ to achieve the maximum possible performance might be time well spent. Python is not an ideal language for highly concurrent, multithreaded applications, particularly applications with many CPU-bound threads. The reason for this is that it has what is known as the global interpreter lock (GIL), a mechan

  Why Python for Data Analysis?  For many people (myself among them), the Python language is easy to fall in love with. Since its first appearance in 1991, Python has become one of the most popular dynamic, programming languages, along with Perl, Ruby, and others. Python and Ruby have become especially popular in recent years for building websites using their numerous web frameworks, like Rails (Ruby) and Django (Python). Such languages are often called scripting languages as they can be used to write quick-and-dirty small programs or scripts. I don’t like the term “scripting language” as it carries a connotation that it cannot be used for building mission-critical software. Among interpreted languages, Python is distinguished by its large and active scientific computing community. Adopttion of Python for scientific computing in both industrial applications and academic research has increased significantly since the early 2000s.   For data analysis and interactive, exploratory computi

 Which Countries are WhatsApp Banned? In 2009, WhatsApp was released. It had amazing features like Texting, VOIP calling, and others. It revolutionized the way of communicating with your relatives, friends, and loved ones. Even though this made it easier to connect to people, some countries have banned the app completely. This leaves the question that why WhatsApp and is banned or banned. Some believe that the restrictions on the application are because of national security concerns. Other than that, the WhatsApp ban could be due to governments trying to support the local telecommunication companies. WhatsApp is banned in over 7 countries. This is a list of countries in which WhatsApp is banned. Are you intrigued about what countries have banned such a game-changing application? keep reading to find out. List of Countries Where WhatsApp Is Banned Following are the countries that have banned WhatsApp. It is banned for their residents and within the jurisdiction, they will not be able to

Fact About Tiger   हेलो हाय दोस्तों सेव द टाइगर स्लोगन तो आपने सुना ही होगा कि पूरी दुनिया में सिर्फ 39 से की स्पष्टतया बचें जिनमें से 70 पर सेंट आफ एयर इंडिया में आज हम जानेंगे इंट्रस्टिंग फैक्ट अबाउट टाइगर है कि नंबर ऑन एक टाइगर अट राजघाट तक की आवाज पैदा कर सकता है और इसका दहर तीन किलोमीटर दूर से सुना जा सकती है फैक्स नंबर टू एक टाइगर एक रात में 27 किलोमीटर खा सकते है ट्रैक नंबर 31 टाइगर 300 किलो वजन और तेरा फीट तक लंबा हो सकता है फर्स्ट नंबर फोर टाइगर के शरीर पर पाए जाने वाले धनिया भी हमारे फिंगरप्रिंट की तरह यूनिक होता है ट्रैक नंबर फाइव टाइगर 65 किलोमीटर प्रति घंटा की रफ्तार से भाग सकते और तो टाइगर 30 फीट लंबी छलांग और 12 फीट ऊंची छलांग लगा सकते हैं तो दोस्तों इनमें से कौन सा पहली बार सुना है कमेंट करके जरूर बताएं और तो उसका जा रहे हो लाइक एंड सबमिट कर दे | Click hare :-  https://youtu.be/BNlY7CLzWiI

BitTorrent CryptoCurrency & Wink coin price Increase in 2022 हेलो हाय दोस्तों आज हम इस वीडियो में बात करने वाले हैं ऐसे यह दो प्रेगनेंसी के बारे में जो कि 2019 के इन्हें ग्रुप के लाइन क्रॉस कर सकते हैं दोस्तों स्टार्ट करने से पहले हमारा चैनल को सबस्क्राइब करके हमारे साथ जुड़े टुकड़े सिखा दो क्वेश्चन है जो ₹1 के लाइन को पॉज सकता है 2022 के इन तक वहीं एंड बिटवीन यू एंड बिट टोरेंट को इन दोनों की आलू ₹1 का टॉनिक जो है एक के नजदीक और थोड़ा सा लेकिन इस लाइन में सकता है 2030 तक सबस्क्राइब और तो मार्किट में बहुत ज्यादा हो सकता है तो आप अपने रिसर्च करके पैसा लगा सकते हो और दूसरे को अभी तक सबस्क्राइब और अच्छा रिटर्न दे सकते हैं रिचार्ज भी जरूरी |